Banking And Finance Closed Loop Systems | Interest Rates, Funding, Asset-Liability Management and the Banking Book

Asset-liability management is where a bank turns a collection of deposits, loans, securities, hedges, currencies and funding maturities into one balance-sheet system. Interest-rate risk, funding risk, liquidity risk, deposit behaviour, loan prepayment, credit-spread risk and structural currency risk do not arrive in separate boxes. They interact through timing. A bank can fund a ten-year fixed-rate asset with deposits that reprice tomorrow, hold liabilities that can leave before assets mature, hedge economic value while changing earnings volatility, or protect net interest income while increasing liquidity needs through collateral and margin.

This guide covers the search intent behind asset liability management, bank ALM, interest rate risk in the banking book, IRRBB, net interest income, economic value of equity, duration gap, repricing gap, deposit beta, non-maturity deposits, funds transfer pricing, liquidity risk, funding risk, maturity mismatch, hedging, interest-rate swaps and balance-sheet management. The central idea is that a bank’s balance sheet is a coupled control system. Every asset choice creates a funding requirement; every funding choice creates repricing and maturity behaviour; every hedge changes cash-flow sensitivity; and every rate move changes customers’ incentives to refinance, prepay, withdraw or remain.

Current global standards reinforce that systems view. The Basel Framework defines interest-rate risk in the banking book as risk to a bank’s capital and earnings from adverse interest-rate movements and requires both economic-value and earnings-based measures. ECB Banking Supervision’s 2025 ALM conference described ALM as the management of mismatches between bank assets and liabilities in timing, value and currency, encompassing liquidity, funding, interest-rate, spread and structural currency risks. A rigorous closed-loop model therefore asks not “what happens if rates rise?” but which cash flows reprice, which customers change behaviour, which hedge moves, which funding cost changes, which liquidity call arrives, and which metric feeds back into the next balance-sheet decision?

Scope. This article is educational applied mathematics, not bank-management advice, prudential compliance advice, hedging advice, financial advice or investment advice. Product terms, accounting treatments and regulatory rules vary by jurisdiction and institution. Use current official standards and institution-specific governance where precision is required.

50-second router

• For the lane master, use Banking And Finance Closed Loop Systems | The Complete System.
• For liquidity and capital, read Balance Sheets, Liquidity, Capital and the Mathematics of Bank Survival.
• For the core ALM model, read Assets and liabilities live on different clocks.
• For rate risk, read NII and EVE answer different questions.
• For deposits, read Non-maturity deposits are behavioural liabilities.
• For funding, read Maturity transformation is the business model and the risk.
• For hedging, read A hedge moves risk; it does not delete the system.
• For scenarios, read ALM laboratory.

Assets and liabilities live on different clocks

The simplest ALM problem is mismatch. A fixed-rate mortgage may generate cash flows for decades. A deposit may be legally withdrawable on demand but behaviourally stable. Wholesale debt may mature in six months. A floating-rate corporate loan may reprice every quarter. A securities portfolio may revalue instantly when market rates change. These clocks do not align automatically.

The bank earns a spread partly because it transforms maturity and liquidity. It gives some customers long-term credit while giving others short-notice access to deposits. That transformation creates value, but it also creates risk. If short-term liabilities reprice or leave faster than long-term assets, earnings and liquidity can compress before the asset book can adapt.

ALM is therefore the deliberate design of those mismatches rather than the elimination of all mismatch. A bank with perfectly matched maturities and repricing dates might sacrifice valuable intermediation functions. The goal is a chosen risk profile inside capital, liquidity, earnings and operational constraints.

IRRBB: risk to earnings and economic value

The Basel Framework defines IRRBB as current or prospective risk to a bank’s capital and earnings arising from adverse interest-rate movements affecting the banking book. The same rate shock can alter the present value of assets and liabilities and also alter future net interest income. Those are related but different measurement views.

Economic value of equity looks at the present-value sensitivity of future cash flows. A long-duration fixed-rate asset loses more economic value when discount rates rise than a short-duration liability, all else equal. Net interest income looks at how interest income and expense change over a chosen future horizon as instruments reprice or mature.

A hedge that reduces one can worsen the other over some horizons. A bank can stabilise near-term NII while accepting longer-term EVE sensitivity, or vice versa. That is why Basel requires attention to both. One number cannot summarise the whole rate-risk state.

Gap analysis: a first map, not the final model

Repricing-gap analysis places rate-sensitive assets and liabilities into time buckets based on when their interest rates can reset. If 500 of assets reprice within three months and 700 of liabilities reprice, the simple gap is -200. A rate rise can therefore increase funding cost faster than asset yield in that bucket, all else equal.

The limitation is behavioural complexity. A deposit with no contractual maturity may not reprice immediately. A mortgage can prepay before contractual maturity. A loan can have caps or floors. A customer can switch products. A gap table is useful because it creates structure; it is dangerous when its bucket assignments are treated as physical facts rather than modelling assumptions.

Closed-loop ALM therefore sends observed customer behaviour back into the gap model. Deposit betas, decay rates, prepayment speeds and early-redemption behaviour are estimated, monitored and versioned. The gap itself is a learned system state.

Duration and economic-value sensitivity

Duration approximates how a fixed-income instrument’s value changes when yields move. A simple duration-gap view compares asset and liability duration after adjusting for balance-sheet scale. It helps reveal whether long-lived assets are funded by economically shorter liabilities.

Convexity matters for larger rate moves because the price-yield relationship is not linear. Optionality matters because cash flows themselves can change when rates move. A mortgage borrower can refinance when rates fall; a depositor can move funds when competing rates rise. This makes banking-book duration behaviour-dependent.

The specialist BTT article How Banks Measure Interest-Rate Risk: Duration, Convexity and Scenario Shocks owns the detailed mathematics. The closed-loop article asks what the duration result causes the bank to do next.

NII: the earnings channel

Net interest income is interest income minus interest expense before other items. A rate rise can increase NII if assets reprice faster or further than liabilities. It can reduce NII if deposit and wholesale funding costs rise first. The sign depends on timing, product mix and customer behaviour.

Deposit betas are central. If a policy or market reference rate rises 100 basis points and a deposit rate rises 40, the observed beta for that move is 0.40. But beta is not a universal constant. It can change with competition, product type, rate level, customer sophistication and the speed of market repricing.

NII is also affected by volume. Higher rates can reduce loan demand or accelerate deposit migration. A static balance-sheet simulation that changes rates but freezes customer quantities can miss the largest behavioural response.

EVE: the present-value channel

Economic value of equity measures the present value of expected asset cash flows minus the present value of expected liability cash flows, under defined assumptions. A rate shock changes discount factors and sometimes the cash-flow path itself. The result is a long-horizon sensitivity rather than an accounting-equity forecast.

EVE is useful because it captures value changes that may not appear immediately in near-term earnings. A bank can enjoy temporarily strong NII while the economic value of fixed-rate assets falls sharply. The tension between near-term earnings and longer-term value is a classic ALM trade-off.

The Basel disclosure framework uses prescribed interest-rate shock scenarios to make banks’ IRRBB sensitivity more comparable. Internal models can be richer, but the discipline is the same: define the scenario, cash flows, behavioural assumptions and discounting method explicitly.

Non-maturity deposits are behavioural liabilities

A current or savings deposit may have no contractual maturity, yet customers often leave balances in place for long periods. ALM models therefore assign behavioural duration or decay assumptions rather than treating every deposit as certain to leave tomorrow. That assumption is economically important because it affects both EVE and NII.

The same deposit can behave differently across regimes. In a low-rate environment, customers may tolerate low deposit rates. In a high-rate environment, they may move funds to time deposits, money-market products or competitors. Digital access can shorten the time required to act. Behavioural maturity is therefore state-dependent.

A closed-loop deposit model observes actual runoff and repricing after rate changes, compares it with assumptions, and updates the model. If the model does not learn from customer response, ALM decisions become detached from the liability side of the balance sheet.

Prepayment is the asset-side behavioural option

Fixed-rate loans often contain borrower optionality. When rates fall, borrowers may refinance or prepay. That returns principal to the bank earlier than expected, precisely when reinvestment yields are lower. This is negative convexity in many mortgage structures.

When rates rise, prepayment can slow. The bank is then left holding below-market fixed-rate assets for longer. Duration extends when rates rise and contracts when rates fall—the opposite of what the bank would prefer. This is why mortgage hedging and ALM need behavioural prepayment models.

Prepayment is not purely rate-driven. Housing turnover, borrower credit quality, refinancing friction, loan seasoning and local market structure matter. A closed-loop model updates the hazard function from realised behaviour rather than imposing one static curve forever.

Maturity transformation is the business model and the risk

Banks often fund long-lived assets with liabilities that are shorter or behaviourally callable. This maturity transformation supports credit availability and customer liquidity. It also creates refinancing risk. If liabilities mature before assets return cash, the bank must roll funding, attract deposits, sell assets or use collateral.

The maturity ladder is the basic tool: place expected cash flows and funding maturities into time buckets and calculate gaps. The sophisticated part is not the arithmetic but the behavioural assumptions—how much deposit runoff, credit-line drawdown, prepayment or wholesale rollover should be expected under normal and stressed conditions.

The existing BTT route How Banks Model Wholesale-Funding Rollover Risk owns the detailed refinancing mechanism. ALM places it beside interest-rate, liquidity and capital effects.

Funds transfer pricing closes the internal loop

A lending desk can appear profitable if it ignores the cost of funding and liquidity supplied by the rest of the bank. Funds transfer pricing assigns an internal funding curve and liquidity value to products so that business-line pricing reflects balance-sheet cost.

If a five-year loan consumes stable funding, its internal transfer price should not be based on the cheapest overnight deposit just because that funding happens to be available today. The internal price sends maturity and liquidity cost back to the originating desk.

The feedback loop is treasury cost → transfer price → loan or deposit pricing → customer behaviour → balance-sheet mix → treasury cost. Bad FTP can reward growth that weakens the group even when each business line appears profitable locally.

A hedge moves risk; it does not delete the system

Interest-rate swaps, futures, options and securities can change the sensitivity of the banking book. A receive-fixed/pay-floating swap can reduce or increase fixed-rate exposure depending on the starting position. A hedge that reduces economic-value risk may create collateral or liquidity needs if it is margined.

Basis risk remains if the hedge reference rate differs from the customer-product rate. Behavioural risk remains if deposits or prepayments differ from the assumed duration. Counterparty and operational risks remain. Hedge accounting may introduce additional reporting considerations. A hedge is therefore a transformation of the risk vector, not an eraser.

The specialist BTT route How Banks Construct Interest-Rate Hedges owns the detailed mechanism. This article keeps the full balance-sheet feedback visible.

ALCO as a control loop

Many banks govern ALM through an asset-liability committee or equivalent structure. The committee receives measurements of interest-rate risk, funding, liquidity, deposit behaviour, capital and market conditions. It compares them with risk appetite and limits, then changes hedges, pricing, funding, asset growth or contingency plans.

This is a classic feedback controller: observe state → compare with boundary → choose action → observe new state. The quality of the loop depends on data timeliness, model quality, authority to act, execution speed and side-effect awareness.

A committee can fail even with good data if actions are too slow. It can also destabilise the system by overreacting to noisy signals. Governance is therefore a control-theory problem as much as an organisational one.

Alicia, Tricia and Kai Kai read one rate shock

Alicia follows the customer. Market rates rise 150 basis points. Mortgage refinancing falls, deposit customers ask for higher rates and new borrowers reduce demand. Her lesson is that product volumes change when rates change.

Tricia follows the balance sheet. Fixed-rate securities fall in economic value, floating-rate loans reprice upward, deposits reprice with a delay and wholesale funding reprices at maturity. Her lesson is that each line has a different clock.

Kai Kai follows the constraint. Higher deposit rates compress NII; lower securities values reduce collateral capacity; lower prepayment extends duration; margin calls consume cash. His lesson is that a hedge evaluated on one metric can worsen another constraint.

ALM laboratory: 36 worked mini-cases

1. Repricing gap

Setup. Assets repricing in 3 months = 500; liabilities = 700.

Closed-loop reading. Simple gap = -200; a rate rise can raise liability cost faster than asset yield in that bucket. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

2. Positive gap

Setup. Assets repricing in 3 months = 800; liabilities = 600.

Closed-loop reading. Simple gap = +200; near-term rate rises can support NII before behavioural effects. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

3. Deposit beta

Setup. Reference rate rises 100 bp; deposit rate rises 35 bp.

Closed-loop reading. Observed beta = 0.35 for that move. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

4. Beta acceleration

Setup. A later 100 bp rise produces a 70 bp deposit increase.

Closed-loop reading. Beta doubles to 0.70, showing regime dependence. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

5. Duration loss

Setup. Asset modified duration 5 and yield rises roughly 1%.

Closed-loop reading. First-order price change is about -5% before convexity. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

6. Liability duration

Setup. Liability duration is 2 while asset duration is 5.

Closed-loop reading. Economic-value sensitivity is asset-heavy unless other offsets exist. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

7. Prepayment fall

Setup. Mortgage CPR falls as rates rise.

Closed-loop reading. Expected asset duration extends, increasing sensitivity. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

8. Prepayment surge

Setup. Rates fall and refinancing accelerates.

Closed-loop reading. Principal returns earlier when reinvestment yields are lower. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

9. FTP mismatch

Setup. Loan yield 6%; true matched funding cost 4%; desk uses 2% overnight cost.

Closed-loop reading. Local margin is overstated by 2 percentage points before other costs. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

10. Wholesale rollover

Setup. Funding 100 matures next month and reprices 250 bp higher.

Closed-loop reading. Annualised cost rises about 2.5 on that 100. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

11. Swap hedge

Setup. Fixed-rate asset is paired with pay-fixed/receive-floating or the inverse depending on desired exposure.

Closed-loop reading. Hedge direction must be defined from the starting cash-flow sensitivity, not from product labels. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

12. Margin effect

Setup. Hedge reduces EVE sensitivity but creates 15 same-day margin call.

Closed-loop reading. Market risk falls while liquidity need rises. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

13. Basis risk

Setup. Loan references one rate; hedge references another.

Closed-loop reading. Spread between indices can move even if the overall rate level is hedged. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

14. Deposit runoff

Setup. Higher market rates cause 10% of low-rate deposits to leave.

Closed-loop reading. Funding volume changes as well as funding price. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

15. Term migration

Setup. Customers move from demand deposits into higher-rate term deposits.

Closed-loop reading. Funding may become more stable while cost rises. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

16. Loan demand

Setup. New-loan applications fall 20% after rate rise.

Closed-loop reading. Static-balance-sheet NII forecasts can overstate future earning assets. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

17. Fixed deposit maturity

Setup. A 200 term deposit matures in one month.

Closed-loop reading. Repricing and rollover risk arrive together. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

18. Securities maturity

Setup. A 100 bond matures and cash is reinvested at higher yields.

Closed-loop reading. Earnings improve gradually as the asset book turns over. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

19. NII lag

Setup. Assets fixed for 12 months; deposits reprice in 3 months.

Closed-loop reading. Funding cost moves before asset income. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

20. EVE/NII conflict

Setup. Hedge stabilises next-year NII but increases long-duration value sensitivity.

Closed-loop reading. Optimising one metric can worsen the other. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

21. Currency mismatch

Setup. USD assets 300 funded partly by SGD liabilities.

Closed-loop reading. Rate and FX funding channels interact. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

22. Structural hedge

Setup. A stable equity or deposit base is economically treated as long-duration funding.

Closed-loop reading. Behavioural assumptions become central to hedge design. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

23. Credit spread shock

Setup. Banking-book securities widen in spread without risk-free rates moving.

Closed-loop reading. CSRBB can affect economic value separately from pure rate risk. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

24. Liquidity spread

Setup. Wholesale funding spread rises while policy rate is unchanged.

Closed-loop reading. Funding cost changes without a parallel asset-yield move. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

25. Embedded floor

Setup. Loan has a rate floor that binds as market rates fall.

Closed-loop reading. Asset yield becomes nonlinear. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

26. Deposit floor

Setup. Deposit rates cannot fall below a practical or contractual floor.

Closed-loop reading. Liability sensitivity becomes asymmetric. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

27. Cap

Setup. Floating-rate loan has an upper cap.

Closed-loop reading. Asset income stops rising beyond the cap while funding can keep repricing. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

28. Early withdrawal

Setup. Term deposit allows withdrawal penalty.

Closed-loop reading. Behavioural maturity can be shorter than legal maturity. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

29. Loan pipeline

Setup. Committed fixed-rate loans have not yet funded.

Closed-loop reading. Pipeline hedging matters before balance-sheet recognition. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

30. Credit-line draw

Setup. Corporate clients draw commitments during stress.

Closed-loop reading. Assets and funding needs grow when market funding may be weakest. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

31. Capital interaction

Setup. EVE loss reduces economic capital headroom.

Closed-loop reading. Interest-rate risk feeds future growth constraints. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

32. Liquidity interaction

Setup. Securities sold for liquidity crystallise rate-driven value losses.

Closed-loop reading. Liquidity management converts valuation risk into realised loss. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

33. Model drift

Setup. Deposit beta estimated at 0.25 moves to 0.65.

Closed-loop reading. Historical assumptions must be recalibrated. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

34. Scenario asymmetry

Setup. Rate-up shock and rate-down shock have different prepayment/deposit responses.

Closed-loop reading. Linear sensitivity is insufficient. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

35. Parallel vs nonparallel

Setup. Short rates rise while long rates fall.

Closed-loop reading. Yield-curve shape risk matters beyond one parallel shock. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

36. Recovery action

Setup. ALCO changes pricing, hedge and funding tenor after a limit breach.

Closed-loop reading. The control loop closes only when the post-action state is remeasured. Then trace the second-order effect on customer behaviour, liquidity, capital, pricing or the next ALCO decision.

ALM matrix: 190 scenario-and-response tests

Scenario 1: how parallel rate rise travels through non-maturity deposits

Start with non-maturity deposits, whose ALM role is behavioural customer funding. The disturbance shift the entire curve upward. Measure beta, decay, concentration and runoff, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through deposit pricing and liquidity buffers. If customers reprice or leave faster than assumed, the original balance-sheet design no longer matches reality. Remember that price, income and behaviour move on different clocks. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 2: feedback test for non-maturity deposits

Treat non-maturity deposits as part of a coupled asset-liability system, not as an isolated product. Its job is behavioural customer funding. Under parallel rate fall, shift the curve downward. Track beta, decay, concentration and runoff and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires deposit pricing and liquidity buffers; otherwise customers reprice or leave faster than assumed. Because floors and prepayment create asymmetry, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 3: ALCO decision around non-maturity deposits

The state variable non-maturity deposits provides behavioural customer funding. After curve steepening, long rates rise relative to short rates. Observe beta, decay, concentration and runoff and identify the first limit or economic objective that becomes binding.

Management can act through deposit pricing and liquidity buffers. If customers reprice or leave faster than assumed, the feedback loop has broken. The central lesson is that duration and funding effects diverge. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 4: non-maturity deposits under curve flattening

non-maturity deposits are modelled as behavioural customer funding. Apply curve flattening: short rates rise relative to long rates. Observe beta, decay, concentration and runoff. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is deposit pricing and liquidity buffers. Failure occurs when customers reprice or leave faster than assumed. The systems lesson is that deposit and wholesale cost can reprice first. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 5: how curve inversion travels through non-maturity deposits

Start with non-maturity deposits, whose ALM role is behavioural customer funding. The disturbance short rates exceed long rates. Measure beta, decay, concentration and runoff, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through deposit pricing and liquidity buffers. If customers reprice or leave faster than assumed, the original balance-sheet design no longer matches reality. Remember that carry and funding economics can compress. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 6: feedback test for non-maturity deposits

Treat non-maturity deposits as part of a coupled asset-liability system, not as an isolated product. Its job is behavioural customer funding. Under deposit competition shock, competitors reprice aggressively. Track beta, decay, concentration and runoff and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires deposit pricing and liquidity buffers; otherwise customers reprice or leave faster than assumed. Because beta and migration jump, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 7: ALCO decision around non-maturity deposits

The state variable non-maturity deposits provides behavioural customer funding. After wholesale spread shock, market credit spread widens. Observe beta, decay, concentration and runoff and identify the first limit or economic objective that becomes binding.

Management can act through deposit pricing and liquidity buffers. If customers reprice or leave faster than assumed, the feedback loop has broken. The central lesson is that funding cost changes without policy-rate change. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 8: non-maturity deposits under liquidity stress

non-maturity deposits are modelled as behavioural customer funding. Apply liquidity stress: outflows and collateral needs rise. Observe beta, decay, concentration and runoff. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is deposit pricing and liquidity buffers. Failure occurs when customers reprice or leave faster than assumed. The systems lesson is that ALM becomes a same-day constraint. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 9: how credit deterioration travels through non-maturity deposits

Start with non-maturity deposits, whose ALM role is behavioural customer funding. The disturbance borrower risk rises. Measure beta, decay, concentration and runoff, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through deposit pricing and liquidity buffers. If customers reprice or leave faster than assumed, the original balance-sheet design no longer matches reality. Remember that rate and credit effects interact. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 10: feedback test for non-maturity deposits

Treat non-maturity deposits as part of a coupled asset-liability system, not as an isolated product. Its job is behavioural customer funding. Under model-regime break, historical behaviour ceases to hold. Track beta, decay, concentration and runoff and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires deposit pricing and liquidity buffers; otherwise customers reprice or leave faster than assumed. Because assumption risk becomes first-order, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 11: ALCO decision around term deposits

The state variable term deposits provides contractual fixed-maturity funding. After parallel rate rise, shift the entire curve upward. Observe maturity wall, renewal rate and price and identify the first limit or economic objective that becomes binding.

Management can act through rollover pricing and tenor diversification. If large maturities cluster, the feedback loop has broken. The central lesson is that price, income and behaviour move on different clocks. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 12: term deposits under parallel rate fall

term deposits are modelled as contractual fixed-maturity funding. Apply parallel rate fall: shift the curve downward. Observe maturity wall, renewal rate and price. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is rollover pricing and tenor diversification. Failure occurs when large maturities cluster. The systems lesson is that floors and prepayment create asymmetry. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 13: how curve steepening travels through term deposits

Start with term deposits, whose ALM role is contractual fixed-maturity funding. The disturbance long rates rise relative to short rates. Measure maturity wall, renewal rate and price, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through rollover pricing and tenor diversification. If large maturities cluster, the original balance-sheet design no longer matches reality. Remember that duration and funding effects diverge. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 14: feedback test for term deposits

Treat term deposits as part of a coupled asset-liability system, not as an isolated product. Its job is contractual fixed-maturity funding. Under curve flattening, short rates rise relative to long rates. Track maturity wall, renewal rate and price and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires rollover pricing and tenor diversification; otherwise large maturities cluster. Because deposit and wholesale cost can reprice first, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 15: ALCO decision around term deposits

The state variable term deposits provides contractual fixed-maturity funding. After curve inversion, short rates exceed long rates. Observe maturity wall, renewal rate and price and identify the first limit or economic objective that becomes binding.

Management can act through rollover pricing and tenor diversification. If large maturities cluster, the feedback loop has broken. The central lesson is that carry and funding economics can compress. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 16: term deposits under deposit competition shock

term deposits are modelled as contractual fixed-maturity funding. Apply deposit competition shock: competitors reprice aggressively. Observe maturity wall, renewal rate and price. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is rollover pricing and tenor diversification. Failure occurs when large maturities cluster. The systems lesson is that beta and migration jump. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 17: how wholesale spread shock travels through term deposits

Start with term deposits, whose ALM role is contractual fixed-maturity funding. The disturbance market credit spread widens. Measure maturity wall, renewal rate and price, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through rollover pricing and tenor diversification. If large maturities cluster, the original balance-sheet design no longer matches reality. Remember that funding cost changes without policy-rate change. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 18: feedback test for term deposits

Treat term deposits as part of a coupled asset-liability system, not as an isolated product. Its job is contractual fixed-maturity funding. Under liquidity stress, outflows and collateral needs rise. Track maturity wall, renewal rate and price and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires rollover pricing and tenor diversification; otherwise large maturities cluster. Because ALM becomes a same-day constraint, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 19: ALCO decision around term deposits

The state variable term deposits provides contractual fixed-maturity funding. After credit deterioration, borrower risk rises. Observe maturity wall, renewal rate and price and identify the first limit or economic objective that becomes binding.

Management can act through rollover pricing and tenor diversification. If large maturities cluster, the feedback loop has broken. The central lesson is that rate and credit effects interact. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 20: term deposits under model-regime break

term deposits are modelled as contractual fixed-maturity funding. Apply model-regime break: historical behaviour ceases to hold. Observe maturity wall, renewal rate and price. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is rollover pricing and tenor diversification. Failure occurs when large maturities cluster. The systems lesson is that assumption risk becomes first-order. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 21: how parallel rate rise travels through wholesale debt

Start with wholesale debt, whose ALM role is market funding. The disturbance shift the entire curve upward. Measure spread, tenor and rollover, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through issuance plan and asset growth. If markets close or reprice, the original balance-sheet design no longer matches reality. Remember that price, income and behaviour move on different clocks. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 22: feedback test for wholesale debt

Treat wholesale debt as part of a coupled asset-liability system, not as an isolated product. Its job is market funding. Under parallel rate fall, shift the curve downward. Track spread, tenor and rollover and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires issuance plan and asset growth; otherwise markets close or reprice. Because floors and prepayment create asymmetry, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 23: ALCO decision around wholesale debt

The state variable wholesale debt provides market funding. After curve steepening, long rates rise relative to short rates. Observe spread, tenor and rollover and identify the first limit or economic objective that becomes binding.

Management can act through issuance plan and asset growth. If markets close or reprice, the feedback loop has broken. The central lesson is that duration and funding effects diverge. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 24: wholesale debt under curve flattening

wholesale debt are modelled as market funding. Apply curve flattening: short rates rise relative to long rates. Observe spread, tenor and rollover. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is issuance plan and asset growth. Failure occurs when markets close or reprice. The systems lesson is that deposit and wholesale cost can reprice first. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 25: how curve inversion travels through wholesale debt

Start with wholesale debt, whose ALM role is market funding. The disturbance short rates exceed long rates. Measure spread, tenor and rollover, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through issuance plan and asset growth. If markets close or reprice, the original balance-sheet design no longer matches reality. Remember that carry and funding economics can compress. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 26: feedback test for wholesale debt

Treat wholesale debt as part of a coupled asset-liability system, not as an isolated product. Its job is market funding. Under deposit competition shock, competitors reprice aggressively. Track spread, tenor and rollover and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires issuance plan and asset growth; otherwise markets close or reprice. Because beta and migration jump, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 27: ALCO decision around wholesale debt

The state variable wholesale debt provides market funding. After wholesale spread shock, market credit spread widens. Observe spread, tenor and rollover and identify the first limit or economic objective that becomes binding.

Management can act through issuance plan and asset growth. If markets close or reprice, the feedback loop has broken. The central lesson is that funding cost changes without policy-rate change. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 28: wholesale debt under liquidity stress

wholesale debt are modelled as market funding. Apply liquidity stress: outflows and collateral needs rise. Observe spread, tenor and rollover. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is issuance plan and asset growth. Failure occurs when markets close or reprice. The systems lesson is that ALM becomes a same-day constraint. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 29: how credit deterioration travels through wholesale debt

Start with wholesale debt, whose ALM role is market funding. The disturbance borrower risk rises. Measure spread, tenor and rollover, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through issuance plan and asset growth. If markets close or reprice, the original balance-sheet design no longer matches reality. Remember that rate and credit effects interact. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 30: feedback test for wholesale debt

Treat wholesale debt as part of a coupled asset-liability system, not as an isolated product. Its job is market funding. Under model-regime break, historical behaviour ceases to hold. Track spread, tenor and rollover and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires issuance plan and asset growth; otherwise markets close or reprice. Because assumption risk becomes first-order, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 31: ALCO decision around secured funding

The state variable secured funding provides collateralised borrowing. After parallel rate rise, shift the entire curve upward. Observe haircuts, eligible assets and maturity and identify the first limit or economic objective that becomes binding.

Management can act through collateral allocation. If haircuts rise or collateral value falls, the feedback loop has broken. The central lesson is that price, income and behaviour move on different clocks. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 32: secured funding under parallel rate fall

secured funding are modelled as collateralised borrowing. Apply parallel rate fall: shift the curve downward. Observe haircuts, eligible assets and maturity. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is collateral allocation. Failure occurs when haircuts rise or collateral value falls. The systems lesson is that floors and prepayment create asymmetry. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 33: how curve steepening travels through secured funding

Start with secured funding, whose ALM role is collateralised borrowing. The disturbance long rates rise relative to short rates. Measure haircuts, eligible assets and maturity, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through collateral allocation. If haircuts rise or collateral value falls, the original balance-sheet design no longer matches reality. Remember that duration and funding effects diverge. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 34: feedback test for secured funding

Treat secured funding as part of a coupled asset-liability system, not as an isolated product. Its job is collateralised borrowing. Under curve flattening, short rates rise relative to long rates. Track haircuts, eligible assets and maturity and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires collateral allocation; otherwise haircuts rise or collateral value falls. Because deposit and wholesale cost can reprice first, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 35: ALCO decision around secured funding

The state variable secured funding provides collateralised borrowing. After curve inversion, short rates exceed long rates. Observe haircuts, eligible assets and maturity and identify the first limit or economic objective that becomes binding.

Management can act through collateral allocation. If haircuts rise or collateral value falls, the feedback loop has broken. The central lesson is that carry and funding economics can compress. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 36: secured funding under deposit competition shock

secured funding are modelled as collateralised borrowing. Apply deposit competition shock: competitors reprice aggressively. Observe haircuts, eligible assets and maturity. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is collateral allocation. Failure occurs when haircuts rise or collateral value falls. The systems lesson is that beta and migration jump. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 37: how wholesale spread shock travels through secured funding

Start with secured funding, whose ALM role is collateralised borrowing. The disturbance market credit spread widens. Measure haircuts, eligible assets and maturity, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through collateral allocation. If haircuts rise or collateral value falls, the original balance-sheet design no longer matches reality. Remember that funding cost changes without policy-rate change. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 38: feedback test for secured funding

Treat secured funding as part of a coupled asset-liability system, not as an isolated product. Its job is collateralised borrowing. Under liquidity stress, outflows and collateral needs rise. Track haircuts, eligible assets and maturity and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires collateral allocation; otherwise haircuts rise or collateral value falls. Because ALM becomes a same-day constraint, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 39: ALCO decision around secured funding

The state variable secured funding provides collateralised borrowing. After credit deterioration, borrower risk rises. Observe haircuts, eligible assets and maturity and identify the first limit or economic objective that becomes binding.

Management can act through collateral allocation. If haircuts rise or collateral value falls, the feedback loop has broken. The central lesson is that rate and credit effects interact. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 40: secured funding under model-regime break

secured funding are modelled as collateralised borrowing. Apply model-regime break: historical behaviour ceases to hold. Observe haircuts, eligible assets and maturity. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is collateral allocation. Failure occurs when haircuts rise or collateral value falls. The systems lesson is that assumption risk becomes first-order. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 41: how parallel rate rise travels through fixed-rate mortgages

Start with fixed-rate mortgages, whose ALM role is long-duration assets with borrower prepayment option. The disturbance shift the entire curve upward. Measure duration, CPR and coupon, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through hedging and pricing. If prepayment behaves nonlinearly, the original balance-sheet design no longer matches reality. Remember that price, income and behaviour move on different clocks. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 42: feedback test for fixed-rate mortgages

Treat fixed-rate mortgages as part of a coupled asset-liability system, not as an isolated product. Its job is long-duration assets with borrower prepayment option. Under parallel rate fall, shift the curve downward. Track duration, CPR and coupon and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires hedging and pricing; otherwise prepayment behaves nonlinearly. Because floors and prepayment create asymmetry, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 43: ALCO decision around fixed-rate mortgages

The state variable fixed-rate mortgages provides long-duration assets with borrower prepayment option. After curve steepening, long rates rise relative to short rates. Observe duration, CPR and coupon and identify the first limit or economic objective that becomes binding.

Management can act through hedging and pricing. If prepayment behaves nonlinearly, the feedback loop has broken. The central lesson is that duration and funding effects diverge. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 44: fixed-rate mortgages under curve flattening

fixed-rate mortgages are modelled as long-duration assets with borrower prepayment option. Apply curve flattening: short rates rise relative to long rates. Observe duration, CPR and coupon. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is hedging and pricing. Failure occurs when prepayment behaves nonlinearly. The systems lesson is that deposit and wholesale cost can reprice first. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 45: how curve inversion travels through fixed-rate mortgages

Start with fixed-rate mortgages, whose ALM role is long-duration assets with borrower prepayment option. The disturbance short rates exceed long rates. Measure duration, CPR and coupon, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through hedging and pricing. If prepayment behaves nonlinearly, the original balance-sheet design no longer matches reality. Remember that carry and funding economics can compress. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 46: feedback test for fixed-rate mortgages

Treat fixed-rate mortgages as part of a coupled asset-liability system, not as an isolated product. Its job is long-duration assets with borrower prepayment option. Under deposit competition shock, competitors reprice aggressively. Track duration, CPR and coupon and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires hedging and pricing; otherwise prepayment behaves nonlinearly. Because beta and migration jump, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 47: ALCO decision around fixed-rate mortgages

The state variable fixed-rate mortgages provides long-duration assets with borrower prepayment option. After wholesale spread shock, market credit spread widens. Observe duration, CPR and coupon and identify the first limit or economic objective that becomes binding.

Management can act through hedging and pricing. If prepayment behaves nonlinearly, the feedback loop has broken. The central lesson is that funding cost changes without policy-rate change. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 48: fixed-rate mortgages under liquidity stress

fixed-rate mortgages are modelled as long-duration assets with borrower prepayment option. Apply liquidity stress: outflows and collateral needs rise. Observe duration, CPR and coupon. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is hedging and pricing. Failure occurs when prepayment behaves nonlinearly. The systems lesson is that ALM becomes a same-day constraint. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 49: how credit deterioration travels through fixed-rate mortgages

Start with fixed-rate mortgages, whose ALM role is long-duration assets with borrower prepayment option. The disturbance borrower risk rises. Measure duration, CPR and coupon, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through hedging and pricing. If prepayment behaves nonlinearly, the original balance-sheet design no longer matches reality. Remember that rate and credit effects interact. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 50: feedback test for fixed-rate mortgages

Treat fixed-rate mortgages as part of a coupled asset-liability system, not as an isolated product. Its job is long-duration assets with borrower prepayment option. Under model-regime break, historical behaviour ceases to hold. Track duration, CPR and coupon and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires hedging and pricing; otherwise prepayment behaves nonlinearly. Because assumption risk becomes first-order, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 51: ALCO decision around floating-rate loans

The state variable floating-rate loans provides assets that reprice with reference rates. After parallel rate rise, shift the entire curve upward. Observe reset date, margin and borrower affordability and identify the first limit or economic objective that becomes binding.

Management can act through pricing and credit monitoring. If credit losses rise after repricing, the feedback loop has broken. The central lesson is that price, income and behaviour move on different clocks. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 52: floating-rate loans under parallel rate fall

floating-rate loans are modelled as assets that reprice with reference rates. Apply parallel rate fall: shift the curve downward. Observe reset date, margin and borrower affordability. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is pricing and credit monitoring. Failure occurs when credit losses rise after repricing. The systems lesson is that floors and prepayment create asymmetry. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 53: how curve steepening travels through floating-rate loans

Start with floating-rate loans, whose ALM role is assets that reprice with reference rates. The disturbance long rates rise relative to short rates. Measure reset date, margin and borrower affordability, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through pricing and credit monitoring. If credit losses rise after repricing, the original balance-sheet design no longer matches reality. Remember that duration and funding effects diverge. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 54: feedback test for floating-rate loans

Treat floating-rate loans as part of a coupled asset-liability system, not as an isolated product. Its job is assets that reprice with reference rates. Under curve flattening, short rates rise relative to long rates. Track reset date, margin and borrower affordability and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires pricing and credit monitoring; otherwise credit losses rise after repricing. Because deposit and wholesale cost can reprice first, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 55: ALCO decision around floating-rate loans

The state variable floating-rate loans provides assets that reprice with reference rates. After curve inversion, short rates exceed long rates. Observe reset date, margin and borrower affordability and identify the first limit or economic objective that becomes binding.

Management can act through pricing and credit monitoring. If credit losses rise after repricing, the feedback loop has broken. The central lesson is that carry and funding economics can compress. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 56: floating-rate loans under deposit competition shock

floating-rate loans are modelled as assets that reprice with reference rates. Apply deposit competition shock: competitors reprice aggressively. Observe reset date, margin and borrower affordability. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is pricing and credit monitoring. Failure occurs when credit losses rise after repricing. The systems lesson is that beta and migration jump. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 57: how wholesale spread shock travels through floating-rate loans

Start with floating-rate loans, whose ALM role is assets that reprice with reference rates. The disturbance market credit spread widens. Measure reset date, margin and borrower affordability, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through pricing and credit monitoring. If credit losses rise after repricing, the original balance-sheet design no longer matches reality. Remember that funding cost changes without policy-rate change. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 58: feedback test for floating-rate loans

Treat floating-rate loans as part of a coupled asset-liability system, not as an isolated product. Its job is assets that reprice with reference rates. Under liquidity stress, outflows and collateral needs rise. Track reset date, margin and borrower affordability and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires pricing and credit monitoring; otherwise credit losses rise after repricing. Because ALM becomes a same-day constraint, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 59: ALCO decision around floating-rate loans

The state variable floating-rate loans provides assets that reprice with reference rates. After credit deterioration, borrower risk rises. Observe reset date, margin and borrower affordability and identify the first limit or economic objective that becomes binding.

Management can act through pricing and credit monitoring. If credit losses rise after repricing, the feedback loop has broken. The central lesson is that rate and credit effects interact. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 60: floating-rate loans under model-regime break

floating-rate loans are modelled as assets that reprice with reference rates. Apply model-regime break: historical behaviour ceases to hold. Observe reset date, margin and borrower affordability. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is pricing and credit monitoring. Failure occurs when credit losses rise after repricing. The systems lesson is that assumption risk becomes first-order. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 61: how parallel rate rise travels through credit-card balances

Start with credit-card balances, whose ALM role is shorter-duration revolving assets. The disturbance shift the entire curve upward. Measure yield, payment rate and utilisation, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through pricing and limits. If utilisation rises in stress, the original balance-sheet design no longer matches reality. Remember that price, income and behaviour move on different clocks. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 62: feedback test for credit-card balances

Treat credit-card balances as part of a coupled asset-liability system, not as an isolated product. Its job is shorter-duration revolving assets. Under parallel rate fall, shift the curve downward. Track yield, payment rate and utilisation and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires pricing and limits; otherwise utilisation rises in stress. Because floors and prepayment create asymmetry, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 63: ALCO decision around credit-card balances

The state variable credit-card balances provides shorter-duration revolving assets. After curve steepening, long rates rise relative to short rates. Observe yield, payment rate and utilisation and identify the first limit or economic objective that becomes binding.

Management can act through pricing and limits. If utilisation rises in stress, the feedback loop has broken. The central lesson is that duration and funding effects diverge. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 64: credit-card balances under curve flattening

credit-card balances are modelled as shorter-duration revolving assets. Apply curve flattening: short rates rise relative to long rates. Observe yield, payment rate and utilisation. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is pricing and limits. Failure occurs when utilisation rises in stress. The systems lesson is that deposit and wholesale cost can reprice first. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 65: how curve inversion travels through credit-card balances

Start with credit-card balances, whose ALM role is shorter-duration revolving assets. The disturbance short rates exceed long rates. Measure yield, payment rate and utilisation, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through pricing and limits. If utilisation rises in stress, the original balance-sheet design no longer matches reality. Remember that carry and funding economics can compress. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 66: feedback test for credit-card balances

Treat credit-card balances as part of a coupled asset-liability system, not as an isolated product. Its job is shorter-duration revolving assets. Under deposit competition shock, competitors reprice aggressively. Track yield, payment rate and utilisation and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires pricing and limits; otherwise utilisation rises in stress. Because beta and migration jump, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 67: ALCO decision around credit-card balances

The state variable credit-card balances provides shorter-duration revolving assets. After wholesale spread shock, market credit spread widens. Observe yield, payment rate and utilisation and identify the first limit or economic objective that becomes binding.

Management can act through pricing and limits. If utilisation rises in stress, the feedback loop has broken. The central lesson is that funding cost changes without policy-rate change. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 68: credit-card balances under liquidity stress

credit-card balances are modelled as shorter-duration revolving assets. Apply liquidity stress: outflows and collateral needs rise. Observe yield, payment rate and utilisation. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is pricing and limits. Failure occurs when utilisation rises in stress. The systems lesson is that ALM becomes a same-day constraint. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 69: how credit deterioration travels through credit-card balances

Start with credit-card balances, whose ALM role is shorter-duration revolving assets. The disturbance borrower risk rises. Measure yield, payment rate and utilisation, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through pricing and limits. If utilisation rises in stress, the original balance-sheet design no longer matches reality. Remember that rate and credit effects interact. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 70: feedback test for credit-card balances

Treat credit-card balances as part of a coupled asset-liability system, not as an isolated product. Its job is shorter-duration revolving assets. Under model-regime break, historical behaviour ceases to hold. Track yield, payment rate and utilisation and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires pricing and limits; otherwise utilisation rises in stress. Because assumption risk becomes first-order, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 71: ALCO decision around securities book

The state variable securities book provides marketable fixed-income assets. After parallel rate rise, shift the entire curve upward. Observe duration, spread and liquidity and identify the first limit or economic objective that becomes binding.

Management can act through hedging or sale. If value loss collides with funding need, the feedback loop has broken. The central lesson is that price, income and behaviour move on different clocks. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 72: securities book under parallel rate fall

securities book are modelled as marketable fixed-income assets. Apply parallel rate fall: shift the curve downward. Observe duration, spread and liquidity. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is hedging or sale. Failure occurs when value loss collides with funding need. The systems lesson is that floors and prepayment create asymmetry. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 73: how curve steepening travels through securities book

Start with securities book, whose ALM role is marketable fixed-income assets. The disturbance long rates rise relative to short rates. Measure duration, spread and liquidity, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through hedging or sale. If value loss collides with funding need, the original balance-sheet design no longer matches reality. Remember that duration and funding effects diverge. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 74: feedback test for securities book

Treat securities book as part of a coupled asset-liability system, not as an isolated product. Its job is marketable fixed-income assets. Under curve flattening, short rates rise relative to long rates. Track duration, spread and liquidity and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires hedging or sale; otherwise value loss collides with funding need. Because deposit and wholesale cost can reprice first, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 75: ALCO decision around securities book

The state variable securities book provides marketable fixed-income assets. After curve inversion, short rates exceed long rates. Observe duration, spread and liquidity and identify the first limit or economic objective that becomes binding.

Management can act through hedging or sale. If value loss collides with funding need, the feedback loop has broken. The central lesson is that carry and funding economics can compress. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 76: securities book under deposit competition shock

securities book are modelled as marketable fixed-income assets. Apply deposit competition shock: competitors reprice aggressively. Observe duration, spread and liquidity. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is hedging or sale. Failure occurs when value loss collides with funding need. The systems lesson is that beta and migration jump. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 77: how wholesale spread shock travels through securities book

Start with securities book, whose ALM role is marketable fixed-income assets. The disturbance market credit spread widens. Measure duration, spread and liquidity, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through hedging or sale. If value loss collides with funding need, the original balance-sheet design no longer matches reality. Remember that funding cost changes without policy-rate change. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 78: feedback test for securities book

Treat securities book as part of a coupled asset-liability system, not as an isolated product. Its job is marketable fixed-income assets. Under liquidity stress, outflows and collateral needs rise. Track duration, spread and liquidity and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires hedging or sale; otherwise value loss collides with funding need. Because ALM becomes a same-day constraint, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 79: ALCO decision around securities book

The state variable securities book provides marketable fixed-income assets. After credit deterioration, borrower risk rises. Observe duration, spread and liquidity and identify the first limit or economic objective that becomes binding.

Management can act through hedging or sale. If value loss collides with funding need, the feedback loop has broken. The central lesson is that rate and credit effects interact. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 80: securities book under model-regime break

securities book are modelled as marketable fixed-income assets. Apply model-regime break: historical behaviour ceases to hold. Observe duration, spread and liquidity. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is hedging or sale. Failure occurs when value loss collides with funding need. The systems lesson is that assumption risk becomes first-order. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 81: how parallel rate rise travels through derivative hedge book

Start with derivative hedge book, whose ALM role is risk-transfer contracts. The disturbance shift the entire curve upward. Measure delta, duration, basis and margin, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through hedge resizing. If margin and basis offset benefit, the original balance-sheet design no longer matches reality. Remember that price, income and behaviour move on different clocks. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 82: feedback test for derivative hedge book

Treat derivative hedge book as part of a coupled asset-liability system, not as an isolated product. Its job is risk-transfer contracts. Under parallel rate fall, shift the curve downward. Track delta, duration, basis and margin and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires hedge resizing; otherwise margin and basis offset benefit. Because floors and prepayment create asymmetry, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 83: ALCO decision around derivative hedge book

The state variable derivative hedge book provides risk-transfer contracts. After curve steepening, long rates rise relative to short rates. Observe delta, duration, basis and margin and identify the first limit or economic objective that becomes binding.

Management can act through hedge resizing. If margin and basis offset benefit, the feedback loop has broken. The central lesson is that duration and funding effects diverge. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 84: derivative hedge book under curve flattening

derivative hedge book are modelled as risk-transfer contracts. Apply curve flattening: short rates rise relative to long rates. Observe delta, duration, basis and margin. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is hedge resizing. Failure occurs when margin and basis offset benefit. The systems lesson is that deposit and wholesale cost can reprice first. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 85: how curve inversion travels through derivative hedge book

Start with derivative hedge book, whose ALM role is risk-transfer contracts. The disturbance short rates exceed long rates. Measure delta, duration, basis and margin, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through hedge resizing. If margin and basis offset benefit, the original balance-sheet design no longer matches reality. Remember that carry and funding economics can compress. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 86: feedback test for derivative hedge book

Treat derivative hedge book as part of a coupled asset-liability system, not as an isolated product. Its job is risk-transfer contracts. Under deposit competition shock, competitors reprice aggressively. Track delta, duration, basis and margin and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires hedge resizing; otherwise margin and basis offset benefit. Because beta and migration jump, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 87: ALCO decision around derivative hedge book

The state variable derivative hedge book provides risk-transfer contracts. After wholesale spread shock, market credit spread widens. Observe delta, duration, basis and margin and identify the first limit or economic objective that becomes binding.

Management can act through hedge resizing. If margin and basis offset benefit, the feedback loop has broken. The central lesson is that funding cost changes without policy-rate change. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 88: derivative hedge book under liquidity stress

derivative hedge book are modelled as risk-transfer contracts. Apply liquidity stress: outflows and collateral needs rise. Observe delta, duration, basis and margin. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is hedge resizing. Failure occurs when margin and basis offset benefit. The systems lesson is that ALM becomes a same-day constraint. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 89: how credit deterioration travels through derivative hedge book

Start with derivative hedge book, whose ALM role is risk-transfer contracts. The disturbance borrower risk rises. Measure delta, duration, basis and margin, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through hedge resizing. If margin and basis offset benefit, the original balance-sheet design no longer matches reality. Remember that rate and credit effects interact. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 90: feedback test for derivative hedge book

Treat derivative hedge book as part of a coupled asset-liability system, not as an isolated product. Its job is risk-transfer contracts. Under model-regime break, historical behaviour ceases to hold. Track delta, duration, basis and margin and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires hedge resizing; otherwise margin and basis offset benefit. Because assumption risk becomes first-order, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 91: ALCO decision around loan pipeline

The state variable loan pipeline provides committed future assets. After parallel rate rise, shift the entire curve upward. Observe lock rate, expected funding and fallout and identify the first limit or economic objective that becomes binding.

Management can act through pipeline hedge. If customer fallout differs from assumptions, the feedback loop has broken. The central lesson is that price, income and behaviour move on different clocks. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 92: loan pipeline under parallel rate fall

loan pipeline are modelled as committed future assets. Apply parallel rate fall: shift the curve downward. Observe lock rate, expected funding and fallout. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is pipeline hedge. Failure occurs when customer fallout differs from assumptions. The systems lesson is that floors and prepayment create asymmetry. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 93: how curve steepening travels through loan pipeline

Start with loan pipeline, whose ALM role is committed future assets. The disturbance long rates rise relative to short rates. Measure lock rate, expected funding and fallout, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through pipeline hedge. If customer fallout differs from assumptions, the original balance-sheet design no longer matches reality. Remember that duration and funding effects diverge. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 94: feedback test for loan pipeline

Treat loan pipeline as part of a coupled asset-liability system, not as an isolated product. Its job is committed future assets. Under curve flattening, short rates rise relative to long rates. Track lock rate, expected funding and fallout and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires pipeline hedge; otherwise customer fallout differs from assumptions. Because deposit and wholesale cost can reprice first, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 95: ALCO decision around loan pipeline

The state variable loan pipeline provides committed future assets. After curve inversion, short rates exceed long rates. Observe lock rate, expected funding and fallout and identify the first limit or economic objective that becomes binding.

Management can act through pipeline hedge. If customer fallout differs from assumptions, the feedback loop has broken. The central lesson is that carry and funding economics can compress. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 96: loan pipeline under deposit competition shock

loan pipeline are modelled as committed future assets. Apply deposit competition shock: competitors reprice aggressively. Observe lock rate, expected funding and fallout. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is pipeline hedge. Failure occurs when customer fallout differs from assumptions. The systems lesson is that beta and migration jump. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 97: how wholesale spread shock travels through loan pipeline

Start with loan pipeline, whose ALM role is committed future assets. The disturbance market credit spread widens. Measure lock rate, expected funding and fallout, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through pipeline hedge. If customer fallout differs from assumptions, the original balance-sheet design no longer matches reality. Remember that funding cost changes without policy-rate change. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 98: feedback test for loan pipeline

Treat loan pipeline as part of a coupled asset-liability system, not as an isolated product. Its job is committed future assets. Under liquidity stress, outflows and collateral needs rise. Track lock rate, expected funding and fallout and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires pipeline hedge; otherwise customer fallout differs from assumptions. Because ALM becomes a same-day constraint, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 99: ALCO decision around loan pipeline

The state variable loan pipeline provides committed future assets. After credit deterioration, borrower risk rises. Observe lock rate, expected funding and fallout and identify the first limit or economic objective that becomes binding.

Management can act through pipeline hedge. If customer fallout differs from assumptions, the feedback loop has broken. The central lesson is that rate and credit effects interact. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 100: loan pipeline under model-regime break

loan pipeline are modelled as committed future assets. Apply model-regime break: historical behaviour ceases to hold. Observe lock rate, expected funding and fallout. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is pipeline hedge. Failure occurs when customer fallout differs from assumptions. The systems lesson is that assumption risk becomes first-order. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 101: how parallel rate rise travels through equity and retained earnings

Start with equity and retained earnings, whose ALM role is long-dated loss-absorbing funding. The disturbance shift the entire curve upward. Measure capital cost and distribution, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through capital planning. If profitability cannot replenish fast enough, the original balance-sheet design no longer matches reality. Remember that price, income and behaviour move on different clocks. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 102: feedback test for equity and retained earnings

Treat equity and retained earnings as part of a coupled asset-liability system, not as an isolated product. Its job is long-dated loss-absorbing funding. Under parallel rate fall, shift the curve downward. Track capital cost and distribution and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires capital planning; otherwise profitability cannot replenish fast enough. Because floors and prepayment create asymmetry, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 103: ALCO decision around equity and retained earnings

The state variable equity and retained earnings provides long-dated loss-absorbing funding. After curve steepening, long rates rise relative to short rates. Observe capital cost and distribution and identify the first limit or economic objective that becomes binding.

Management can act through capital planning. If profitability cannot replenish fast enough, the feedback loop has broken. The central lesson is that duration and funding effects diverge. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 104: equity and retained earnings under curve flattening

equity and retained earnings are modelled as long-dated loss-absorbing funding. Apply curve flattening: short rates rise relative to long rates. Observe capital cost and distribution. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is capital planning. Failure occurs when profitability cannot replenish fast enough. The systems lesson is that deposit and wholesale cost can reprice first. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 105: how curve inversion travels through equity and retained earnings

Start with equity and retained earnings, whose ALM role is long-dated loss-absorbing funding. The disturbance short rates exceed long rates. Measure capital cost and distribution, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through capital planning. If profitability cannot replenish fast enough, the original balance-sheet design no longer matches reality. Remember that carry and funding economics can compress. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 106: feedback test for equity and retained earnings

Treat equity and retained earnings as part of a coupled asset-liability system, not as an isolated product. Its job is long-dated loss-absorbing funding. Under deposit competition shock, competitors reprice aggressively. Track capital cost and distribution and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires capital planning; otherwise profitability cannot replenish fast enough. Because beta and migration jump, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 107: ALCO decision around equity and retained earnings

The state variable equity and retained earnings provides long-dated loss-absorbing funding. After wholesale spread shock, market credit spread widens. Observe capital cost and distribution and identify the first limit or economic objective that becomes binding.

Management can act through capital planning. If profitability cannot replenish fast enough, the feedback loop has broken. The central lesson is that funding cost changes without policy-rate change. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 108: equity and retained earnings under liquidity stress

equity and retained earnings are modelled as long-dated loss-absorbing funding. Apply liquidity stress: outflows and collateral needs rise. Observe capital cost and distribution. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is capital planning. Failure occurs when profitability cannot replenish fast enough. The systems lesson is that ALM becomes a same-day constraint. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 109: how credit deterioration travels through equity and retained earnings

Start with equity and retained earnings, whose ALM role is long-dated loss-absorbing funding. The disturbance borrower risk rises. Measure capital cost and distribution, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through capital planning. If profitability cannot replenish fast enough, the original balance-sheet design no longer matches reality. Remember that rate and credit effects interact. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 110: feedback test for equity and retained earnings

Treat equity and retained earnings as part of a coupled asset-liability system, not as an isolated product. Its job is long-dated loss-absorbing funding. Under model-regime break, historical behaviour ceases to hold. Track capital cost and distribution and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires capital planning; otherwise profitability cannot replenish fast enough. Because assumption risk becomes first-order, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 111: ALCO decision around central-bank reserves

The state variable central-bank reserves provides settlement liquidity. After parallel rate rise, shift the entire curve upward. Observe level, intraday low and opportunity cost and identify the first limit or economic objective that becomes binding.

Management can act through liquidity allocation. If payment needs spike, the feedback loop has broken. The central lesson is that price, income and behaviour move on different clocks. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 112: central-bank reserves under parallel rate fall

central-bank reserves are modelled as settlement liquidity. Apply parallel rate fall: shift the curve downward. Observe level, intraday low and opportunity cost. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is liquidity allocation. Failure occurs when payment needs spike. The systems lesson is that floors and prepayment create asymmetry. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 113: how curve steepening travels through central-bank reserves

Start with central-bank reserves, whose ALM role is settlement liquidity. The disturbance long rates rise relative to short rates. Measure level, intraday low and opportunity cost, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through liquidity allocation. If payment needs spike, the original balance-sheet design no longer matches reality. Remember that duration and funding effects diverge. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 114: feedback test for central-bank reserves

Treat central-bank reserves as part of a coupled asset-liability system, not as an isolated product. Its job is settlement liquidity. Under curve flattening, short rates rise relative to long rates. Track level, intraday low and opportunity cost and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires liquidity allocation; otherwise payment needs spike. Because deposit and wholesale cost can reprice first, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 115: ALCO decision around central-bank reserves

The state variable central-bank reserves provides settlement liquidity. After curve inversion, short rates exceed long rates. Observe level, intraday low and opportunity cost and identify the first limit or economic objective that becomes binding.

Management can act through liquidity allocation. If payment needs spike, the feedback loop has broken. The central lesson is that carry and funding economics can compress. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 116: central-bank reserves under deposit competition shock

central-bank reserves are modelled as settlement liquidity. Apply deposit competition shock: competitors reprice aggressively. Observe level, intraday low and opportunity cost. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is liquidity allocation. Failure occurs when payment needs spike. The systems lesson is that beta and migration jump. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 117: how wholesale spread shock travels through central-bank reserves

Start with central-bank reserves, whose ALM role is settlement liquidity. The disturbance market credit spread widens. Measure level, intraday low and opportunity cost, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through liquidity allocation. If payment needs spike, the original balance-sheet design no longer matches reality. Remember that funding cost changes without policy-rate change. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 118: feedback test for central-bank reserves

Treat central-bank reserves as part of a coupled asset-liability system, not as an isolated product. Its job is settlement liquidity. Under liquidity stress, outflows and collateral needs rise. Track level, intraday low and opportunity cost and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires liquidity allocation; otherwise payment needs spike. Because ALM becomes a same-day constraint, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 119: ALCO decision around central-bank reserves

The state variable central-bank reserves provides settlement liquidity. After credit deterioration, borrower risk rises. Observe level, intraday low and opportunity cost and identify the first limit or economic objective that becomes binding.

Management can act through liquidity allocation. If payment needs spike, the feedback loop has broken. The central lesson is that rate and credit effects interact. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 120: central-bank reserves under model-regime break

central-bank reserves are modelled as settlement liquidity. Apply model-regime break: historical behaviour ceases to hold. Observe level, intraday low and opportunity cost. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is liquidity allocation. Failure occurs when payment needs spike. The systems lesson is that assumption risk becomes first-order. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 121: how parallel rate rise travels through HQLA buffer

Start with HQLA buffer, whose ALM role is stress liquidity resource. The disturbance shift the entire curve upward. Measure market value, haircut and encumbrance, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through buffer sizing. If assets are unavailable or lose depth, the original balance-sheet design no longer matches reality. Remember that price, income and behaviour move on different clocks. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 122: feedback test for HQLA buffer

Treat HQLA buffer as part of a coupled asset-liability system, not as an isolated product. Its job is stress liquidity resource. Under parallel rate fall, shift the curve downward. Track market value, haircut and encumbrance and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires buffer sizing; otherwise assets are unavailable or lose depth. Because floors and prepayment create asymmetry, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 123: ALCO decision around HQLA buffer

The state variable HQLA buffer provides stress liquidity resource. After curve steepening, long rates rise relative to short rates. Observe market value, haircut and encumbrance and identify the first limit or economic objective that becomes binding.

Management can act through buffer sizing. If assets are unavailable or lose depth, the feedback loop has broken. The central lesson is that duration and funding effects diverge. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 124: HQLA buffer under curve flattening

HQLA buffer are modelled as stress liquidity resource. Apply curve flattening: short rates rise relative to long rates. Observe market value, haircut and encumbrance. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is buffer sizing. Failure occurs when assets are unavailable or lose depth. The systems lesson is that deposit and wholesale cost can reprice first. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 125: how curve inversion travels through HQLA buffer

Start with HQLA buffer, whose ALM role is stress liquidity resource. The disturbance short rates exceed long rates. Measure market value, haircut and encumbrance, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through buffer sizing. If assets are unavailable or lose depth, the original balance-sheet design no longer matches reality. Remember that carry and funding economics can compress. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 126: feedback test for HQLA buffer

Treat HQLA buffer as part of a coupled asset-liability system, not as an isolated product. Its job is stress liquidity resource. Under deposit competition shock, competitors reprice aggressively. Track market value, haircut and encumbrance and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires buffer sizing; otherwise assets are unavailable or lose depth. Because beta and migration jump, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 127: ALCO decision around HQLA buffer

The state variable HQLA buffer provides stress liquidity resource. After wholesale spread shock, market credit spread widens. Observe market value, haircut and encumbrance and identify the first limit or economic objective that becomes binding.

Management can act through buffer sizing. If assets are unavailable or lose depth, the feedback loop has broken. The central lesson is that funding cost changes without policy-rate change. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 128: HQLA buffer under liquidity stress

HQLA buffer are modelled as stress liquidity resource. Apply liquidity stress: outflows and collateral needs rise. Observe market value, haircut and encumbrance. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is buffer sizing. Failure occurs when assets are unavailable or lose depth. The systems lesson is that ALM becomes a same-day constraint. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 129: how credit deterioration travels through HQLA buffer

Start with HQLA buffer, whose ALM role is stress liquidity resource. The disturbance borrower risk rises. Measure market value, haircut and encumbrance, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through buffer sizing. If assets are unavailable or lose depth, the original balance-sheet design no longer matches reality. Remember that rate and credit effects interact. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 130: feedback test for HQLA buffer

Treat HQLA buffer as part of a coupled asset-liability system, not as an isolated product. Its job is stress liquidity resource. Under model-regime break, historical behaviour ceases to hold. Track market value, haircut and encumbrance and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires buffer sizing; otherwise assets are unavailable or lose depth. Because assumption risk becomes first-order, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 131: ALCO decision around FTP curve

The state variable FTP curve provides internal transfer-price system. After parallel rate rise, shift the entire curve upward. Observe tenor spread and liquidity premium and identify the first limit or economic objective that becomes binding.

Management can act through business-line pricing. If internal prices lag market reality, the feedback loop has broken. The central lesson is that price, income and behaviour move on different clocks. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 132: FTP curve under parallel rate fall

FTP curve are modelled as internal transfer-price system. Apply parallel rate fall: shift the curve downward. Observe tenor spread and liquidity premium. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is business-line pricing. Failure occurs when internal prices lag market reality. The systems lesson is that floors and prepayment create asymmetry. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 133: how curve steepening travels through FTP curve

Start with FTP curve, whose ALM role is internal transfer-price system. The disturbance long rates rise relative to short rates. Measure tenor spread and liquidity premium, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through business-line pricing. If internal prices lag market reality, the original balance-sheet design no longer matches reality. Remember that duration and funding effects diverge. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 134: feedback test for FTP curve

Treat FTP curve as part of a coupled asset-liability system, not as an isolated product. Its job is internal transfer-price system. Under curve flattening, short rates rise relative to long rates. Track tenor spread and liquidity premium and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires business-line pricing; otherwise internal prices lag market reality. Because deposit and wholesale cost can reprice first, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 135: ALCO decision around FTP curve

The state variable FTP curve provides internal transfer-price system. After curve inversion, short rates exceed long rates. Observe tenor spread and liquidity premium and identify the first limit or economic objective that becomes binding.

Management can act through business-line pricing. If internal prices lag market reality, the feedback loop has broken. The central lesson is that carry and funding economics can compress. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 136: FTP curve under deposit competition shock

FTP curve are modelled as internal transfer-price system. Apply deposit competition shock: competitors reprice aggressively. Observe tenor spread and liquidity premium. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is business-line pricing. Failure occurs when internal prices lag market reality. The systems lesson is that beta and migration jump. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 137: how wholesale spread shock travels through FTP curve

Start with FTP curve, whose ALM role is internal transfer-price system. The disturbance market credit spread widens. Measure tenor spread and liquidity premium, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through business-line pricing. If internal prices lag market reality, the original balance-sheet design no longer matches reality. Remember that funding cost changes without policy-rate change. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 138: feedback test for FTP curve

Treat FTP curve as part of a coupled asset-liability system, not as an isolated product. Its job is internal transfer-price system. Under liquidity stress, outflows and collateral needs rise. Track tenor spread and liquidity premium and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires business-line pricing; otherwise internal prices lag market reality. Because ALM becomes a same-day constraint, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 139: ALCO decision around FTP curve

The state variable FTP curve provides internal transfer-price system. After credit deterioration, borrower risk rises. Observe tenor spread and liquidity premium and identify the first limit or economic objective that becomes binding.

Management can act through business-line pricing. If internal prices lag market reality, the feedback loop has broken. The central lesson is that rate and credit effects interact. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 140: FTP curve under model-regime break

FTP curve are modelled as internal transfer-price system. Apply model-regime break: historical behaviour ceases to hold. Observe tenor spread and liquidity premium. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is business-line pricing. Failure occurs when internal prices lag market reality. The systems lesson is that assumption risk becomes first-order. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 141: how parallel rate rise travels through deposit franchise

Start with deposit franchise, whose ALM role is customer relationship funding base. The disturbance shift the entire curve upward. Measure retention, service use and rate sensitivity, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through product design. If competition changes behaviour, the original balance-sheet design no longer matches reality. Remember that price, income and behaviour move on different clocks. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 142: feedback test for deposit franchise

Treat deposit franchise as part of a coupled asset-liability system, not as an isolated product. Its job is customer relationship funding base. Under parallel rate fall, shift the curve downward. Track retention, service use and rate sensitivity and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires product design; otherwise competition changes behaviour. Because floors and prepayment create asymmetry, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 143: ALCO decision around deposit franchise

The state variable deposit franchise provides customer relationship funding base. After curve steepening, long rates rise relative to short rates. Observe retention, service use and rate sensitivity and identify the first limit or economic objective that becomes binding.

Management can act through product design. If competition changes behaviour, the feedback loop has broken. The central lesson is that duration and funding effects diverge. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 144: deposit franchise under curve flattening

deposit franchise are modelled as customer relationship funding base. Apply curve flattening: short rates rise relative to long rates. Observe retention, service use and rate sensitivity. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is product design. Failure occurs when competition changes behaviour. The systems lesson is that deposit and wholesale cost can reprice first. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 145: how curve inversion travels through deposit franchise

Start with deposit franchise, whose ALM role is customer relationship funding base. The disturbance short rates exceed long rates. Measure retention, service use and rate sensitivity, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through product design. If competition changes behaviour, the original balance-sheet design no longer matches reality. Remember that carry and funding economics can compress. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 146: feedback test for deposit franchise

Treat deposit franchise as part of a coupled asset-liability system, not as an isolated product. Its job is customer relationship funding base. Under deposit competition shock, competitors reprice aggressively. Track retention, service use and rate sensitivity and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires product design; otherwise competition changes behaviour. Because beta and migration jump, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 147: ALCO decision around deposit franchise

The state variable deposit franchise provides customer relationship funding base. After wholesale spread shock, market credit spread widens. Observe retention, service use and rate sensitivity and identify the first limit or economic objective that becomes binding.

Management can act through product design. If competition changes behaviour, the feedback loop has broken. The central lesson is that funding cost changes without policy-rate change. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 148: deposit franchise under liquidity stress

deposit franchise are modelled as customer relationship funding base. Apply liquidity stress: outflows and collateral needs rise. Observe retention, service use and rate sensitivity. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is product design. Failure occurs when competition changes behaviour. The systems lesson is that ALM becomes a same-day constraint. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 149: how credit deterioration travels through deposit franchise

Start with deposit franchise, whose ALM role is customer relationship funding base. The disturbance borrower risk rises. Measure retention, service use and rate sensitivity, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through product design. If competition changes behaviour, the original balance-sheet design no longer matches reality. Remember that rate and credit effects interact. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 150: feedback test for deposit franchise

Treat deposit franchise as part of a coupled asset-liability system, not as an isolated product. Its job is customer relationship funding base. Under model-regime break, historical behaviour ceases to hold. Track retention, service use and rate sensitivity and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires product design; otherwise competition changes behaviour. Because assumption risk becomes first-order, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 151: ALCO decision around IRRBB model

The state variable IRRBB model provides measurement system for banking-book rate risk. After parallel rate rise, shift the entire curve upward. Observe EVE, NII, assumptions and shocks and identify the first limit or economic objective that becomes binding.

Management can act through limits and hedges. If model outputs drift from realised behaviour, the feedback loop has broken. The central lesson is that price, income and behaviour move on different clocks. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 152: IRRBB model under parallel rate fall

IRRBB model are modelled as measurement system for banking-book rate risk. Apply parallel rate fall: shift the curve downward. Observe EVE, NII, assumptions and shocks. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is limits and hedges. Failure occurs when model outputs drift from realised behaviour. The systems lesson is that floors and prepayment create asymmetry. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 153: how curve steepening travels through IRRBB model

Start with IRRBB model, whose ALM role is measurement system for banking-book rate risk. The disturbance long rates rise relative to short rates. Measure EVE, NII, assumptions and shocks, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through limits and hedges. If model outputs drift from realised behaviour, the original balance-sheet design no longer matches reality. Remember that duration and funding effects diverge. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 154: feedback test for IRRBB model

Treat IRRBB model as part of a coupled asset-liability system, not as an isolated product. Its job is measurement system for banking-book rate risk. Under curve flattening, short rates rise relative to long rates. Track EVE, NII, assumptions and shocks and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires limits and hedges; otherwise model outputs drift from realised behaviour. Because deposit and wholesale cost can reprice first, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 155: ALCO decision around IRRBB model

The state variable IRRBB model provides measurement system for banking-book rate risk. After curve inversion, short rates exceed long rates. Observe EVE, NII, assumptions and shocks and identify the first limit or economic objective that becomes binding.

Management can act through limits and hedges. If model outputs drift from realised behaviour, the feedback loop has broken. The central lesson is that carry and funding economics can compress. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 156: IRRBB model under deposit competition shock

IRRBB model are modelled as measurement system for banking-book rate risk. Apply deposit competition shock: competitors reprice aggressively. Observe EVE, NII, assumptions and shocks. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is limits and hedges. Failure occurs when model outputs drift from realised behaviour. The systems lesson is that beta and migration jump. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 157: how wholesale spread shock travels through IRRBB model

Start with IRRBB model, whose ALM role is measurement system for banking-book rate risk. The disturbance market credit spread widens. Measure EVE, NII, assumptions and shocks, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through limits and hedges. If model outputs drift from realised behaviour, the original balance-sheet design no longer matches reality. Remember that funding cost changes without policy-rate change. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 158: feedback test for IRRBB model

Treat IRRBB model as part of a coupled asset-liability system, not as an isolated product. Its job is measurement system for banking-book rate risk. Under liquidity stress, outflows and collateral needs rise. Track EVE, NII, assumptions and shocks and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires limits and hedges; otherwise model outputs drift from realised behaviour. Because ALM becomes a same-day constraint, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 159: ALCO decision around IRRBB model

The state variable IRRBB model provides measurement system for banking-book rate risk. After credit deterioration, borrower risk rises. Observe EVE, NII, assumptions and shocks and identify the first limit or economic objective that becomes binding.

Management can act through limits and hedges. If model outputs drift from realised behaviour, the feedback loop has broken. The central lesson is that rate and credit effects interact. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 160: IRRBB model under model-regime break

IRRBB model are modelled as measurement system for banking-book rate risk. Apply model-regime break: historical behaviour ceases to hold. Observe EVE, NII, assumptions and shocks. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is limits and hedges. Failure occurs when model outputs drift from realised behaviour. The systems lesson is that assumption risk becomes first-order. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 161: how parallel rate rise travels through ALCO governance

Start with ALCO governance, whose ALM role is decision-control layer. The disturbance shift the entire curve upward. Measure limit usage, data timeliness and action logs, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through pricing, hedge and funding decisions. If authority or execution is slow, the original balance-sheet design no longer matches reality. Remember that price, income and behaviour move on different clocks. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 162: feedback test for ALCO governance

Treat ALCO governance as part of a coupled asset-liability system, not as an isolated product. Its job is decision-control layer. Under parallel rate fall, shift the curve downward. Track limit usage, data timeliness and action logs and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires pricing, hedge and funding decisions; otherwise authority or execution is slow. Because floors and prepayment create asymmetry, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 163: ALCO decision around ALCO governance

The state variable ALCO governance provides decision-control layer. After curve steepening, long rates rise relative to short rates. Observe limit usage, data timeliness and action logs and identify the first limit or economic objective that becomes binding.

Management can act through pricing, hedge and funding decisions. If authority or execution is slow, the feedback loop has broken. The central lesson is that duration and funding effects diverge. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 164: ALCO governance under curve flattening

ALCO governance are modelled as decision-control layer. Apply curve flattening: short rates rise relative to long rates. Observe limit usage, data timeliness and action logs. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is pricing, hedge and funding decisions. Failure occurs when authority or execution is slow. The systems lesson is that deposit and wholesale cost can reprice first. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 165: how curve inversion travels through ALCO governance

Start with ALCO governance, whose ALM role is decision-control layer. The disturbance short rates exceed long rates. Measure limit usage, data timeliness and action logs, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through pricing, hedge and funding decisions. If authority or execution is slow, the original balance-sheet design no longer matches reality. Remember that carry and funding economics can compress. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 166: feedback test for ALCO governance

Treat ALCO governance as part of a coupled asset-liability system, not as an isolated product. Its job is decision-control layer. Under deposit competition shock, competitors reprice aggressively. Track limit usage, data timeliness and action logs and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires pricing, hedge and funding decisions; otherwise authority or execution is slow. Because beta and migration jump, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 167: ALCO decision around ALCO governance

The state variable ALCO governance provides decision-control layer. After wholesale spread shock, market credit spread widens. Observe limit usage, data timeliness and action logs and identify the first limit or economic objective that becomes binding.

Management can act through pricing, hedge and funding decisions. If authority or execution is slow, the feedback loop has broken. The central lesson is that funding cost changes without policy-rate change. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 168: ALCO governance under liquidity stress

ALCO governance are modelled as decision-control layer. Apply liquidity stress: outflows and collateral needs rise. Observe limit usage, data timeliness and action logs. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is pricing, hedge and funding decisions. Failure occurs when authority or execution is slow. The systems lesson is that ALM becomes a same-day constraint. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 169: how credit deterioration travels through ALCO governance

Start with ALCO governance, whose ALM role is decision-control layer. The disturbance borrower risk rises. Measure limit usage, data timeliness and action logs, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through pricing, hedge and funding decisions. If authority or execution is slow, the original balance-sheet design no longer matches reality. Remember that rate and credit effects interact. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 170: feedback test for ALCO governance

Treat ALCO governance as part of a coupled asset-liability system, not as an isolated product. Its job is decision-control layer. Under model-regime break, historical behaviour ceases to hold. Track limit usage, data timeliness and action logs and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires pricing, hedge and funding decisions; otherwise authority or execution is slow. Because assumption risk becomes first-order, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 171: ALCO decision around currency funding

The state variable currency funding provides funding by currency. After parallel rate rise, shift the entire curve upward. Observe FX swaps, maturity and local liquidity and identify the first limit or economic objective that becomes binding.

Management can act through currency-specific funding. If aggregate liquidity hides a deficit, the feedback loop has broken. The central lesson is that price, income and behaviour move on different clocks. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 172: currency funding under parallel rate fall

currency funding are modelled as funding by currency. Apply parallel rate fall: shift the curve downward. Observe FX swaps, maturity and local liquidity. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is currency-specific funding. Failure occurs when aggregate liquidity hides a deficit. The systems lesson is that floors and prepayment create asymmetry. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 173: how curve steepening travels through currency funding

Start with currency funding, whose ALM role is funding by currency. The disturbance long rates rise relative to short rates. Measure FX swaps, maturity and local liquidity, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through currency-specific funding. If aggregate liquidity hides a deficit, the original balance-sheet design no longer matches reality. Remember that duration and funding effects diverge. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 174: feedback test for currency funding

Treat currency funding as part of a coupled asset-liability system, not as an isolated product. Its job is funding by currency. Under curve flattening, short rates rise relative to long rates. Track FX swaps, maturity and local liquidity and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires currency-specific funding; otherwise aggregate liquidity hides a deficit. Because deposit and wholesale cost can reprice first, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 175: ALCO decision around currency funding

The state variable currency funding provides funding by currency. After curve inversion, short rates exceed long rates. Observe FX swaps, maturity and local liquidity and identify the first limit or economic objective that becomes binding.

Management can act through currency-specific funding. If aggregate liquidity hides a deficit, the feedback loop has broken. The central lesson is that carry and funding economics can compress. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 176: currency funding under deposit competition shock

currency funding are modelled as funding by currency. Apply deposit competition shock: competitors reprice aggressively. Observe FX swaps, maturity and local liquidity. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is currency-specific funding. Failure occurs when aggregate liquidity hides a deficit. The systems lesson is that beta and migration jump. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 177: how wholesale spread shock travels through currency funding

Start with currency funding, whose ALM role is funding by currency. The disturbance market credit spread widens. Measure FX swaps, maturity and local liquidity, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through currency-specific funding. If aggregate liquidity hides a deficit, the original balance-sheet design no longer matches reality. Remember that funding cost changes without policy-rate change. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 178: feedback test for currency funding

Treat currency funding as part of a coupled asset-liability system, not as an isolated product. Its job is funding by currency. Under liquidity stress, outflows and collateral needs rise. Track FX swaps, maturity and local liquidity and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires currency-specific funding; otherwise aggregate liquidity hides a deficit. Because ALM becomes a same-day constraint, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 179: ALCO decision around currency funding

The state variable currency funding provides funding by currency. After credit deterioration, borrower risk rises. Observe FX swaps, maturity and local liquidity and identify the first limit or economic objective that becomes binding.

Management can act through currency-specific funding. If aggregate liquidity hides a deficit, the feedback loop has broken. The central lesson is that rate and credit effects interact. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 180: currency funding under model-regime break

currency funding are modelled as funding by currency. Apply model-regime break: historical behaviour ceases to hold. Observe FX swaps, maturity and local liquidity. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is currency-specific funding. Failure occurs when aggregate liquidity hides a deficit. The systems lesson is that assumption risk becomes first-order. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 181: how parallel rate rise travels through structural FX position

Start with structural FX position, whose ALM role is capital and earnings exposed across currencies. The disturbance shift the entire curve upward. Measure translation and economic hedge, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through structural hedging. If currency moves alter capital ratios, the original balance-sheet design no longer matches reality. Remember that price, income and behaviour move on different clocks. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 182: feedback test for structural FX position

Treat structural FX position as part of a coupled asset-liability system, not as an isolated product. Its job is capital and earnings exposed across currencies. Under parallel rate fall, shift the curve downward. Track translation and economic hedge and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires structural hedging; otherwise currency moves alter capital ratios. Because floors and prepayment create asymmetry, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 183: ALCO decision around structural FX position

The state variable structural FX position provides capital and earnings exposed across currencies. After curve steepening, long rates rise relative to short rates. Observe translation and economic hedge and identify the first limit or economic objective that becomes binding.

Management can act through structural hedging. If currency moves alter capital ratios, the feedback loop has broken. The central lesson is that duration and funding effects diverge. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 184: structural FX position under curve flattening

structural FX position are modelled as capital and earnings exposed across currencies. Apply curve flattening: short rates rise relative to long rates. Observe translation and economic hedge. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is structural hedging. Failure occurs when currency moves alter capital ratios. The systems lesson is that deposit and wholesale cost can reprice first. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 185: how curve inversion travels through structural FX position

Start with structural FX position, whose ALM role is capital and earnings exposed across currencies. The disturbance short rates exceed long rates. Measure translation and economic hedge, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through structural hedging. If currency moves alter capital ratios, the original balance-sheet design no longer matches reality. Remember that carry and funding economics can compress. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 186: feedback test for structural FX position

Treat structural FX position as part of a coupled asset-liability system, not as an isolated product. Its job is capital and earnings exposed across currencies. Under deposit competition shock, competitors reprice aggressively. Track translation and economic hedge and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires structural hedging; otherwise currency moves alter capital ratios. Because beta and migration jump, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Scenario 187: ALCO decision around structural FX position

The state variable structural FX position provides capital and earnings exposed across currencies. After wholesale spread shock, market credit spread widens. Observe translation and economic hedge and identify the first limit or economic objective that becomes binding.

Management can act through structural hedging. If currency moves alter capital ratios, the feedback loop has broken. The central lesson is that funding cost changes without policy-rate change. The post-action state must be remeasured because customer behaviour and market pricing can change in response to the action itself.

Scenario 188: structural FX position under liquidity stress

structural FX position are modelled as capital and earnings exposed across currencies. Apply liquidity stress: outflows and collateral needs rise. Observe translation and economic hedge. The first question is which cash flow reprices contractually and which changes only because customers or markets behave differently.

The response channel is structural hedging. Failure occurs when currency moves alter capital ratios. The systems lesson is that ALM becomes a same-day constraint. Recalculate both an earnings view and an economic-value view before deciding the risk is reduced.

Scenario 189: how credit deterioration travels through structural FX position

Start with structural FX position, whose ALM role is capital and earnings exposed across currencies. The disturbance borrower risk rises. Measure translation and economic hedge, including timing and nonlinearity. A rate sensitivity without behavioural assumptions is only a partial state description.

Close the loop through structural hedging. If currency moves alter capital ratios, the original balance-sheet design no longer matches reality. Remember that rate and credit effects interact. Test the hedge’s collateral, liquidity and basis consequences as well as its headline rate sensitivity.

Scenario 190: feedback test for structural FX position

Treat structural FX position as part of a coupled asset-liability system, not as an isolated product. Its job is capital and earnings exposed across currencies. Under model-regime break, historical behaviour ceases to hold. Track translation and economic hedge and compare realised behaviour with the assumptions used in the previous ALCO decision.

A stabilising response requires structural hedging; otherwise currency moves alter capital ratios. Because assumption risk becomes first-order, the bank should state which metric it is optimising—NII, EVE, liquidity, capital or a combination—and which metric may worsen as a side effect.

Authoritative reference shelf

For current prudential definitions and management expectations, use the Basel Framework’s Interest Rate Risk in the Banking Book chapter and the Application Guidance on IRRBB, effective in its current form from 1 January 2026. The framework defines IRRBB as risk to capital and earnings from adverse interest-rate movements and requires both economic-value and earnings measures.

For a recent supervisory view of ALM as an integrated balance-sheet discipline, see ECB Banking Supervision’s 2025 speech ALM risks, liquidity and funding: a supervisory framework for resilience and stability. It describes ALM as managing mismatches in timing, value and currency across liquidity, funding, interest-rate, credit-spread and structural currency risks.

The proposition to remember

ALM is the mathematics of incompatible clocks. Assets mature, prepay and reprice on one schedule. Deposits and funding reprice, roll or leave on another. Hedges introduce a third schedule through resets, margin and basis. Capital and liquidity impose boundaries. ALM closes the loop by measuring those mismatches, acting, and then learning from how customers and markets actually respond.

This is why there is no single “interest-rate risk number.” NII measures an earnings path. EVE measures present-value sensitivity. Repricing gaps simplify timing. Duration simplifies value sensitivity. Deposit beta simplifies behavioural pass-through. FTP simplifies internal funding cost. Each sensor loses information, so the control system needs several of them.

For mathematics students, ALM is where recurrence relations, discounted cash flows, duration, stochastic behaviour, optimisation and control theory meet a living balance sheet. The discipline is to make every assumption about timing and behaviour explicit—and to update it when the world refuses to behave like the previous model.