Asset-liability management for banks and NBFCs

Start with cash flows rather than balances

An outstanding loan balance is a stock at a point in time. ALM requires a schedule of expected receipts and payments. Break relevant assets and liabilities into principal, interest and other material cash flows, using the appropriate contractual dates and approved assumptions.

Reconcile the resulting population to accounting and operational records. Differences may be legitimate, for example because a cash-flow view includes future interest or relevant contingent obligations. Explain these differences through a bridge instead of forcing the cash-flow totals to equal a balance-sheet amount.

RBI publishes separate ALM directions for commercial banks and NBFCs. ^{[3] [4]} Their applicability, prescribed measures and reporting treatment should be checked for the institution. A common internal methodology can support analysis, but it should not erase the distinctions in the applicable requirements.

Build a maturity ladder that exposes timing risk

A maturity ladder groups receipts and payments into time bands. For each band, calculate inflows, outflows and the resulting gap. Cumulative gaps show how earlier shortfalls or surpluses affect later periods. The choice of bands should follow prescribed reporting requirements and the institution's internal analytical needs.

Use sufficient detail where timing matters. A positive monthly position can conceal a significant payment due early in the month before receipts arrive. Daily or shorter-horizon analysis may therefore be necessary for operational funding decisions, even when a regulatory return uses broader bands.

Keep the ladder traceable to underlying records. Management should be able to identify the major contracts or customer populations driving a shortfall. A table of totals is less useful when nobody can explain which cash flows create the exposure.

Distinguish contractual and behavioural assumptions

Contractual cash flows follow agreed terms. Behavioural cash flows reflect expectations about what customers and funding providers will actually do. Examples include early loan repayments, deposit withdrawals, facility utilisation and renewal behaviour. Both views can be informative, but they should be labelled clearly.

Support behavioural assumptions with relevant evidence. Historical experience is useful only if the population and conditions are comparable. A stable pattern during abundant liquidity may not describe behaviour during market stress or a reputational event.

Document ownership, approval, review dates and limitations for material assumptions. Analyse actual outcomes against previous forecasts. Persistent differences may indicate a changing customer base, a defective model or an assumption that has become convenient rather than realistic.

Assess funding concentration and renewal dependence

Total funding capacity can look strong while relying on a small number of providers or a narrow market. Analyse concentration by counterparty, instrument, tenor, currency and any other dimension material to the institution. Distinguish committed resources from expressions of interest or uncommitted lines.

Review refinancing assumptions carefully. A maturing borrowing that has historically renewed is still a contractual outflow unless the relevant analysis explicitly models renewal. Stress testing should consider reduced availability, higher pricing and delays, not just a complete market closure.

The Basel liquidity-risk guidance provides an international reference for liquidity governance and funding resilience. ^[1] Its principles are useful background, while domestic requirements determine the institution's obligations. Operationally, the key question is whether funding remains available when the institution most needs it.

A worked example: an apparently comfortable month

Suppose a hypothetical lender expects 120 units of receipts and 100 units of payments during the next month. The monthly net inflow is 20 units. However, 70 units of payments fall in the first week, while most receipts are expected in the final two weeks.

The monthly total hides an early shortfall. A more detailed ladder identifies when cash is needed and which assets or facilities can meet the gap. The team then tests whether those resources are accessible, unencumbered and operationally available at the required time.

If management assumes that a borrowing will roll over, it should show the position both with and without that assumption. This does not mean every refinancing will fail. It makes the dependence visible and allows a funding decision before the maturity date arrives.

Connect liquidity risk with interest-rate risk

ALM also examines how assets and liabilities respond to changes in interest rates. Repricing dates may differ from contractual maturity dates. A long-term floating-rate loan can reprice before maturity, while a shorter liability may carry a fixed rate until repayment.

A repricing gap helps identify where income and expense may respond at different speeds. More detailed approaches can assess changes in earnings and economic value. The appropriate method depends on the institution, products and applicable rules; one simplified gap measure cannot capture every embedded option or basis risk.

Make assumptions about customer behaviour and product terms explicit. Rate changes can affect prepayments, deposit migration, borrowing costs and credit performance simultaneously. ALM decisions should consider these interactions rather than treating interest-rate and liquidity analyses as unrelated exercises.

Design stress scenarios around plausible pressures

Start with the institution's actual vulnerabilities. A concentrated wholesale funding base suggests different scenarios from a diversified retail deposit base. A loan portfolio exposed to one sector may experience correlated collection delays. Operational disruption can also prevent expected receipts from becoming usable cash.

Combine institution-specific and market-wide pressures where meaningful. For example, lower collections may coincide with reduced borrowing availability and less favourable asset-sale prices. Applying each shock separately can understate the difficulty of responding when they occur together.

Explain the timing and duration of stress assumptions. A short, severe disruption and a prolonged moderate deterioration create different funding needs. The analysis should reveal both the size of a shortfall and the time available for management to act.

Make contingency funding plans executable

A contingency funding plan should identify triggers, decision-makers, available actions and operational dependencies. List the assets that could be monetised, facilities that could be drawn and business adjustments that could reduce pressure. State the evidence supporting their availability.

Test execution time. Selling an asset may require documentation, approvals, settlement arrangements or a functioning market. Drawing a facility may depend on covenants or eligible collateral. A resource that exists in theory but cannot be accessed promptly may not solve the relevant shortfall.

Avoid double counting. The same security cannot support several funding actions simultaneously unless the structure genuinely permits it. Show the effect of each action on later liquidity, earnings, capital and customer obligations, including any constraints introduced by using it.

Give ALCO a decision-focused information pack

The Asset-Liability Committee, commonly called ALCO, needs a coherent view of current positions, trends, assumptions and proposed actions. Present material gaps, concentrations, limit usage and stress outcomes with explanations. Highlight changes since the previous meeting and the decisions now required.

Include data limitations. A forecast based on incomplete cash-flow schedules should not appear equally reliable to a fully reconciled view. State the potential effect of missing information and the plan to correct it.

Record the committee's challenge and decisions, including owners and deadlines. At the next meeting, confirm whether agreed actions occurred and whether the expected effect was achieved. Repeatedly presenting the same risk without tracking decisions turns oversight into a reporting ritual.

Record the cost of liquidity decisions

Additional liquidity can reduce funding risk while affecting earnings. A longer borrowing tenor may cost more, and holding liquid assets may change the institution's income profile. Present those effects explicitly when recommending action.

This helps ALCO assess a real trade-off between cost and resilience, rather than judging treasury only on the lowest immediate funding rate.

Review forecast accuracy and improve the process

Compare forecast and actual cash flows at meaningful intervals. Separate timing differences, volume differences, behavioural changes and data errors. A forecast can be directionally right while systematically missing the days on which funding is required.

Use these findings to improve assumptions and source controls. If disbursements regularly exceed forecasts, examine the connection between business planning and treasury. If collections are consistently overstated, review how overdue accounts and seasonal patterns enter the model.

ALM is strongest when the institution can explain its funding position in operational terms: which cash arrives, which payments cannot wait, what assumptions may fail and which actions can be executed. That understanding makes the maturity ladder a practical management instrument rather than a periodic compliance table.