Treasury & Asset Liability Management

Chapter 9
Investment Portfolio and Liquidity Buffer Management

Post Graduate Program in Banking
Treasury & Asset Liability Management   •   Post Graduate

Investment Portfolio and Liquidity Buffer Management

Introduction and Context

A bank’s treasury portfolio is the organised pool of financial assets held for liquidity, income generation, interest-rate management, market-making, collateral, and regulatory purposes. It is not simply a collection of securities. It is a strategic balance-sheet instrument through which the treasury converts surplus funds into assets while preserving the institution’s ability to meet withdrawals, payments, margin calls, loan commitments, and other obligations.

Investment portfolio management is therefore closely connected with asset-liability management (ALM). Deposits and wholesale borrowings may be short-term or unstable, whereas loans and investments may be long-term and difficult to liquidate. The treasury must manage this maturity and liquidity transformation without taking excessive credit, market, concentration, operational, accounting, or regulatory risk.

The central managerial problem is to construct a portfolio that satisfies four potentially competing objectives:

  1. Safety: preservation of principal and control of credit and market loss.
  2. Liquidity: ability to convert assets into cash quickly with limited price impact.
  3. Return: generation of interest income and capital gains consistent with risk capacity.
  4. Regulatory and accounting suitability: compliance with prudential rules and faithful financial reporting.

A sound portfolio decision is consequently not based on yield alone. A security offering a high coupon may be inappropriate if it is illiquid, concentrated, highly sensitive to interest rates, difficult to value, or ineligible as a liquidity buffer.

Learning Objectives

After completing this chapter, the reader should be able to:

  • distinguish investment, trading, and liquidity-buffer portfolios;
  • evaluate securities using risk, return, duration, diversification, and liquidity criteria;
  • calculate price, yield, duration, modified duration, and simple portfolio measures;
  • explain accounting classification, valuation, impairment, and recycling implications;
  • design a layered liquidity buffer using operational and stress-liquidity principles;
  • assess regulatory eligibility without confusing accounting classification with prudential treatment;
  • apply governance, stress testing, and escalation procedures to treasury decisions.

1. The Architecture of a Bank Treasury Portfolio

A bank normally maintains several overlapping but distinguishable portfolios.

1.1 Trading and market-making inventory

Trading assets are acquired principally for short-term resale, market-making, or profit from short-term price movements. Their performance is usually assessed using daily mark-to-market valuation, trading income, risk limits, and value-at-risk or stress measures. Liquidity is important, but the portfolio’s primary purpose is market activity rather than contingency funding.

1.2 Banking-book investment portfolio

The banking-book portfolio is generally held for contractual cash flows, strategic investment, liquidity, collateral, or balance-sheet management. It may contain government securities, central-bank instruments, high-quality corporate bonds, municipal securities, and other approved assets. Its risk is evaluated over a longer horizon, although market prices remain relevant for liquidity and economic-value analysis.

1.3 Liquidity buffer

A liquidity buffer consists of assets that can be monetised rapidly during normal and stressed conditions. It should include assets whose cash value remains reliable when the bank most needs cash—typically during market disruption or institution-specific stress. A liquidity buffer is therefore defined by monetisation capacity, not merely by accounting location or short contractual maturity.

A useful hierarchy is:

LayerTypical assetsMain purpose
Operational cashCash, central-bank balances, overnight depositsImmediate payments and settlement
Primary liquidityTreasury bills, highly liquid sovereign securitiesSame-day or short-notice funding
Secondary liquidityHigh-quality bonds, eligible collateralStress funding and secured borrowing
Contingent liquidityCommitted lines, central-bank facilities, repo capacityAdditional protection under severe stress

The layers should be tested for legal availability, encumbrance, haircut, settlement time, and market capacity. An asset that is technically liquid but pledged, trapped in a subsidiary, subject to capital controls, or unavailable outside business hours should not be counted as fully available liquidity.

2. Risk–Return Analysis of Investment Securities

2.1 Sources of return

The return from a fixed-income investment may arise from:

  • coupon or contractual interest;
  • discount accretion or premium amortisation;
  • realised trading gains or losses;
  • unrealised price changes, depending on accounting classification;
  • reinvestment income; and
  • foreign-exchange movements for foreign-currency assets.

The expected holding-period return can be expressed generally as:

HPR = (C + P₁ − P₀) / P₀

where C is coupon or interest received during the holding period, P₀ is the initial clean or total price consistently selected, and P₁ is the ending price on the same basis. The formula assumes that cash flows are measured over one defined holding period and ignores taxes and transaction costs unless these are explicitly included.

For multi-period annualisation, a compound measure is preferable:

Annualised return = (V₁ / V₀)^(1/n) − 1

where V₀ and V₁ are beginning and ending portfolio values, and n is the number of years. Annualisation should not disguise interim losses or liquidity constraints.

2.2 Yield and total return

Yield-to-maturity is the discount rate that equates the present value of contractual cash flows with the observed market price, assuming the security is held to maturity and coupons are reinvested at that yield. These assumptions are restrictive. Yield-to-worst, spread-to-benchmark, option-adjusted spread, and expected total return may be more informative for callable, puttable, floating-rate, or credit-sensitive securities.

For a plain fixed-rate bond with annual coupons, price is:

P = ∑[t=1 to n] C / (1 + y)t + F / (1 + y)n

where P is price, C is annual coupon cash flow, F is face value, y is annual yield per period, and n is the number of periods. Coupon, face value, and price must use the same currency units, while y must correspond to the payment frequency. The equation applies to a non-defaulted fixed-rate bond with known contractual cash flows and a constant discount rate.

Worked example: bond price

A three-year bond has face value 1,000, annual coupon rate 6%, and yield-to-maturity 8%. The annual coupon is 60. Its price is:

P = 60/1.08 + 60/(1.08)2 + 1,060/(1.08)3

The approximate values are 55.56, 51.44, and 841.73, giving:

P ≈ 948.73

The bond trades below par because its 6% coupon is below the market yield of 8%. The example excludes accrued interest, taxes, brokerage, and default risk.

2.3 Credit risk

Credit risk includes default, downgrade, spread widening, settlement risk, and loss given default. Treasury should assess the issuer, guarantor, seniority, covenants, collateral, sector, geography, currency, and correlation with the bank’s lending book. External ratings may assist analysis but should not replace internal credit assessment.

Expected credit loss analysis is commonly represented conceptually as:

ECL = PD × LGD × EAD

where PD is probability of default, LGD is loss given default, and EAD is exposure at default. This simplified expression assumes one-period estimates and independence sufficient for multiplication. In a full implementation, expected credit loss is probability-weighted across scenarios and time horizons, with discounting and incorporation of forward-looking information.

2.4 Market and interest-rate risk

Bond prices generally move inversely to yields. The sensitivity is measured first by Macaulay duration:

DM = [∑ t × PV(CFt)] / P

where CFt is the cash flow at time t, PV(CFt) is its present value, and P is the bond price. Duration is expressed in years when time is measured in years.

Modified duration is:

Dmod = DM / (1 + y/m)

where m is the number of compounding periods per year and y is the nominal annual yield. For a small yield change, the approximate percentage price change is:

∆P/P ≈ −Dmod × ∆y

Here ∆y is expressed as a decimal, not as percentage points. The approximation assumes a parallel shift in the relevant yield curve, small yield movements, unchanged credit spread and liquidity premium, and no embedded-option effects. Convexity becomes important for larger movements or portfolios containing long-duration securities.

Worked example: duration-based sensitivity

Suppose a bond has modified duration of 4.2 years. If its yield rises by 50 basis points, then ∆y = 0.005. The approximate price change is:

∆P/P ≈ −4.2 × 0.005 = −0.021

Thus, price is expected to decline by approximately 2.1%, before considering convexity, spread changes, and transaction costs. A portfolio valued at 20 million would experience an approximate market-value decline of 420,000.

For a portfolio, the first-order duration estimate is the market-value-weighted average of constituent durations:

Dp = ∑ wi Di

where wi is the market-value weight of asset i and Di is its duration. The weights should sum to one. This measure is useful for a parallel shift but cannot fully capture key-rate, basis, option, or credit-spread risk.

2.5 Convexity and non-parallel shifts

Duration is a linear approximation. A more accurate approximation includes convexity:

∆P/P ≈ −Dmod∆y + ½ Conv(∆y)2

where Conv is the price convexity measure consistent with the yield convention. Convexity is especially relevant for long-term securities and large rate changes. Treasury should also use key-rate duration, which measures sensitivity to changes at specific maturities, because a steepening or flattening yield curve cannot be represented adequately by one average duration.

3. Diversification and Portfolio Construction

Diversification reduces concentration risk but does not eliminate systemic risk. A portfolio should be diversified by issuer, obligor group, instrument, maturity, currency, geography, sector, rating, settlement venue, and liquidity source.

For two assets, portfolio variance is:

σp² = w₁²σ₁² + w₂²σ₂² + 2w₁w₂ρ₁₂σ₁σ₂

where σp² is portfolio variance, w₁ and w₂ are portfolio weights, σ₁ and σ₂ are individual standard deviations, and ρ₁₂ is the correlation coefficient. The formula assumes returns are measured over the same horizon and that the weights are valued consistently. A correlation below one creates diversification benefit, although correlations can rise sharply during crises.

For more assets, the matrix form is:

σp² = wᵀΣw

where w is the vector of weights and Σ is the covariance matrix. Mean–variance optimisation may be used as an analytical input, but unconstrained optimisation can produce unstable or economically implausible portfolios. Practical constraints—issuer limits, minimum liquidity, duration bands, rating floors, regulatory eligibility, and turnover limits—are essential.

A treasury portfolio should not be optimised solely for expected return. A robust objective may consider return, liquidity cost, capital consumption, expected loss, stress loss, and balance-sheet optionality. For example, an apparently attractive corporate bond may be rejected because it consumes scarce concentration capacity or becomes difficult to repo in a crisis.

4. Liquidity Buffer Design

4.1 Liquidity risk and monetisation

Liquidity risk is the risk that the bank cannot meet obligations when due without unacceptable losses. It has two related dimensions:

  • Funding liquidity risk: inability to obtain cash or renew funding.
  • Market liquidity risk: inability to sell or finance an asset promptly at a reasonable price.

The liquidity value of a security depends on bid–ask spread, market depth, trading volume, settlement infrastructure, repo eligibility, haircuts, price volatility, and the behaviour of market participants under stress.

4.2 Cash-flow gap analysis

Treasury projects contractual and behavioural cash inflows and outflows by time bucket. A simple cumulative liquidity gap is:

Gt = It − Ot

where It is cash inflow in bucket t and Ot is cash outflow. The cumulative gap through time T is:

CGT = ∑[t=1 to T] (It − Ot)

A negative cumulative gap indicates that available cash and maturing assets may be insufficient unless the bank raises funding, sells assets, or uses contingent facilities. The calculation must include behavioural assumptions for non-maturity deposits, loan drawdowns, deposit run-off, collateral calls, and marketable-asset haircuts.

4.3 Liquidity coverage logic

A simplified liquidity coverage ratio is expressed as:

LCR = HQLA / Net cash outflows over the stress horizon

where HQLA means high-quality liquid assets after applicable regulatory haircuts and net cash outflows are stressed outflows less permitted inflows, subject to regulatory caps and definitions. The exact regulatory calculation depends on the jurisdiction and applicable prudential framework; the simplified equation should not be used as a substitute for the governing rule.

A bank should maintain a management buffer above the minimum requirement because forecasts are uncertain, collateral values can fall, and access to markets may deteriorate. The buffer should be calibrated to the bank’s risk appetite, business model, deposit stability, concentration, market access, and resolution requirements.

4.4 Haircuts and usable liquidity

The usable value of a security is not always its market value. A practical internal measure is:

Usable liquidity = Market value × (1 − haircut) − transaction costs

The haircut reflects price volatility, credit quality, maturity, currency, collateral eligibility, and stress conditions. For example, a security worth 10 million with a 5% haircut and 0.2% transaction cost provides approximately:

10,000,000 × (1 − 0.05) − 20,000 = 9,480,000

This calculation assumes the transaction cost is 0.2% of market value and that the asset can actually be monetised within the required time. Legal restrictions and settlement delays may reduce the amount further.

4.5 Liquidity stress testing

Stress tests should combine institution-specific and market-wide scenarios. Examples include:

  • rapid retail and wholesale deposit run-off;
  • downgrade of the bank or major counterparties;
  • inability to roll over commercial paper or certificates of deposit;
  • widening bid–ask spreads and declining market depth;
  • increased collateral requirements;
  • drawdown of committed credit lines by customers;
  • simultaneous foreign-currency and domestic-currency stress;
  • reputational events and payment-system disruption.

The output should identify survival time, cash shortfall, assets available after haircuts, collateral capacity, funding concentrations, and management actions. Reverse stress testing asks what combination of events would exhaust the liquidity buffer and whether that scenario is plausible.

5. Accounting Classification, Valuation, and Impairment

Accounting classification affects reported profit, equity volatility, and management incentives. It must reflect the institution’s business model and the contractual cash-flow characteristics of assets under the applicable accounting framework.

Although terminology varies by jurisdiction, common categories include:

CategoryBusiness purposeValuation patternTypical performance impact
Amortised costHold assets to collect contractual cash flowsEffective-interest method, subject to impairmentInterest and impairment in profit; fair-value movements generally not recognised in profit
Fair value through other comprehensive incomeCollect and sellFair valueInterest and impairment in profit; other fair-value movements generally in OCI, subject to recycling rules
Fair value through profit or lossTrading or other qualifying purposeFair valueFair-value changes in profit

5.1 Amortised cost and effective interest

The effective-interest method allocates the difference between initial carrying amount and maturity amount over the expected life using the rate that exactly discounts estimated future cash flows to the initial gross carrying amount. Premiums, discounts, and transaction costs are therefore recognised systematically rather than treated as immediate income or loss.

5.2 Fair value measurement

Fair value is an exit price concept: the price that would be received to sell an asset or paid to transfer a liability in an orderly transaction between market participants at the measurement date. Valuation hierarchy generally distinguishes quoted prices in active markets from observable-input models and unobservable-input models. Treasury and finance functions must document price sources, valuation adjustments, independent price verification, model governance, and stale-price procedures.

5.3 Impairment

Expected-credit-loss frameworks require recognition of credit deterioration before default. The bank normally considers past-due information, rating migration, probability of default, collateral, macroeconomic forecasts, and scenario weights. Management overlays may be necessary but should be evidence-based, documented, approved, and subject to back-testing.

A portfolio can be economically liquid yet carry impairment risk, or show accounting volatility without an equivalent expected credit loss. Managers must therefore distinguish:

  • market-price loss caused by interest-rate movements;
  • spread or liquidity loss;
  • expected credit loss caused by deterioration in repayment prospects; and
  • realised loss caused by sale or default.

5.4 Accounting and treasury interaction

Accounting classification should never be manipulated merely to conceal economic risk. A decision to sell an asset may generate accounting consequences, affect regulatory capital, and alter the credibility of the bank’s business-model assessment. Treasury, risk, finance, and internal audit should jointly govern classification and ensure that portfolio mandates match actual management behaviour.

6. Regulatory Eligibility and Governance

Regulatory eligibility is a separate question from accounting classification. An asset may be measured at fair value through OCI yet fail to qualify as a high-quality liquid asset because of issuer, currency, market, encumbrance, or haircut requirements. Conversely, an asset held at amortised cost may be useful for liquidity but not be immediately monetisable under stress.

Key eligibility questions include:

  1. Is the issuer or guarantor permitted under the relevant rule?
  2. Is the instrument unencumbered and legally transferable?
  3. Does it meet minimum rating, market, maturity, and settlement criteria?
  4. Is it subject to an appropriate haircut and concentration cap?
  5. Can it be pledged or sold in the required jurisdiction and currency?
  6. Is it available to the regulated entity rather than trapped elsewhere?
  7. Does use of the asset create a disclosure, capital, or reputational consequence?

A treasury investment policy should specify permitted instruments, limits, prohibited transactions, delegated authorities, minimum ratings, duration bands, issuer concentrations, stop-loss or escalation triggers, liquidity floors, valuation sources, and exception procedures.

Governance should include an asset-liability committee, independent risk oversight, front-office and back-office segregation, daily reconciliations, independent price verification, limit monitoring, and documented escalation. Incentive systems should reward risk-adjusted and liquidity-adjusted performance rather than nominal yield alone.

7. Technology, Data, and Artificial Intelligence

Modern treasury platforms integrate market data, position records, cash forecasts, collateral inventories, accounting classifications, regulatory eligibility, and limit monitoring. Data quality is critical: an incorrect maturity date, coupon frequency, currency, or encumbrance flag can materially distort liquidity and duration calculations.

Artificial intelligence may assist with deposit-flow forecasting, anomaly detection, spread monitoring, and scenario generation. However, models should be explainable enough for risk governance, tested for instability, and subject to human approval. AI should not independently reclassify assets, override risk limits, or infer liquidity eligibility without controlled rules and auditable evidence. Model risk includes data drift, procyclical recommendations, hidden correlations, and overconfidence during unprecedented stress.

8. Illustrative Case: Meridian Commercial Bank

Background

Meridian Commercial Bank has 100 million of surplus funds for investment. Its treasury must preserve liquidity because 35% of deposits are operationally sensitive, wholesale funding is concentrated among three counterparties, and the bank has substantial undrawn corporate loan commitments.

The investment committee is considering three securities:

SecurityAmount consideredYieldModified durationStress haircutLiquidity characteristics
A: sovereign bills40 million5.0%0.7 years2%Deep market, repo eligible
B: high-grade corporate bonds35 million6.8%3.8 years8%Moderate market depth
C: lower-rated long bond25 million9.5%6.5 years20%Thin market, limited repo access

Problem

A yield-only decision would favour Security C. However, the bank needs a credible liquidity buffer and cannot tolerate a large loss under a rapid increase in interest rates or credit spreads.

Analysis

Assume a parallel yield increase of 100 basis points. Using the duration approximation:

  • A: approximate price loss = 0.7 × 1% = 0.7%;
  • B: approximate price loss = 3.8 × 1% = 3.8%;
  • C: approximate price loss = 6.5 × 1% = 6.5%.

The stress-adjusted immediately usable value is approximately:

  • A: 40 × 98% = 39.2 million;
  • B: 35 × 92% = 32.2 million;
  • C: 25 × 80% = 20.0 million.

Before transaction costs, the portfolio provides 91.4 million of usable value against 100 million invested. If the bank’s minimum management liquidity buffer is 90 million, the portfolio barely passes the haircut test, but its risk is concentrated in the long and less liquid securities.

Approach and solution

The committee rejects the proposed yield-maximising allocation and adopts a layered structure:

  • 50 million in sovereign bills and short sovereign securities;
  • 35 million in diversified high-grade corporate and sovereign bonds with staggered maturities;
  • 15 million in carefully limited higher-yield assets, subject to a separate risk limit and exclusion from the primary liquidity layer.

The bank also imposes a portfolio duration ceiling of 3.0 years, issuer limits, a minimum 50% primary-liquidity proportion, daily liquidity reporting, and a trigger requiring escalation if the usable buffer falls below 1.2 times the internal minimum.

Outcome

The revised portfolio sacrifices some expected yield but improves monetisation capacity, reduces duration exposure, and limits the impact of a single issuer or market segment. Security C is not automatically prohibited; it is recognised as an investment asset rather than treated as core liquidity.

Learning points

  1. Nominal yield is not equivalent to risk-adjusted return.
  2. Haircuts convert market value into more realistic usable liquidity.
  3. Duration estimates should be combined with spread, convexity, and liquidity analysis.
  4. A liquidity buffer must be classified by function and availability, not merely by accounting label.
  5. Portfolio limits should reflect the bank’s funding structure and stress scenarios.

9. Challenges and Limitations

Portfolio models are useful but imperfect. Historical correlations may fail during crises; market prices may become unavailable; ratings may lag deterioration; duration may understate option risk; and stress scenarios may omit political, cyber, legal, or settlement events. Accounting numbers may also move differently from economic value, creating incentives to focus on reported volatility rather than genuine risk.

Liquidity is particularly difficult to measure because it is state-dependent. A security that is liquid in normal markets may become illiquid when all banks attempt to sell similar assets. Consequently, contingency funding plans should identify actions, authorities, communication protocols, collateral inventories, and escalation thresholds before stress occurs.

Ethically, treasury managers must avoid window dressing, misleading liquidity disclosures, unauthorised risk-taking, and compensation structures that reward hidden tail risk. The board and senior management remain responsible for ensuring that the portfolio reflects the institution’s risk appetite and capacity.

Best-Practice Framework

An effective investment and liquidity-buffer process should:

  1. define portfolio purpose before selecting securities;
  2. separate trading, investment, and liquidity mandates;
  3. use risk-adjusted rather than yield-only performance measures;
  4. combine duration, convexity, spread, credit, concentration, and liquidity analysis;
  5. apply conservative haircuts and realistic monetisation assumptions;
  6. reconcile accounting, regulatory, and economic-value views;
  7. conduct normal, adverse, severe, and reverse stress tests;
  8. maintain unencumbered, operationally accessible assets;
  9. document valuation, impairment, and model assumptions;
  10. review limits, scenarios, and behaviour after market events.

Chapter Summary

Treasury portfolio management is a balance-sheet discipline that integrates return generation with safety, liquidity, market-risk control, accounting integrity, and regulatory compliance. Securities must be evaluated through their cash flows, credit quality, duration, convexity, diversification contribution, market depth, collateral value, and eligibility under applicable rules. Duration provides a useful first-order estimate of interest-rate sensitivity, while convexity and key-rate measures improve analysis for larger or non-parallel yield movements. Diversification reduces idiosyncratic risk but cannot eliminate systemic stress.

A liquidity buffer should be layered, unencumbered, accessible, and valued after realistic haircuts. Cash-flow gaps, stress testing, survival horizons, and contingent funding capacity are essential complements to ratio-based monitoring. Accounting classification affects reported performance but must reflect the business model and cannot substitute for economic risk assessment. Finally, effective governance requires clear mandates, independent valuation, limit systems, data controls, ethical conduct, and coordinated oversight by treasury, risk, finance, senior management, and the board.

Key Terms

Amortised cost: Measurement basis using the effective-interest method, subject to impairment.

Asset-liability management: Coordinated management of assets, liabilities, liquidity, earnings, and risks.

Convexity: Measure of the curvature of the relationship between bond price and yield.

Duration: Sensitivity of a bond or portfolio value to changes in interest rates.

Encumbrance: Restriction that prevents an asset from being freely used or monetised.

Expected credit loss: Probability-weighted estimate of credit losses, incorporating relevant forward-looking information.

Fair value: Exit price in an orderly transaction between market participants at the measurement date.

Haircut: Reduction applied to market value to reflect risk and financing or liquidation uncertainty.

High-quality liquid assets: Assets meeting applicable standards for reliable monetisation during stress.

Holding-period return: Return from income and price change over a specified period.

Liquidity buffer: Pool of readily monetisable assets maintained to meet cash needs.

Liquidity risk: Risk of failing to meet obligations when due without unacceptable loss.

Modified duration: Approximate percentage price sensitivity to a unit change in yield.

Portfolio diversification: Distribution across exposures to reduce concentration risk.

Regulatory eligibility: Compliance of an asset with specified prudential requirements.

Repo eligibility: Ability to use a security in a repurchase or secured-financing transaction.

Stress testing: Evaluation of portfolio resilience under adverse but plausible conditions.

Yield-to-maturity: Discount rate equating a bond’s price with its contractual cash flows under specified assumptions.

Review Questions

Short Answer Questions

  1. Why is a liquidity buffer different from an ordinary investment portfolio?
  2. Define modified duration and state its principal use.
  3. What is the purpose of applying a haircut to a security’s market value?
  4. Distinguish amortised cost from fair-value-through-profit-or-loss measurement.
  5. Identify four dimensions along which a treasury portfolio should be diversified.

Long Answer Questions

  1. Explain how a bank should balance safety, liquidity, return, and regulatory eligibility when constructing an investment portfolio.
  2. Discuss the role and limitations of duration, convexity, and key-rate analysis in managing interest-rate risk.
  3. Explain how accounting classification and expected-credit-loss requirements affect treasury decision-making.
  4. Describe the design of a layered liquidity buffer and the stress tests that should support it.
  5. Evaluate the governance arrangements required for effective investment portfolio and liquidity-buffer management.

Analytical / Application Questions

  1. A bond portfolio has modified duration of 5.1 years and market value of 60 million. Estimate the first-order value change if yields rise by 75 basis points. State the assumptions and limitations of your estimate.
  2. A bank holds 30 million of a security with a 12% stress haircut and estimated liquidation costs of 0.4% of market value. Calculate its approximate usable liquidity and explain why the result may still overstate cash availability.
  3. Design a portfolio allocation for a bank facing unstable wholesale funding, explaining how you would assign assets to operational, primary, secondary, and contingent liquidity layers.

Multiple Choice Questions with Answers

Question 1

A bond has a modified duration of 4 years. If its yield rises by 50 basis points, what is the approximate percentage price change, ignoring convexity?

A. −0.20%

B. −2.00%

C. +2.00%

D. +20.00%

Correct Answer: B. −2.00%

Question 2

Which characteristic is most important for an asset counted in the core liquidity buffer?

A. High coupon regardless of market depth

B. Long maturity and high duration

C. Reliable monetisation during stress

D. Exposure to a single highly profitable issuer

Correct Answer: C. Reliable monetisation during stress

Question 3

Under the simplified expected-credit-loss expression, which three components are multiplied?

A. Duration, convexity, and yield

B. Probability of default, loss given default, and exposure at default

C. Coupon, price, and maturity

D. Haircut, spread, and correlation

Correct Answer: B. Probability of default, loss given default, and exposure at default

Question 4

A security worth 8 million has a 10% haircut and liquidation costs of 0.25% of market value. What is its approximate usable liquidity?

A. 7.18 million

B. 7.80 million

C. 7.98 million

D. 8.20 million

Correct Answer: A. 7.18 million

Question 5

Which accounting category generally recognises fair-value changes in profit or loss?

A. Amortised cost

B. Fair value through other comprehensive income only

C. Fair value through profit or loss

D. Historical cost without impairment

Correct Answer: C. Fair value through profit or loss

Question 6

What does a negative cumulative liquidity gap indicate?

A. Inflows exceed outflows through the period

B. Outflows exceed inflows through the period

C. The portfolio has zero market risk

D. The bank has no contingent funding needs

Correct Answer: B. Outflows exceed inflows through the period

Question 7

Which measure is most directly associated with diversification benefit in a two-asset portfolio?

A. The correlation coefficient between asset returns

B. The face value of the larger asset

C. The coupon frequency alone

D. The accounting classification alone

Correct Answer: A. The correlation coefficient between asset returns

Question 8

Why may an asset classified as fair value through other comprehensive income still fail to qualify as a regulatory liquidity asset?

A. Accounting classification automatically prohibits liquidity use

B. Regulatory eligibility depends on separate prudential criteria

C. All OCI assets are necessarily illiquid

D. OCI assets cannot be pledged under any circumstances

Correct Answer: B. Regulatory eligibility depends on separate prudential criteria

Question 9

What is the main limitation of using one portfolio duration measure?

A. It cannot estimate any interest-rate exposure

B. It ignores all contractual cash flows

C. It may not capture non-parallel yield-curve movements or option risk

D. It applies only to equity securities

Correct Answer: C. It may not capture non-parallel yield-curve movements or option risk

Question 10

Which governance practice best reduces valuation risk?

A. Allowing the front office to set and approve its own prices

B. Using only the highest available broker quote

C. Independent price verification and documented valuation controls

D. Ignoring stale prices until the next reporting date

Correct Answer: C. Independent price verification and documented valuation controls

Treasury & Asset Liability Management
Chapter 9 of 15