Investment Policy, Asset Allocation and Liability Management

Introduction and Context

Investment management begins not with the selection of securities, but with the definition of the investor’s purpose. A portfolio is appropriate only when its expected behaviour is consistent with the investor’s objectives, risk capacity, liquidity requirements, time horizon, tax position, legal constraints and liabilities. These requirements are integrated through an investment policy statement (IPS) and implemented primarily through asset allocation.

Asset allocation determines how capital is distributed among broad asset classes such as equities, fixed income, cash, real estate, commodities and private assets. Security selection and manager selection are important, but research consistently shows that the portfolio’s long-term risk and return characteristics are strongly influenced by its strategic asset allocation. For institutions, the problem is more demanding because assets must be managed in relation to future liabilities. This is the central concern of asset–liability management (ALM).

The chapter develops a practical framework for converting investor circumstances into an investment policy, distinguishing strategic, tactical and dynamic allocation, and applying goals-based investing, liability matching and scenario analysis.

Learning Objectives

By the end of this chapter, the reader should be able to:

1. Explain the purpose and structure of an investment policy statement.
2. Distinguish risk tolerance from risk capacity and identify their implications for portfolio design.
3. Formulate strategic, tactical and dynamic asset-allocation policies.
4. Apply mean–variance concepts, diversification principles and constraints to allocation decisions.
5. Explain asset–liability management, duration matching and surplus-risk management.
6. Use goals-based investing and scenario analysis in professional portfolio construction.
7. Evaluate governance, ethical, regulatory and implementation issues in investment policy.

1. From Investor Circumstances to Investment Policy

An IPS is a governing document that translates an investor’s circumstances into an implementable portfolio policy. It should be sufficiently precise to guide decisions, yet sufficiently flexible to accommodate changing market conditions and legitimate changes in the investor’s circumstances. It is not a market forecast and should not be rewritten merely because markets have risen or fallen.

A robust IPS normally includes:

• investor identity and purpose;
• investment objectives, including return and funding goals;
• risk tolerance and risk capacity;
• liquidity requirements and cash-flow schedules;
• time horizon and relevant horizon segments;
• tax status and tax-aware implementation requirements;
• legal, regulatory, accounting and fiduciary constraints;
• eligible and prohibited investments;
• strategic asset allocation ranges;
• rebalancing rules;
• performance benchmarks;
• governance, delegation and reporting procedures; and
• review triggers.

Objectives

Objectives should be expressed in measurable terms. A foundation may seek to distribute 5% of a rolling average asset value while preserving purchasing power. A pension fund may seek to meet benefit payments with an acceptable probability of funding. A private client may require capital for education, a house purchase and retirement at different dates.

A nominal return objective refers to money-value growth. A real return objective accounts for inflation. If the required real return is r and expected inflation is π, the corresponding nominal return is approximately:

Here, R_nominal, r and π are expressed as decimal rates for the same period. The formula assumes that the real return and inflation rate are measured consistently. For small rates, the approximation R_nominal ≈ r + π may be used, but the exact expression is preferable for planning.

Risk tolerance and risk capacity

Risk tolerance is the investor’s willingness to accept uncertainty or loss. It is partly behavioural and may be assessed through structured interviews and questionnaires. Risk capacity is the investor’s financial ability to absorb loss without jeopardising essential objectives. It depends on wealth, income stability, liabilities, flexibility of spending, insurance and time horizon.

These concepts must not be confused. A wealthy investor may have high capacity but low tolerance. A young investor may be willing to take risk but have limited capacity because of debt, unstable income or a near-term liability. The appropriate policy is generally constrained by the lower of the two.

Risk has several dimensions:

• volatility risk: variation in market value;
• drawdown risk: decline from a previous peak;
• shortfall risk: failure to achieve a required target;
• liquidity risk: inability to sell or raise cash at a reasonable price;
• inflation risk: loss of purchasing power;
• credit and default risk: failure of a borrower or counterparty;
• interest-rate risk: sensitivity to changes in yields;
• longevity risk: survival beyond the period for which assets were planned; and
• sequence-of-returns risk: adverse early returns during a withdrawal phase.

A policy that focuses only on standard deviation may therefore be inadequate.

Liquidity and time horizon

Liquidity requirements should be specified by amount, date and confidence level. A portfolio may be divided into a liquidity reserve, an intermediate portfolio and a long-term growth portfolio. The liquidity reserve should cover foreseeable obligations and a contingency margin. Illiquid investments may be suitable for long-horizon capital but are inappropriate when commitments are uncertain or capital calls may coincide with market stress.

Time horizon is often multi-stage rather than a single number. A household may have a one-year emergency reserve, a five-year property objective and a thirty-year retirement objective. Each goal requires a separate risk assessment. A long aggregate horizon does not justify placing near-term liabilities in volatile or illiquid assets.

Tax, legal and ethical constraints

Tax-aware policy considers the investor’s marginal tax rate, tax location, capital-gains rules, withholding taxes, loss realisation and the distinction between taxable and tax-advantaged accounts. Pre-tax expected returns are not sufficient when investments are taxed differently.

Legal constraints may include investment statutes, fiduciary duties, concentration limits, prohibited sectors, foreign-ownership rules, leverage restrictions and disclosure obligations. Fiduciaries must act prudently, loyally and in the beneficiaries’ best interests. Conflicts involving commissions, affiliated products, soft-dollar arrangements or preferential access must be disclosed and controlled.

2. Portfolio Theory and the Role of Asset Allocation

Diversification and covariance

Diversification reduces exposure to risks that are not perfectly shared across holdings. It does not eliminate systematic market risk. For a portfolio with weights w_i and asset returns R_i, the expected portfolio return is:

where ∑w_i = 1 for a fully invested portfolio, and E(R_i) is the expected return of asset i. The weights are dimensionless and returns must use the same period and currency basis.

For two assets, portfolio variance is:

where σ_p² is portfolio variance, σ_A and σ_B are asset volatilities, and ρ_AB is the correlation coefficient. The formula assumes returns are measured over the same horizon and that the covariance structure is represented adequately by the estimated correlation. Portfolio standard deviation is σ_p = √σ_p².

The covariance term is central. Even if two assets are individually risky, a correlation below one can reduce aggregate volatility. Correlations are not constant, however; they may rise during crises, weakening diversification precisely when it is most needed.

Mean–variance optimisation

A classical optimisation problem minimises risk for a required expected return:

Here, w is the vector of asset weights, Σ is the covariance matrix, μ is the vector of expected returns, R* is the target return, and w′ denotes the transpose of w. The objective w′Σw is portfolio variance. Feasibility may include long-only, minimum or maximum weights, turnover, leverage and liquidity constraints.

The model is useful as a framework but sensitive to estimation error. Small changes in expected returns or correlations can produce implausibly large changes in optimal weights. Professional practice therefore uses constraints, resampling, robust optimisation, risk-factor analysis and judgement rather than treating the unconstrained output as an instruction.

Risk budgeting

Risk budgeting allocates not only capital but also a portfolio’s risk contribution. If marginal portfolio risk with respect to asset i is ∂σ_p/∂w_i, the asset’s risk contribution can be represented as:

Under standard deviation as the risk measure and a homogeneous portfolio, the contributions sum to total portfolio volatility. Risk budgeting is particularly useful when a small capital allocation to a highly volatile or leveraged strategy generates a large share of total risk.

3. Strategic, Tactical and Dynamic Asset Allocation

Strategic asset allocation

Strategic asset allocation (SAA) is the long-term policy mix designed to meet objectives across a full market cycle. It is based on long-term capital-market assumptions, liability characteristics, risk capacity and governance constraints. A strategic policy may specify target weights and permissible ranges, for example:

The strategic mix should be tied to a benchmark and reviewed when objectives, liabilities, regulations or capital-market assumptions materially change—not in response to ordinary market noise.

Tactical asset allocation

Tactical asset allocation (TAA) makes controlled, temporary deviations from SAA to exploit valuation, macroeconomic, momentum or risk signals. A tactical range should be explicit, with limits on position size, turnover, leverage and holding period. TAA introduces forecast risk, implementation costs and behavioural risks such as overconfidence and performance chasing. It should be evaluated against the strategic policy and its opportunity cost, not merely against a convenient market index.

Dynamic asset allocation

Dynamic allocation changes exposure according to a decision rule linked to market conditions, portfolio funding status, volatility, valuation, age or liability coverage. Examples include reducing risky assets when a funding ratio deteriorates, increasing cash as a goal approaches, or using a volatility-control overlay.

Dynamic strategies may be discretionary or rules-based. A rule should specify the signal, measurement frequency, response threshold, transaction mechanism and exception process. Without such specifications, “dynamic” allocation can become undisciplined market timing.

Rebalancing

Rebalancing restores the portfolio toward target weights. It can be calendar-based, threshold-based or cash-flow-based. Threshold rebalancing trades when an actual weight departs from its target by a defined amount. Rebalancing controls risk, but it can create taxes, transaction costs and unintended factor exposures. A policy should state whether contributions and withdrawals are used to reduce trading.

Figure: The investment-policy cycle from investor circumstances to implementation and review.

4. Asset–Liability Management

ALM manages assets in relation to liabilities rather than assessing assets in isolation. It is essential for pension funds, insurers, banks, endowments and households with material future commitments.

Liability characteristics

Liabilities should be described by amount, timing, currency, inflation sensitivity, probability, legal seniority and flexibility. A pension liability may rise with wages or inflation. An insurer’s claims may be uncertain in timing and severity. A bank’s deposits may be contractually short-term but behaviourally stable. These differences determine suitable assets.

The funded ratio is commonly defined as:

where A is the market value of assets and L is the present value of liabilities, measured on a consistent basis. F > 1 indicates assets exceed measured liabilities, while F < 1 indicates a deficit. The ratio is meaningful only if asset valuation, liability discounting, inflation assumptions and accounting conventions are comparable.

The surplus is:

Surplus risk concerns fluctuations in S, not merely fluctuations in A. An asset that appears safe in isolation may be risky relative to liabilities if it fails to respond when liabilities increase.

Discounting and duration

For deterministic cash flows, present value is:

where CF_t is the cash flow at time t, y_t is the appropriate annual discount rate for that maturity, and T is the final payment period. When a single yield y is used as a simplifying assumption, the expression becomes PV = ∑ CF_t/(1+y)^t.

Macaulay duration is the present-value-weighted average time to receive cash flows:

Modified duration, under annual compounding, is:

For a small parallel change in yield ∆y, the approximate percentage price change is:

The approximation assumes a small, parallel yield-curve shift and ignores convexity. It is less reliable for large rate changes, securities with embedded options or materially non-parallel curve movements.

Duration matching seeks to align the duration of assets and liabilities. Cash-flow matching is stronger: it schedules asset cash flows to meet liability cash flows. Immunisation aims to make the surplus relatively insensitive to small parallel rate changes, subject to assumptions about yield movements, reinvestment and liability stability. Neither approach eliminates credit, inflation, liquidity, basis, longevity or model risk.

Liability-driven investment

Liability-driven investment (LDI) separates portfolio functions:

• a matching portfolio hedges the interest-rate and inflation sensitivity of liabilities;
• a return-seeking portfolio seeks additional return to close a funding gap; and
• a liquidity portfolio meets collateral, benefit and operating needs.

Leverage can increase the hedge achieved per unit of capital but introduces margin calls, collateral risk and forced-selling risk. LDI therefore requires stress testing, liquidity buffers and clear governance.

5. Goals-Based Investing

Goals-based investing allocates assets by objective rather than treating all wealth as a single risk pool. Each goal receives a funding status, horizon, priority and risk budget. Essential goals generally receive higher certainty and liquidity; aspirational goals may accept greater volatility.

A goal’s funding ratio may be expressed as:

where V is the current value assigned to the goal and PV(G^*) is the present value of its future required amount. The discount rate should reflect the goal’s risk and appropriate opportunity cost, not automatically a high expected equity return.

Goals-based investing improves communication because “risk” becomes the probability or magnitude of failing a specific objective. It also reveals that a single portfolio volatility figure can conceal important differences: a 20% decline may be tolerable for a retirement goal thirty years away but unacceptable for tuition due next year.

A practical process is:

1. identify goals and classify them as essential, important or aspirational;
2. estimate amount, date, inflation exposure and flexibility;
3. assign a funding and risk budget;
4. map each goal to a portfolio or sleeve;
5. aggregate exposures to avoid hidden concentration; and
6. monitor progress and revise assumptions.

6. Scenario Analysis and Stress Testing

Scenario analysis examines how a portfolio and its liabilities behave under specified conditions. Historical scenarios may include a financial crisis, inflation shock or rapid rate increase. Hypothetical scenarios may combine equity losses, widening credit spreads, currency depreciation, inflation and reduced liquidity.

A simple scenario return is:

where r_i^scenario is the assumed return of asset i under the scenario. For an ALM analysis, the more relevant quantity is the change in surplus:

Asset and liability changes must be estimated on consistent valuation bases. Scenario analysis is not a probability forecast. It asks, “What would happen if this condition occurred?” and helps identify vulnerabilities, liquidity needs and governance responses.

Good practice includes:

• using both historical and forward-looking scenarios;
• testing non-linear and option exposures;
• modelling collateral and redemption needs;
• considering correlation breakdowns;
• varying assumptions rather than relying on one estimate; and
• documenting management actions and decision thresholds.

Stress tests should not be used to create false precision. They are decision tools, not guarantees.

7. Worked Example: A Simplified Pension Allocation

Consider an illustrative pension fund with assets of 100 million currency units and liabilities valued at 110 million. The initial funded ratio is:

Thus, the fund is approximately 90.9% funded and has a surplus of:

Suppose the investment committee adopts the following allocation: 50% global equities, 35% long-duration bonds and 15% cash and short-term instruments. The liability duration is estimated at 14 years, while the bond portfolio duration is 11 years. The committee considers a 1 percentage-point parallel increase in yields. Ignoring convexity and other effects, the approximate bond return is:

The bond sleeve loses approximately 11% of its value. Since it represents 35 million, the approximate asset loss on that sleeve is 3.85 million. If liabilities have duration 14, their value falls approximately 14% under the same simplified rate shock. On 110 million of liabilities, that is a decline of approximately 15.4 million. The asset-side loss from the bond sleeve alone is therefore more than offset by the liability decline, although the equity and cash responses, discount-curve basis and cash-flow effects must also be modelled before drawing a final conclusion.

This example demonstrates why a liability-relative analysis can produce a different conclusion from an asset-only analysis. A fall in bond prices is not necessarily harmful to a pension surplus if liabilities fall by more. Conversely, a portfolio with attractive expected return may create serious funding risk if it is highly exposed to conditions that increase liabilities.

8. Illustrative Case: Northbridge University Pension Plan

Background

Northbridge University operates a defined-benefit pension plan. It has 500 million currency units of assets and liabilities valued at 540 million. Benefit payments are predictable for ten years, but inflation-linked increases and longevity improvements create uncertainty. The plan is governed by a committee that meets quarterly and has limited internal investment expertise.

Problem

The plan currently holds 65% equities, 25% bonds and 10% cash. The high equity exposure has produced strong long-term returns, but the funding deficit is sensitive to equity drawdowns. The liabilities have a duration of 13 years, whereas the bond portfolio has a duration of 6 years. The plan also faces a possible 30 million liquidity requirement from benefit payments and collateral over the next two years.

Analysis

The committee identifies four risks. First, equity losses could widen the funding deficit. Second, the short-duration bond portfolio provides a weak hedge against falling interest rates that increase liability values. Third, the cash reserve may be insufficient under stressed conditions. Fourth, the committee lacks explicit rebalancing and escalation rules.

Scenario analysis considers:

• a 25% equity decline;
• a 200-basis-point decline in long-term yields;
• a high-inflation scenario with rising indexed liabilities; and
• a combined equity, credit and liquidity shock.

The analysis shows that the current policy has attractive expected return but unacceptable downside in the combined scenario.

Approach and solution

The committee revises the IPS as follows:

1. establish a matching portfolio of high-quality, long-duration and inflation-sensitive assets;
2. retain a return-seeking portfolio, but reduce its equity weight gradually as the funding ratio improves;
3. maintain a dedicated liquidity reserve above the two-year projected requirement;
4. introduce a funded-ratio trigger that shifts assets from return-seeking to matching investments;
5. define collateral, leverage and counterparty limits;
6. adopt quarterly monitoring and an annual strategic review; and
7. require independent review of liability assumptions and manager conflicts.

The revised policy does not attempt to eliminate all risk. Instead, it distinguishes hedgeable liability risk from return-seeking risk and ensures that liquidity is available without forced sales.

Outcome and learning points

The plan’s expected return may be lower than under the original allocation, but its probability of severe underfunding and forced liquidation is reduced. The case illustrates five principles: the correct risk measure is liability-relative; liquidity must be stress-tested; dynamic de-risking requires pre-agreed rules; governance capacity constrains complexity; and a higher expected return is not automatically a better policy.

9. Implementation, Governance and Technology

Implementation requires translating policy weights into instruments, mandates and trading instructions. Choice of active or passive management should depend on market efficiency, costs, tax, liquidity, governance capacity and the reliability of the manager’s process. Total cost includes management fees, trading costs, bid–ask spreads, market impact, taxes and implicit opportunity costs.

Benchmarks must be investable, transparent and aligned with the portfolio’s purpose. A liability-hedging portfolio should not be judged solely against a generic bond index if its purpose is to hedge a liability stream. Performance attribution should distinguish allocation, selection, currency, duration, credit and implementation effects.

Governance should establish who sets policy, who implements it, who monitors risk and who can approve exceptions. Delegation does not remove fiduciary responsibility. Investment committees should document decisions, assumptions, conflicts and dissenting views.

Technology supports data aggregation, exposure measurement, scenario analysis, automated rebalancing and compliance monitoring. Artificial intelligence may assist with document review, anomaly detection and analysis of large datasets, but it does not remove model risk. AI-generated recommendations can embed biased data, unstable relationships or opaque assumptions. Human oversight, explainability, validation, cybersecurity and audit trails are essential, especially where the output affects beneficiaries or clients.

10. Limitations and Contemporary Developments

Asset allocation is subject to parameter uncertainty. Expected returns, volatilities, correlations, inflation and liability assumptions are estimated rather than known. Regime changes can invalidate historical relationships. Private assets may appear less volatile because valuations are infrequent, not because economic risk is absent. ESG and climate considerations may affect cash flows, regulation, transition risk and beneficiary preferences, but they should be incorporated through explicit objectives and measurable risk analysis rather than unsupported labels.

Contemporary practice increasingly combines:

• factor and risk-based allocation;
• inflation-sensitive assets;
• climate and transition scenarios;
• liquidity-aware private-market commitments;
• outcome-oriented and goals-based reporting;
• funded-ratio glide paths; and
• integrated enterprise risk management.

These developments improve decision quality only when they remain connected to the investor’s actual objectives and governance capacity.

Best-Practice Checklist

A high-quality investment policy should:

1. begin with objectives and liabilities, not products;
2. distinguish willingness to take risk from ability to bear it;
3. separate strategic policy from temporary tactical views;
4. state liquidity needs in amounts and dates;
5. use realistic, documented capital-market assumptions;
6. analyse total portfolio and factor exposures;
7. define ranges, rebalancing and escalation rules;
8. stress-test assets, liabilities, liquidity and collateral together;
9. align benchmarks with objectives;
10. review assumptions and conflicts independently; and
11. communicate uncertainty without creating false precision.

Chapter Summary

Investment policy is the bridge between investor circumstances and portfolio implementation. An IPS records objectives, risk tolerance, risk capacity, liquidity, horizon, tax and legal constraints, eligible investments, allocation ranges, benchmarks and governance procedures. Strategic asset allocation establishes the long-term policy mix; tactical allocation makes controlled temporary deviations; and dynamic allocation changes exposure through pre-defined decision rules.

Portfolio theory demonstrates that expected return is a weighted combination of asset returns, while risk depends critically on covariance and correlation. Mean–variance optimisation is useful but sensitive to estimation error and should be constrained by practical judgement. Asset–liability management focuses on the behaviour of assets relative to liabilities, using funding ratios, surplus analysis, duration, cash-flow matching and liability-driven investment. Goals-based investing links separate portfolios to distinct objectives and horizons. Scenario analysis and stress testing reveal vulnerabilities that average-return forecasts may conceal.

Effective investment management also requires liquidity planning, ethical governance, suitable benchmarks, cost control, technology oversight and regular review. The central professional principle is that the best portfolio is not the one with the highest isolated expected return, but the one most likely to meet the investor’s objectives within the investor’s financial, legal and behavioural constraints.

Key Terms

Investment Policy Statement: A formal document defining objectives, constraints, allocation, governance and monitoring rules.

Strategic Asset Allocation: The long-term target mix of asset classes.

Tactical Asset Allocation: Temporary deviations from strategic weights to pursue identified opportunities.

Dynamic Asset Allocation: Rule-based or discretionary changes in allocation as conditions or funding status change.

Risk Tolerance: Willingness to accept investment uncertainty or loss.

Risk Capacity: Financial ability to absorb loss without compromising objectives.

Liquidity Risk: Risk that assets cannot be sold or cash raised when required without substantial cost.

Goals-Based Investing: Organising investments around separate financial objectives and their funding requirements.

Asset–Liability Management: Coordinated management of assets and liabilities.

Liability-Driven Investment: An approach that prioritises hedging liability sensitivities while allocating remaining capital to return-seeking assets.

Funded Ratio: The ratio of asset value to liability value.

Surplus: Assets minus liabilities.

Duration: A measure of a bond or liability’s sensitivity to interest-rate changes.

Cash-Flow Matching: Structuring asset cash flows to meet liability cash flows.

Immunisation: An approach intended to reduce sensitivity of surplus to specified interest-rate movements.

Scenario Analysis: Evaluation of portfolio outcomes under specified conditions.

Stress Testing: Analysis of resilience under severe but plausible adverse conditions.

Rebalancing: Returning portfolio weights toward policy targets.

Risk Budget: The amount or share of risk allocated to a portfolio, asset or strategy.

Governance: The structures, responsibilities and controls through which investment decisions are made and monitored.

Review Questions

Short Answer Questions

1. What are the principal components of an investment policy statement?
2. Distinguish risk tolerance from risk capacity.
3. Explain the difference between strategic and tactical asset allocation.
4. Why can an asset with low standalone volatility still create liability-relative risk?
5. What is the purpose of a funded ratio?

Long Answer Questions

1. Explain how an investor’s objectives, liquidity needs, time horizon, tax position and legal constraints are translated into an IPS.
2. Discuss the usefulness and limitations of mean–variance optimisation in professional asset allocation.
3. Compare cash-flow matching, duration matching and immunisation.
4. Explain how goals-based investing changes the interpretation of portfolio risk.
5. Discuss governance, ethical and technology-related risks in institutional investment management.

Analytical / Application Questions

1. A pension fund has assets of 200 million and liabilities of 220 million. Its asset duration is 8 years and liability duration is 15 years. Analyse the likely surplus implications of a small parallel fall in interest rates and identify the limitations of a duration-only analysis.
2. Construct a high-level strategic allocation for an investor with a two-year home-purchase goal, a twenty-five-year retirement goal and moderate liquidity needs. Explain how the allocation should be divided by goal.
3. Design a scenario-analysis framework for an insurer exposed to equity losses, inflation, credit-spread widening and policyholder withdrawals. Specify the variables, outputs and governance actions that should be included.

Multiple Choice Questions with Answers

Question 1

Which statement best distinguishes risk capacity from risk tolerance?

A. Risk capacity is willingness to accept loss, while risk tolerance is income stability.

B. Risk capacity is the financial ability to absorb loss, while risk tolerance is willingness to accept uncertainty.

C. Risk capacity and risk tolerance are identical measures.

D. Risk tolerance is determined only by the investment horizon.

Correct Answer: B. Risk capacity is the financial ability to absorb loss, while risk tolerance is willingness to accept uncertainty.

Question 2

For a fully invested portfolio, the expected return is calculated as:

A. The simple average of asset returns regardless of weights.

B. The weighted sum of expected asset returns.

C. The highest expected return among the assets.

D. Portfolio variance divided by portfolio volatility.

Correct Answer: B. The weighted sum of expected asset returns.

Question 3

What is the primary purpose of strategic asset allocation?

A. To make daily predictions about security prices.

B. To establish a long-term policy mix consistent with objectives and constraints.

C. To eliminate all portfolio losses.

D. To replace the need for an investment policy statement.

Correct Answer: B. To establish a long-term policy mix consistent with objectives and constraints.

Question 4

A bond has modified duration of 6. If its yield rises by 1 percentage point, the approximate price change, ignoring convexity, is:

A. +6%

B. +0.6%

C. −6%

D. −0.6%

Correct Answer: C. −6%

Question 5

If a pension fund has assets of 90 million and liabilities of 100 million, its funded ratio is:

A. 0.90

B. 1.10

C. 10.00

D. −10 million

Correct Answer: A. 0.90

Question 6

Which portfolio is most directly designed to hedge the timing and amount of known liabilities?

A. A concentrated equity portfolio

B. A cash-flow-matching portfolio

C. A momentum portfolio

D. A portfolio invested only in commodities

Correct Answer: B. A cash-flow-matching portfolio

Question 7

What does tactical asset allocation normally involve?

A. Permanent replacement of the strategic policy

B. Temporary deviations from strategic weights within defined limits

C. Investing without benchmarks or constraints

D. Holding only cash during market uncertainty

Correct Answer: B. Temporary deviations from strategic weights within defined limits

Question 8

The change in investment surplus is represented by:

A. ∆S = ∆A − ∆L

B. ∆S = ∆A + ∆L

C. ∆S = A/L

D. ∆S = L − A

Correct Answer: A. ∆S = ∆A − ∆L

Question 9

Which statement about scenario analysis is correct?

A. It is a guaranteed forecast of portfolio returns.

B. It examines outcomes under specified conditions and helps identify vulnerabilities.

C. It eliminates model risk.

D. It should use only historical data.

Correct Answer: B. It examines outcomes under specified conditions and helps identify vulnerabilities.

Question 10

Why may leverage in a liability-driven investment strategy create additional risk?

A. It guarantees that liabilities will decline.

B. It can create collateral and margin-call requirements during market stress.

C. It removes interest-rate sensitivity from all assets.

D. It prevents forced selling under every circumstance.

Correct Answer: B. It can create collateral and margin-call requirements during market stress.