Fixed-Income Portfolio Construction and ManagementIntroduction and ContextFixed-income portfolio management is the disciplined process of combining bonds and related instruments to achieve specified return, income, liquidity, risk, and liability objectives. Unlike an individual bond, whose cash flows and maturity are largely predetermined, a portfolio is a dynamic system. Its risk depends not only on the characteristics of each security but also on correlations, concentration, reinvestment opportunities, benchmark composition, liquidity, taxation, derivatives, and changes in the investor’s obligations. A graduate-level understanding of fixed-income portfolio management therefore requires more than calculating yield to maturity. The portfolio manager must translate an investment mandate into measurable constraints, select an appropriate benchmark, identify sources of risk and return, construct a portfolio, monitor exposures, attribute performance, and rebalance when market conditions or investor objectives change. The central management problem can be expressed as: Choose portfolio weights w to maximize expected utility subject to risk, liquidity, regulatory, and liability constraints. Here, w is the vector of portfolio weights. In practice, expected utility may incorporate expected excess return, volatility, downside risk, transaction costs, and the probability of failing to meet liabilities. Learning ObjectivesBy the end of this chapter, the reader should be able to: - Distinguish passive, indexed, active, liability-driven, and immunization approaches.
- Construct and compare bullet, barbell, ladder, cash-flow-matching, carry, and roll-down portfolios.
- Use duration, convexity, key-rate duration, spread duration, and tracking error in portfolio decisions.
- Formulate practical constraints involving liquidity, credit quality, concentration, leverage, and derivatives.
- Attribute portfolio performance to duration, yield-curve, spread, sector, security-selection, and currency decisions.
- Evaluate governance, implementation, technology, and ethical issues in fixed-income management.
1. The Portfolio Construction FrameworkA sound construction process normally follows six stages: - Define objectives. Examples include preserving capital, generating income, exceeding a benchmark, funding pensions, or minimizing the probability of liability shortfall.
- Specify constraints. These may include minimum credit ratings, maximum issuer exposure, duration ranges, liquidity requirements, tax rules, currency limits, and responsible-investment restrictions.
- Select the opportunity set. The manager determines eligible governments, corporates, agencies, securitized assets, emerging-market debt, derivatives, and cash instruments.
- Choose a benchmark or liability reference. A benchmark provides a comparative standard; liabilities provide a cash-flow and risk reference.
- Allocate risk and capital. Portfolio weights, duration, curve exposures, spread exposures, and sector allocations are selected.
- Monitor, attribute, and rebalance. Actual outcomes are compared with objectives, and deviations are corrected when justified.
A portfolio mandate should state both what the manager seeks to do and what the manager is prohibited from doing. A vague instruction such as “maximize bond returns” is not operational. A usable mandate might specify a benchmark, a target tracking-error range, a duration band, permitted securities, minimum average credit quality, liquidity requirements, and a rebalancing policy. Portfolio Return and IncomeFor a portfolio containing securities i = 1, 2, …, n, the holding-period return is approximately: RP = (V1 − V0 + I − C) ÷ V0 where V0 is beginning market value, V1 is ending market value, I is coupon and other income received, and C represents transaction costs and fees. The formula assumes that cash flows are measured consistently and that income is not double-counted in ending value. The portfolio’s market-value weight in security i is: wi = Vi ÷ ∑j=1n Vj If returns are measured over the same period and the portfolio is unlevered, portfolio return is the value-weighted sum of constituent returns: RP = ∑i=1n wi Ri This identity does not imply that risk is the weighted average of individual risks. Correlations matter. For two assets: σP² = w1²σ1² + w2²σ2² + 2w1w2ρ12σ1σ2 where σ denotes standard deviation and ρ12 the return correlation. The equation assumes returns are measured over the same horizon and that variances and covariances are stable enough to be useful estimates. 2. Benchmarks, Constraints, and Risk BudgetsBenchmark SelectionA benchmark should be investable or at least measurable, transparent, representative of the mandate, and stable enough for evaluation. Important design choices include: - government-only versus broad aggregate exposure;
- maturity and duration range;
- credit-rating eligibility;
- currency and hedging treatment;
- market-value weighting versus alternative weighting;
- treatment of fallen angels, defaults, and new issuance;
- rebalancing frequency and pricing sources.
A benchmark is not automatically a suitable portfolio objective. A broad index may contain securities that are difficult to purchase, illiquid, or inconsistent with a fund’s liabilities. Benchmark drift, index turnover, and index-provider methodology can also create unintended trading costs. Common Constraints| Constraint | Typical purpose | Example expression |
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| Duration | Control interest-rate exposure | 4 ≤ portfolio duration ≤ 6 | | Credit quality | Limit default and downgrade risk | Average rating ≥ A | | Issuer concentration | Reduce idiosyncratic risk | Issuer weight ≤ 3% | | Liquidity | Meet redemptions or operating needs | Liquid assets ≥ 10% | | Sector | Prevent excessive structural exposure | Corporate weight ≤ 40% | | Tracking error | Control active risk | Expected TE ≤ 2% | | Leverage | Limit financing and derivative risk | Notional leverage ≤ stated limit | | ESG or legal | Meet mandate and regulation | Exclude prohibited issuers |
Constraints can be hard, meaning they cannot be violated, or soft, meaning a violation is permitted at a stated cost. Optimization without realistic constraints can generate extreme and economically implausible portfolios. Duration and ConvexityFor a small parallel change in yield, the approximate percentage price change of a bond is: ∆P ÷ P ≈ −Dmod∆y + ½C(∆y)² where Dmod is modified duration in years, C is convexity in years squared, and ∆y is the change in yield expressed as a decimal. The approximation assumes a small, parallel yield-curve shift and unchanged credit spreads, embedded-option values, and cash flows. For a portfolio, market-value-weighted duration and convexity are commonly used approximations, although securities with options require effective rather than purely modified measures. Macaulay duration is the present-value-weighted average time to receive a bond’s promised cash flows. Modified duration adjusts Macaulay duration for yield compounding. Effective duration estimates price sensitivity when cash flows may change because of embedded options. Key-rate duration decomposes interest-rate sensitivity by maturity point. It is essential when the yield curve twists or bends rather than moving in parallel. A portfolio with low effective duration can still have substantial exposure to a particular five-year or thirty-year key rate. Spread and Credit RiskFor credit portfolios, total price sensitivity is not explained by government-yield duration alone. Spread duration measures sensitivity to a change in credit spread. A simplified decomposition is: ∆P ÷ P ≈ −Dy∆y − Ds∆s + ½Cy(∆y)² where Dy is yield duration, Ds is spread duration, ∆s is the change in spread, and Cy is yield convexity. The decomposition assumes that yield and spread effects can be separated locally and that default losses, recovery changes, liquidity premia, and nonlinear option effects are either immaterial or modeled separately. 3. Passive and Indexed ManagementPassive management seeks to obtain the risk and return characteristics of a benchmark at low cost. Exact full replication is often impractical because an index may contain thousands of bonds, many of which trade infrequently. Managers therefore use sampling, stratified sampling, or optimization. A stratified approach matches important index characteristics such as duration, key-rate exposure, rating, sector, maturity, and issuer concentration. Optimization minimizes a tracking objective subject to constraints. A simple form is: Minimize TE² = (w − b)'Σ(w − b) where w is the portfolio-weight vector, b is the benchmark-weight vector, and Σ is a covariance matrix. This expression measures ex ante active-risk variance under a model of covariance. It does not capture all sources of tracking difference, such as transaction costs, stale prices, cash drag, tax, or index reconstitution effects. Index managers must manage: - sampling error;
- transaction costs during index changes;
- cash flows and redemptions;
- corporate actions and defaults;
- pricing differences between portfolio and index;
- securities lending and collateral risk.
Passive does not mean risk-free. An aggregate bond index can contain significant duration, issuer, sector, liquidity, and downgrade exposure. It also embeds a rule-based decision to hold more debt from issuers with greater outstanding market value. 4. Active Management and Performance ObjectivesActive managers seek returns different from the benchmark through duration, yield-curve, sector, security-selection, spread, liquidity, currency, or optionality decisions. Active risk should be deliberate rather than accidental. A useful distinction is between top-down and bottom-up decisions. Top-down managers form views on monetary policy, inflation, growth, curve shape, and credit cycles. Bottom-up analysts assess issuer financial strength, covenants, collateral, recovery prospects, and relative value. Active management is constrained by uncertainty. A manager may have a strong economic view but poor timing, or may identify a mispriced bond but be unable to trade it at the modeled price. Therefore, expected alpha should be evaluated net of transaction costs, financing costs, taxes, and model risk. Tracking error is the standard deviation of active returns: TE = √Var(RP − RB) where RP is portfolio return and RB benchmark return. The information ratio is often written as: IR = E(RP − RB) ÷ TE It is meaningful only when the expected active return and tracking error are estimated over compatible horizons and using comparable return conventions. A high historical information ratio may reflect luck, survivorship bias, or an unstable strategy. 5. Liability-Driven Investing and ImmunizationLiability-driven investing (LDI) begins with the timing, amount, currency, inflation sensitivity, and uncertainty of liabilities. Assets are then selected to hedge the economic behavior of those liabilities while preserving sufficient liquidity and return potential. A liability portfolio can be represented through: - present value of liabilities;
- liability duration and key-rate durations;
- inflation sensitivity;
- currency exposure;
- credit and liquidity needs;
- probability distribution of future payments.
Classical ImmunizationClassical immunization attempts to ensure that asset value is relatively insensitive to small parallel yield changes and that assets support liabilities over a defined horizon. For a single liability date, a basic matching condition is: PVA = PVL and, in a duration-based framework: DA = DL where PVA and PVL are the present values of assets and liabilities, and DA and DL are their durations. A convexity condition is often added: CA ≥ CL These conditions are local approximations. Immunization can fail under nonparallel curve movements, large rate changes, changing liability assumptions, credit deterioration, defaults, taxes, transaction costs, or asset cash flows that cannot be reinvested at assumed rates. For multiple liabilities, key-rate matching is generally superior to a single duration match. Rebalancing is required because asset duration changes with time and liability estimates change with demographics, inflation, salary assumptions, mortality, and interest rates. 6. Cash-Flow Matching and Dedicated PortfoliosCash-flow matching selects assets whose contractual cash flows cover liabilities in each relevant period. If At is asset cash flow and Lt is liability cash flow at date t, the basic condition is: At ≥ Lt for every required date t This approach minimizes dependence on reinvestment returns for matched payments. It is strongest when liabilities are known, securities are held to maturity, and default risk is controlled. It can be expensive because matching may require purchases at many maturities and may sacrifice liquidity or return. A practical dedicated portfolio often combines exact matching for near-term liabilities with duration or key-rate hedging for longer and less certain obligations. Callable bonds should not be treated as fixed cash-flow instruments without modeling call behavior. 7. Maturity-Structure StrategiesBullet StrategyA bullet portfolio concentrates maturities around a target date. It is appropriate when a known liability or investment horizon dominates. Its advantages include simple planning and concentrated horizon exposure. Its disadvantages include reinvestment concentration and sensitivity to errors in the target date. Barbell StrategyA barbell combines short- and long-maturity securities while holding relatively little in the intermediate sector. It may provide liquidity at the short end and duration or convexity at the long end. A barbell can outperform a bullet when the curve changes favorably, but it may underperform if intermediate maturities offer superior carry or if long-end volatility is high. Ladder StrategyA ladder distributes maturities across successive dates. As bonds mature, proceeds are reinvested at the long end or according to a stated rule. Ladders provide predictable liquidity, reduce the risk of investing everything at one yield level, and simplify cash-flow planning. They may sacrifice tactical opportunities and can be inefficient for investors with highly concentrated liabilities. The choice among bullet, barbell, and ladder is not merely a forecast about the yield curve. It is also a decision about liquidity, reinvestment risk, convexity, cash-flow certainty, and governance capacity. 8. Carry and Roll-Down StrategiesCarry is the expected return from holding a bond over a period, assuming specified financing, default, spread, and curve conditions. It may include coupon income, accrued interest, financing effects, and the effect of the bond’s price if yields remain unchanged. Roll-down is the price effect arising when a bond moves to a shorter maturity point on an unchanged yield curve. It can be attractive on an upward-sloping curve, but only if the curve remains sufficiently stable and the security does not experience offsetting spread or credit changes. Carry and roll-down are not free returns. They are compensation for risks, including duration risk, curve risk, spread widening, downgrade risk, liquidity risk, and model error. A bond with high apparent carry may be exposed to a deteriorating issuer or an unstable curve segment. A disciplined carry analysis should separately identify: - coupon and accrued income;
- expected price change from roll-down;
- financing cost;
- expected default and recovery loss;
- expected spread movement;
- transaction and liquidity costs.
9. Sector Rotation and Relative ValueSector rotation reallocates risk among government, agency, corporate, mortgage-backed, asset-backed, municipal, emerging-market, and other sectors. Decisions may be based on valuation, economic-cycle expectations, liquidity, policy, expected default rates, and relative spread compensation. A sector decision should not rely only on nominal spread. The manager should consider spread duration, option-adjusted spread, downgrade and default probabilities, recovery, liquidity, and correlation with existing holdings. Mortgage-backed securities, for example, contain prepayment and negative-convexity risk; corporate bonds contain issuer and sector risk; emerging-market bonds may add currency and political risk. Relative-value analysis compares securities or sectors after adjusting for differences in duration, convexity, rating, liquidity, optionality, and expected loss. A high spread is not necessarily cheap if it compensates for hidden risks. 10. Portfolio Implementation and RebalancingImplementation converts target exposures into executable trades. The manager must consider bid–ask spreads, market depth, dealer capacity, settlement, tax lots, financing, and information leakage. Portfolio construction should distinguish target weights from feasible weights. Rebalancing policies may be: - calendar-based;
- threshold-based;
- liability-triggered;
- risk-budget-based;
- opportunistic.
Threshold rebalancing can be written conceptually as: trade when the actual exposure leaves an approved interval around its target. Rebalancing too frequently increases costs; rebalancing too rarely allows unintended risk accumulation. Governance should specify who can override the policy and how exceptions are documented. Derivatives can adjust duration, curve exposure, credit beta, or currency risk efficiently. However, derivatives introduce collateral, counterparty, basis, liquidity, legal, and model risks. Notional value is not the same as market exposure; exposure should be measured through sensitivities, stress tests, and potential future exposure where relevant. 11. Performance Measurement and AttributionPerformance evaluation should separate investment skill from market exposure and implementation effects. At minimum, the manager should report total return, benchmark return, active return, duration, spread exposure, tracking error, turnover, and risk-adjusted results. A fixed-income attribution framework may decompose active return into: - yield-curve or duration positioning;
- key-rate curve positioning;
- sector allocation;
- spread and credit beta;
- security selection;
- carry and roll-down;
- currency and hedging;
- transaction costs;
- residual or interaction effects.
Attribution is not unique. Results depend on the benchmark, return calculation, timing convention, pricing source, and allocation order. A mathematically complete attribution should reconcile to active return: RP − RB = ∑ Contributionsk + Residual A large residual indicates that the methodology or data requires investigation. Attribution should be used diagnostically, not as proof of skill. Persistent excess return after costs, under controlled risk and across changing environments, is more informative than one favorable period. Stress testing complements historical attribution. Scenarios may include a parallel 200-basis-point rise, a bear steepener, a bull flattener, severe spread widening, rapid inflation, a liquidity shock, or a currency devaluation. Historical scenarios are useful but incomplete because future shocks may differ from past events. 12. Illustrative Case: A Pension Fund’s Intermediate-Term MandateBackground. The fictional Northbridge Pension Fund has a five-year stream of partially predictable nominal benefit payments. It currently holds a broad bond index but has experienced funding-ratio volatility when long-term yields and credit spreads move differently. Problem. The index portfolio has a duration of 6.8 years, while the liability portfolio has an estimated duration of 5.4 years. Key-rate analysis also shows that assets are underexposed at seven years and overexposed at thirty years. The fund requires at least 12% in assets that can be liquidated within five business days. Analysis. A simple duration match would reduce the gap but would not correct the curve-shape exposure. The investment committee also finds that corporate bonds provide useful income but introduce spread risk that is not present in nominal liabilities. Approach. The fund adopts a two-part structure: - A liability-hedging portfolio containing high-quality government and investment-grade bonds, selected to match liability key rates and near-term cash flows.
- A return-seeking portfolio containing diversified credit, securitized assets, and a controlled allocation to active sector opportunities.
The hedging portfolio is rebalanced when aggregate duration deviates by more than 0.25 years or when a key-rate exposure exceeds its approved range. Cash-flow matching is used for the next two years of expected benefits. Longer liabilities are managed through key-rate duration and convexity targets. Interest-rate futures are permitted for temporary adjustments, subject to collateral and counterparty limits. Outcome. The revised structure reduces unintended thirty-year exposure, improves coverage of near-term benefits, and makes the source of active risk explicit. It does not eliminate funding-ratio risk: inflation, longevity, wage assumptions, credit spreads, and asset-liability basis risk remain. Learning points. First, duration matching alone can conceal curve risk. Second, LDI is a governance system, not merely a bond-purchasing exercise. Third, separating hedging and return-seeking objectives improves accountability. Fourth, liquidity must be tested under stressed—not only normal—market conditions. 13. Governance, Ethics, and Contemporary PracticeFixed-income managers have fiduciary duties to act in the client’s best interests, apply consistent valuation procedures, disclose conflicts, and avoid misleading performance claims. Important controls include independent pricing, best-execution review, trade allocation policies, restricted lists, gifts and entertainment rules, and documentation of model changes. ESG integration can be relevant when environmental, social, or governance factors affect default probability, recovery, regulation, litigation, or long-term cash flows. It should not be presented as a guaranteed source of outperformance. Exclusions and sustainability labels must be defined transparently to prevent greenwashing. Technology increasingly supports portfolio construction through optimization, scenario analysis, natural-language processing, automated covenant extraction, and machine-learning forecasts. AI tools can process large datasets, but their outputs may reflect biased training data, unstable relationships, look-ahead bias, or opaque assumptions. Human oversight is essential for model validation, explainability, data governance, cybersecurity, and decisions involving illiquid securities. Contemporary practice also emphasizes climate-transition risk, private credit, portfolio liquidity under redemptions, central clearing, collateral management, and the interaction between passive index flows and bond-market market-making. These developments reinforce a central principle: portfolio design must integrate return, risk, liquidity, liability, and operational considerations rather than optimize any single metric. Challenges and LimitationsNo strategy dominates in all environments. Passive portfolios inherit benchmark construction flaws. Active strategies face fees, turnover, model risk, and crowded trades. Immunization depends on assumptions about liabilities and yield-curve behavior. Cash-flow matching can be costly and inflexible. Barbell, bullet, and ladder strategies are exposed to different reinvestment and curve risks. Carry and roll-down can disguise uncompensated credit or liquidity exposure. Attribution can create false confidence when data and benchmarks are poor. The most important limitation is parameter uncertainty. Duration, spread duration, default probability, correlations, and expected returns are estimates, not facts. Robust management therefore uses ranges, scenario analysis, liquidity reserves, independent challenge, and explicit escalation procedures. Best-Practice ChecklistA professionally managed fixed-income portfolio should: - define objectives in measurable terms;
- select a benchmark consistent with the mandate;
- measure duration, convexity, key-rate, spread, liquidity, and concentration risk;
- distinguish hedging assets from return-seeking assets;
- evaluate carry after financing, expected loss, and transaction costs;
- test nonparallel curve and spread scenarios;
- reconcile performance attribution to actual returns;
- document rebalancing and exception policies;
- validate pricing, models, data, and AI-supported decisions;
- review governance, conflicts, regulatory compliance, and client reporting.
Chapter SummaryFixed-income portfolio construction begins with objectives, constraints, eligible assets, and an appropriate benchmark or liability reference. Passive and indexed strategies seek controlled benchmark exposure, while active strategies deliberately accept tracking error in pursuit of excess return. LDI, immunization, and cash-flow matching focus on meeting liabilities through present-value, duration, key-rate, convexity, and cash-flow relationships. Bullet, barbell, and ladder structures distribute maturity and reinvestment risk differently. Carry and roll-down can contribute to return but must be evaluated alongside duration, spread, liquidity, default, and financing risks. Sector rotation and relative-value strategies require comparison after adjusting for credit, optionality, liquidity, and sensitivity differences. Effective management also requires realistic constraints, disciplined implementation, attribution that reconciles to performance, stress testing, robust governance, and careful oversight of technology and AI. Key TermsActive management: Deliberate deviation from a benchmark to seek excess return. Barbell: Portfolio concentrated in short- and long-maturity securities. Benchmark: Reference portfolio used to define and evaluate investment exposure. Bullet: Portfolio concentrated around a target maturity or duration. Carry: Expected income and related return from holding a position under specified assumptions. Cash-flow matching: Selecting assets whose cash flows cover liabilities at required dates. Convexity: Measure of the curvature of the price–yield relationship. Duration: Measure of a bond or portfolio’s sensitivity to interest-rate changes. Immunization: Strategy designed to protect the ability of assets to meet liabilities against specified rate changes. Information ratio: Expected active return divided by tracking error. Key-rate duration: Sensitivity to a yield change at a specific maturity point. Ladder: Portfolio distributing maturities across successive dates. Liability-driven investing: Management that begins with liability characteristics and hedges their economic risks. Roll-down: Price effect from a security moving to a shorter maturity point on an unchanged curve. Sector rotation: Reallocation among fixed-income sectors based on valuation or macroeconomic views. Spread duration: Sensitivity of price to a change in credit spread. Tracking error: Volatility of portfolio return relative to benchmark return. Yield-curve risk: Risk arising from changes in the level, slope, or curvature of interest rates. Review Questions5 Short Answer Questions- Why is a benchmark an important component of a fixed-income mandate?
- Distinguish modified duration from effective duration.
- What is the principal objective of cash-flow matching?
- State two differences between a bullet and a ladder portfolio.
- Why can carry and roll-down fail to produce realized excess return?
5 Long Answer Questions- Explain the portfolio construction process from mandate definition through rebalancing.
- Compare passive indexing, active management, and enhanced indexing in terms of objectives, risks, and implementation.
- Explain how duration, convexity, and key-rate duration are used in immunization.
- Evaluate the advantages and limitations of barbell, bullet, and ladder strategies.
- Discuss how a fixed-income manager should design a performance-attribution system.
3 Analytical / Application Questions- A portfolio has duration 5.5 and convexity 42. Estimate its percentage price change if yields rise by 75 basis points, assuming a small parallel shift and unchanged spreads. Explain the limitations of the estimate.
- A pension fund’s assets have duration 7.0 years and liabilities have duration 5.0 years. Develop a qualitative rebalancing plan that also considers key-rate exposure, liquidity, credit spread risk, and transaction costs.
- Design a benchmark and constraint framework for an investment-grade corporate bond portfolio intended to fund irregular withdrawals. Justify the choices of duration range, issuer limits, liquidity minimum, tracking-error limit, and attribution categories.
Multiple Choice Questions with AnswersQuestion 1Which condition is most directly associated with classical duration-based immunization? A. Asset present value equals liability present value and asset duration equals liability duration B. Asset yield is always higher than liability yield C. Portfolio maturity equals the longest liability maturity D. All assets are invested in zero-coupon bonds Correct Answer: A. Asset present value equals liability present value and asset duration equals liability duration Question 2A portfolio has modified duration 4.0 and yields rise by 0.50%, ignoring convexity. What is the approximate percentage price change? A. +2.0% B. −2.0% C. −0.125% D. +0.125% Correct Answer: B. −2.0% Question 3What is the principal purpose of a cash-flow-matching strategy? A. Maximize benchmark tracking error B. Cover required liabilities with asset cash flows at specified dates C. Concentrate maturities in one target year D. Increase exposure to callable securities Correct Answer: B. Cover required liabilities with asset cash flows at specified dates Question 4Which portfolio structure distributes maturities across successive dates? A. Bullet B. Barbell C. Ladder D. Zero-duration portfolio Correct Answer: C. Ladder Question 5Tracking error is best defined as: A. The average coupon of the portfolio B. The volatility of portfolio return relative to benchmark return C. The difference between book value and market value D. The probability of issuer default Correct Answer: B. The volatility of portfolio return relative to benchmark return Question 6Which risk is specifically measured by key-rate duration? A. Sensitivity to a yield change at a particular maturity point B. Sensitivity to an issuer’s accounting earnings C. Sensitivity to equity dividends D. Sensitivity to settlement delay only Correct Answer: A. Sensitivity to a yield change at a particular maturity point Question 7A barbell portfolio generally combines: A. Only intermediate-maturity securities B. Short- and long-maturity securities C. Only floating-rate securities D. Only securities from one issuer Correct Answer: B. Short- and long-maturity securities Question 8Which item should normally be deducted or incorporated when evaluating realized carry? A. Financing and transaction costs B. The benchmark’s legal name C. The bond’s par-value denomination only D. The number of portfolio analysts Correct Answer: A. Financing and transaction costs Question 9Which attribution category measures the effect of choosing one corporate issuer rather than another within a sector? A. Security selection B. Cash-flow matching C. Liability duration D. Index eligibility Correct Answer: A. Security selection Question 10Why can a passive bond index still contain significant risk? A. Passive portfolios are guaranteed to lose money B. Index exposure can include duration, credit, sector, liquidity, and concentration risks C. Passive portfolios cannot hold government securities D. Index weights never change Correct Answer: B. Index exposure can include duration, credit, sector, liquidity, and concentration risks
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