Security Analysis & Portfolio Management

Chapter 13
Portfolio Implementation, Monitoring and Performance Evaluation

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Security Analysis & Portfolio Management   •   Bachelor

Portfolio Implementation, Monitoring and Performance Evaluation

Introduction

Portfolio construction does not end when an asset allocation decision is approved. A portfolio becomes an investable financial product only when securities are purchased, orders are executed, cash and collateral are managed, risks are controlled, and results are measured against clearly defined objectives. Implementation therefore links investment theory with the operational, legal, tax and behavioural realities of markets.

Portfolio implementation involves translating an investment policy statement into actual holdings. It includes security selection, trade scheduling, broker choice, liquidity management, transaction-cost control and tax-aware decisions. Monitoring determines whether the portfolio remains consistent with its mandate. Performance evaluation assesses both the outcome and the decisions that produced it. A high return may result from skill, market exposure or luck; professional evaluation seeks to distinguish among these possibilities.

This chapter examines active, passive, factor and core–satellite implementation; security selection; transaction costs; liquidity; taxes; rebalancing; risk controls; performance measures; attribution; benchmarking; and professional reporting.

Learning Objectives

After studying this chapter, students should be able to:

  1. Explain how an investment policy is translated into portfolio holdings and trades.
  2. Compare active, passive, factor and core–satellite implementation strategies.
  3. Evaluate the effects of transaction costs, liquidity, taxes and market impact.
  4. Design a disciplined rebalancing and risk-control process.
  5. Calculate and interpret Sharpe, Treynor, Sortino and information ratios.
  6. Distinguish time-weighted from money-weighted returns.
  7. Apply performance attribution and select appropriate benchmarks.
  8. Prepare a professional portfolio-monitoring and performance report.

1. From Investment Policy to Investable Portfolio

An investment policy statement (IPS) normally specifies the client’s objectives, risk tolerance, time horizon, liquidity requirements, tax position, legal constraints and strategic asset allocation. Implementation converts the IPS into an implementation plan. The plan identifies eligible securities, portfolio weights, trading restrictions, execution methods, cash requirements, rebalancing rules and monitoring responsibilities.

A useful implementation sequence is:

  1. Confirm the mandate, benchmark, constraints and required return.
  2. Establish the strategic and, where permitted, tactical asset allocation.
  3. Determine target security weights and permissible ranges.
  4. Assess liquidity, trading costs, taxes and operational requirements.
  5. Generate orders and determine their timing and execution method.
  6. Reconcile executed trades, cash, holdings and corporate actions.
  7. Monitor exposures, compliance and performance.
  8. Rebalance or revise the portfolio when rules or circumstances require it.

The distinction between a target portfolio and an implemented portfolio is important. The target portfolio is an investment design; the implemented portfolio is affected by bid–ask spreads, price movements, partial fills, taxes, cash flows and settlement delays.

Strategic and tactical decisions

Strategic allocation expresses long-term risk and return preferences. Tactical allocation temporarily deviates from strategic weights in response to valuation, economic conditions or risk views. Tactical decisions should be documented because otherwise temporary deviations can become uncontrolled active bets.

Security selection operates below asset allocation. For example, a manager may decide to hold 60% equities and 40% bonds, then select particular equity industries and individual securities within those categories. Performance should be evaluated at both levels: allocation and selection.

2. Implementation Styles

Active implementation

An active manager deliberately differs from the benchmark to seek superior risk-adjusted returns. Active decisions may concern asset class weights, sectors, countries, duration, credit quality, currencies or individual securities. Active management requires a repeatable source of expected excess return, such as superior research, information processing, valuation skill or execution capability.

Active management creates active risk, commonly measured by tracking error. It also creates turnover, research expenses, transaction costs and the possibility of behavioural error. An active strategy should therefore be judged not simply by whether it beats the benchmark, but by whether its excess return compensates for its risk and costs.

Passive implementation

A passive portfolio seeks to replicate the return and risk characteristics of a specified index. Full replication purchases all index constituents in their index weights. Sampling selects a representative subset, which may be useful when an index contains many illiquid securities. Synthetic replication uses derivatives or swaps and introduces counterparty and collateral risks.

A passive portfolio will not normally equal the index return because of management fees, transaction costs, withholding taxes, cash drag, rebalancing differences and index-reconstitution effects. The difference between portfolio return and benchmark return is often called tracking difference. Tracking error describes the variability of that difference.

Factor implementation

Factor investing systematically targets characteristics associated with differences in average returns or risk. Common factors include value, size, momentum, quality, low volatility and carry. A factor portfolio may be implemented through rules-based security selection, an exchange-traded fund, an index fund or a separately managed account.

Factor exposure must be distinguished from a guarantee of outperformance. Factors can underperform for long periods, become crowded, change their behaviour across markets and incur substantial turnover. A factor strategy should specify its definitions, portfolio construction rules, exposure limits, turnover expectations and rebalancing frequency.

Core–satellite implementation

A core–satellite portfolio combines a relatively low-cost, diversified core with smaller satellite allocations. The core may track broad market indices, while satellites express active, factor, thematic or alternative views. The structure can reduce the cost of obtaining broad market exposure while preserving room for active decisions.

The satellite allocation should be controlled by explicit limits. Without limits, multiple satellites may create hidden concentration in the same sector, country, currency or factor. The overall portfolio—not each satellite in isolation—must be assessed for risk.

ApproachMain objectiveTypical strengthMain risk
ActiveBeat a benchmarkFlexibility and research-based decisionsCosts, manager error and underperformance
PassiveReplicate an indexLow cost and transparencyTracking difference and index concentration
FactorObtain systematic factor exposureRules-based disciplineFactor cycles, crowding and turnover
Core–satelliteCombine broad exposure and selective betsCost and flexibility balanceHidden aggregate exposures

3. Security Selection and Order Implementation

Security selection should be consistent with the portfolio’s mandate. Fundamental analysis may examine earnings, cash flows, balance-sheet strength, valuation and governance. Fixed-income selection may examine yield, duration, convexity, credit quality, liquidity and covenants. Quantitative selection may use pre-specified signals and risk constraints.

The selected security must also be implementable. A theoretically attractive security may be inappropriate if its trading volume is low, its bid–ask spread is wide, its settlement process is unreliable or its position would be too large relative to market liquidity.

Order types and execution

A market order prioritises execution certainty but not price certainty. A limit order specifies a maximum purchase price or minimum sale price but may not execute. Stop orders may be used for defined risk processes, although in fast markets the execution price can differ materially from the stop level. Algorithmic execution can divide a large order into smaller orders using time, volume or price rules.

The choice depends on urgency, liquidity, volatility, information leakage and the cost of non-execution. A manager should not treat the quoted price as the complete cost of trading. The relevant question is the total implementation shortfall: the difference between the return of the decision price and the realised, post-cost outcome.

Transaction costs

Transaction costs include explicit and implicit components:

  • commissions, exchange fees, taxes and custody charges;
  • bid–ask spread;
  • market impact caused by the portfolio’s own order;
  • delay cost caused by waiting to trade;
  • opportunity cost when an order is not completed; and
  • financing, settlement and foreign-exchange costs.

For a purchase, a simple proportional cost approximation is:

C = V × c

where C is estimated cost in currency units, V is transaction value, and c is the proportional cost rate. This approximation is useful for budgeting but does not fully model nonlinear market impact. The cost rate may increase with order size relative to normal trading volume and with volatility or illiquidity.

Turnover is a useful operational indicator. A common annual turnover measure is:

Turnover = min(Purchases, Sales) ÷ Average Net Assets

where purchases and sales are measured over the period. Some organisations use total purchases plus total sales divided by average assets; therefore the definition must be disclosed. Turnover is not itself a measure of skill: a high-turnover strategy may be justified, but it must generate sufficient gross benefit to cover its costs.

Liquidity management

Liquidity is the ability to buy or sell an asset quickly without a substantial price concession. Portfolio liquidity is affected by asset liquidity, position size, market conditions, settlement conventions and investor cash-flow needs. A portfolio can appear liquid in normal markets but become illiquid during stress.

A practical liquidity policy may include minimum cash, liquid-asset reserves, maximum position sizes, limits on securities with restricted markets, and stress tests for redemptions. Liquidity risk should be assessed under both ordinary and stressed assumptions.

4. Taxes and Rebalancing

Taxes influence the net return available to an investor. Relevant taxes may apply to dividends, interest, realised capital gains, financial transactions, withholding and estate transfers, depending on jurisdiction and investor status. Tax treatment should never be assumed from a general investment rule; it must be confirmed under applicable law.

Tax-aware implementation can include asset location, tax-loss harvesting where legally permissible, use of low-turnover vehicles, and selection of which holdings to sell during rebalancing. Tax considerations must not override the IPS, fiduciary duties or risk controls. A tax benefit is not valuable if it creates unacceptable investment risk.

Rebalancing

Rebalancing restores portfolio exposures toward target weights. Suppose the target weight of an asset is w^* and its current weight is w. The deviation is:

∆w = w − w^*

where ∆w is measured in percentage points or decimal weight units. A tolerance-band rule trades only when the absolute deviation reaches a specified boundary:

Rebalance if |∆w| ≥ band

A calendar rule rebalances at specified dates, while a threshold rule responds to deviations. A hybrid rule combines scheduled reviews with threshold triggers. Threshold rules may control risk more effectively but can increase turnover. Rebalancing should consider taxes, liquidity, transaction costs, cash flows and the possibility that the target itself has changed.

Cash flows can be used for low-cost rebalancing: new contributions are directed toward underweight assets and withdrawals are funded from overweight assets. This approach reduces unnecessary selling.

5. Risk Controls and Governance

Risk controls translate risk tolerance into enforceable limits. Important controls include:

  • maximum exposure to an issuer, sector, country or currency;
  • duration, spread-duration and credit-rating limits for bonds;
  • leverage, derivatives and collateral limits;
  • minimum liquidity and cash requirements;
  • concentration and counterparty limits;
  • tracking-error or active-risk budgets;
  • stop-loss or escalation procedures where appropriate; and
  • restrictions on prohibited securities or activities.

Controls should be monitored independently from portfolio decision-making where possible. Breaches should be classified as intentional, market-driven, operational or accidental. A breach report should identify the limit, magnitude, cause, responsible party, corrective action and deadline.

Governance also requires segregation of duties, best-execution policies, valuation controls, record retention, cybersecurity, business continuity and conflict-of-interest management. A manager must not trade client accounts to benefit another account, allocate favourable trades unfairly or conceal underperformance.

6. Monitoring the Implemented Portfolio

Monitoring is a continuous process rather than a single end-of-period calculation. A robust monitoring framework covers:

  1. Holdings: securities, quantities, prices, accrued income and cash.
  2. Exposure: asset class, sector, geography, currency, factor, duration and credit risk.
  3. Compliance: IPS limits, legal restrictions and mandate conditions.
  4. Liquidity: days to liquidate, cash needs and stressed-sale capacity.
  5. Performance: return, benchmark-relative return and risk-adjusted measures.
  6. Operations: settlement, corporate actions, pricing exceptions and data quality.

Monitoring frequency should match risk. Highly liquid public-equity mandates may be monitored daily, while some long-term private-market exposures require periodic valuation and additional cash-flow monitoring. Material events—such as a rating downgrade, redemption request, market closure or corporate action—should trigger event-based review.

Data quality is fundamental. Returns calculated from incorrect prices, missing dividends, inconsistent currencies or stale valuations can produce misleading conclusions. The reporting process should reconcile the portfolio accounting system, custodian records and performance system.

7. Return Measurement

Holding-period and periodic returns

For an investment without interim cash flows, the holding-period return is:

R = (P1 − P0 + D) ÷ P0

where P0 is beginning value, P1 is ending value, and D is income received during the period. All values must be measured consistently, including currency and treatment of accrued income.

For several subperiod returns, the time-weighted return compounds them:

RTWR = (1 + R1)(1 + R2) … (1 + Rn) − 1

Time-weighted return neutralises the effect of external cash flows by dividing the measurement period at each significant external cash flow. It is generally appropriate for evaluating an investment manager’s decisions because the manager does not usually control the timing of client contributions and withdrawals.

Money-weighted return, commonly calculated as an internal rate of return, reflects both investment performance and the timing and size of external cash flows. It is useful for evaluating the investor’s experience or a portfolio where the manager controls cash-flow timing. The rate r solves:

0 = Σ CFt ÷ (1 + r)t

where CFt is the cash flow at time t, with a consistent sign convention. Because it depends on cash-flow timing, it should not normally be used alone to compare managers.

Annualisation

If a periodic return Rp covers m equal periods per year, the annualised return is:

Ra = (1 + Rp)m − 1

The formula assumes reinvestment and equal period lengths. Annualisation should not be applied mechanically to very short or unusual periods when it would create a misleading impression of sustainable performance.

8. Risk-Adjusted Performance Measures

Let Rp denote portfolio return, Rf the risk-free return, βp portfolio beta relative to a chosen market benchmark, σp the standard deviation of portfolio returns, σd downside deviation, and αp portfolio active return relative to a benchmark.

Sharpe ratio

Sharpe = (Rp − Rf) ÷ σp

The Sharpe ratio measures excess return per unit of total volatility. Returns and the risk-free rate must use the same period and frequency. It is most informative when returns are reasonably comparable, the risk-free asset is appropriate, and volatility is a meaningful risk measure. It can be distorted by skewness, illiquidity, serial correlation and non-normal returns.

Treynor ratio

Treynor = (Rp − Rf) ÷ βp

The Treynor ratio measures excess return per unit of systematic market risk. It is suitable mainly for a well-diversified portfolio in which unsystematic risk is not material. Beta depends on the selected benchmark and estimation period.

Sortino ratio

Sortino = (Rp − RMAR) ÷ σd

Here RMAR is the minimum acceptable return and σd measures only returns below the chosen target. One common sample definition is:

σd = √[Σ min(0, Rt − MAR)2 ÷ N]

where Rt is the return in period t and N is the number of observations. Different conventions use only below-target observations in the denominator; the convention must be disclosed. Sortino is useful when downside risk is more relevant than upside variability.

Information ratio

IR = (Rp − Rb) ÷ TE

where Rb is benchmark return and TE is tracking error, commonly the standard deviation of active returns (Rp − Rb). The information ratio evaluates benchmark-relative skill per unit of active risk. It is meaningful only when the benchmark is appropriate, investable and consistently measured.

Illustration. Assume annual portfolio return is 10%, risk-free return is 4%, standard deviation is 12%, beta is 1.1, minimum acceptable return is 3%, downside deviation is 8%, benchmark return is 8%, and tracking error is 5%. Then:

  • Sharpe ratio = (10% − 4%) ÷ 12% = 0.50.
  • Treynor ratio = (10% − 4%) ÷ 1.1 ≈ 5.45 percentage points per beta unit.
  • Sortino ratio = (10% − 3%) ÷ 8% = 0.875.
  • Information ratio = (10% − 8%) ÷ 5% = 0.40.

These measures answer different questions and should not be ranked without considering the mandate and risk definition.

9. Attribution and Benchmarking

Performance attribution explains why a portfolio differed from its benchmark. A basic equity attribution separates allocation and selection effects. Let wpi and wbi be portfolio and benchmark weights for segment i, and let Rpi and Rbi be their returns. A simplified allocation effect is:

Allocationi = (wpi − wbi)(Rbi − Rb)

where Rb is the total benchmark return. A simplified selection effect is:

Selectioni = wbi(Rpi − Rbi)

A cross-product interaction term may be reported separately:

Interactioni = (wpi − wbi)(Rpi − Rbi)

The exact decomposition depends on the attribution method, such as Brinson–Fachler or Brinson–Hood–Beebower. The method, treatment of cash, currency, fees and residuals must be disclosed. Fixed-income attribution may separately analyse duration, yield-curve positioning, spread, sector, security selection and currency effects.

A benchmark should be:

  • unambiguous and measurable;
  • appropriate to the mandate and risk exposure;
  • specified in advance;
  • investable or reasonably replicable;
  • consistent with the manager’s opportunity set; and
  • available at the required frequency.

A blended benchmark may be appropriate for a multi-asset portfolio. Benchmark changes should be documented and should not be made merely to improve historical appearance.

10. Professional Reporting Standards

A professional report should enable a reader to understand performance, risk, decisions and limitations. It commonly includes:

  • reporting period and valuation date;
  • portfolio and benchmark returns;
  • gross and net returns, with fee treatment explained;
  • time-weighted methodology and cash-flow treatment;
  • risk measures and their estimation periods;
  • asset allocation and major exposures;
  • attribution of active return;
  • transaction costs and turnover;
  • compliance and material breaches;
  • liquidity and valuation commentary; and
  • relevant disclosures, assumptions and limitations.

Global Investment Performance Standards (GIPS) provide widely recognised principles for fair representation and comparability, including composite construction, consistent calculation and disclosure. Institutions should follow the applicable current standards and local regulation rather than treating a summary description as a substitute for the standards themselves.

Reports should distinguish realised facts from forecasts and opinions. They should avoid selective presentation, misleading annualisation, survivorship bias and unsupported claims of skill. Performance figures should be independently reviewed where feasible.

11. Illustrative Case: The Meridian Balanced Fund

Background

The fictional Meridian Balanced Fund has a long-term mandate of 60% global equities and 40% high-quality bonds. Its benchmark is a 60/40 blended index. The fund uses a broad passive equity core, an active emerging-markets satellite and an active duration allocation in bonds. Its IPS permits each asset class to vary by ±5 percentage points.

Problem

After a strong equity-market rally, equities rise to 68% of assets. The portfolio also contains two satellites that both hold technology companies, producing a larger technology exposure than is visible from the asset-class report. A proposed immediate sale would crystallise taxable gains and incur a wide spread in one emerging-market holding.

Analysis

The 8-percentage-point equity deviation breaches the upper tolerance. The manager reviews liquidity, tax lots, factor concentration, cash flows and expected transaction costs. The monitoring team also discovers that the active emerging-markets mandate has tracking error substantially above its approved budget. Performance has exceeded the benchmark, but much of the excess return came from an unintended technology concentration rather than the documented selection process.

Approach and solution

The committee adopts a staged, threshold-based rebalance. New contributions are directed to bonds, liquid equity positions are trimmed first, and the least tax-efficient lots are retained. The emerging-markets position is reduced over several trading sessions using limit orders and execution monitoring. A look-through exposure report is introduced so that common holdings across satellites are aggregated. The active-risk budget is revised, and the manager must report allocation, selection, factor and implementation effects separately.

Outcome

The portfolio returns within the IPS range without a single large market order. Taxes and market impact are lower than under an immediate full liquidation. The new dashboard identifies total technology exposure, liquidity under stress and tracking error by mandate. The committee concludes that the original headline performance overstated the evidence of active skill.

Learning points

  1. Rebalancing should consider taxes and implementation costs, not only target weights.
  2. Asset-class diversification does not guarantee factor or issuer diversification.
  3. A good outcome requires both investment judgment and operational discipline.
  4. Attribution must distinguish intended active decisions from accidental exposures.
  5. Monitoring systems should aggregate risks across the entire portfolio.

12. Limitations and Contemporary Developments

Performance ratios are historical summaries, not guarantees. A high Sharpe ratio may reflect leverage, smoothing, stale pricing or a favourable sample period. A low tracking error may arise because the portfolio takes little active risk, not because it is well managed. Attribution can be sensitive to classification choices and data quality.

Alternative assets introduce valuation lag, appraisal smoothing, lock-ups and irregular cash flows. Their returns may not be directly comparable with daily public-market benchmarks. Currency hedging, derivatives and securities lending create additional basis, counterparty and collateral risks.

Technology increasingly supports automated compliance, portfolio analytics, electronic execution and natural-language reporting. Artificial intelligence can help classify disclosures, detect anomalies and generate monitoring alerts, but it does not remove the need for human accountability. AI outputs may contain data errors, model bias, unstable relationships or fabricated explanations. Use should include approved data sources, access controls, model validation, audit trails, explainability appropriate to the decision and human review.

Best practice is therefore not to maximise automation, turnover or the number of metrics. It is to establish a coherent mandate, transparent process, reliable data, proportionate controls and an evaluation framework that rewards sustainable, risk-adjusted outcomes.

Chapter Summary

Portfolio implementation translates an IPS into actual holdings while accounting for execution, costs, liquidity, taxes, operations and regulation. Active, passive, factor and core–satellite approaches differ in their sources of expected return, cost and risk. Security selection must be paired with an execution plan and controls on concentration, liquidity, leverage and counterparty exposure.

Monitoring covers holdings, exposures, compliance, operations, liquidity and performance. Rebalancing may use calendar dates, tolerance bands or a hybrid process, with cash flows often providing a cost-efficient mechanism. Time-weighted returns are generally suitable for evaluating managers, whereas money-weighted returns reflect the investor’s cash-flow experience.

Sharpe, Treynor, Sortino and information ratios measure different forms of risk-adjusted performance. Attribution explains allocation, selection and interaction effects, while a sound benchmark must be appropriate, specified in advance and consistently measured. Professional reporting requires transparent methods, fee disclosure, risk information, compliance reporting and fair presentation. Governance, data quality and human oversight remain essential even when technology and AI are used.

Key Terms

Investment policy statement: Formal document defining objectives, constraints and investment rules.

Active management: Deliberate deviation from a benchmark to seek excess return.

Passive management: Strategy designed to replicate an index.

Factor investing: Systematic exposure to characteristics associated with risk or return differences.

Core–satellite strategy: Broad diversified core combined with smaller active or specialised allocations.

Tracking difference: Difference between portfolio and benchmark returns.

Tracking error: Volatility of active returns relative to a benchmark.

Implementation shortfall: Difference between a decision price and the realised post-cost outcome.

Liquidity: Ability to trade without a substantial price concession.

Market impact: Price movement caused by an investor’s own trade.

Rebalancing: Restoring portfolio exposures toward target weights.

Time-weighted return: Return measure that neutralises the effect of external cash-flow timing.

Money-weighted return: Return measure influenced by the timing and size of cash flows.

Sharpe ratio: Excess return per unit of total volatility.

Treynor ratio: Excess return per unit of systematic risk.

Sortino ratio: Return above a target per unit of downside deviation.

Information ratio: Active return per unit of tracking error.

Performance attribution: Decomposition of portfolio performance into explanatory effects.

Benchmark: Reference portfolio used to evaluate performance and risk.

GIPS: Global standards intended to promote fair and comparable investment-performance presentation.

Review Questions

Short Answer Questions

  1. Why is implementation different from portfolio design?
  2. Distinguish tracking difference from tracking error.
  3. Identify three explicit or implicit transaction costs.
  4. Why is time-weighted return commonly used to evaluate investment managers?
  5. What is the purpose of a rebalancing tolerance band?

Long Answer Questions

  1. Compare active, passive, factor and core–satellite strategies, including their benefits and risks.
  2. Explain how liquidity, taxes and transaction costs should influence portfolio implementation.
  3. Describe a complete monitoring and risk-control framework for a balanced fund.
  4. Explain the Sharpe, Treynor, Sortino and information ratios, including when each is most appropriate.
  5. Discuss the characteristics of a valid benchmark and the requirements of professional performance reporting.

Analytical / Application Questions

  1. A portfolio has a return of 12%, a risk-free rate of 5% and standard deviation of 14%. Calculate and interpret its Sharpe ratio.
  2. A portfolio’s target equity weight is 60%, its current equity weight is 67%, and the permitted band is ±5 percentage points. Determine whether a threshold rebalance is required and explain two implementation considerations.
  3. A fund outperforms its benchmark, but its excess return comes mainly from an unintended sector concentration. Explain why headline outperformance may overstate skill and identify the attribution and monitoring reports needed for diagnosis.

Multiple Choice Questions with Answers

Question 1

Which return measure is generally most appropriate for evaluating an investment manager when the client controls external cash-flow timing?

A. Money-weighted return

B. Time-weighted return

C. Simple dividend yield

D. Accounting profit margin

Correct Answer: B. Time-weighted return

Question 2

A portfolio earns 10%, the risk-free rate is 4%, and its standard deviation is 12%. What is its Sharpe ratio?

A. 0.25

B. 0.40

C. 0.50

D. 0.83

Correct Answer: C. 0.50

Question 3

What does tracking error primarily measure?

A. The portfolio’s dividend yield

B. The volatility of active returns relative to a benchmark

C. The portfolio’s total turnover only

D. The probability of a bond default

Correct Answer: B. The volatility of active returns relative to a benchmark

Question 4

Which implementation approach combines a diversified broad-market allocation with smaller specialised allocations?

A. Full replication

B. Core–satellite

C. Calendar arbitrage

D. Pure cash management

Correct Answer: B. Core–satellite

Question 5

A target asset weight is 50%, the current weight is 57%, and the permitted band is ±5 percentage points. Under a threshold rule, what is the most direct conclusion?

A. No action is possible because the target is below 60%

B. Rebalancing is triggered because the deviation is 7 percentage points

C. Rebalancing is prohibited until year-end

D. The benchmark must be changed

Correct Answer: B. Rebalancing is triggered because the deviation is 7 percentage points

Question 6

Which ratio uses beta rather than total standard deviation as its risk denominator?

A. Sharpe ratio

B. Sortino ratio

C. Treynor ratio

D. Information ratio

Correct Answer: C. Treynor ratio

Question 7

Which item is an implicit transaction cost?

A. Exchange fee shown on a contract note

B. Custody invoice

C. Bid–ask spread

D. Statutory filing fee

Correct Answer: C. Bid–ask spread

Question 8

The Sortino ratio differs from the Sharpe ratio primarily because it uses:

A. Only downside deviation as the risk measure

B. Beta as the risk measure

C. Benchmark return as the numerator

D. Turnover as the denominator

Correct Answer: A. Only downside deviation as the risk measure

Question 9

Which benchmark characteristic is most important for fair manager evaluation?

A. It should be selected after observing the best result

B. It should be appropriate and specified in advance

C. It should always have the highest historical return

D. It should exclude the manager’s investment universe

Correct Answer: B. It should be appropriate and specified in advance

Question 10

In performance attribution, the allocation effect primarily examines the effect of:

A. Choosing different weights across segments than the benchmark

B. Changing the accounting system

C. Using a different risk-free rate

D. Paying custody fees

Correct Answer: A. Choosing different weights across segments than the benchmark

Security Analysis & Portfolio Management
Chapter 13 of 14