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CFA Level 2 · Free topic practice

CFA Level 2 Portfolio Management: notes and free practice

CFA Level 2 Portfolio Management connects portfolio models, active decisions and risk measurement. Identify the benchmark and relevant risk measure before evaluating whether a decision adds value.

Level 2 · Visual study guideStudy illustration connecting a foundation, analysis and an investment decision.

Measure benchmark-relative skill

Read the visual, then follow the worked example below. Use the stated case assumptions.

Illustrative worked case

Start with benchmark-relative return

% return

Portfolio
10
Benchmark
7
Active return
3

With 6% tracking error, the case’s information ratio is 3% / 6% = 0.50. These bars do not display total-risk Sharpe ratios.

  • 01Measure benchmark-relative skill

    Information ratio = active return / tracking error

    Watch for: A hundred correlated trades do not automatically provide a hundred independent decisions.

  • 02Compare market price with NAV

    Premium = market price / NAV - 1

    Watch for: Creation/redemption can constrain deviations; it does not guarantee zero premiums in stressed markets.

  • 03State what VaR does not say

    Zero-mean normal VaR = portfolio value × z × horizon volatility

    Watch for: Normal-model VaR can miss heavy tails and does not tell you the average loss beyond its cutoff.

  • 04Rebuild the investable history

    Point-in-time universe + untouched evaluation + implementable costs

    Watch for: Repeatedly changing a strategy after inspecting the holdout eventually contaminates the holdout too.

Selected 2026 study concepts. Match your preparation to your registered exam-year curriculum. These notes are not complete curriculum coverage.

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CFA Level II: 20 practice MCQs

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Put the method to work

One worked example, from facts to answer

  1. Given

    Portfolio 10%, benchmark 7%, tracking error 6%.

  2. Method

    (10% - 7%) / 6% = 0.50.

  3. Answer and interpretation

    The information ratio is 0.50; it is not the total-risk Sharpe ratio.

Original independent teaching example. Assumptions are stated above; this is not an official exam question or scoring key.

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10 free Portfolio Management questions

Five mini-cases, two questions each. Read the case facts, choose an answer and review the method. Short teaching cases, not complete exam item sets or a mock.

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  1. Question 1 of 10Level II topic sample · Case 1 of 5Portfolio ManagementMultiple choice

    Case facts

    A manager’s annual return is 11% versus an appropriate benchmark’s 8.5%. Annualized tracking error is 4%; total portfolio volatility is 18% and the risk-free return is 2%. All measures cover the same horizon and use consistent return definitions.

    The manager’s annual information ratio is:

    Answer and explanations

    (11% - 8.5%) / 4% = 0.625, using active return and active risk.

    Review the method
    • A: 0.500 is the Sharpe ratio from (11 - 2) / 18, not the information ratio.
    • B: 2.750 divides total return by tracking error without subtracting the benchmark.
    • C - correct: (11% - 8.5%) / 4% = 0.625, using active return and active risk.
  2. Question 2 of 10Level II topic sample · Case 1 of 5Portfolio ManagementMultiple choice

    Case facts

    A manager’s annual return is 11% versus an appropriate benchmark’s 8.5%. Annualized tracking error is 4%; total portfolio volatility is 18% and the risk-free return is 2%. All measures cover the same horizon and use consistent return definitions.

    Why is tracking error appropriate for the manager’s information ratio?

    Answer and explanations

    The information ratio evaluates active return per unit of active-return volatility, matching its numerator and denominator.

    Review the method
    • A - correct: The information ratio evaluates active return per unit of active-return volatility, matching its numerator and denominator.
    • B: Tracking error and total volatility are distinct except in special circumstances.
    • C: A return level is not the volatility of the return difference.
  3. Question 3 of 10Level II topic sample · Case 2 of 5Portfolio ManagementMultiple choice

    Case facts

    An active strategy has information coefficient 0.08, 100 independent decisions per year and transfer coefficient 0.75. Use the generalized fundamental law: expected information ratio = TC × IC × square root of breadth. Target annual active risk is 5%; assume these inputs are stable.

    The strategy’s expected information ratio under the generalized fundamental law is:

    Answer and explanations

    0.75 × 0.08 × √100 = 0.60 under the independence and stability assumptions.

    Review the method
    • A: 0.80 omits the 0.75 transfer coefficient.
    • B - correct: 0.75 × 0.08 × √100 = 0.60 under the independence and stability assumptions.
    • C: 6.00 uses breadth instead of its square root.
  4. Question 4 of 10Level II topic sample · Case 2 of 5Portfolio ManagementMultiple choice

    Case facts

    An active strategy has information coefficient 0.08, 100 independent decisions per year and transfer coefficient 0.75. Use the generalized fundamental law: expected information ratio = TC × IC × square root of breadth. Target annual active risk is 5%; assume these inputs are stable.

    At 5% target active risk, the strategy’s expected annual active return is:

    Answer and explanations

    Expected active return = information ratio 0.60 × active risk 5% = 3.00%.

    Review the method
    • A: 5% is the chosen active-risk level, not the expected active return.
    • B: 0.12% does not multiply expected information ratio by active risk.
    • C - correct: Expected active return = information ratio 0.60 × active risk 5% = 3.00%.
  5. Question 5 of 10Level II topic sample · Case 3 of 5Portfolio ManagementMultiple choice

    Case facts

    An ETF trades at $51 while its per-share NAV is $50. An authorized participant can deliver the underlying basket to create ETF shares, then sell the shares. For the simple arbitrage illustration, ignore transaction costs, financing, delays and basket-pricing uncertainty.

    The ETF’s market-price premium to NAV is:

    Answer and explanations

    51 / 50 - 1 = 2.00%; NAV is the denominator for this premium.

    Review the method
    • A - correct: 51 / 50 - 1 = 2.00%; NAV is the denominator for this premium.
    • B: 1.96% uses market price rather than NAV in the denominator.
    • C: The dollar difference is one, but the percentage premium is two.
  6. Question 6 of 10Level II topic sample · Case 3 of 5Portfolio ManagementMultiple choice

    Case facts

    An ETF trades at $51 while its per-share NAV is $50. An authorized participant can deliver the underlying basket to create ETF shares, then sell the shares. For the simple arbitrage illustration, ignore transaction costs, financing, delays and basket-pricing uncertainty.

    Which transaction exploits the supplied frictionless ETF premium?

    Answer and explanations

    Buying $50 of basket exposure and creating shares sold at $51 captures the stated premium before the excluded frictions.

    Review the method
    • A: That direction pays the premium instead of collecting it.
    • B - correct: Buying $50 of basket exposure and creating shares sold at $51 captures the stated premium before the excluded frictions.
    • C: Holding an overpriced share does not lock the illustrated creation arbitrage.
  7. Question 7 of 10Level II topic sample · Case 4 of 5Portfolio ManagementMultiple choice

    Case facts

    A $100m portfolio has daily return volatility of 2% and zero expected daily return. Use a normal-distribution model with a one-sided 95% critical value of 1.645. No cash flows occur. The risk committee wants both the modeled one-day VaR amount and its proper interpretation.

    The normal-model one-day 95% VaR is:

    Answer and explanations

    $100m × 1.645 × 0.02 = $3.29m modeled one-day VaR.

    Review the method
    • A: 2m is one daily standard deviation, not the supplied 95% quantile.
    • B: 1.645m fails to apply the 2% volatility correctly to $100m.
    • C - correct: $100m × 1.645 × 0.02 = $3.29m modeled one-day VaR.
  8. Question 8 of 10Level II topic sample · Case 4 of 5Portfolio ManagementMultiple choice

    Case facts

    A $100m portfolio has daily return volatility of 2% and zero expected daily return. Use a normal-distribution model with a one-sided 95% critical value of 1.645. No cash flows occur. The risk committee wants both the modeled one-day VaR amount and its proper interpretation.

    Which interpretation of the committee’s computed VaR is correct?

    Answer and explanations

    A one-sided 95% loss quantile leaves approximately 5% modeled probability beyond it; it is not a loss ceiling.

    Review the method
    • A - correct: A one-sided 95% loss quantile leaves approximately 5% modeled probability beyond it; it is not a loss ceiling.
    • B: VaR does not cap the size of tail losses.
    • C: Five percent is a probability, not a deterministic sequence or one-in-five frequency.
  9. Question 9 of 10Level II topic sample · Case 5 of 5Portfolio ManagementMultiple choice

    Case facts

    A researcher backtests a 2020-2025 strategy using only companies that remain in the index today and selects the best of hundreds of parameter settings on that same period. She has separate later data not used in this search, with point-in-time constituents available. Costs have not yet been included.

    Using only today’s surviving index companies in the historical test most directly risks:

    Answer and explanations

    Selecting current survivors omits historical failures or departures and can overstate simulated performance.

    Review the method
    • A: Today’s membership can exclude firms that were eligible in the historical period.
    • B - correct: Selecting current survivors omits historical failures or departures and can overstate simulated performance.
    • C: Membership selection does not include commissions, spreads or market impact.
  10. Question 10 of 10Level II topic sample · Case 5 of 5Portfolio ManagementMultiple choice

    Case facts

    A researcher backtests a 2020-2025 strategy using only companies that remain in the index today and selects the best of hundreds of parameter settings on that same period. She has separate later data not used in this search, with point-in-time constituents available. Costs have not yet been included.

    What is the strongest next validation step for the researcher’s selected strategy?

    Answer and explanations

    A fixed rule evaluated out of sample with an investable universe and costs tests generalization more credibly.

    Review the method
    • A: The best result among many settings is exposed to selection and overfitting.
    • B: Repeated retuning would make the unused data part of model selection.
    • C - correct: A fixed rule evaluated out of sample with an investable universe and costs tests generalization more credibly.

Four ideas to put to work

Find the method you need

Start with: Benchmark returns, standard deviation, portfolio risk, ETF shares and historical testing.

METHOD 01

Measure benchmark-relative skill

Information ratio = active return / tracking error

  • Subtract an appropriate benchmark from portfolio return.
  • Divide by active-return volatility using the same time units.
  • For the generalized fundamental law, use TC × IC × √independent breadth.

Worked example

Given
Portfolio 10%, benchmark 7%, tracking error 6%.
Calculate / decide
(10% - 7%) / 6% = 0.50.
Result
The information ratio is 0.50; it is not the total-risk Sharpe ratio.

Watch for: A hundred correlated trades do not automatically provide a hundred independent decisions.

Practise this idea

METHOD 02

Compare market price with NAV

Premium = market price / NAV - 1

  • Calculate the premium or discount using a contemporaneous NAV estimate.
  • At a premium, creation and sale can increase share supply when arbitrage is feasible.
  • Account for costs and execution uncertainty before assuming the premium disappears.

Worked example

Given
ETF market price 40.40, NAV 40, frictionless creation available.
Calculate / decide
40.40 / 40 - 1 = 1% premium.
Result
An authorized participant can buy the basket, create shares and sell the higher-priced ETF.

Watch for: Creation/redemption can constrain deviations; it does not guarantee zero premiums in stressed markets.

Practise this idea

METHOD 03

State what VaR does not say

Zero-mean normal VaR = portfolio value × z × horizon volatility

  • Specify confidence, horizon, return distribution and currency units.
  • Use volatility measured for the same horizon as the risk estimate.
  • Treat VaR as a modeled loss quantile, not a maximum possible loss.

Worked example

Given
Value 20m, daily volatility 1%, zero mean, z = 1.645 for one-sided 95%.
Calculate / decide
20m × 1.645 × 0.01 = 329,000.
Result
Modeled one-day 95% VaR is 329,000; more severe losses remain possible.

Watch for: Normal-model VaR can miss heavy tails and does not tell you the average loss beyond its cutoff.

Practise this idea

METHOD 04

Rebuild the investable history

Point-in-time universe + untouched evaluation + implementable costs

  • Include eligible securities that later failed or left the universe.
  • Keep model selection separate from final out-of-sample evaluation.
  • Include realistic costs and constraints before interpreting simulated returns.

Worked example

Given
A strategy looks strong after testing 200 parameter choices on one sample.
Calculate / decide
Freeze the chosen rule, then evaluate on genuinely unused point-in-time data.
Result
The new evaluation tests generalization; it does not guarantee future returns.

Watch for: Repeatedly changing a strategy after inspecting the holdout eventually contaminates the holdout too.

Practise this idea

Questions about this topic

What does an information ratio measure?
Under matching definitions, it compares active return with active-return volatility relative to the selected benchmark. The benchmark and measurement period matter to the interpretation.
Does high active share guarantee high active risk?
No. Holdings differences and return variation measure different aspects of the portfolio. Similar return exposures can arise from different holdings, so evaluate the relevant risk model and benchmark.
Does one positive active return prove skill?
No. Assess risk, benchmark fit, decision evidence and results over time. One period can reflect market conditions or chance as well as a useful decision process.

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Official outlines establish curriculum scope. The explanations and worked examples are independent teaching material; the sources do not verify or endorse them.

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