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.
The key ideas, at a glance
Measure benchmark-relative skill
Read the visual, then follow the worked example below. Use the stated case assumptions.
Illustrative worked case
% 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.
| Concept | Rule or decision | Common mistake |
|---|---|---|
| Measure benchmark-relative skill | Information ratio = active return / tracking error | A hundred correlated trades do not automatically provide a hundred independent decisions. |
| Compare market price with NAV | Premium = market price / NAV - 1 | Creation/redemption can constrain deviations; it does not guarantee zero premiums in stressed markets. |
| State what VaR does not say | Zero-mean normal VaR = portfolio value × z × horizon volatility | Normal-model VaR can miss heavy tails and does not tell you the average loss beyond its cutoff. |
| Rebuild the investable history | Point-in-time universe + untouched evaluation + implementable costs | Repeatedly changing a strategy after inspecting the holdout eventually contaminates the holdout too. |
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
Given
Portfolio 10%, benchmark 7%, tracking error 6%.
Method
(10% - 7%) / 6% = 0.50.
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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- 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.
- 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.
- 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.
- 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%.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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 ideaMETHOD 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 ideaMETHOD 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 ideaMETHOD 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 ideaQuestions 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.
Sources and curriculum scope
Official outlines establish curriculum scope. The explanations and worked examples are independent teaching material; the sources do not verify or endorse them.
- 2026 CFA Level II outline: Portfolio Management
- CFA Institute: Level II exam and item-set format
- 2026 CFA Level 2 curriculum outline
- 2027 CFA Level 2 curriculum outline
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