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FRM Part II practice questions
30 free exam-style questions across every topic area, each with the answer and the reasoning behind it.
How to use this page
30 questions, 5 for each topic area, written in the style of the FRM® Part II exam. Pick an answer before you open the explanation; the reasoning matters more than the letter. Topics follow the published topic weights.
Market Risk Measurement & Management
20% of the exam
VaR and ES estimation, backtesting, EVT, GARCH, copulas, FRTB.
Question 1
A portfolio has a 1-day 99% VaR of $2.5m. Assuming i.i.d. returns, the 10-day 99% VaR is closest to:
- A$7.9m
- B$25.0m
- C$2.5m
- D$5.0m
Show the answer
A. $7.9m
√10 ≈ 3.162, so 2.5 × 3.162 ≈ $7.9m. Square-root-of-time scaling requires independent, identically distributed returns.
Curriculum area: Market Risk — VaR Measurement
Question 2
A bank’s 99% 1-day VaR model produced 9 exceptions in 250 trading days. This most likely indicates:
- AThe model overstates risk
- BThe model is well calibrated
- CThe model understates risk
- DNothing without expected shortfall data
Show the answer
C. The model understates risk
Nine breaches against 2.5 expected is far more than chance would suggest — the model understates risk. It sits at the top of the Basel yellow zone (5–9 exceptions); ten or more would be red.
Curriculum area: Market Risk — Backtesting VaR
Question 3
Breaches of a VaR model cluster in a single stressed week rather than occurring evenly. The most appropriate test is:
- AKupiec's unconditional coverage test
- BChristoffersen's conditional coverage test
- CA Jarque–Bera normality test
- DA Dickey–Fuller unit root test
Show the answer
B. Christoffersen's conditional coverage test
Kupiec tests only the number of exceptions. Christoffersen adds an independence test, which is what detects clustering.
Curriculum area: Market Risk — Backtesting VaR
Question 4
In extreme value theory using the peaks-over-threshold approach, a positive shape parameter ξ indicates:
- ATails thinner than the normal distribution
- BTails fatter than the normal distribution
- CA bounded loss distribution
- DThat the threshold was set too low
Show the answer
B. Tails fatter than the normal distribution
A positive ξ corresponds to the Fréchet domain — heavy tails, decaying more slowly than the normal distribution.
Curriculum area: Market Risk — Extreme Value Theory
Question 5
The Gaussian copula was widely criticised after 2008 primarily because it:
- ACannot join different marginal distributions
- BExhibits zero tail dependence
- CRequires equal marginals for all variables
- DCannot be calibrated to market data
Show the answer
B. Exhibits zero tail dependence
The Gaussian copula implies assets become independent in the extreme tail, exactly the opposite of observed crisis behaviour. Student t copulas admit tail dependence.
Curriculum area: Market Risk — Correlation and Copulas
Credit Risk Measurement & Management
20% of the exam
Merton and reduced-form models, credit VaR, counterparty risk, CVA, CDOs.
Question 6
Under the Merton model, an increase in the volatility of the firm’s assets will:
- AIncrease equity value and decrease default probability
- BIncrease equity value and increase default probability
- CDecrease equity value and increase default probability
- DLeave equity value unchanged
Show the answer
B. Increase equity value and increase default probability
Equity is a call on the firm's assets, so higher asset volatility raises its value. It simultaneously raises the probability the assets fall below the debt.
Curriculum area: Credit Risk — Structural Default Models
Question 7
Holding individual default probabilities constant, an increase in default correlation across a credit portfolio will:
- AIncrease expected loss and increase credit VaR
- BLeave expected loss unchanged and increase credit VaR
- CIncrease expected loss and leave credit VaR unchanged
- DReduce both measures
Show the answer
B. Leave expected loss unchanged and increase credit VaR
Expected loss depends only on individual PDs. Correlation fattens the tail of the loss distribution, which is what credit VaR measures.
Curriculum area: Credit Risk — Portfolio Credit Risk
Question 8
A bank buys credit protection on a sovereign from a bank domiciled in that same sovereign. This is a clear example of:
- ARight-way risk
- BWrong-way risk
- CBasis risk
- DSettlement risk
Show the answer
B. Wrong-way risk
The protection seller is most likely to default precisely when the protection is needed, so exposure and counterparty credit quality move adversely together.
Curriculum area: Credit Risk — Counterparty Risk and CVA
Question 9
In a CDO structure, an increase in default correlation across the collateral pool will most likely:
- ABenefit the equity tranche and harm the senior tranche
- BHarm the equity tranche and benefit the senior tranche
- CBenefit both tranches
- DHave no effect on either tranche
Show the answer
A. Benefit the equity tranche and harm the senior tranche
Higher correlation raises the probability of zero losses (helping equity) and of very large losses (harming senior). Senior tranches are effectively short correlation.
Curriculum area: Credit Risk — Structured Credit and CDOs
Question 10
Which mechanism most directly reduces counterparty credit exposure without changing the underlying trades?
- AIncreasing the notional
- BClose-out netting and collateral agreements
- CExtending the maturity
- DWidening the credit spread charged
Show the answer
B. Close-out netting and collateral agreements
Netting offsets positive and negative exposures to the same counterparty, and collateral covers the residual. Neither alters the trades themselves.
Curriculum area: Credit Risk — Netting, Collateral and Margining
Operational Risk & Resilience
20% of the exam
RCSA and loss data, model risk, cyber, third parties, financial crime, Basel.
Question 11
In a loss distribution approach, operational loss frequency is most commonly modelled with:
- AA lognormal distribution
- BA Poisson distribution
- CA generalised Pareto distribution
- DA Student t distribution
Show the answer
B. A Poisson distribution
Frequency is a count over a fixed period, which the Poisson distribution describes. Severity is typically lognormal, with a Pareto tail.
Curriculum area: Operational Risk — Modelling Loss Distributions
Question 12
A firm’s risk management function both designs the control framework and performs the independent assurance review of it. This most directly compromises:
- AThe first line of defence
- BThe separation of the second and third lines of defence
- CThe board's risk appetite statement
- DThe RCSA process only
Show the answer
B. The separation of the second and third lines of defence
Independent assurance belongs to internal audit, the third line. A function cannot independently assure the controls it designed.
Curriculum area: Operational Risk — Three Lines of Defence
Question 13
A model validated successfully on historical data fails badly in a new market regime. This is best classified as a failure of:
- AImplementation accuracy
- BConceptual soundness
- CData quality controls
- DChange management
Show the answer
B. Conceptual soundness
The model was built and coded correctly but rests on assumptions that do not hold in the new regime — a conceptual soundness failure.
Curriculum area: Operational Risk — Model Risk Management
Question 14
A firm outsources a critical process to a third party that suffers an outage. Regulatory accountability for the disruption rests with:
- AThe third party alone
- BThe firm, which cannot outsource accountability
- CBoth parties equally by default
- DNeither, if the contract contains a force majeure clause
Show the answer
B. The firm, which cannot outsource accountability
Outsourcing an activity never outsources the accountability. The firm remains responsible for the resilience of its critical services.
Curriculum area: Operational Risk — Third-Party and Outsourcing Risk
Question 15
Internal loss data alone is generally insufficient for operational risk capital because it:
- AIs not audited
- BIs too sparse in the tail to estimate extreme severity
- COverstates high-frequency low-severity events
- DCannot be used under Basel rules
Show the answer
B. Is too sparse in the tail to estimate extreme severity
A single firm rarely experiences enough extreme events to estimate the tail, so external data and scenario analysis supplement internal data.
Curriculum area: Operational Risk — Loss Data Collection
Liquidity & Treasury Risk
15% of the exam
Funding vs market liquidity, LVaR, transfer pricing, IRRBB, LCR and NSFR.
Question 16
A position worth $50m has a VaR of $2m and a bid–ask spread of 0.40%. Liquidity-adjusted VaR using the exogenous spread approach is closest to:
- A$2.00m
- B$2.10m
- C$2.20m
- D$4.00m
Show the answer
B. $2.10m
LVaR = VaR + ½ × spread × V = 2m + 0.5 × 0.004 × 50m = 2m + 0.1m = $2.10m.
Curriculum area: Liquidity Risk — Liquidity-Adjusted VaR
Question 17
The liquidity coverage ratio requires a bank to hold high-quality liquid assets sufficient to cover net cash outflows over:
- A5 days
- B30 days
- C90 days
- DOne year
Show the answer
B. 30 days
The LCR is a 30-day stressed horizon. The NSFR is the one-year structural measure.
Curriculum area: Liquidity Risk — Basel Liquidity Framework
Question 18
A fund forced to sell assets to meet redemptions depresses prices, triggering further redemptions and further sales. This is best described as:
- ABasis risk
- BA liquidity spiral
- CWrong-way risk
- DRegulatory arbitrage
Show the answer
B. A liquidity spiral
Funding pressure forces sales, which worsens market liquidity, which worsens funding pressure — the self-reinforcing liquidity spiral.
Curriculum area: Liquidity Risk — Funding versus Market Liquidity
Question 19
Without funds transfer pricing, a bank’s long-dated lending business will most likely appear:
- ALess profitable than it is, because liquidity cost is over-allocated
- BMore profitable than it is, because liquidity cost is not charged to it
- CCorrectly priced, since liquidity cost is a central function
- DUnaffected, since FTP is an accounting convention only
Show the answer
B. More profitable than it is, because liquidity cost is not charged to it
FTP charges business lines for the liquidity they consume. Without it, long-dated lending appears artificially profitable at the centre's expense.
Curriculum area: Liquidity Risk — Transfer Pricing
Question 20
Which asset receives no haircut in the LCR high-quality liquid asset calculation?
- ALevel 1 assets
- BLevel 2A assets
- CLevel 2B assets
- DAll HQLA receive the same haircut
Show the answer
A. Level 1 assets
Level 1 assets — cash, central bank reserves and qualifying sovereign debt — are counted at full value. Level 2A and 2B take haircuts and are capped.
Curriculum area: Liquidity Risk — Basel Liquidity Framework
Risk & Investment Management
15% of the exam
Factor theory, risk budgeting, attribution, hedge funds, illiquid assets.
Question 21
A small allocation to an asset with high volatility and high correlation to the rest of the portfolio can dominate the risk budget. The measure that reveals this is:
- AThe position weight
- BMarginal contribution to risk
- CThe Sharpe ratio of the position
- DThe position's standalone volatility
Show the answer
B. Marginal contribution to risk
Marginal contribution to risk accounts for both the volatility and the correlation with the existing portfolio, which a weight or standalone volatility cannot.
Curriculum area: Risk and Investment Management — Risk Budgeting
Question 22
When a hedge fund joins an index, the index provider adds the fund’s prior track record. The resulting distortion is:
- ASurvivorship bias
- BBackfill bias
- CSelection bias in the risk-free rate
- DSmoothing bias
Show the answer
B. Backfill bias
Backfill bias arises because funds tend to join after a strong period, so the added history inflates reported index performance.
Curriculum area: Risk and Investment Management — Hedge Fund Indices
Question 23
Reported returns on an illiquid private portfolio display strong positive autocorrelation. Unsmoothing the series will:
- ALower the estimated volatility and raise the Sharpe ratio
- BRaise the estimated volatility and lower the Sharpe ratio
- CLeave volatility unchanged but raise correlation
- DLower both volatility and correlation
Show the answer
B. Raise the estimated volatility and lower the Sharpe ratio
Smoothing understates true volatility and correlation. Correcting for it raises volatility, which reduces the Sharpe ratio.
Curriculum area: Risk and Investment Management — Illiquid Assets
Question 24
Factor theory holds that assets earn a risk premium because they:
- ABelong to a particular asset class
- BPerform poorly in bad times
- CHave high historical volatility
- DAre held by institutional investors
Show the answer
B. Perform poorly in bad times
Premia compensate exposure to bad times, not asset labels. Two differently labelled assets with the same factor exposure should earn similar returns.
Curriculum area: Risk and Investment Management — Factor Theory
Question 25
A manager reports strong alpha, but a factor regression shows most of the excess return is explained by a persistent value tilt. The appropriate conclusion is that the return reflects:
- AGenuine manager skill
- BSystematic factor exposure available more cheaply
- CA backtesting error
- DSurvivorship bias in the benchmark
Show the answer
B. Systematic factor exposure available more cheaply
Return attributable to a known factor is beta, not alpha, and can be obtained through cheaper systematic implementations.
Curriculum area: Risk and Investment Management — Factor Theory
Current Issues in Financial Markets
10% of the exam
This cycle's readings — AI in finance, climate risk, digital assets, bank stress.
Question 26
The Current Issues topic differs from every other FRM topic area because it:
- AIs not examined
- BIs replaced substantially each exam cycle
- CContains only quantitative material
- DCarries the largest weight in Part II
Show the answer
B. Is replaced substantially each exam cycle
The reading list rotates each year, so prior-year materials are unreliable. GARP publishes the current list directly.
Curriculum area: Current Issues in Financial Markets — Scope
Question 27
The principal supervisory concern with machine learning models used in credit decisions is:
- ATheir computational cost
- BLimited explainability and the resulting model governance gap
- CTheir inability to handle large datasets
- DThat they cannot be backtested
Show the answer
B. Limited explainability and the resulting model governance gap
Supervisors expect firms to explain credit decisions. Opaque models create a governance problem: who validates a model nobody fully understands.
Curriculum area: Current Issues — AI and Machine Learning in Finance
Question 28
A scenario describing rapid, well-signalled decarbonisation policy is best characterised as:
- AHigh physical risk and low transition risk
- BLow physical risk and high transition risk
- CHigh physical and high transition risk
- DLow physical and low transition risk
Show the answer
B. Low physical risk and high transition risk
Fast policy action raises transition risk for exposed sectors while limiting the warming that drives physical risk. The scenarios deliberately trade the two off.
Curriculum area: Current Issues — Climate and Transition Risk
Question 29
The 2023 US regional banking stress is best explained by the interaction of:
- ACredit losses on commercial loans and inadequate provisions
- BUnrealised duration losses and concentrated, digitally mobile uninsured deposits
- COperational failures in payment systems
- DCounterparty defaults in the derivatives market
Show the answer
B. Unrealised duration losses and concentrated, digitally mobile uninsured deposits
Held-to-maturity portfolios carried large unrealised losses while a concentrated uninsured deposit base withdrew faster than liquidity rules assumed.
Curriculum area: Current Issues — Post-2023 Banking Stress
Question 30
A key financial stability concern with fiat-referenced stablecoins is that they:
- ACannot be transferred across borders
- BAre subject to run dynamics if reserve quality or redemption is doubted
- CPay a variable interest rate to holders
- DAre always fully insured by deposit schemes
Show the answer
B. Are subject to run dynamics if reserve quality or redemption is doubted
A stablecoin is a redeemable claim on a reserve pool. Doubt about reserve quality or redemption capacity produces classic run dynamics.
Curriculum area: Current Issues — Digital Assets and Stablecoins
Keep going
- FRM Part I study planA 16-week plan for the May 2027 window.
- FRM Part II topic weightsWhat each topic covers and how much it counts.
- Finance glossary268 terms with the exam angle.
- CFA Level I practice questions
- CFA Level II practice questions
- CFA Level III practice questions
- FRM Part I practice questions
These are original practice questions in the style of the exam, not official questions. CFA® and FRM® are registered trademarks of their respective owners; GroundLearn is not affiliated with CFA Institute or GARP.
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