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FS
frmPart IIExpert Verified

What is the Fundamental Review of the Trading Book (FRTB), and how does it change market risk capital?

The Fundamental Review of the Trading Book (FRTB) is a major overhaul of market risk capital requirements. Key changes include replacing VaR with Expected Shortfall, introducing the sensitivities-based standardized approach (delta, vega, curvature), requiring desk-level model approval, and capitalizing non-modellable risk factors.

FRTB_Specialist·2026-04-04·149
CA
frmPart IIExpert Verified

How does scenario-based capital assessment work under AMA?

Under the Advanced Measurement Approach (AMA), scenario analysis outputs directly inform the operational VaR at 99.9% confidence over a one-year horizon...

CapitalModelExpert·2026-04-04·89
PE
frmPart IIExpert Verified

How does a pension glide path work mechanically?

A glide path uses funded-ratio triggers to shift allocation from return-seeking to liability-hedging as surplus grows.

PensionPolicyDesk·2026-04-04·63
TI
frmPart IIExpert Verified

What is the maturity adjustment in the IRB formula and why does longer maturity need more capital?

MA = (1 + (M-2.5)·b(PD)) / (1 - 1.5·b(PD)), where b(PD) = [0.11852 - 0.05478·ln(PD)]². 5Y loan gets 51.8% more capital than 2.5Y baseline. Captures migration risk...

TermStructure_Ingrid·2026-04-04·58
FS
frmPart IExpert Verified

What are the steps in the risk management process cycle, and how do they connect?

The risk management process is a continuous five-stage cycle: identification, assessment and measurement, mitigation and control, monitoring and reporting, and governance review. Each stage feeds into the next, with a critical feedback loop from governance back to identification that keeps the framework current.

FRM_StudyGroup·2026-04-04·145
EX
frmPart IExpert Verified

What are the main types of exotic options, and how do they differ from vanilla options in risk characteristics?

Exotic options include barrier options (activated or deactivated at trigger prices), Asian options (payoff based on average price), and lookback options (payoff based on the extreme price observed). Each has different premium levels, path dependencies, and hedging complexities compared to vanilla options.

ExoticsDeskTrader·2026-04-04·113
MD
frmPart IIExpert Verified

What is double materiality, and how does it differ from the single materiality approach used in traditional financial reporting?

Double materiality requires assessing ESG topics from two perspectives: how they affect the company financially (outside-in) and how the company impacts society and environment (inside-out). Required by the EU CSRD, it broadens disclosure beyond traditional financial materiality to capture impact-only material topics.

MaterialityPro_Dante·2026-04-03·152
DS
frmPart IExpert Verified

What are distortion risk measures, and how do they transform probability to capture risk aversion?

Distortion risk measures transform the survival function of losses using a concave distortion function, systematically overweighting extreme loss probabilities. Common distortions include the proportional hazard, dual power, and Wang transform, each producing coherent risk measures used in insurance and risk management.

DistortionPro_Signe·2026-04-03·71
SK
frmPart IIExpert Verified

What is CoVaR, and how does it measure the systemic risk contribution of individual financial institutions?

CoVaR measures the system-wide VaR conditional on a specific institution being in distress. DeltaCoVaR captures the marginal contribution of that institution to systemic risk, revealing hidden interconnectedness that individual VaR cannot detect. It is estimated using quantile regression and has influenced G-SIB capital surcharge calculations.

SysRisk_Kamala·2026-04-03·110
CK
frmPart IIExpert Verified

What is TLAC, how does bail-in work mechanically, and why was it designed for G-SIBs?

TLAC requires G-SIBs to maintain minimum levels of equity and bail-inable debt (18% of RWA) so they can be resolved without taxpayer support. Bail-in writes down or converts TLAC instruments to equity in a waterfall from CET1 through AT1, Tier 2, and senior unsecured debt.

ComplianceOfficer_K·2026-04-03·115
BP
frmPart IIExpert Verified

How is the exposure measure calculated for the Basel leverage ratio, and why does it include off-balance-sheet items?

The Basel leverage ratio exposure measure includes on-balance-sheet assets, derivative exposures under SA-CCR, securities financing transactions, and off-balance-sheet commitments with credit conversion factors. This broader measure captures risks that on-balance-sheet accounting misses.

BankExaminer_Pat·2026-04-03·91
BP
frmPart IExpert Verified

What is Stressed VaR, how is the stress period selected, and how does it enter the market risk capital calculation?

Stressed VaR is calibrated to a 12-month historical stress period that would produce the largest VaR for the bank's current portfolio. It was introduced by Basel 2.5 because regular VaR, calibrated to recent benign data, severely underestimated tail risk during the 2008 crisis.

BankExaminer_Pat·2026-04-03·103
FP
frmPart IExpert Verified

What is Conditional VaR (CVaR / Expected Shortfall), and why did Basel III replace VaR with ES for market risk capital?

Conditional VaR (CVaR) or Expected Shortfall measures the average loss in the worst alpha-percent of scenarios, capturing tail severity that VaR ignores. Basel III replaced VaR with ES for market risk capital because ES is subadditive, rewards diversification, and penalizes all tail scenarios.

FRM_PartII_Ready·2026-04-03·167
BM
frmPart IIExpert Verified

How are risk-weighted assets calculated under the Internal Ratings-Based approach?

The IRB approach uses a regulatory formula that converts PD, LGD, EAD, and maturity into risk-weighted assets. The core concept is computing a conditional PD at the 99.9% confidence level, adjusted for asset correlation and maturity.

BaselCapital_Marco·2026-04-03·156
OQ
frmPart IExpert Verified

Why is the Poisson distribution used for operational loss frequency and how do you apply it?

The Poisson distribution is the standard choice for modeling how many loss events occur in a fixed time period. It's ideal for operational risk because it models the count of rare, independent events with a single parameter lambda.

OpRisk_Quant·2026-04-03·112
IN
frmPart IIExpert Verified

How does desk-level capital allocation work under the FRTB, and why does it matter?

Under the FRTB, the trading desk is the fundamental unit of capital computation. Each desk must independently qualify for the Internal Models Approach by passing backtesting and P&L attribution tests.

InvestmentBanker_NY·2026-04-03·119
HI
frmPart IExpert Verified

What drives the shape of the volatility term structure, and how does mean reversion flatten it?

The volatility term structure describes how implied or expected volatility changes across different option maturities. Mean reversion is the key force that shapes the long end — when current vol is high, it creates a downward-sloping term structure.

HedgeFund_Intern·2026-04-03·156
O2
frmPart IIExpert Verified

What is P&L attribution, and how does the risk-theoretical P&L compare to actual P&L?

P&L attribution decomposes actual trading profits into risk-factor-driven components using model sensitivities. The gap between risk-theoretical and actual P&L reveals model deficiencies and is a critical FRTB validation requirement.

OptionsTrader_2026·2026-04-03·114
FP
frmPart IIExpert Verified

Why is default correlation so important in credit portfolio management, and how is it measured?

Default correlation determines how likely borrowers are to default together. Even moderate correlation dramatically increases tail losses and capital requirements while leaving expected losses unchanged.

FRM_PartII_Ready·2026-04-03·129
FP
frmPart IExpert Verified

What are the main pitfalls of correlation estimation in risk management, and how can you address them?

Correlation estimation has major pitfalls: correlations spike during crises, Pearson correlation assumes normality, short samples produce noisy estimates, and non-stationarity creates spurious relationships. Solutions include EWMA, copulas, and shrinkage estimators.

FRM_PartII_Ready·2026-04-03·105

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