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FRM Updated
How do netting agreements reduce credit exposure and what is close-out netting?
Close-out netting under ISDA Master Agreements allows all transactions with a counterparty to be terminated and marked to market upon default, with positive and negative values netted into a single amount. This typically reduces exposure by 80-90%.
How does bootstrapping work for statistical inference in risk management?
Bootstrapping creates thousands of simulated samples by drawing with replacement from the original data, allowing estimation of sampling distributions without distributional assumptions. It is especially useful for non-standard statistics like VaR confidence intervals.
What is the TBA market and how does it work for mortgage-backed securities?
TBA (To Be Announced) is the primary trading mechanism for agency MBS, where six parameters are agreed upon at trade but the specific mortgage pool is announced 48 hours before settlement. This market enables originators to hedge pipeline risk by forward-selling MBS.
How do credit transition matrices work and how are they used in portfolio credit risk?
A credit transition matrix shows the probability that an obligor rated in a given category at the start of a period will migrate to any other rating category or default by the end of the period. Each row represents the starting rating and each column represents the ending rating.
How do you calculate Expected Shortfall and why is it replacing VaR in Basel regulations?
Expected Shortfall is the average loss in the tail beyond VaR, answering 'how bad do losses get when things go wrong.' ES is a coherent risk measure (satisfying subadditivity), while VaR is not. FRTB replaced 99% VaR with 97.5% ES as the regulatory standard for market risk capital.
What's the difference between CreditMetrics and CreditRisk+ for modeling credit portfolio risk?
CreditMetrics models credit rating migrations and default using correlated asset returns and Monte Carlo simulation, while CreditRisk+ models only defaults using a Poisson process with sector factors and closed-form solutions. CreditMetrics captures spread risk from downgrades; CreditRisk+ is computationally faster but limited to default losses.
What's the difference between Gaussian and Student-t copulas, and why does tail dependence matter?
Copulas separate marginal distributions from dependence structure. The Gaussian copula has zero tail dependence regardless of correlation, meaning it underestimates the probability of simultaneous extreme events. The Student-t copula captures positive tail dependence, making it better for modeling crisis scenarios.
How do you value a fixed-for-fixed currency swap mid-life with a worked example?
Valuing a currency swap mid-life means treating each leg as a separate bond, discounting at the appropriate currency's rate, then converting to a common currency using the current spot rate. The difference gives the swap's mark-to-market value.
How are operational risk loss events classified under Basel, and what are the seven event types?
Basel defines seven operational risk loss event types: internal fraud, external fraud, employment practices, clients/products/business practices, physical asset damage, system failures, and execution/delivery errors. The key differentiator between categories is whether there was intent (fraud) vs. error (process failure).
Can someone explain CVA (Credit Valuation Adjustment) intuitively and show how it's calculated?
CVA is indeed one of the more challenging FRM Part II topics, but it becomes intuitive once you see the logic. Imagine you enter a swap and the counterparty defaults while the swap has positive value to you — CVA is the expected present value of that potential loss, calculated by summing LGD times expected exposure times marginal default probability across time periods.
How do endowment funds manage tail risk?
Post-2008 endowments use liquidity budgets, stress-tested capital call schedules, spending smoothing, and tail-risk hedging overlays.
What is the difference between OTC and exchange-traded derivatives, and how does clearing work for each?
Understanding OTC vs exchange-traded derivatives is fundamental to FRM Part I. Exchange-traded derivatives use central counterparties for daily margining, while OTC derivatives can be bilateral or centrally cleared. Post-2008 reforms now mandate central clearing for standardized OTC contracts, dramatically reducing systemic counterparty risk.
How do you calculate the settlement amount on a Forward Rate Agreement (FRA)?
FRA settlement is a classic FRM Part I topic that tests whether you understand present value mechanics in money markets. A Forward Rate Agreement is an OTC contract where two parties agree on an interest rate for a future period, and settlement is discounted because it occurs at the beginning of the reference period.
How does the Three Lines of Defense model work in risk management?
The Three Lines of Defense (3LoD) is the dominant governance model for organizing risk management responsibilities. The first line (business units) owns risks, the second line (risk management and compliance) provides oversight, and the third line (internal audit) provides independent assurance.
What is intraday liquidity risk and why did regulators start requiring banks to monitor it?
Intraday liquidity risk is the risk that a bank cannot meet its payment and settlement obligations in real time during the business day. BCBS 248 requires banks to monitor specific intraday metrics including peak usage, available liquidity, and throughput ratios.
What are Key Risk Indicators (KRIs) and how do banks set thresholds for them?
Key Risk Indicators (KRIs) are quantifiable metrics that signal changes in the operational risk profile before losses materialize. They function as early warning dashboards with green/amber/red escalation thresholds based on historical analysis and expert calibration.
What's the difference between the LCR and NSFR under Basel III?
The LCR and NSFR are Basel III's two pillars of liquidity regulation, but they address fundamentally different risks. The LCR measures short-term survival over a 30-day stress scenario, while the NSFR assesses structural funding stability over a 1-year horizon.
How do biodiversity credit markets work, and what financial integrity challenges do they face?
Biodiversity credits represent verified positive biodiversity outcomes from ecosystem restoration or protection. Unlike fungible carbon credits, they face fundamental challenges in measurement standardization, permanence, additionality, and comparability across different ecosystem types.
How do you decompose portfolio VaR by risk factor using a multi-factor model?
Factor-based VaR decomposition attributes portfolio risk to underlying systematic risk factors like equity, interest rates, and credit spreads. Using multi-factor models, each factor's contribution to total VaR is computed through the factor loading and covariance structure.
How does a CCP determine the size of each clearing member's default fund contribution, and what methodologies are used?
CCPs size the total default fund to cover simultaneous default of the two largest members under stress (Cover-2 standard), then allocate contributions based on each member's risk profile using pro-rata, stress-loss-based, or hybrid methods with periodic recalculation.
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