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FRM Part II Updated
What is TVA (Total Valuation Adjustment), and how does a dealer aggregate all XVA components into a single pricing framework?
TVA aggregates all XVA components (CVA, DVA, FVA, MVA, KVA, ColVA) into a single pricing adjustment. The all-in derivative price equals the risk-free mid-market value minus TVA, but aggregation requires unified simulation to capture correlations and avoid double-counting.
What are the key terms in a Credit Support Annex (CSA), and how do they shape the collateral exchange process between derivatives counterparties?
The CSA defines threshold (exposure level before collateral is required), minimum transfer amount, eligible collateral types, haircuts, and valuation frequency. These parameters collectively determine when margin calls are triggered and how much collateral must be exchanged.
How is the Default Risk Charge calculated under FRTB, and how does it differ from the old incremental risk charge?
The Default Risk Charge under FRTB captures jump-to-default risk using a Gaussian copula simulation at 99.9% confidence over a 1-year horizon. It replaces the IRC with broader scope covering equities and constrained hedge recognition for maturity mismatches.
What are impact tolerances in operational resilience, and how do banks set them for critical business services?
Impact tolerances define the maximum disruption a bank can accept for critical business services before causing intolerable external harm. Unlike RTOs that focus on system recovery time, impact tolerances consider duration, volume, value, and data integrity from the perspective of consumers and market stability.
How do banks conduct climate scenario analysis for physical risk, and what methodologies translate climate events into financial losses?
Banks assess physical climate risk by mapping loan collateral to climate hazard zones, applying damage functions, and translating property losses into credit metric deterioration. The process combines geospatial data, climate models, and traditional credit risk frameworks across multi-decade horizons.
How does default correlation affect the value of different CDO tranches, and why do equity and senior tranches respond in opposite directions?
Higher default correlation makes extreme outcomes more likely while reducing moderate outcomes. Since equity tranches only suffer from moderate defaults, higher correlation benefits them by increasing the probability of zero defaults. Senior tranches, which only suffer from extreme defaults, are harmed because correlation increases the probability of catastrophic loss events.
What is risk contribution, and how do you decompose a portfolio's total risk into individual obligor contributions?
Risk contribution decomposes a portfolio's total unexpected loss into additive components for each exposure using the Euler decomposition method. Positions with high standalone risk and high correlation to the rest of the portfolio contribute disproportionately to portfolio risk.
How does the RAROC framework work for lending decisions, and what determines the hurdle rate?
RAROC measures risk-adjusted profitability by dividing risk-adjusted income (revenue minus costs minus expected loss) by economic capital. Loans are approved when RAROC exceeds the hurdle rate, which is typically the bank's cost of equity.
What is Margin Valuation Adjustment (MVA) and why has it become important?
MVA represents the cost of funding initial margin posted over the life of a derivative trade. Since mandatory bilateral margin requirements (UMR) were phased in, banks must post segregated initial margin that cannot be reused, creating a real funding cost.
How does the Gaussian copula model default time correlation, and why was it controversial?
The Gaussian copula model was the industry standard for pricing CDOs and other correlation-dependent credit products before the 2008 crisis. Understanding both its mechanics and its flaws is heavily tested in FRM Part II.
What is reverse stress testing and how does it differ from conventional stress testing?
Reverse stress testing works backwards from a catastrophic outcome — like the firm becoming non-viable — to identify which scenarios could cause it. Unlike conventional stress tests that apply predefined scenarios, reverse stress tests reveal hidden vulnerabilities by forcing institutions to identify their actual breaking points.
How does a synthetic CDO work, and why does credit correlation dramatically affect tranche pricing?
A synthetic CDO creates tranched credit exposure using a portfolio of credit default swaps rather than physical bonds. Credit correlation dramatically affects tranche pricing because it determines whether defaults occur independently or in clusters.
What is incremental VaR and how is it used for position sizing decisions?
Incremental VaR measures the change in portfolio VaR when a position is added or removed: IVaR = VaR(with) - VaR(without). It can be positive (increases risk) or negative (hedges). It's the primary metric for pre-trade risk assessment and position sizing.
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 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.
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.
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