Community Q&A
Expert-verified answers to your financial certification questions. Ask, learn, and connect with fellow candidates.
Updated
How does a central counterparty (CCP) allocate losses when a clearing member defaults, and what are assessment powers?
The CCP default waterfall is the sequence of financial resources used to absorb losses when a clearing member defaults. Understanding this waterfall is critical for FRM Part II because CCPs concentrate counterparty risk.
How does the convenience yield affect commodity forward pricing, and what is the full formula?
The convenience yield is one of the trickiest concepts in commodity forwards because it represents a benefit that is invisible in the cash flows but very real in pricing. The full formula is F_0 = S_0 x e^{(r + u - y) x T}.
How do banks incorporate climate risk into their stress testing frameworks, and what are the key scenario types?
Climate risk stress testing assesses the financial impact of physical risk (floods, droughts, sea-level rise) and transition risk (carbon taxes, stranded assets, technology shifts) on bank portfolios. Banks use NGFS scenarios spanning decades, which poses unique methodological challenges compared to traditional short-horizon stress tests.
What are counterparty exposure profiles, and how do Expected Exposure and Potential Future Exposure differ?
Counterparty exposure profiles describe how derivative market value and default risk evolve over time. Expected Exposure is the average positive value at each time point, EPE is the time-weighted average used for regulatory capital, and PFE is the high-quantile worst case used for credit limits.
What are structural breaks in time series data and how do they affect risk models?
A structural break occurs when the underlying data-generating process changes permanently, causing model parameters like volatility and correlations to shift. The Chow test is the standard detection method, comparing model fit across sub-periods split at the suspected break point.
What is a total return swap and why do institutions use them instead of buying the reference asset directly?
A total return swap (TRS) is an OTC derivative where one party transfers the full economic performance of a reference asset — coupons, price appreciation, and depreciation — to the counterparty in exchange for a funding rate, typically SOFR plus a spread.
What is filtered historical simulation and how does it fix the problems of standard HS?
Filtered historical simulation combines GARCH volatility modeling with historical simulation. It filters returns by GARCH to extract standardized residuals, then rescales them by current volatility — producing VaR estimates that adapt immediately to changing conditions.
What's the difference between through-the-cycle (TTC) and point-in-time (PIT) PD, and why does it matter for capital?
PIT PD reflects current economic conditions and fluctuates with the business cycle, while TTC PD averages across the entire cycle and remains stable. The choice affects regulatory capital calculations, loan provisioning, and procyclicality.
How do AIC and BIC work for model selection, and when would they disagree?
AIC and BIC both penalize model complexity to prevent overfitting, but BIC applies a heavier penalty that grows with sample size. They disagree when a complex model offers modest fit improvement — AIC accepts extra parameters more readily than BIC.
Why do Eurodollar futures (and now SOFR futures) need a convexity adjustment when used for swap pricing?
The convexity adjustment is one of the trickiest concepts in fixed-income derivatives. Futures contracts are marked to market daily, creating a systematic bias that makes futures rates higher than equivalent forward rates.
How does factor-based risk decomposition work for market risk management?
Factor-based risk decomposition breaks portfolio VaR into contributions from identifiable market factors (equity, rates, FX, volatility) plus idiosyncratic risk. This reveals WHY a portfolio has risk, enabling targeted hedging, factor-level limits, and stress testing.
What is CVA and how does DVA work as a bilateral credit adjustment?
CVA is the market value of counterparty default risk (expected loss from their default), while DVA captures the value of your own default risk to the counterparty. The bilateral adjustment is: Value = Risk-Free - CVA + DVA. DVA is controversial because it creates gains when your own credit deteriorates.
What are AR and MA models and when do you use each for financial time series?
AR models relate the current value to its own past values (persistent patterns), while MA models relate it to past error terms (shock effects). AR is identified by PACF cutoff, MA by ACF cutoff. ARMA combines both for more complex patterns.
What are longevity swaps and how do pension funds use them?
Longevity swaps allow pension funds to exchange fixed payments (based on expected mortality) for floating payments (based on actual mortality), transferring the risk that beneficiaries live longer than projected to reinsurers or capital market investors.
Why does default correlation matter so much for credit portfolio losses?
Default correlation measures the tendency for multiple obligors to default together. While it doesn't change expected losses, it dramatically affects the tail of the loss distribution, making Credit VaR and economic capital extremely sensitive to correlation assumptions.
How does the FRTB internal models approach work and what is desk-level approval?
FRTB's internal models approach requires desk-level approval through backtesting and P&L attribution tests. Desks failing either test revert to the standardized approach. Capital is calculated using 97.5% Expected Shortfall with liquidity-adjusted horizons, replacing the previous 99% VaR framework.
How do CCPs reduce systemic risk and what happens when a clearing member defaults?
CCPs interpose themselves between derivative counterparties through novation, absorbing counterparty risk. When a member defaults, losses are covered through a waterfall: defaulter's margin, defaulter's default fund, CCP capital, then mutualized default fund. However, CCPs themselves concentrate systemic risk.
How is PCA used to decompose yield curve risk into principal components?
PCA decomposes yield curve movements into three main factors: level (parallel shift, ~88% of variance), slope (steepening/flattening, ~8%), and curvature (butterfly, ~3%). This reduces a high-dimensional risk problem to three independent, interpretable factors.
What's the intuition behind barrier option pricing and when are knock-ins cheaper than vanillas?
Barrier options activate (knock-in) or deactivate (knock-out) when the underlying hits a specified level. The key pricing relationship is in-out parity: knock-in plus knock-out equals the vanilla option price. Knock-ins are cheaper because they only have value along specific price paths.
How does a bank conduct liquidity stress testing, and what are the key scenarios?
Liquidity stress testing simulates how a bank's liquidity evolves under adverse scenarios, modeling cash outflows, inflows, and asset monetization to determine the survival horizon. Banks test idiosyncratic, market-wide, and combined scenarios, connecting results to contingency funding plans and regulatory metrics like LCR and NSFR.
Want unlimited access?
You've browsed several pages. Sign in to save your spot, bookmark questions, and unlock all 4,677 community questions plus expert-verified study materials.
Have a Question? Ask Our Experts
Register to ask questions, get expert-verified answers, and connect with fellow certification candidates preparing for CFA, FRM, CIA, CPA, and EA exams.