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What are the main conflicts of interest at credit rating agencies?
Four main conflicts affect the Big Three NRSROs: issuer-pays model (the company requesting the rating pays), ancillary services (rating advisory sold alongside), analyst revolving door, and rating stability preference...
What is psi and when should I worry about dividend sensitivity?
Psi measures sensitivity to the dividend yield. Calls have negative psi, puts have positive psi. Most relevant for long-dated options on high-dividend stocks.
What is a PAC tranche and how does the 'collar' protect its schedule?
A PAC delivers a fixed principal schedule inside its PSA collar. Support tranches absorb prepayment variation; the PAC stays on schedule until the support is exhausted.
What is the Crank-Nicolson scheme and why is it preferred for option pricing?
Crank-Nicolson averages the explicit and implicit schemes, evaluating spatial derivatives at both the current and next time step with equal weight...
Which historical stress scenarios should a trading book use and how are they calibrated?
Use 1987, 1994, 1998, 2008, 2011, 2020, 2022 and calibrate with rolling windows around event peaks. Relative shocks for equity/FX, absolute for rates/spreads.
What are the key components of a market risk stress testing framework?
Six components: scenario library, risk factor universe, pricing engine, governance, limits framework, and reporting. FRTB embeds stress testing in both SA and IMA.
What is the three lines of defense model and how has it evolved?
The Three Lines Model separates risk ownership, oversight, and assurance — updated in 2020 to emphasize collaboration and include the governing body.
How is market impact incorporated into LVaR for large positions?
Market impact LVaR adds lambda*(Q/ADV)*sigma term; optimal liquidation trades off impact vs timing risk...
How do I calculate Liquidity-Adjusted VaR using the bid-ask spread method?
LVaR = VaR + 0.5*P*(mean_spread + k*spread_stdev), adding liquidation cost to price VaR...
How is economic value of equity (EVE) calculated?
EVE equals the present value of all banking-book asset cash flows minus the present value of all liability cash flows, with both valued at risk-free or OIS discount rates.
What's the difference between initial margin and maintenance margin?
Initial margin opens the position; maintenance margin is the minimum to keep it open. Falling below maintenance triggers a call back to the initial level.
How does daily mark-to-market work for futures?
Daily mark-to-market means the clearing house revalues each open position at settlement price and settles the P&L in cash the same day through margin accounts.
How do I calculate and interpret the Altman Z-score?
Edward Altman's original 1968 Z-score uses five ratios from public manufacturing firms: Z = 1.2·X1 + 1.4·X2 + 3.3·X3 + 0.6·X4 + 1.0·X5 where X1 = Working Capital / Total Assets (liquidity)...
Why does rho matter more for long-dated options and how do I compute it?
Rho measures sensitivity to interest rates. Long-dated calls have meaningful rho; short-dated options have nearly zero. Formula: ρ_call = K·T·e^(-rT)·N(d2).
How do CMO sequential-pay tranches redistribute prepayment risk?
Sequential CMOs pay principal to tranches in order (A→B→C→Z) while all classes receive interest. This creates time-segmented maturity profiles from one pool.
How do finite difference methods solve the Black-Scholes PDE?
Finite difference methods discretize the BSM PDE on a grid of stock prices and times, approximating derivatives with differences...
What does an inverted vol term structure signal?
Inverted vol term structure signals acute stress with mean reversion priced in. Front-month spikes to 40-60 while 1-year lags because long-run vol reverts to average.
How do I design a credit stress test for FRM Part II?
Design scenarios, map macro drivers to PD/LGD, project nine-quarter losses, and assess post-stress capital adequacy...
What alternative data sources are used in credit scoring and what are the regulatory concerns?
Alt-data includes cash flow, rent, telecom, payroll, and public records. It expands access but triggers FCRA, ECOA disparate impact, CFPB adverse action, and privacy concerns.
How does machine learning credit scoring compare with traditional logistic regression?
GBMs usually beat logistic by 2-8 Gini points but at the cost of interpretability, stability, and regulatory explainability. Most banks deploy ML as challenger first.
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