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FRM_PartII_Ready2026-04-06
frmPart IIMarket RiskStress Testing

How is factor-based VaR used in stress testing and scenario analysis?

FRM Part II discusses using factor models for stress testing. I know we can shock factors individually, but how do you construct realistic multi-factor stress scenarios? And how does this connect to VaR?

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Factor-based VaR and stress testing are complementary tools. VaR tells you what to expect under normal conditions; stress testing tells you what happens in extreme scenarios. Factor models provide the bridge between them.

From VaR to stress testing:

A factor-based portfolio model:

ΔV = Σ βᵢ × ΔFᵢ + ε

For VaR: Use the factor covariance matrix to estimate the distribution of ΔV.

For stress testing: Replace the statistical factor shocks with specific extreme scenarios.

Types of factor-based stress tests:

1. Historical scenarios (replay actual crises):

ScenarioEquity FactorRate FactorCredit FactorFX Factor
2008 GFC-38%-200bps+500bpsEUR -15%
2020 COVID-34%-150bps+400bpsEM FX -20%
2022 Rate Shock-19%+300bps+150bpsUSD +15%
1998 LTCM-20%-100bps+300bpsJPY +15%

Apply these historical factor moves to current portfolio sensitivities.

2. Hypothetical scenarios (design specific shocks):

  • "Fed raises rates by 200bps unexpectedly"
  • "China invades Taiwan" (equity -25%, EM FX -20%, oil +40%)
  • "US sovereign downgrade" (rates +100bps, credit +200bps, USD -10%)

3. Sensitivity analysis (one factor at a time):

Shock each factor independently to identify which factors matter most.

The challenge of multi-factor consistency:

When designing scenarios, factor shocks must be internally consistent. If you shock equity markets down 30%, it's unrealistic to assume credit spreads stay flat. The factor correlation structure helps:

  • Use historical crisis correlations (correlations spike during stress)
  • Apply PCA-based scenarios that respect the factor structure
  • Use conditional distributions: "Given equity -30%, what's the expected move in credit?"

Example — Silverstone Capital stress test:

Portfolio factor sensitivities:

Factorβ (sensitivity)Stress ShockP&L Impact
S&P 500$400K per 1%-25%-$10.0M
10Y Treasury rate-$200K per 10bps+150bps-$3.0M
IG credit spreads-$150K per 10bps+300bps-$4.5M
EUR/USD$100K per 1%-10%-$1.0M
VIX-$50K per 1 point+30 points-$1.5M
Total stress loss-$20.0M

Compare to the 99% VaR of $8.0M — the stress scenario is 2.5x the VaR, revealing tail risk that VaR misses.

Reverse stress testing:

Start from a loss that would threaten the firm's viability (e.g., -$50M) and work backward to find which factor combinations would produce that loss. This identifies "what would have to go wrong" for the firm to face existential risk.

Exam tip: FRM Part II tests the design of consistent multi-factor stress scenarios, the relationship between VaR and stress testing, and reverse stress testing concepts. Know how to apply factor sensitivities to scenario shocks.

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