How is the stressed expected shortfall (ES) calculated under FRTB, and why did Basel replace VaR with ES?
I'm studying the Fundamental Review of the Trading Book for FRM Part II. FRTB replaced the old VaR-based capital framework with expected shortfall. I understand ES captures tail risk better, but I'm confused about the 'stressed' component and the liquidity horizon adjustments. Can someone walk through the actual calculation?
The FRTB replaced Value-at-Risk with Expected Shortfall as the primary risk measure for the Internal Models Approach (IMA), addressing VaR's well-known failure to capture tail risk. The stressed ES adds a calibration to the most severe historical period.\n\nWhy ES Replaced VaR:\n\nVaR answers: 'What is the most I can lose at the 99th percentile?' But it says nothing about the magnitude of losses beyond that threshold. ES (also called CVaR) answers: 'Given that I'm in the worst 2.5% of outcomes, what is my expected loss?'\n\nUnder FRTB, the confidence level shifts from 99% VaR to 97.5% ES, which produces roughly equivalent capital for normal distributions but significantly higher capital for fat-tailed distributions.\n\nThe Stressed ES Formula:\n\n`mermaid\ngraph TD\n A[\"FRTB Capital: ES Component\"] --> B[\"ES_{R,S}
Reduced set of risk factors
Stressed period calibration\"]\n A --> C[\"ES_{R,C}
Reduced set of risk factors
Current period\"]\n A --> D[\"ES_{F,C}
Full set of risk factors
Current period\"]\n B --> E[\"Scaling Ratio
ES_{R,S} / ES_{R,C}\"]\n D --> F[\"Base ES
ES_{F,C}\"]\n E --> G[\"Stressed ES = ES_{F,C} x (ES_{R,S} / ES_{R,C})\"]\n F --> G\n`\n\nIMES = ES_{F,C} x (ES_{R,S} / ES_{R,C})\n\nwhere:\n- ES_{F,C} = ES using the full set of risk factors over the current (recent) period\n- ES_{R,S} = ES using a reduced set of risk factors over the stressed period\n- ES_{R,C} = ES using the reduced set of risk factors over the current period\n\nThe ratio ES_{R,S}/ES_{R,C} acts as a stress multiplier applied to the full-risk-factor current ES.\n\nLiquidity Horizon Adjustment:\n\nFRTB assigns different liquidity horizons (LH) to risk factor categories:\n\n| Risk Factor Category | Liquidity Horizon |\n|---|---|\n| Large-cap equities, major FX | 10 days |\n| Small-cap equities, corporate bonds | 20 days |\n| Emerging market rates, volatilities | 40 days |\n| Structured credit, exotic positions | 60 days |\n| Illiquid positions, bespoke products | 120 days |\n\nThe aggregated ES accounts for varying LH through a cascading formula:\n\nES = sqrt(sum over j of: (ES_j(LH_j))^2 x ((LH_j - LH_{j-1})/LH_j))\n\nwhere positions are grouped by increasing liquidity horizon buckets.\n\nWorked Example:\nSummitPoint Bank's trading desk holds a portfolio with two risk factor groups:\n\n- Group A (large-cap equity delta): ES_{10d} = $4.2M, LH = 10 days\n- Group B (equity vega, small-cap): ES_{20d} = $3.1M, LH = 20 days\n\nES_aggregated = sqrt(($4.2M)^2 + ($3.1M)^2 x (20-10)/20)\n= sqrt($17.64M^2 + $9.61M^2 x 0.5)\n= sqrt($17.64M^2 + $4.805M^2)\n= sqrt($22.445M^2) = $4.74M\n\nStress multiplier (ES_{R,S}/ES_{R,C}) = 1.65 (based on GFC stress period)\n\nIMES = $4.74M x 1.65 = $7.82M\n\nExplore FRTB capital requirements in our FRM Part II course.
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