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1 Markets I: The Ecosystem and Exchange-Traded Marketsالأسواق عبر الإنترنت 2 Markets II: Rates, FX and Creditالأسواق عبر الإنترنت 3 Markets III: Commodities, Energy and Cryptoالأسواق عبر الإنترنت 4 Quantitative Methodsالأساليب عبر الإنترنت 5 Derivatives and Volatilityالمشتقات عبر الإنترنت 6 Rates, Credit, XVA and Riskالفائدة والائتمان والمخاطر عبر الإنترنت 7 Research Craft: Predictors, Backtests, Measurement, Portfoliosالبحث عبر الإنترنت 8 Strategies I: Equities and Futuresالاستراتيجيات عبر الإنترنت 9 Strategies II: Volatility, Relative Value, Macro and the Bank Desksالاستراتيجيات عبر الإنترنت 10 Microstructure and Executionالتنفيذ عبر الإنترنت 11 Market Making and High-Frequency Tradingصناعة السوق عبر الإنترنت 12 Machine Learning for Marketsتعلم الآلة عبر الإنترنت 13 Low-Latency Softwareالتكنولوجيا عبر الإنترنت 14 Networks, Hardware and Trading Infrastructureالتكنولوجيا عبر الإنترنت 15 Research, Data and Risk Platformsالتكنولوجيا عبر الإنترنت 16 The Desk and the Firmالشركة عبر الإنترنت 17 The Industry: Firms, Roles and Careersالمسارات المهنية عبر الإنترنت 18 The Interview Bookالمسارات المهنية عبر الإنترنت
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Quantitative Finance · المسرد

ما معنى Benchmark model, outcomes analysis؟

يُعرف أيضًا باسم: benchmark model · outcomes analysis

Definition 26.6 Rates, Credit, XVA and Risk · الفصل 26 — Model Risk and Validation

A benchmark model is an independent implementation, of the same model or of an alternative, against which a model’s outputs are compared. Outcomes analysis compares a model’s outputs with the realised outcomes they predicted: backtesting of VaR and margin, P&L attribution, default rates against PDs.

أمثلة

Example 26.8 (Validating chapter 7’s tree)

Chapter 7’s Hull–White trinomial tree prices European swaptions; the Jamshidian closed form of the same model is the benchmark. Over 216 points (mean reversion 1%, 5%, 20%; volatility 60 and 120 basis points; expiries 1, 5, 10 years; tenors 5 and 10; strikes at the money and ±1%\pm1\%; quarterly and monthly steps), with a tolerance of half a basis point of notional or 1%: with quarterly steps 54 of 108 points fail and the worst error is 15.8 basis points of notional; with monthly steps 23 fail and the worst is 3.2. The failures concentrate at short expiries, 14 of the 23 at one year (Figure 26.1): a one-year-into-five-year at-the-money payer (mean reversion 1%, volatility 60 basis points) is worth 104.81 basis points in closed form, 103.07 in the monthly tree and 98.55 in the quarterly one. The finding: the tree needs finer steps before a near exercise date, and a condition of use until it has them.

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