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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 Bates model؟

Definition 13.4 Derivatives and Volatility · الفصل 13 — Jumps and Lévy Models

The Bates model is Heston’s stochastic volatility model (chapter 10) with Merton jumps added to the price. The characteristic function is the product of Heston’s and the jump factor, and the parameters are (v0,κ,vˉ,η,ρ,λ,μJ,δ)(v_0,\kappa,\bar v,\eta,\rho,\lambda,\mu_J,\delta).

One-month smiles of chapter 9’s surface: the nine fitted quotes, the three jump models fitted to them, and Heston calibrated to the whole surface. On one expiry every jump model fits; the differences appear at other expiries. Data: the tutorial.
Figure 13.2. One-month smiles of chapter 9’s surface: the nine fitted quotes, the three jump models fitted to them, and Heston calibrated to the whole surface. On one expiry every jump model fits; the differences appear at other expiries. Data: the tutorial.

أمثلة

Example 13.5 (Three models on one expiry, one on all)

Fitted to the one-month smile of chapter 9’s surface (nine strikes within two standard moves), Merton returns σ=9.8%\sigma=9.8\%, λ=3.16\lambda=3.16, μJ=−5.8%\mu_J=-5.8\%, δ=4.6%\delta=4.6\% with a root-mean-square error of 0.18 volatility point. Kou returns σ=8.4%\sigma=8.4\%, λ=11.7\lambda=11.7, p=0.24p=0.24, η1=85\eta_1=85, η2=30.4\eta_2=30.4, with an error of 0.06. Variance gamma (next section) has an error of 0.24 (Figure 13.2). Carried to other expiries, all three fail. At one year Merton’s skew is −0.07-0.07 against the market’s −0.25-0.25. At one week variance gamma’s is −3.66-3.66 against −1.44-1.44 (Figure 13.1). Bates fitted to all eight expiries from one week to two years has an error of 0.34 point, with v0=0.018v_0=0.018, κ=2.06\kappa=2.06, vˉ=0.062\bar v=0.062, η=0.85\eta=0.85, ρ=−0.70\rho=-0.70 and jumps λ=2.34\lambda=2.34, μJ=−3.6%\mu_J=-3.6\%, δ=3.0%\delta=3.0\%. Its skew is −1.36-1.36 at one week and −0.23-0.23 at one year.

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