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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 Volatility index؟

Definition 25.7 Markets I: The Ecosystem and Exchange-Traded Markets · الفصل 25 — Volatility as a Traded Quantity: First Contact

A volatility index is a published number that summarises the implied volatility of an index’s options for a fixed horizon, computed from option prices by a formula that uses no pricing model:

σ2  =  2T∑iΔKiKi2 eRT Q(Ki)  −  1T(FK0−1)2,\sigma^2 \;=\; \frac{2}{T}\sum_i \frac{\Delta K_i}{K_i^2}\,\mathrm{e}^{RT}\,Q(K_i) \;-\; \frac{1}{T}\Bigl(\frac{F}{K_0}-1\Bigr)^2 ,

with Q(Ki)Q(K_i) the mid-quote of the out-of-the-money option at strike KiK_i, K0K_0 the first strike at or below the forward FF, and the index equal to 100 σ100\,\sigma.

أمثلة

Example 25.9 (5 February 2018)

On Monday 5 February 2018 the S&P 500 fell 4% and the volatility index rose 20 points in the day. Exchange-traded products giving leveraged or inverse exposure to the front futures, with about $4 billion of assets at the end of 2017, had to rebalance at the end of the day, and, by the arithmetic of Proposition 14.10, both kinds had to buy futures after a rise. A central-bank analysis describes the resulting loop: their buying pushed the futures higher, which increased the amount they had to buy. The largest inverse product lost nearly all of its value in that session and was then terminated by its issuer.

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