सभी किताबें

1 Primary & Middle School Mathematicsकक्षा 1–9 ऑनलाइन 2 High School Mathematicsकक्षा 10–12 ऑनलाइन 3 University Mathematics — Year 1स्नातक वर्ष 1 ऑनलाइन 4 University Mathematics — Year 2स्नातक वर्ष 2 ऑनलाइन 5 University Mathematics — Year 3स्नातक वर्ष 3 ऑनलाइन

1 Primary & Middle School Physicsकक्षा 1–9 ऑनलाइन 2 High School Physicsकक्षा 10–12 ऑनलाइन 3 University Physics — Year 1स्नातक वर्ष 1 ऑनलाइन 4 University Physics — Year 2स्नातक वर्ष 2 ऑनलाइन 5 University Physics — Year 3स्नातक वर्ष 3 ऑनलाइन

1 Primary & Middle School Biologyकक्षा 1–9 ऑनलाइन 2 High School Biologyकक्षा 10–12 ऑनलाइन 3 University Biology — Year 1स्नातक वर्ष 1 ऑनलाइन 4 University Biology — Year 2स्नातक वर्ष 2 ऑनलाइन 5 University Biology — Year 3स्नातक वर्ष 3 ऑनलाइन

1 Markets I: The Ecosystem and Exchange-Traded Marketsबाज़ार ऑनलाइन 2 Markets II: Rates, FX and Creditबाज़ार ऑनलाइन 3 Markets III: Commodities, Energy and Cryptoबाज़ार ऑनलाइन 4 Quantitative Methodsविधियाँ ऑनलाइन 5 Derivatives and Volatilityडेरिवेटिव्स ऑनलाइन 6 Rates, Credit, XVA and Riskब्याज दरें, क्रेडिट और जोखिम ऑनलाइन 7 Research Craft: Predictors, Backtests, Measurement, Portfoliosअनुसंधान ऑनलाइन 8 Strategies I: Equities and Futuresरणनीतियाँ ऑनलाइन 9 Strategies II: Volatility, Relative Value, Macro and the Bank Desksरणनीतियाँ ऑनलाइन 10 Microstructure and Executionनिष्पादन ऑनलाइन 11 Market Making and High-Frequency Tradingमार्केट मेकिंग ऑनलाइन 12 Machine Learning for Marketsमशीन लर्निंग ऑनलाइन 13 Low-Latency Softwareतकनीक ऑनलाइन 14 Networks, Hardware and Trading Infrastructureतकनीक ऑनलाइन 15 Research, Data and Risk Platformsतकनीक ऑनलाइन 16 The Desk and the Firmफ़र्म ऑनलाइन 17 The Industry: Firms, Roles and Careersकरियर ऑनलाइन 18 The Interview Bookकरियर ऑनलाइन

सभी गेम Math Fuse Word Reactor Atlas Dash

ऐप्स परिचय

Coach

English Français Español Nederlands Português हिन्दी العربية Bahasa Indonesia

लॉग इन पढ़ना शुरू करें

Quantitative Finance · शब्दावली

Mean-reversion speed filter क्या है?

Definition 3.3 Strategies I: Equities and Futures · अध्याय 3 — Residual and Principal-Component Stat Arb

A mean-reversion speed filter trades a stock’s s-score only when its fitted mean-reversion speed is high enough that the reversion is expected well within the estimation window; Avellaneda and Lee required $\kappa > 252/30 = 8.4$ , a mean-reversion time under half the sixty-day window ( $0 < b < 0.9672$ ).

Figure 3.1. The sector-index s-score book with a planted mean-reverting share of 0.3. Left: Sharpe ratio against the entry threshold. Right: net Sharpe ratio against the speed filter’s largest allowed mean-reversion time (30 days is Avellaneda and Lee’s); labels give the percentage of fits kept. Data: s1_residarb.run.

One synthetic stock’s s-score (against its sector index, not centred) over a year, with the entry thresholds dashed; the step line is the position (up long, down short, drawn at ± 2.6). Data: s1_residarb.path. — Figure 3.2. One synthetic stock’s s-score (against its sector index, not centred) over a year, with the entry thresholds dashed; the step line is the position (up long, down short, drawn at $\pm 2.6$ ). Data: s1_residarb.path.

अध्याय में पढ़ें →