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配对交易(统计套利)×风险均值(等风险贡献)投资组合模型×
领域金融学金融学
方法族Regression modelRegression model
起源年份20062010
提出者Gatev, Goetzmann & Rouwenhorst (empirical rule); Vidyamurthy (quantitative framing)Maillard, Roncalli & Teïletche (2010); popularised by Qian (2005) and Bridgewater All Weather
类型Cointegration-based mean-reversion trading strategyPortfolio weighting model (risk budgeting)
开创性文献Gatev, E., Goetzmann, W. N. & Rouwenhorst, K. G. (2006). Pairs Trading: Performance of a Relative-Value Arbitrage Rule. Review of Financial Studies, 19(3), 797–827. DOI ↗Maillard, S., Roncalli, T. & Teïletche, J. (2010). The Properties of Equally Weighted Risk Contribution Portfolios. Journal of Portfolio Management, 36(4), 60–70. DOI ↗
别名statistical arbitrage, relative-value arbitrage, mean-reversion pairs strategy, Çift Alım-Satım Stratejisi (Pairs Trading / Statistical Arbitrage)equal risk contribution, ERC portfolio, risk budgeting, All Weather strategy
相关53
摘要Pairs trading is a quantitative trading strategy that takes a long-short position on two cointegrated assets when the gap (spread) between their prices shows mean reversion. It was popularised as a relative-value arbitrage rule by Gatev, Goetzmann and Rouwenhorst (2006) and framed quantitatively by Vidyamurthy (2004).Risk parity is a portfolio weighting model, formalised by Maillard, Roncalli and Teïletche (2010), in which every asset contributes an equal share of the total portfolio risk. It needs only the covariance (risk) structure of the assets and no forecast of expected returns, and it underpins Bridgewater's All Weather strategy.
ScholarGate数据集
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  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

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ScholarGate方法对比: Pairs Trading · Risk Parity Portfolio. 于 2026-06-19 检索自 https://scholargate.app/zh/compare