Diversifying Trends

IF 2 Q2 ECONOMICS
Charles Chevalier , Serge Darolles
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引用次数: 0

Abstract

A new method is proposed for disentangling the systematic components from the idiosyncratic components of risk associated with trend-following strategies. A simple statistical approach combined with standard dimension reduction techniques enables to identify the common trending component of futures market prices. This methodology is applied to a large set of futures, covering all asset classes, to extract a common risk factor, called CoTrend. It is shown that common trends are higher for some cross-asset class pairs than for intra-asset class pairs, such as JPY/USD and Gold. This result is used to create sectors in a portfolio diversification context, especially for trend-following strategies. Additionally, the CoTrend factor helps understand arbitrage-based Hedge Fund strategies, which by essence are decorrelated from standard risk factors.
多元化的趋势
提出了一种新的方法,用于从与趋势跟踪策略相关的风险的特殊成分中分离出系统成分。简单的统计方法与标准降维技术相结合,可以识别期货市场价格的共同趋势成分。这种方法适用于涵盖所有资产类别的大量期货,以提取一个共同的风险因素,称为CoTrend。研究表明,一些跨资产类别货币对的共同趋势高于资产类别内货币对,如日元/美元和黄金。该结果用于在投资组合多样化背景下创建部门,特别是对于趋势跟踪策略。此外,CoTrend因子有助于理解基于套利的对冲基金策略,其本质上与标准风险因子无关。
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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
84
期刊介绍: Econometrics and Statistics is the official journal of the networks Computational and Financial Econometrics and Computational and Methodological Statistics. It publishes research papers in all aspects of econometrics and statistics and comprises of the two sections Part A: Econometrics and Part B: Statistics.
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