Diversifying Trends

Charles-Marie Chevalier, S. Darolles
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引用次数: 1

Abstract

This paper provides a new method to disentangle the systematic component from the idiosyncratic part of the risk associated with trend following strategies. A simple statistical approach, combined with standard dimension reduction techniques, enables us to extract the common trending part in any asset price. We apply this methodology on a large set of futures, covering all the major asset classes, and extract a common risk factor, called CoTrend. We show that common trends are higher for some cross-asset class pairs than from intra-asset class ones, such as JPY/USD and Gold. This result helps to create sectors in a portfolio diversification context, especially for trend following strategies. In addition, the CoTrend factor helps to understand arbitrage-based hedge fund strategies, which by essence are decorrelated with the standard risk factors.
多元化的趋势
本文提供了一种新的方法,将与趋势跟随策略相关的风险的系统性部分与特质部分分离开来。一个简单的统计方法,结合标准降维技术,使我们能够提取任何资产价格的共同趋势部分。我们将这种方法应用于涵盖所有主要资产类别的大量期货,并提取一个共同的风险因素,称为CoTrend。我们表明,一些跨资产类别对的共同趋势高于资产类别内的趋势,例如日元/美元和黄金。这一结果有助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,其本质上是与标准风险因子去相关的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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