Information Ratio = Selection × Breadth + Sizing

IF 1.1 4区 经济学 Q3 BUSINESS, FINANCE Journal of Portfolio Management Pub Date : 2023-06-24 DOI:10.3905/jpm.2023.1.517
Giuseppe A. Paleologo
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Abstract

Factor-based performance attribution is an established practice among quantitative and fundamental strategies alike. Although popular, this attribution technique is not of great help to investors interested in understanding the source of their idiosyncratic performance. Of special interest is the ability to separate stock selection skill and sizing skill. Methods aimed at measuring these skills are inspired by analogies to sports. In this article, the author presents an exact decomposition of the information ratio. The IR is the sum of a breadth-adjusted stock selection skill and a sizing skill. The definition of breadth relies on an intuitive measure of concentration—the Herfindahl Index—rather than on the “square root of n” measure. These quantities can be compared so that portfolio managers can determine the percentage of their realized performance originating from each term. In addition, the decomposition empowers managers to improve their risk-adjusted performance by choosing optimal position sizing, determined by the observed performance of their portfolio. Finally, the decomposition can be further extended to long–short analysis, and provides a natural explanation of an empirical phenomenon: The idiosyncratic performance of the long side of a strategy is often larger than that of the short side.
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信息比率=选择×宽度+大小
基于因素的绩效归因是定量策略和基本策略中的一种既定做法。尽管这种归因技术很受欢迎,但对于有兴趣了解其特殊表现来源的投资者来说,并没有太大帮助。特别感兴趣的是区分选股技巧和尺码技巧的能力。旨在衡量这些技能的方法受到了体育类比的启发。在这篇文章中,作者提出了一个信息比率的精确分解。IR是广度调整后的选股技巧和尺码技巧的总和。广度的定义依赖于一种直观的集中度度量——赫芬达尔指数,而不是“n的平方根”度量。可以对这些数量进行比较,以便投资组合经理可以确定其每个任期实现业绩的百分比。此外,分解使管理者能够通过选择由观察到的投资组合业绩决定的最佳头寸规模来提高其风险调整后的业绩。最后,分解可以进一步扩展到长短分析,并为经验现象提供了一个自然的解释:策略的长边的特质表现往往大于短边的特质。
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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来源期刊
Journal of Portfolio Management
Journal of Portfolio Management Economics, Econometrics and Finance-Finance
CiteScore
2.20
自引率
28.60%
发文量
113
期刊介绍: Founded by Peter Bernstein in 1974, The Journal of Portfolio Management (JPM) is the definitive source of thought-provoking analysis and practical techniques in institutional investing. It offers cutting-edge research on asset allocation, performance measurement, market trends, risk management, portfolio optimization, and more. Each quarterly issue of JPM features articles by the most renowned researchers and practitioners—including Nobel laureates—whose works define modern portfolio theory.
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