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【RFS】回归可预测性的横截面和时间序列检验:有什么区别?

[发布日期]:2018-06-11  [浏览次数]:

The Review of Financial Studies, Volume 31, Issue 5, 1 May 2018, Pages 1784–1824

回归可预测性的横截面和时间序列检验:有什么区别?

作者:Amit Goyal(University of Lausanne, University of Lausanne,), Narasimhan Jegadeesh (Emory University)

摘要: 我们比较了基于过去回报的时间序列(TS)和横截面(CS)策略的表现。CS策略是零净投资的多/空策略,而TS策略对风险资产进行时变净投资。对于个股来说,TS和CS策略表现的差异主要是由于这种时变的净投资。由于多种国际资产类别具有异质的收益分布,规模化的CS策略表现显著优于类似规模的TS战略。

Cross-Sectional and Time-Series Tests of Return Predictability: What Is the Difference?

Amit Goyal(University of Lausanne, University of Lausanne,); Narasimhan Jegadeesh(Emory University)

ABSTRACT

We compare the performance of time-series (TS) and cross-sectional (CS) strategies based on past returns. While CS strategies are zero-net investment long/short strategies, TS strategies take on a time-varying net long investment in risky assets. For individual stocks, the difference between the performances of TS and CS strategies is largely due to this time-varying net long investment. With multiple international asset classes with heterogeneous return distributions, scaled CS strategies significantly outperform similarly scaled TS strategies.

原文链接:https://academic.oup.com/rfs/article-abstract/31/5/1784/4636242?redirectedFrom=fulltext

翻译:黄涛



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