可预测性
投资业绩
文件夹
投资策略
风险-回报谱
库存(枪支)
常量(计算机编程)
股票市场
对比度(视觉)
计算机科学
计量经济学
预期收益
投资回报率
经济
金融经济学
微观经济学
数学
财务
统计
工程类
人工智能
市场流动性
生产(经济)
马
机械工程
古生物学
程序设计语言
生物
作者
Francisco Peñaranda,Liuren Wu
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2021-02-16
卷期号:68 (2): 1537-1555
标识
DOI:10.1287/mnsc.2020.3904
摘要
We study market-timing strategies on a given portfolio to achieve a particular risk or return target. Targeting a constant risk level leads to increasing investment at better investment opportunities, whereas targeting a constant expected return does the opposite. Theoretical and numerical analysis shows that within the usual ranges of investment opportunities, risk targeting generates better unconditional performance than return targeting across a wide range of metrics. Empirical analysis with commonly constructed stock portfolios further highlights the practical infeasibility of return targeting due to the inherently low out-of-sample predicting power. By contrast, risk targeting tends to enhance unconditional stability and performance. This paper was accepted by Kay Giesecke, finance.
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