G2TT
来源类型Discussion paper
规范类型论文
来源IDDP12417
DP12417 A Portfolio Perspective on the Multitude of Firm Characteristics
Victor DeMiguel; Alberto Martin-Utrera
发表日期2017-11-01
出版年2017
语种英语
摘要Hundreds of variables have been proposed to predict the cross-section of stock returns; see, for instance, Harvey, Liu, and Zhu (2015), McLean and Pontiff (2016), and Hou, Xue, and Zhang (2016). Our goal is to investigate which firm-specific characteristics matter jointly from a portfolio perspective; that is, from the perspective of an investor who cares not only about average returns but also about portfolio risk, transaction costs, and out-of-sample performance. To achieve our goal, we consider a dataset with 100 firm-specific characteristics and focus on three research questions. First, which characteristics are jointly significant from a portfolio perspective and why? Second, how does the answer to this question change with transaction costs? Third, can an investor identify ex-ante combinations of characteristics that result in good out-of-sample performance? We find only a small number of characteristics—six—are significant without transaction costs. With transaction costs, the number of significant characteristics increases to 15 because the trades in the underlying stocks required to rebalance different characteristics often net out. We show how investors can identify combinations of characteristics with abnormal out-of-sample returns net of transaction costs that are not fully explained by the Fama and French (2015) and Hou, Xue, and Zhang (2014) factors.
主题Financial Economics
关键词Anomalies Transaction costs Out of sample performance Risk
URLhttps://cepr.org/publications/dp12417
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/541226
推荐引用方式
GB/T 7714
Victor DeMiguel,Alberto Martin-Utrera. DP12417 A Portfolio Perspective on the Multitude of Firm Characteristics. 2017.
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