Fama-French共同风险因素投资组合投资者是否每天都会趋同?常见风险因素回归的含义

Chamil W. Senarathne
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引用次数: 1

摘要

本文的目的是检验Fama-French共同风险因素组合投资者是否在五个发达市场,即欧洲、日本、亚太地区(不包括日本)、北美和全球,每天都有羊群行为。设计/方法/方法为了检验常见风险因素组合投资者的羊群行为,本文采用了横断面绝对偏差(CSAD)方法,涵盖了1990年7月至2019年1月肯尼斯·r·法国数据图书馆的每日数据采样期。采用Fama-French五因子模型对基本信息和非基本信息驱动的CSAD进行了评价。研究结果表明,在正常市场条件下,无论是对基本信息还是对非基本信息的反应,对于任何考虑中的区域,结果都没有提供羊群效应的证据。然而,Fama-French共同风险因素组合投资者在危机期间模仿与欧洲和日本市场股票的规模和账面市值、规模和经营盈利能力、规模和投资以及规模和势头相关的回报中的潜在风险因素。此外,除了日本之外,没有发现在危机和高端市场条件下羊群效应(基本信息)的大量证据。在结论部分讨论了辅助发现。研究局限/启示进一步研究解释股票收益变化的新风险因素可能有助于提高模型的性能。可以通过增加新的风险因素来提高绩效,这些风险因素不受行为偏差的影响,但在解释普通股收益变化方面具有重要意义。此外,有必要重新审视现有的常见风险因素,以便了解可能影响资本成本计算(例如定价错误)和投资组合估值的行为方面。这是第一篇使用五因素模型研究Fama-French共同风险因素投资者的羊群行为(基本面和非基本面)的论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Do Fama–French common risk-factor portfolio investors herd on a daily basis? Implications for common risk-factor regressions
Purpose The purpose of this paper is to examine whether Fama–French common risk-factor portfolio investors herd on a daily basis for five developed markets, namely, Europe, Japan, Asia Pacific ex Japan, North America and Globe. Design/methodology/approach To examine the herd behavior of common risk-factor portfolio investors, this paper utilizes the cross-sectional absolute deviations (CSAD) methodology, covering a daily data sampling period of July 1990 to January 2019 from Kenneth R. French-Data Library. CSAD driven by fundamental and non-fundamental information is assessed using Fama–French five-factor model. Findings The results do not provide evidence for herding under normal market conditions, either when reacting to fundamental information or non-fundamental information, for any region under consideration. However, Fama–French common risk-factor portfolio investors mimic the underlying risk factors in returns related to size and book-to-market value, size and operating profitability, size and investment and size and momentum of the equity stocks in European and Japanese markets during crisis period. Also, no considerable evidence is found for herding (on fundamental information) under crisis and up-market conditions except for Japan. Ancillary findings are discussed under conclusion. Research limitations/implications Further research on new risk factors explaining stock return variation may help improve the model performance. The performance can be improved by adding new risk factors that are free from behavioral bias but significant in explaining common stock return variation. Also, it is necessary to revisit the existing common risk factors in order to understand behavioral aspects that may affect cost of capital calculations (e.g. pricing errors) and valuation of investment portfolios. Originality/value This is the first paper that examines the herd behavior (fundamental and non-fundamental) of Fama–French common risk-factor investors using five-factor model.
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