Do Fama–French common risk-factor portfolio investors herd on a daily basis? Implications for common risk-factor regressions. Issue 2 (11th November 2019)

• Record Type: Journal Article
• Authors: Senarathne, Chamil W.
• Is Part Of: Journal of capital markets studies. Volume 3:Issue 2(2019)
• Page Start: 137
• Page End: 156
• Publication Date: 2019-11-11
• Subjects: Herd behaviour -- Fundamental information -- CSAD -- Common risk factors -- Fama–French regression -- Financial crisis; Capital market -- Periodicals; 332.0415
• DOI: 10.1108/JCMS-06-2019-0034
• Languages: English
• ISSNs: 2514-4774

Abstract

Abstract : 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.