Does the Fama and French Five‐Factor Model Work Well in Japan?

DOIhttp://doi.org/10.1111/irfi.12126
Date01 March 2018
AuthorHitoshi Takehara,Keiichi Kubota
Published date01 March 2018
Does the Fama and French Five-
Factor Model Work Well in Japan?*
KEIICHI KUBOTA
AND HITOSHI TAKEHARA
Graduate School of Strategic Management, Chuo University, Tokyo, Japan and
Graduate School of Business and Finance, Waseda University, Tokyo, Japan
ABSTRACT
In this study,we investigate whether the ve-factor model by Fama and French
(2015) explains well the pricing structure of stocks with long-run data for
Japan. We conduct standard cross-section asset pricing tests and examine
the additional explanatory power of the new Fama and French factors;
robust-minus-weak protability factor and conservative-minus-aggressive
investment factor. We nd that robust-minus-weak and the conservative-
minus-aggressive factors are not statistically signicant when we conduct
generalized method of moments (GMM) tests with the HansenJagannathan
distance measure. Thus, we conclude thatthe original version of the Fama and
French ve-factor model is not the best benchmark pricing model for Japanese
data during our sampling period from the year 1978to the year 2014.
I. INTRODUCTION
To date, the Fama and French three-factor model has been considered adequate
to explain the risk and return structure of stock data both for the USA (Fama
and French 1993) and Japan (Jagannathan et al. 1998, Kubota and Takehara
2010). However, Fama and French (2015) claim that their ve-factor model is
superior to their original three-factor model (Fama and French 2015) for US rms
with new and longer data from July 1963 to December 2013.
This paper explores the plausibility of this ve-factor model proposed by Fama
and French (2015) to determine whether this new model explains the long-run
data of Tokyo Stock Exchange rms from January 1978 to December 2014. We
duplicate the original denitions of the new two factors by Fama and French
(2015) in the context of nancial statements disclosed by Japanese rms follow-
ing Japanese GAAP and explore the explanatory power of their ve-factor model
when applied to Japanese data. We employ standard methodologies to choose
the best asset pricing model (Hansen and Jagannathan 1997, Gibbons et al.
1989, Cochrane 2005, Kubota and Takehara 2015).
* The authors acknowledge nancial support from the Grant-in-Aid for Scientic Research ((A)
25245052) from the Ministry of Education, Culture, Sports, Science, and Technology of Japan. Hitoshi
Takehara acknowledges nancial support from the Grant-in-Aid for Scientic Research ((C)
15 K03690). All remaining errors are our own.
© 2017 International Review of Finance Ltd. 2017
International Review of Finance, 2017
DOI: 10.1111/ir.12126
International Review of Finance, 18:1, 2018: pp. 137–146
DOI:10.1111/irfi .12126
© 2017 International Review of Finance Ltd. 2017

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