An empirical test of Fama-French three factors model in China stock market
School of Management Fudan University Shidian Yu Zhifeng Zeng
Abstract :
In this paper we mimicking reasonable proxies for the FF factors and employ a GMM testing
procedure in which the main focus of the tests is to assess the overriding validity of the restriction
s placed on the empirical model framework of FF model. First, the mimicking portfolios do
represent sources of exposure across a sample of industries portfolios. Second, based on the GMM
test performed on our sample, the evident is strongly support the three-factor Fama-French model.
Our main finding is the size risk premium that in China stock market is very significantly and
book-to-market risk premium also is significantly but not as strong as size. This is consistent with
many evidence of Fama-French examination of other country.
Keywords:
Asset pricing; Fama-French factors; GMM estimation.
(1)
Davis, J. 1994, `The cross-section of realised stock returns: The pre-COMPUSTAT evidence',
Journal of
Finance
, vol. 49, pp. 1579­93.
(2)
Fama, E. & French, K. 1992, `The cross-section of expected stock returns',
Journal of Finance
,vol. 47, pp.
427­67.
(3)
Fama, E. & French, K. 1993, `Common risk factors in the returns on stocks and bonds',
Journal of Financial
Economics
, vol. 33, pp. 3­56.
(4)
Fama, E. & French, K. 1995, `Size and book-to-market factors in earnings and returns',
Journal of Finance,
vol. 50, pp. 131­55.
(5)
Fama, E. & French, K. 1996, `Multifactor explanations of asset pricing anomalies',
Journal of Finance,
vol.
51, pp. 55­84.
(6)
Fama, E. & French, K. 1998, `Value versus growth: The international evidence',
Journal of Finance
, vol. 53,
pp. 1975­99.
(7)
He, J. & Ng, L. 1994, `Economic forces, fundamental variables and equity returns',
Journal of Business
, vol.
67, pp. 599­639.
(8)
MacKinlay, A.C. & Richardson, M. 1991, `Using generalized method of moments to test mean-variance
efficiency',
Journal of Finance
, vol. 46, pp. 511­27.