In this paper, we empirically test a new model with the data of US services sector,
which is an extension of the 5-factor model in Fama and French (2015) [1].
3 types of 5 factors (Global, North American and US) are compared. Empirical
results show the Fama-French 5 factors are still alive! The new model has better
in-sample fit than the 5-factor model in Fama and French (2015).
References
[1]
Fama, E.F. and French, K.R. (2015a) A Five-Factor Asset Pricing Model. Journal of Financial Economics, 116, 1-22.
[2]
Sharpe, W.F. (1964) Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk. Journal of Finance, 19, 425-442.
[3]
Lintner, J. (1965) The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets. Review of Economics and Statistics, 47, 13-37.
[4]
Carhart, M.M. (1997) On Persistence in Mutual Fund Performance. Journal of Finance, 52, 57-82.
[5]
Chan, H.W. and Faff, R.W. (2005) Asset Pricing and the Illiquidity Premium. Financial Review, 40, 429-458.
[6]
Gregory, C., Hagmann, M. and Linton, O. (2012) Efficient Semiparametric Estimation of the Fama-French Model and Extensions. Journal of the Econometric, 80, 713-754.
[7]
Hou, K., Xue, C. and Zhang, L. (2015) Digesting Anomalies: An Investment Approach. Review of Financial Studies, 28, 650-705.
https://doi.org/10.1093/rfs/hhu068
[8]
Hou, K, Xue, C. and Zhang, L. (2014) A Comparison of New Factor Models. Social Science Electronic Publishing, Rochester, NY.
[9]
Singh, S. and Yadav, S.S. (2015) Indian Stock Market and the Asset Pricing Models. Procedia Economics & Finance, 30, 294-304.
https://doi.org/10.1016/S2212-5671(15)01297-6
[10]
Chiah, M., Chai, D., Zhong, A. and Li, S. (2016) A Better Model? An Empirical Investigation of the Fama-French Five-Factor Model in Australia. International Review of Finance, 16, 595-638.
[11]
Fama, E.F. and French, K.R. (2017) International Tests of a Five-Factor Asset Pricing Model. Journal of Financial Economics, 123, 441-463.
https://doi.org/10.1016/j.jfineco.2016.11.004
[12]
Guo, B., Zhang, W., Zhang, Y.J. and Zhang, H. (2017) The Five-Factor Asset Pricing Model Tests for the Chinese Stock Market. Pacific-Basin Finance Journal, 43, 84-106. https://doi.org/10.1016/j.pacfin.2017.02.001
[13]
Li, L., Zhu, Q.Y. and Yang, Y.J. (2017) An Extension of FAMA and French 5-Factor Model Based on the SSAEPD Errors and the EGARCH-Type Volatilities. Asian Academic Research Association, Journal of Multidisciplinary (AARJMD), 4, 184-203.
[14]
Zhu, D. and Zinde-Walsh, V. (2009) Properties and Estimation of Asymmetric Exponential Power Distribution. Journal of Econometrics, 148, 86-99.
https://doi.org/10.1016/j.jeconom.2008.09.038
[15]
Nelson, D.B. (1991) Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59, 347-370. https://doi.org/10.2307/2938260
[16]
Fama, E.F. and French. K.R. (1992) The Cross-Section of Expected Stock Returns. Journal of Finance, 47, 427-465. https://doi.org/10.1111/j.1540-6261.1992.tb04398.x
[17]
Griffin, J.M. (2002) Are the Fama and French Factors Global or Country Specific? Review of Financial Studies, 15, 783-803. https://doi.org/10.1093/rfs/15.3.783
[18]
Chan, H.W. and Faff, R.W. (2003) An Investigation into the Role of Liquidity in Asset Pricing: Australian Evidence. Pacific-Basin Finance Journal, 11, 555-572.
https://doi.org/10.1016/S0927-538X(03)00003-9
[19]
Fama, E.F. and French, K.R. (2012) Size, Value, and Momentum in International Stock Returns. Journal of Financial Economics, 105, 457-472.
https://doi.org/10.1016/j.jfineco.2012.05.011
[20]
Chai, D., Faff, R. and Gharghori, P. (2013) Liquidity in Asset Pricing: New Australian Evidence Using Low-Frequency Data. Australian Journal of Management, 38, 375-400. https://doi.org/10.1177/0312896213489143
[21]
Fama, E.F. and French, K.R. (2013) A Four-Factor Model for the Size, Value, and Profitability Patterns in Stock Returns. SSRN Electronic Journal.
[22]
Neyman, J. and Pearson, E.S. (1993) On the Problem of the Most Efficient Tests of Statistical Hypotheses. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 231, 289-337.
https://doi.org/10.1098/rsta.1933.0009