A New Fama-French 5-Factor Model Based on SSAEPD Error and GARCH-Type VolatilityReport as inadecuate




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In this paper, we extend the 5-factor model in Fama and French 2015 with the non-Normal errors distribution of SSAEPD Standardized Standard Asymmetric Exponential Power Distribution in Zhu and Zinde-Walsh 2009 and the GARCH-type volatility. The focus is on finding out whether our new model can outperform the original Fama-French 5-factor model. We use Fama-French 25 value-weighted portfolios to conduct our research. The MLE is used to estimate the parameters. The LR test and KS test are used for model diagnostics. Models are compared by AIC. Empirical results show that with GARCH-type volatilities and non-normal errors, the Fama-French 5 factors are still alive. Our new model can successfully capture the skewness, fat-tailness and asymmetric kurtosis in the data and has better in-sample fit than the 5-factors model in Fama and French 2015. Our study provides an update to existing asset pricing literature and reference for investors.

KEYWORDS

Fama-French 5-Factor Model FF5, Standardized Standard Asymmetric Exponential Power Distribution SSAEPD, GARCH, Asset Pricing

Cite this paper

Zhou, W. and Li, L. 2016 A New Fama-French 5-Factor Model Based on SSAEPD Error and GARCH-Type Volatility. Journal of Mathematical Finance, 6, 711-727. doi: 10.4236-jmf.2016.65050.





Author: Wentao Zhou1, Liuling Li2

Source: http://www.scirp.org/



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