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Analysis of US Sector of Services with a New Fama-French 5-Factor Model
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作者 Quan Yang Liuling Li +1 位作者 Qingyu Zhu bruce mizrach 《Applied Mathematics》 2017年第9期1307-1319,共13页
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 c... 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). 展开更多
关键词 FAMA-FRENCH 5-Factor Model (FF5) Standardized Standard ASYMMETRIC EXPONENTIAL Power Distribution (SSAEPD) EGARCH
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Analysis of 48 US Industry Portfolios with a New Fama-French 5-Factor Model
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作者 Liuling Li Xiao Rao +1 位作者 Wentao Zhou bruce mizrach 《Applied Mathematics》 2017年第11期1684-1702,共19页
In this paper, we analyze US stock market with a new 5-factor model in Zhou and Li (2016) [1]. Data we use are 48 industry portfolios (Jul. 1963-Jan. 2017). Parameters are estimated by MLE. LR and KS are used for mode... In this paper, we analyze US stock market with a new 5-factor model in Zhou and Li (2016) [1]. Data we use are 48 industry portfolios (Jul. 1963-Jan. 2017). Parameters are estimated by MLE. LR and KS are used for model diagnostics. Model comparison is done with AIC. The results show Fama-French 5 factors are still alive. This new model in Zhou and Li (2016) [1] fits the data better than the one in Fama and French (2015) [2]. 展开更多
关键词 FAMA-FRENCH 5-Factor Model (FF5) Standardized Standard ASYMMETRIC EXPONENTIAL Power Distribution (SSAEPD) GARCH
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