因子(编程语言)
计量经济学
计算机科学
经济
程序设计语言
作者
Kewei Hou,Xue Chen,Lu Zhang
出处
期刊:Social Science Research Network
[Social Science Electronic Publishing]
日期:2014-01-01
被引量:158
摘要
Using hundreds of significant anomalies as testing portfolios, this paper compares the performance of major empirical asset pricing models. The q-factor model and a closely related five-factor model are the two best performing models among a long array of models. The q-factor model outperforms the five-factor model in factor spanning tests and in explaining momentum and profitability anomalies, but the five-factor model has an edge in explaining value-versus-growth anomalies. Investment and profitability, not liquidity, are the key driving forces in the broad cross section of expected stock returns.
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