所属栏目:资本市场/资产定价

摘要

We utilize the Bayesian model scan approach to examine the best performing models in a set of 15 factors discovered in the literature, plus principal components (PCs) of anomalies unexplained by the initial factors in the Chinese A-share market. The Bayesian comparison of approximately eight million models shows that HML, MOM, IA, EG, PEAD, SMB, VMG,PMO, plus the four PCs, PC1, PC6, PC7, PC8 are the best supported specification in terms of marginal likelihoods and posterior model probabilities. We also find that the best model outperforms existing factor models in terms of pricing tests and out-of-sample Sharpe ratio.
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Yan Qian; Jinzhe Wang; Lixia Wu; Yifeng Zhu Cracking the Code: Bayesian Evaluation of Millions of Factor Models in China (2025年07月07日) https://www.cfrn.com.cn/lw/16291

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