Complexity in Factor Pricing Models
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We theoretically characterize the behavior of machine learning asset pricing models. We prove that expected out-of-sample model performancein terms of SDF Sharpe ratio and test asset pricing errorsis improving in model parameterization (or complexity). Our empirical findings verify the theoretically
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美国国家经济研究局创建时间:
2023-09-01



