Glass Box Machine Learning and Corporate Bond Returns
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Machine learning methods in asset pricing are often criticized for their black box nature. We study this issue by predicting corporate bond returns using interpretable machine learning on a high-dimensional bond charac-teristics data set. We achieve state-of-the-art performance while maintaining an
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美国国家经济研究局创建时间：
2024-12-01
