CAN MACHINES "LEARN" FINANCE?

被引：0

作者：

Israel, Ronen ^{[1
]}

Kelly, Bryan ^{[1
,2
]}

Moskowitz, Tobias ^{[1
,2
]}

机构：

[1] AQR Capital Management LLC, Greenwich, CT 06830 USA

[2] Yale Univ, New Haven, CT 06520 USA

来源：

JOURNAL OF INVESTMENT MANAGEMENT | 2020年 / 18卷 / 02期

关键词：

Asset Pricing Models; Earnings; Liquidity; Anomalies; Goodness of Fit; Cross-Sectional Performance;

D O I：

暂无

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

摘要：

Machine learning for asset management faces a unique set of challenges that differ markedly from other domains where machine learning has excelled. Understanding these differences is critical for developing impactful approaches and realistic expectations for machine learning in asset management. We discuss a variety of beneficial use cases and potential pitfalls, and emphasize the importance of economic theory and human expertise for achieving success through financial machine learning.

引用

页码：23 / 36

页数：14

共 25 条

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