Can Machines 'Learn' Finance?
Journal of Investment Management
21 Pages Posted: 2 Jul 2020 Last revised: 5 Mar 2021
Date Written: January 10, 2020
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.
Suggested Citation: Suggested Citation
Israel, Ronen and Kelly, Bryan T. and Moskowitz, Tobias J. and Moskowitz, Tobias J., Can Machines 'Learn' Finance? (January 10, 2020). Journal of Investment Management, Available at SSRN: https://ssrn.com/abstract=3624052 or http://dx.doi.org/10.2139/ssrn.3624052
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