We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
An Overview of Machine Learning for Asset Management.
- Authors
Lee, Yongjae; Thompson, John R. J.; Kim, Jang Ho; Kim, Woo Chang; Fabozzi, Francesco A.
- Abstract
Machine learning has been widely used in the asset management industry to improve operations and make data-driven decisions. This article provides an overview of machine learning for asset management by presenting various machine learning models in the context of their applications, including general classification and regression, time-series forecasting, natural language processing, dimension reduction, reinforcement learning, data generation, recommendation, and clustering. Additionally, it highlights the challenges of implementing machine learning in asset management, such as data quality and quantity, interpretability, and fairness.
- Subjects
MACHINE learning; ASSET management; DATA quality; DATA mining; DECISION making
- Publication
Journal of Portfolio Management, 2023, Vol 49, Issue 9, p31
- ISSN
0095-4918
- Publication type
Article
- DOI
10.3905/jpm.2023.1.526