Machine Learning Factor Models
Machine Learning Factor Models is a factor model in finance that distinguishes itself by using machine learning algorithms to identify and estimate latent risk factors from large-dimensional datasets, thereby enhancing predictive accuracy and model flexibility compared to traditional statistical or economic theory-driven approaches.
73
Publications
3.1K
Citations
193
Authors
118
Institutions
Publications per year
2017–2026
57
Parents
73
Autoencoder asset pricing models
Shihao Gu, Bryan Kelly, Dacheng Xiu · Journal of Econometrics · 2020 · 427 citations
How is machine learning useful for macroeconomic forecasting?
Philippe Goulet Coulombe, Maxime Leroux, Dalibor Stevanović et al. · Journal of Applied Econometrics · 2022 · 216 citations · Full text
Computing, Economics, Forecasting +16
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118
University of Chicago
Chicago, United States
8 h-index
15 publications
1.5K citations
Yale University
New Haven, United States
4 h-index
5 publications
845 citations
Tsinghua University
Beijing, China
3 h-index
14 publications
480 citations
Princeton University
Princeton, United States
3 h-index
4 publications
220 citations

City University of Hong Kong
Hong Kong, Hong Kong
3 h-index
5 publications
254 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
2 publications
55 citations
The University of Tokyo
Tokyo, Japan
2 h-index
6 publications
150 citations
Columbia University
New York, United States
2 h-index
2 publications
64 citations
1–8 of 118
Repository · 8 publications · 205 citations
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Repository · 4 publications · 114 citations
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3 publications · 163 citations
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2 publications · 76 citations
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2 publications · 505 citations
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