From Factor Models to Deep Learning: Machine Learning in Reshaping Empirical Asset Pricing
By Junyi Ye, Bhaskar Goswami, Jingyi Gu, Ajim Uddin, Guiling Wang
Rating
1005
Battle Count: 136
Relevance
9/10
Highly relevant as it provides a comprehensive overview of machine learning applications in asset pricing and portfolio optimization.
Implementation Complexity
7/10
The paper covers a wide range of models and techniques, some of which are complex to implement and require significant computational resources.
Reproducibility
3/5
The paper is a survey, so reproducibility is not directly applicable. However, it provides references to original works.
About this paper
Methodology: Literature Review and Analysis. Problem types: Regression, Classification, Time Series Forecasting, Dimensionality Reduction, Ranking, Portfolio Optimization, Risk Management.
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