Empirical Asset Pricing via Machine Learning

Shihao Gu
Bryan Kelly
Dacheng Xiu

methods:
item is asset (one asset level)
1 predictors –> return –> portfolio selection

2 predictors –> covariance –> portfolio selection
Can Machine Learning-Based Portfolios Outperform Traditional
Risk-Based Portfolios?

3 predictors –> return covariance, skewness… –> portfolio selection

item is portfolio (portfolios level)
4 preditors –> portfolios’ return –> portfolio selection
5 predictors –> portfolios’ attributes –> portfolio selection