The Lasso and the Factor Zoo-Predicting Expected Returns in the Cross-Section
We investigate whether Lasso-type linear methods are able to improve the predictive accuracy of OLS in selecting relevant firm characteristics for forecasting the future cross-section of stock returns. Through extensive Monte Carlo simulations, we show that Lasso-type predictions are superior to OLS...
Main Authors: | Marcial Messmer, Francesco Audrino |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-11-01
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Series: | Forecasting |
Subjects: | |
Online Access: | https://www.mdpi.com/2571-9394/4/4/53 |
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