Cross-sectional expected returns : new Fama-MacBeth regressions in the era of machine learning
Year of publication: |
2024
|
---|---|
Authors: | Han, Yufeng ; He, Ai ; Rapach, David E. ; Zhou, Guofu |
Published in: |
Review of finance : journal of the European Finance Association. - Oxford : Oxford University Press, ISSN 1875-824X, ZDB-ID 2214390-7. - Vol. 28.2024, 6, p. 1807-1831
|
Subject: | penalized regression | forecast combination | forecast encompassing | characteristic payoff | cross- sectional out-of-sample R2 statistic | Regressionsanalyse | Regression analysis | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Zeitreihenanalyse | Time series analysis | Schätztheorie | Estimation theory | Prognose | Forecast | Statistischer Test | Statistical test | Kapitaleinkommen | Capital income |
-
Testing for episodic predictability in stock returns
Demetrescu, Matei, (2022)
-
A new test for multiple predictive regression
Xu, Ke-Li, (2024)
-
Bonferroni-type tests for return predictability with possibly trending predictors
Astill, Sam, (2025)
- More ...
-
Shrinking factor dimension : a reduced-rank approach
He, Ai, (2023)
-
Diagnostics for asset pricing models
He, Ai, (2023)
-
Mispricing and Anomalies : An Exogenous Shock to Short Selling from JGTRRA
Han, Yufeng, (2021)
- More ...