Forecasting stock returns : a time-dependent weighted least squares approach
Year of publication: |
2021
|
---|---|
Authors: | Wang, Yudong ; Hao, Xianfeng ; Wu, Chongfeng |
Published in: |
Journal of financial markets. - Amsterdam [u.a.] : Elsevier, ISSN 1386-4181, ZDB-ID 1402747-1. - Vol. 53.2021, p. 1-17
|
Subject: | Equity premium | Machine learning | Out-of-sample forecasting | Structural break | Weighted least squares | Prognoseverfahren | Forecasting model | Strukturbruch | Kapitaleinkommen | Capital income | Zeitreihenanalyse | Time series analysis | Künstliche Intelligenz | Artificial intelligence | Schätztheorie | Estimation theory | Risikoprämie | Risk premium | Kleinste-Quadrate-Methode | Least squares method |
-
Economic uncertainty and time-varying return predictability
Liu, Li, (2024)
-
Weighted least squares realized covariation estimation
Li, Yifan, (2022)
-
Dynamic econometrics in action: a biography of David F. Hendry
Ericsson, Neil R., (2021)
- More ...
-
Hao, Xianfeng, (2024)
-
Forecasting the stock risk premium : a new statistical constraint
Hao, Xianfeng, (2023)
-
Forecasting the real prices of crude oil : what is the role of parameter instability?
Wang, Yudong, (2023)
- More ...