Multiperiod dynamic portfolio choice : when high dimensionality meets return predictability
| Year of publication: |
2025
|
|---|---|
| Authors: | He, Wenfeng ; Mei, Xiaoling ; Zhong, Wei ; Zhu, Huanjun |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 43.2025, 2, p. 351-364
|
| Subject: | Dimension reduction | Factor model | Model averaging | Portfolio selection | Semiparametric estimation | Portfolio-Management | Nichtparametrisches Verfahren | Nonparametric statistics | Kapitaleinkommen | Capital income | Prognoseverfahren | Forecasting model | Schätztheorie | Estimation theory | Faktorenanalyse | Factor analysis | Schätzung | Estimation | Kapitalmarktrendite | Capital market returns |
-
Factor state-space models for high-dimensional realized covariance matrices of asset returns
Gribisch, Bastian, (2020)
-
Mispricing, returns and the quest for parsimony
Qiu, Wanling, (2020)
-
New methods for testing, prediction, and estimation with applications to finance
Hediger, Simon, (2023)
- More ...
-
Mean-variance portfolio selection with estimation risk and transaction costs
Mei, Xiaoling, (2023)
-
Multiperiod Dynamic Portfolio Choice : When High Dimensionality Meets Return Predictability
He, Wenfeng, (2022)
-
Portfolio optimization with estimation errors : a robust linear regression approach
Du, Yilin, (2025)
- More ...