Cross-validated covariance estimators for high-dimensional minimum-variance portfolios
Year of publication: |
2021
|
---|---|
Authors: | Husmann, Sven ; Shivarova, Antoniya ; Steinert, Rick |
Published in: |
Financial markets and portfolio management. - Norwell, Mass. : Springer, ISSN 2373-8529, ZDB-ID 2097963-0. - Vol. 35.2021, 3, p. 309-352
|
Subject: | Covariance estimation | Portfolio optimization | High dimensionality | Cross-validation | Portfolio-Management | Portfolio selection | Schätztheorie | Estimation theory | Varianzanalyse | Analysis of variance | Korrelation | Correlation | Kapitaleinkommen | Capital income |
-
Realized regression with asynchronous and noisy high frequency and high dimensional data
Chen, Dachuan, (2024)
-
Advances in estimating covariance matrices
Menchero, Jose, (2021)
-
The benefits of improved covariance estimation
Turtle, Harry J., (2016)
- More ...
-
Sparsity and stability for minimum-variance portfolios
Husmann, Sven, (2022)
-
Efficient modeling and forecasting of electricity spot prices
Ziel, Florian, (2015)
-
Ziel, Florian, (2015)
- More ...