A factor-based estimation of integrated covariance matrix with noisy high-frequency data
Year of publication: |
2022
|
---|---|
Authors: | Sun, Yucheng ; Xu, Wen |
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. 40.2022, 2, p. 770-784
|
Subject: | Portfolio selection | High-dimensional covariance matrix | Principal orthogonal complement thresholding estimator | Principle component analysis | Realized kernels | Korrelation | Correlation | Portfolio-Management | Schätztheorie | Estimation theory | Varianzanalyse | Analysis of variance | Kapitaleinkommen | Capital income | Zeitreihenanalyse | Time series analysis | Schätzung | Estimation |
Description of contents: | Description [tandfonline.com] |
-
Beta-adjusted covariance estimation
Boudt, Kris, (2021)
-
Dynamic covariance matrix estimation and portfolio analysis with high-frequency data
Jiang, Binyan, (2024)
-
Advances in estimating covariance matrices
Menchero, Jose, (2021)
- More ...
-
Identifying latent factors based on high-frequency data
Sun, Yucheng, (2023)
-
Brownlees, Christian, (2018)
-
On the Estimation of Integrated Volatility in the Presence of Jumps and Microstructure Noise
Brownlees, Christian T., (2019)
- More ...