Incorporating global industrial classification standard into portfolio allocation : a simple factor-based large covariance matrix : estimator with high-frequency data
| Year of publication: |
October 2016
|
|---|---|
| Authors: | Fan, Jianqing ; Furger, Alex ; Xiu, Dacheng |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Alexandria, Va. : American Statistical Association, ISSN 0735-0015, ZDB-ID 876122-X. - Vol. 34.2016, 4, p. 489-503
|
| Subject: | Big data | Concentration inequality | GICS | High-frequency factor model | Location-based thresholding | Low rank plus sparse | Positive-definite | Precision matrix | SDPR sector ETF's | Korrelation | Correlation | Portfolio-Management | Portfolio selection | Schätztheorie | Estimation theory | Big Data | Faktorenanalyse | Factor analysis | Indexderivat | Index derivative |
-
Forecasting large realized covariance matrices : the benefits of factor models and shrinkage
Alves, Rafael P., (2024)
-
Beta-adjusted covariance estimation
Boudt, Kris, (2021)
-
Factor State-Space Models for High-Dimensional Realized Covariance Matrices of Asset Returns
Gribisch, Bastian, (2018)
- More ...
-
Fan, Jianqing, (2015)
-
Quasi Maximum Likelihood Estimation of GARCH Models with Heavy-Tailed Likelihoods
Fan, Jianqing, (2012)
-
Quasi-maximum likelihood estimation of GARCH models with heavy-tailed likelihoods
Fan, Jianqing, (2014)
- More ...