A new semiparametric estimation approach for large dynamic covariance matrices with multiple conditioning variables
Year of publication: |
[2018] ; Version: October 24, 2018
|
---|---|
Authors: | Chen, Jia ; Li, Degui ; Linton, Oliver |
Publisher: |
York : Department of Economics and Related Studies, University of York |
Subject: | Dynamic covariance matrix | MAMAR | Semiparametric estimation | Sparsity | Uniform consistency | Nichtparametrisches Verfahren | Nonparametric statistics | Schätztheorie | Estimation theory | Korrelation | Correlation |
-
Chen, Jia, (2018)
-
Chen, Jia, (2019)
-
Nonparametric estimation of large covariance matrices with conditional sparsity
Wang, Hanchao, (2021)
- More ...
-
Semiparametric dynamic portfolio choice with multiple conditioning variables
Chen, Jia, (2015)
-
Semiparametric model averaging of ultra-high dimensional time series
Chen, Jia, (2015)
-
Semiparametric Dynamic Portfolio Choice with Multiple Conditioning Variables
Chen, Jia, (2015)
- More ...