Covariance Matrix Estimation under Total Positivity for Portfolio Selection
<jats:title>Abstract</jats:title> <jats:p>Selecting the optimal Markowitz portfolio depends on estimating the covariance matrix of the returns of N assets from T periods of historical data. Problematically, N is typically of the same order as T, which makes the sample covariance ma...
Main Authors: | Agrawal, Raj (Author), Roy, Uma (Author), Uhler, Caroline (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Oxford University Press (OUP),
2022-07-21T13:17:57Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
The Estimation of Covariance Matrix and the Construction of Currency Portfolio
by: Kun-Yi Wu, et al.
Published: (2014) -
The Estimation of Covariance Matrix and the Performance of Optimal portfolio
by: Yi-Ru Yang, et al.
Published: (2010) -
Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters
by: Wang, Yuhao, et al.
Published: (2022) -
The Impact of Estimating Covariance Matrix on Efficient Frontier and Investment Portfolio
by: 葉冠廷 -
Improved Large Dynamic Covariance Matrix Estimation With Graphical Lasso and Its Application in Portfolio Selection
by: Xin Yuan, et al.
Published: (2020-01-01)