A Closer Look at the Minimum-Variance Portfolio Optimization Model
Recently, by imposing the regularization term to objective function or additional norm constraint to portfolio weights, a number of alternative portfolio strategies have been proposed to improve the empirical performance of the minimum-variance portfolio. In this paper, we firstly examine the relati...
Main Author: | Zhifeng Dai |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/1452762 |
Similar Items
-
Examining the Efficiency of Portfolio Optimization using Model of Minimum-Variance and N/1 in Portfolio Selection
by: Reza Raei, et al.
Published: (2018-12-01) -
Minimum Variance Portfolios in the Brazilian Equity Market
by: Alexandre Rubesam, et al.
Published: (2013-03-01) -
Bayesian Inference for the Global Minimum Variance Portfolio
by: Asif, Muneeb
Published: (2018) -
Where Does Minimum Error Entropy Outperform Minimum Mean Square Error? A New and Closer Look
by: Ahmad Reza Heravi, et al.
Published: (2018-01-01) -
Portfolios Dominating Indices: Optimization with Second-Order Stochastic Dominance Constraints vs. Minimum and Mean Variance Portfolios
by: Neslihan Fidan Keçeci, et al.
Published: (2016-10-01)