A Closer Look at the Minimum-Variance Portfolio Optimization Model
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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 relation between the weight norm-constrained method and the objective function regularization method in minimum-variance problems by analyzing the Karush–Kuhn–Tucker conditions of their Lagrangian functions.
We give the range of parameters for the two models and the corresponding relationship of parameters.
Given the range and manner of parameter selection, it will help researchers and practitioners better understand and apply the relevant portfolio models.
We apply these models to construct optimal portfolios and test the proposed propositions by employing real market data.
American Psychological Association (APA)
Dai, Zhifeng. 2019. A Closer Look at the Minimum-Variance Portfolio Optimization Model. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1194346
Modern Language Association (MLA)
Dai, Zhifeng. A Closer Look at the Minimum-Variance Portfolio Optimization Model. Mathematical Problems in Engineering No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1194346
American Medical Association (AMA)
Dai, Zhifeng. A Closer Look at the Minimum-Variance Portfolio Optimization Model. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1194346
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194346