Repository logo
  • Collections
  • Browse
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. ICI
  3. Publications
  4. Single period portfolio selection models with transaction costs and initial holdings
 
  • Details

Single period portfolio selection models with transaction costs and initial holdings

Date Issued
2020
Author(s)
Rădulescu, Marius
Rădulescu, Constanţa Zoie
Abstract
The classical mean-variance model in the portfolio theory does not include transaction costs and initial holdings. In this paper we extend Markowitz’s portfolio selection model to include transaction costs in the presence of initial holdings for the investor. Our approach is new. Our aim is to obtain an optimal portfolio which has a minimum risk or a maximum return. The optimal solution may require both buying and selling a particular asset, which is clearly not an advisable practical strategy. In order to have a good strategy it is necessary to include in the portfolio selection models complementarity constraints. These constraints do not allow that the same asset be bought and sold at the same time. That is why our portfolio selection models include complementarity constraints. This type of constraints increases the difficulty of the problems, which now enter in the category of combinatorial 0ptimization problems. The set of feasible solutions for the problems from the above mentioned class is the union of a set of convex sets but it is no longer convex. We study several approaches for finding solutions of portfolio selection models with complementarity constraints. Several numerical results are discussed.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Privacy policy
  • End User Agreement
  • Send Feedback