IMI-BAS BAS
 

BulDML at Institute of Mathematics and Informatics >
ITHEA >
International Journal ITK >
2008 >
Volume 2 Number 3 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/174

Title: Optimization of the Investment Portfolio in the Conditions of Uncertainty
Authors: Zaychenko, Yurii
Esfandiyarfard, Maliheh
Keywords: Markovitz theory
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Portfolio analysis exists, perhaps, as long, as people think about acceptance of rational decisions connected with use of the limited resources. However the occurrence moment of portfolio analysis can be dated precisely enough is having connected it with a publication of pioneer work of Harry Markovittz (Markovitz H. Portfolio Selection) in 1952. The model offered in this work, simple enough in essence, has allowed catching the basic features of the financial market, from the point of view of the investor, and has supplied the last with the tool for development of rational investment decisions. The central problem in Markovitz theory is the portfolio choice that is a set of operations. Thus in estimation, both separate operations and their portfolios two major factors are considered: profitableness and risk of operations and their portfolios. The risk thus receives a quantitative estimation. The account of mutual correlation dependences between profitablenesses of operations appears the essential moment in the theory. This account allows making effective diversification of portfolio, leading to essential decrease in risk of a portfolio in comparison with risk of the operations included in it. At last, the quantitative characteristic of the basic investment characteristics allows defining and solving a problem of a choice of an optimum portfolio in the form of a problem of quadratic optimization.
URI: http://hdl.handle.net/10525/174
ISSN: 1313-048X
Appears in Collections:Volume 2 Number 3

Files in This Item:

File Description SizeFormat
ijitk02-3-p04.pdf208.45 kBAdobe PDFView/Open

 




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0!   Creative Commons License