Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10323001 | Expert Systems with Applications | 2011 | 5 Pages |
Abstract
In problem of portfolio selection, financial Decision Makers (DMs) explain objectives and investment purposes in the frame of multi-objective mathematic problems which are more consistent with decision making realities. At present, various methods have introduced to optimize such problems. One of the optimization methods is the Compromise Programming (CP) method. Considering increasing importance of investment in financial portfolios, we propose a new method, called Nadir Compromising Programming (NCP) by expanding a CP-based method for optimization of multi-objective problems. In order to illustrate NCP performance and operational capability, we implement a case study by selecting a portfolio with 35 stock indices of Iran stock market. Results of comparing the CP method and proposed method under the same conditions indicate that NCP method results are more consistent with DM purposes.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Maghsoud Amiri, Mostafa Ekhtiari, Mehdi Yazdani,