Title of article :
Portfolio selection using ELECTRE III: Evidence from Tehran Stock Exchange
Author/Authors :
Shabani Vezmelai، Aazam نويسنده Master of Accounting, Department of Accounting, Economic and Accounting Faculty, Central Tehran Branch, Islamic Azad University, Tehran, Iran , , Lashgari، Zahra نويسنده Assistant Professor, Department of Accounting, Economic and Accounting Faculty, Central Tehran Branch, Islamic Azad University, Tehran, Iran , , Keyghobadi، Amirreza نويسنده Department of Industrial Management, Science and Research Branch, Islamic Azad University, Tehran, Iran ,
Issue Information :
فصلنامه با شماره پیاپی 12 سال 2015
Pages :
10
From page :
227
To page :
236
Abstract :
Ranking the companies can be a useful guide for investors to select an optimum portfolio. Tehran stock exchange (TSE) uses liquidity criterion to rank the companies; however, this study shows that preferences of investors, the criteria they use to evaluate companies’ performances, and the extent to which ranking of companies based on investors’ criteria are in line with the ranking announced by the stock exchange. Since the criteria used for ranking the companies are various and often conflicting and because each multiple criteria technique has its own specific characteristics, various rankings are offered. Therefore, it is required to utilize multiple criteria decision making models to avoid confusion of investors. For this purpose, some companies were selected from 50 top companies listed in 2011 in TSE, which maintained the reliability of their ranks and finally, 20 companies were selected and were ranked based on investors’ criteria using EECTRE III Technique. The obtained ranking was then compared with the ranking offered by stock exchange. Research results indicate that ELECTRE III technique was a useful and efficient method to select a portfolio. Moreover, value-based criteria as well as accounting criteria are suitable and useful bases for investors to select a portfolio.
Journal title :
Decision Science Letters
Serial Year :
2015
Journal title :
Decision Science Letters
Record number :
1885785
Link To Document :
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