Determination Stock Investment Strategies Of Listed Companies In Iran Using Data Mining Techniques
AbstractInvestment can be considered as a one of the fundamental pillars of national economy. The single and most important reason is to earn returns on investment. At the present time, many investors look to find a criterion for comparison stock together and selecting the best. The investors try in choosing the type of strategy, to choose strategies that maximize the earning value of the investment process. The current study aims to forecasting stock returns using data mining techniques and determinat return rate of value or growth stocks of listed companies in Tehran Stock Exchange during 2005-2010. The results indicate that the developed model has appointed the investment companies with high accuracy and portfolio value in some years and growth portfolio in some other years has a higher rate of return. It is clear that if it is used hybrid model, rates of return can be increased and the approach presented in this paper is flexible and strong.
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Bibliographic InfoArticle provided by Far East Research Centre in its journal Far East Journal of Psychology and Business.
Volume (Year): 8 No 3 Paper 2 September (2012)
Issue (Month): 2 (September)
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Web page: http://www.fareastjournals.com/journal_detail.aspx?jid=18
Investment Strategy; Decision Trees; Clustering; SVM; Discriminant Analysis.;
Find related papers by JEL classification:
- M1 - Business Administration and Business Economics; Marketing; Accounting - - Business Administration
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- Chan, Louis K C & Hamao, Yasushi & Lakonishok, Josef, 1991. " Fundamentals and Stock Returns in Japan," Journal of Finance, American Finance Association, vol. 46(5), pages 1739-64, December.
- Fama, Eugene F & French, Kenneth R, 1992. " The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-65, June.
- Doron Avramov, 2004. "Stock Return Predictability and Asset Pricing Models," Review of Financial Studies, Society for Financial Studies, vol. 17(3), pages 699-738.
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