Clustering Tehran StockS Exchange for Portfolio Management

Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

RDTM01_249

تاریخ نمایه سازی: 23 دی 1393

Abstract:

In this paper, data mining approaches have been presented for identifying the best clustering indicator(s) in Tehran Stock Exchange. For this purpose, seven indicators were selected atdifferent times from the Tehran Stock Exchange for April 2010 to April 201 included return, standard deviation, Beta, P/E, the number of buyers, the number of deals and the volume of transaction, and clustered by three methods (K-means, Fuzzy C-means, and Self-organizedmaps). After clustering, the stocks could be selected from these groups for building a portfolio. Portfolios optimized by Markowitz model to impose the lowest risk to investor for a certainreturn. The best portfolio was selected by Sharp Ratio. Result depicts that Fuzzy C-meansmethod with return and standard deviation present the better portfolio compared to K-means and Self-organized maps (SOM), and creates the most compact cluster compared to others

Authors

Mohammad Ali Afshar Kazemi

Associated Professor Department of Industrial Management, Tehran Central Branch, IAU, Iran

Fereydoon Rahnamay Roodposhti

Professor Department of Management and Economic, Tehran Science and Research Branch, IAU, Iran

Alireza Kheyrkhah

Corresponding Author Master degree, Business Management Tehran, Iran

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  • Bezdek J.C. (1981), Pattern Recognition with Fuzzy Objective Function Algorithms, ...
  • Dunn J.C. (1973), A Fuzzy Relative of the ISODATA Process ...
  • Gholizadeh M.H. and Gh. Vahidpour (2011), Stock Price Prediction with ...
  • Khashei M., S. Hejazi and M. Bijari (2007), A New ...
  • Kohonen T. (1995), S elf-Organizing Maps, Springer, Berlin, Heidelberg. ...
  • Lampinen J. and O. Taipale (1994), Optimization and simulation of ...
  • MacQueen J.B. (1967), Some Methods for classification and Analysis of ...
  • Markowitz Harry (1958), Portfolio Selection, John Wiley & Sons. ...
  • Markowitz H (1952), Portfolio selection, Journal of Finance, 7, 77-91. ...
  • Nanda S.R., B. Mahanty and M.K. Tiwari (2010), Clustering Indian ...
  • Nikoomaram H. and H. Hemmati (2012), Network Model based on ...
  • Oh K.J., T.Y. Kim and S. Min (2005), Using genetic ...
  • Ostermark R (1996), A fuzzy control model (FCM) for dynamic ...
  • Talebnia G. and M. Fathi (2010), Comparative Evauluation Optimal Stock ...
  • Topaloglou N., H. Vladimirou and S.A. Zenios (2008), A dynamic ...
  • نمایش کامل مراجع