میرلوحی, سید مجتبی, محمدی تودشکی, نیما. (1399). تشکیل سبد سرمایه گذاری بهینه در بورس اوراق بهادار تهران با استفاده از روش‌های خوشه‌بندی سلسله مراتبی و تفکیکی. , 9(34), 333-354.
سید مجتبی میرلوحی; نیما محمدی تودشکی. "تشکیل سبد سرمایه گذاری بهینه در بورس اوراق بهادار تهران با استفاده از روش‌های خوشه‌بندی سلسله مراتبی و تفکیکی". , 9, 34, 1399, 333-354.
میرلوحی, سید مجتبی, محمدی تودشکی, نیما. (1399). 'تشکیل سبد سرمایه گذاری بهینه در بورس اوراق بهادار تهران با استفاده از روش‌های خوشه‌بندی سلسله مراتبی و تفکیکی', , 9(34), pp. 333-354.
میرلوحی, سید مجتبی, محمدی تودشکی, نیما. تشکیل سبد سرمایه گذاری بهینه در بورس اوراق بهادار تهران با استفاده از روش‌های خوشه‌بندی سلسله مراتبی و تفکیکی. , 1399; 9(34): 333-354.
 

 

 

 

 

 

 

 

  • منابع خارجی
-          Alexander S, Coleman T F, Li Y. 2006. Minimizing cvar and var for portfolio of derivatives. Journal of Banking and Finance, 30(2):pp.538-605.

-          A. R. Webb, Statistical Pattern Recognition, John Wiley & Sons,2003

-          Basalto, N., Bellotti, R., De Carlo, F., Facchi, P., & Pascazio, S. (2005). Clustering stock market companies via chaotic map synchronization, Physica A, 345 (1-2), 196–206.

-          Beckwith, j., Stock Selection in Six Major Non –U.S. Markets. Journal of Investing. 7 (8), 29-44, 8001

-          Bertsimas Dimitris, Christopher Darnell and Robert Soucy, (1999) “Portfolio construction Through Mixed-Integer Programming at Grantham, Mayo, Van,Otterloo and Company”, ProQuest Science Journals, Interfaces 29 , pp

-          Chen Y, Mabu SH, HirasawaK. 2011. Genetic relation algorithm whit guided mution for the large – scale portfolio optimization” Expert System Whit Applications ,An International journal , pp.3353-3363.

-          Chi, Z., Yan, H., & Pham, T. (1996). Fuzzy algorithms: with applications to image processing and pattern recognition. Singapore: World Scientific Publishing Co. Pte. Ltd.

-          D’Ursoa, P., & Giordani, P. (2006). A weighted fuzzy c-means clustering model for fuzzy data. Computational Statistics & Data Analysis, 50 (6), 1496 – 1523.

-          Dobbins, Richard.; Witt. Stephen, F. & Fielding, John. (1994). Portfolio Theory and Investment Management. (2 nd ed). Massachusetts: Blackwell Publishers.

-          Doherty, K. A. J., Adams, R. G., Davey, N., & Pensuwon, W. (2005). Hierarchical Topological Clustering Learns Stock Market Sectors, ICSC Congress on Computational Intelligence Methods and Applications (pp. 1-6), Istanbul.

-          Edirisinghe, NCP & X Zhang, Portfolio selection under DEA-based relative financial strength indicators: case of US industries, Journal of the Operational Research Society, 57, 8002.

-          Elton, J.; Edwin & Grubr, J.; Martin. (1995). Simple Criteria for Optimal Portfolio Selection, Journal of Finance, 31 (5). 1341-1357.

-          Fan Cai, Nhien-An Le-Khac, M-Tahar K e chadi ,(2016). Clustering Approaches for Financial Data Analysis: a Survey,School of Computer Science & Informatics, University College Dublin, Ireland

-          Faugère, C., Shawky, H. A., & Smith, D. M. (2005). Characterizing value and growth investing in institutional portfolios. Retrieved from University at Albany : http://www.albany.edu/~faugere/

-          Grupe, F.H. & Jooste, S. (2004) Genetic Algorithms: A Business Perspective; Information Management & Computer Security, Vol. 12,o. 3, 289-298

-          Guneri A.F. et al, A fuzzy approach to shipyard location selection, Expert Systems and Applications, 26, 9778-9777, 8007.

-          J. Valente de Oliveira, J., & Pedrycz, W. (2007). Advances in fuzzy clustering and its applications. Chichester: John Wiley & Sons Ltd.

-          Janani and et al., Selection of Portfolio by using Multi Attributed Decision Making (Tehran Stock Exchange), American Journal of Scientific Research, Issue 44, pp. 15-87, 8018

-          Jose Figueira, Salvatore Greco and Matthias Ehrgott, MULTIPLE CRITERIA DECISION ANALYSIS: STATE OF THE ART SURVEYS, Springer, 8005

-          Kalyani, S., & Swarup, K. S. (2010). Supervised fuzzy c-means clustering technique for security assessment and classification in power systems. International Journal of Engineering, Science and Technology , 2 (3), 175-185

-          Konno H,Y amazaki H. 1991. Mean-absolute deviation portfolio optimization model and its applications to tokyo stock market. Management Science, 37(5):pp.519-531.

-          Levy H, Sarnat M. 1984. Portfolio and investment Selection, Prentice Hall.

-          Lhabitant, F. S. (2003). Evaluating hedge fund investments: the role of pure style indices. Retrieved from EDHEC-Risk Institute: http://www.edhec-risk.com/edhec_publications/RISKReview1083060929573713739/attachments/Barry%20HF%20VaR1%2009.02.04.pdf

-          Li, Jun, Jiuping Xu (2009) “A novel portfolio selection model in a hybrid uncertain environment”,omega the International Journal of Management Science,

-          Linsmeier T J, Pearson N D. 2000. Value at risk, Financial Analysts Journal,56(2):pp47-67.

-          LN,L,Cao,L And Zhang,c,(2007),Genetec A lgorithm for Optimization in Financial Applications,University Of Sydney ,Australia.

-          Markowitz H, 1952. Portfolio selection. Journal of Finance. 7: 77-91.

-          Markowitz H. 1991. Foundations of portfolio theory. Journal of Finance, 46(2):pp.469-477

-          Mitchel, M. (1999) An Introduction to Genetic Algorithms. Pacheco ,M,Vell asco,M, and lopez,c,(2006)cash flow planning AnD Optimization Through Genetic Algorithm Pontificia university,Brazill

-          Morris, V. B., & Morris, K. M. (2007). Standard & Poor's dictionary of financial terms. New York: Lightbulb Press.

-          Nanda, S.R., Mahanty, B., Tiwari, M.K. (2010). Clustering Indian stock market data for portfolio management. Expert Systems with Applications, 37 (12), 8793–8798.

-          Nikoomaram H, Hemmati H, 2012. Network Model based on Sharp and Trainer Ratio Analytical Power Evaluation to Benchmark the performance of Selected Portfolio. Investment Knowledge Research and Science Quarterly. 1: 125-146.

-          Ostermark R, 1996. A fuzzy control model (FCM) for dynamic portfolio management. Fuzzy Sets and Systems. 78: 243-254.

-          Rashidi, P., Analoui, M. (2007). Modified k-means algorithm for clustering stock market companies. 1st Iran Data Mining Conference (pp. 201-21), Tehran: Amir Kabir University.

-          Reilly F. et al. Investment Analysis and Portfolio Selection, 6d, ed., 8002.

-          ROBERT JOHNSON, LUC SOENEN, Indicators of Successful Companies, European Management Journal Vol. 81, No. 2, pp. 264–267, 8002.

-          Shin, H. W., Sohn, S. Y. (2004). Segmentation of stock trading customers according to potential value. Expert Systems with Applications, 27 (1), 27–33.

-          S quyres .J.G. A Quick Peek According to Graham and Dodd, Journal of Financial Statement Analysis, 92-72, fall, 1772.

-          Standard & Poor’s (S&P) Shariah style indices: index methodology. (2009). Retrieved from Standard & Poor's Financial Services LLC: www.styleindices.standardandpoors.com

-          Standard & Poor’s (S&P) U.S. style indices: index methodology. (2009). Retrieved from Standard & Poor's Financial Services LLC: www.styleindices.standardandpoors.com

-          Szilágyi, L., Szilágyi, S. M., & Benyó, Z. (2010). Analytical and numerical evaluation of the suppressed fuzzy c-means algorithm: a study on the competition in c-means clustering models. Soft Computing , 14 (5), 495–505.

-          Talebnia Gh, Fathi M, 2010. Comparative Evaluation Optimal Stock Portfolio Selection in Tehran Stock Exchange by Markowitz and Value-at-Risk Models. Financial Study Magazine. 6: 71-94.

-          Topaloglou N, Vladimirou H, Zenios SA, 2008. A dynamic stochastic programming model for international portfolio management. European Journal of Operational Research. 185: 1501-1524.

-          Valente de Oliveira, J., & Pedrycz, W. (2007). Advances in fuzzy clustering and its applications. Chichester: John Wiley & Sons Ltd.

-          Veerabathiran R., et al, Application of the Extent Analysis Method on fuzzy AHP, International Journal of Engineering Science and technology, Vol. 4, No. 09, July 8018.

-          Wang, X., Wang, Y., & Wang, L. (2004). Improving fuzzy c-means clustering based on feature-weight learning. Pattern Recognition Letters, 25 (2), 1123–1132.

-          Wen-Shiung Lee, Combined MCDM techniques for exploring stock selection based on Gordon model, Expert Systems with Applications, 8002.

-          Xia, Yusen.; Liu, Baoding., Wang, Shouyang. & Lai, K.K. (1999). A Model for Portfolio Selection with Order of Expected Returns, Computers & OperationsResearch, www.armaninvestment.com

-          Young, M.R. (1998). A Minimax – Portfolio Selection Rule with Linear Programming Soulotion, Management Science, 44. 673-683.

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