Testing portfolio strategies based on fundamental, technical and heuristically with behavioral objects and characteristics of Tehran stoke market investors

Document Type : Original Article


Ph.D. Candidate, Department of financial management ,Science and research Branch, Islamic Azad University, Tehran, Iran


Objectives and strategies have a significant relation with investors’ performance. In this research, we study and classified strategies and objects of individual investors in Tehran stock exchange. First investor’s objectives divided to 5 groups like financial capital growth, Building financial buffer, saving for retirement, hobby and speculation. Then their strategies classified in 3 conventional strategies: fundamental, technical and heuristically. Finally according to behavioral characteristics like risk taking, aspiration levels and over confidence we tested relation among these objectives and strategies with their investors’ performance.
Testing behavioral portfolio based on investment objectives and investing strategies for simulation of 120 strategies during 1393-1389 shows that fundamental, technical and heuristically strategies with high risk portfolios have made higher return toward average Stock index. Results show that behavioral characteristic of investor’s has a significant effect on objectives and investing strategies and their performance. There is a relation between aspiration level and risk taking with investor’s objectives, especially there is a strong significant relationship for investors whose object is makes capital grow.
Tests show that investors with technical strategy, has higher aspiration and risk taking level but the average yield of this approach is lower than average yield of fundamental strategy. These results are opposite of Shefrin and Hafman(2011) results. Investors, who use fundamental strategy in financial market of Iran, pursued Building financial buffer and capital growth.  


*       Altman E.I.; Corporate financial distress: A complete guide to predicting, avoiding and dealing with bankruptcy; New York: John Wiley and Sons, Inc, 1983.
*       Barber, B. M., & Odean, T. (2001). Boys will be boys: Gender, overconfidence, and common stock investment. Quarterly journal of Economics, 261-292.
*       Browning, M. and T. F. Crossley (2001). The Life-Cycle Model of Consumption and Saving. Journal of Economic Perspectives, 15(3), 3-22.
*       Camille, and Eléonore Salberg. Différences culturelles dans l'interaction entre physiothérapeutes et patients migrants en milieu hospitalier. Diss. Haute Ecole de Santé Vaud, 2015.
*       Diecidue Enrico , van de Ven Jeroen, Weitzel Utz (2008), Shareholders’ expectations, aspiration levels, and mergers, McCarthy, K.J., Dolfsma, W. (eds.) "Understanding Mergers and Acquisitions in the 21st Century", Palgrave Macmillan, pp.148-164.
*       Graham, J. R., C. R. Harvey, and H. Huang (2009). Investor Competence, Trading Frequency, and Home Bias. Management Science, 55(7), 1094-106.
*       Ghalibafasl H, Kordi M, Azhdari  F. Overconfidence of Investment Managers and the Performance Assessment Indexes of Mutual Funds. Journal of Financial Management Strategy . 2013; 1 (1):17-34
*       Heybati F, Rahnama R F, Salmani S. Relationship Between Two Stocks Pricing Approaches In Tehran Stock Exchange. Financial Knowledge of Securities Analysis . 2010; 3 (5). 115-136
*       Heckman, J. J. (2001). Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture. Journal of Political Economy, 109(4), 673-748.
*       Hoffmann, A. O., & Shefrin, H. (2011). Online Investors: What They Want, What They Do, And How Their Portfolios Perform. What They Do, and How Their Portfolios Perform (September 20, 2011).
*       Hoffmann Arvid O. I.,Shefrin Hersh (2014), Technical Analysis and Individual Investors, Journal of Economic Behavior and Organization, 107 (November), pp. 487-511.
*       Jain, R., Jain, P., & Jain, C. (2015). Behavioral Biases in the Decision Making of Individual Investors. IUP Journal of Management Research, 14(3), 7.
*       Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1991). Anomalies: The endowment effect, loss aversion, and status quo bias. The journal of economic perspectives, 193-206.
*       Lee, H.-J., J. Park, J.-Y. Lee, and R. S. Wyer (2008). Disposition Effects and Underlying Mechanisms in E-Trading of Stocks. Journal of Marketing Research, 45(3), 362-78.
*       Lewellen, W. G., R. C. Lease, and G. G. Schlarbaum (1980), "Portfolio Design and Portfolio Performance: The Individual Investor," Journal of Economics and Business, 32(3), 185-97.
*       Lopes, L. (1987). Between Hope and Fear: The Psychology of Risk. Advances in Experimental Social Psychology, 20 255-95.
*       Muralidhar, A. (2016). Goals based investing, the KISS Principle, and the Case for New Financial Instruments. Available at SSRN 2715053.
*       Murphy, J. J. (1999). Technical analysis of the financial markets: A comprehensive guide to trading methods and applications. Penguin.
*       Pennings, J. M. E. and P. Garcia (2009). Risk & Hedging Behavior: The Role and Determinants of Latent Heterogeneity. The Journal of Financial Research, Forthcoming.
*       Statman, M. (2002). Lottery Players / Stock Traders. Financial Analysts Journal, 58(1), 14-21.
*       Shefrin, H., & Statman, M. (2000). Behavioral portfolio theory. Journal of financial and quantitative analysis, 35(02), 127-151.
*       vakilifard H, foroughnejad H, Khoshnood M. Evaluation Investor's  Behavior in Tehran Stock Exchange with Analytic Network process (ANP). amf. 2013; 1 (2) :19-34