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Optimal Portfolio Selection With Value At Risk Criterion In Selected Tehran Stock Exchange Companies (Pso And Mpso Approaches)

Author

Listed:
  • Hamidreza FAALJOU

    (Assistant Professor of Economics, Urmia University)

  • Kiumars SHAHBAZI

    (Associate Professor of Economics, Urmia University)

  • Ebrahim NASIRIAN

    (Ph.D. of Economics, Urmia University, Corresponding Author)

Abstract

The optimal portfolio selection problem has always been the most important issue in the modern economy. In this Study, It has been shown that how an investment with n risky share can achieve the certain profits with less risk that spread between stocks. Such a portfolio, it is called an efficient portfolio and it is necessary to find solving the optimization problem. Hence, the Improved Particle Swarm Optimization algorithm is used. The value of Portfolio and its risk are applied as the parameters in optimizing aim and criterion value exposed to contingent risk. Three intended applications have been indicated to the portfolio. In the next stage ,to evaluate and validate the method and to estimate the value of the portfolio in the next days and hold the series of the stock prices ,within a specified period, to predict the price and The Autoregressive method algorithms is used for modeling of the time-series. Practical result achieved for solving the portfolio optimization problem in Tehran Stock Exchange for the next day, by choosing the basket which includes 20 companies among the 30 most active industry indicates the performance and high capability of the algorithms and used in solving constrained optimization and appropriate weighted portfolios.

Suggested Citation

  • Hamidreza FAALJOU & Kiumars SHAHBAZI & Ebrahim NASIRIAN, 2019. "Optimal Portfolio Selection With Value At Risk Criterion In Selected Tehran Stock Exchange Companies (Pso And Mpso Approaches)," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(1), pages 45-54, June.
    • Handle: RePEc:hrs:journl:v:xi:y:2019:i:1:p:45-54
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    More about this item

    Keywords

    Portfolio Selection; Conditional Value at Risk; Particle Swarm Optimization algorithm; Price and Return Forecasting;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

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