Using Downside Risk Management Approach inDetermining Investment Strategies(An applied Study in Damascus Stock Exchange)

Authors

DOI:

https://doi.org/10.5281/zenodo.20252126

Keywords:

Downside Risk Measures, Semi-Variance, Conditional Value at Risk, Safety-First Criterion

Abstract

This study aimed to identify the different strategies that investors can follow in managing and allocating assets, in addition to using different risk measures to determine the volatility resulting from investments in stocks listed on the Damascus Stock Exchange, based on historical data represented in the series of daily closing prices of the shares of all companies listed on the Damascus Stock Exchange from 1/1/2023 to 31/7/2024. The study found that there is a difference inthe investment strategies followed in Damascus Stock Exchange in terms of the stocks that can be acquired in each of them, due to the difference in the characteristics of the stocks, and the results of applying the criteria used to determine the degree of safety of the investment strategies followed. It was found through the use of semi-variance as a measure of risk that its values are low, which means that most of the fluctuations in the stocks returns' of companies listed in Damascus Stock Exchange are inthe positive direction, and when reviewing the conditional value at risk, it was relatively low, which indicates that the expected loss values with a 5% probability are small.Therefore, the conservative strategy can be considered the best among the strategies adopted and the most suitable for application in Damascus Stock Exchange.

Downloads

Download data is not yet available.

References

[1] A. A. Jiran, “The effect of using the downside risk model on the required rate of return: A comparative applied study in the Iraq Stock Exchange,” Al-Qadisiyah Journal of Administrative and Financial Sciences, vol. 9, no. 1, 2016 (in Arabic).

[2] G. Alexander and A. M. Baptista, “Economic implications of using a mean-VaR model for portfolio selection: A comparison with mean-variance analysis,” J. Econ. Dyn. Control, vol. 26, pp. 1159–1193, 2002.

[3] E. Ballestero, “Mean-semivariance efficient frontier: A downside risk model for portfolio selection,” Appl. Math. Finance, vol. 12, no. 1, pp. 1–15, 2005.

[4] F. J. Fabozzi, P. N. Kolm, D. A. Pachamanova, and S. M. Focardi, Robust Portfolio Optimization and Management. Hoboken, NJ, USA: John Wiley & Sons, 2007.

[5] F. J. Fabozzi and H. M. Markowitz, The Theory and Practice of Investment Management. Hoboken, NJ, USA: John Wiley & Sons, 2002.

[6] J. C. Francis and D. Kim, Modern Portfolio Theory + Website: Foundations, Analysis, and New Developments, vol. 795. Hoboken, NJ, USA: John Wiley & Sons, 2013.

[7] S. Hammoudeh, P. A. Santos, and A. Al-Hassan, “Downside risk management and VaR-based optimal portfolios for precious metals, oil and stocks,” N. Am. J. Econ. Finance, vol. 25, pp. 318–334, 2013.

[8] W. W. Hogan and J. M. Warren, “Computation of the efficient boundary in the ES portfolio selection model,” J. Financial Quant. Anal., vol. 7, no. 4, pp. 1881–1896, 1972.

[9] S. Kataoka, “A stochastic programming model,” Econometrica, pp. 181–196, 1963.

[10] W. C. Kim, J. H. Kim, and F. J. Fabozzi, Robust Equity Portfolio Management + Website: Formulations, Implementations, and Properties Using MATLAB. Hoboken, NJ, USA: John Wiley & Sons, 2016.

[11] P. Krokhmal, J. Palmquist, and S. Uryasev, “Portfolio optimization with conditional value-at-risk objective and constraints,” J. Risk, vol. 4, pp. 43–86, 2002.

[12] H. M. Markowitz, Portfolio Selection: Efficient Diversification of Investments. New York, NY, USA: John Wiley & Sons, 1959.

[13] P. Penza and V. K. Bansal, Measuring Market Risk with Value at Risk, vol. 17. Hoboken, NJ, USA: John Wiley & Sons, 2001.

[14] S. T. Rachev, S. V. Stoyanov, and F. J. Fabozzi, Advanced Stochastic Models, Risk Assessment, and Portfolio Optimization. Hoboken, NJ, USA: John Wiley & Sons, 2008.

[15] A. D. Roy, “Safety first and the holding of assets,” Econometrica, pp. 431–449, 1952.

[16] R. T. Rockafellar and S. Uryasev, “Optimization of conditional value-at-risk,” J. Risk, vol. 2, pp. 21–42, 2000.

[17] L. G. Telser, “Safety first and hedging,” Rev. Econ. Stud., vol. 23, no. 1, pp. 1–16, 1955.

[18] S. Uryasev and R. T. Rockafellar, “Conditional value-at-risk: Optimization approach,” in Stochastic Optimization: Algorithms and Applications. Boston, MA, USA: Springer, 2001.

[19] I. S. Strub and E. D. Baker, “Downside risk management in emerging markets,” J. Investment Consulting, vol. 12, no. 1, 2011.

[20] D. Barro, E. Canestrelli, and G. Consigli, “Volatility versus downside risk: Performance protection in dynamic portfolio strategies,” Comput. Manag. Sci., vol. 16, pp. 433–479, 2019.

[21] Damascus Securities Exchange, “Damascus Securities Exchange (DSE) website,” [Online]. Available: http://www.dse.gov.sy/.

Downloads

Published

2024-06-17

Issue

Section

Articles - Volume 2 Number 1

Categories

How to Cite

[1]
W. . Kojak, “Using Downside Risk Management Approach inDetermining Investment Strategies(An applied Study in Damascus Stock Exchange)”, J.W.P.U, vol. 2, no. 1, pp. 67–84, Jun. 2024, doi: 10.5281/zenodo.20252126.

Similar Articles

1-10 of 18

You may also start an advanced similarity search for this article.