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Minimization of Portfolio Risk using Three Different Methods (A Comparative Study)

by Hegazy Zaher, Nisren Hassanen Mohamed
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 113 - Number 7
Year of Publication: 2015
Authors: Hegazy Zaher, Nisren Hassanen Mohamed
10.5120/19837-1691

Hegazy Zaher, Nisren Hassanen Mohamed . Minimization of Portfolio Risk using Three Different Methods (A Comparative Study). International Journal of Computer Applications. 113, 7 ( March 2015), 13-17. DOI=10.5120/19837-1691

@article{ 10.5120/19837-1691,
author = { Hegazy Zaher, Nisren Hassanen Mohamed },
title = { Minimization of Portfolio Risk using Three Different Methods (A Comparative Study) },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 113 },
number = { 7 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume113/number7/19837-1691/ },
doi = { 10.5120/19837-1691 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:50:19.259972+05:30
%A Hegazy Zaher
%A Nisren Hassanen Mohamed
%T Minimization of Portfolio Risk using Three Different Methods (A Comparative Study)
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 7
%P 13-17
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Portfolio risk plays an important role in stock market decisions. This paper considers an alternative idea which is to compute the risk assuming fixed return. Three different methods used to study this problem. The given study suggests expressing the general index of a given stock market in terms of other countries stock markets. A comparison between the three proposed methods is conducted using three different measures of error (the Mean-Variance (MV), Mean-Absolute Deviation (MAD), Conditional Value-at-Risk (CVaR)). The obtained results show that there are significant differences between the used methods. It is recommended using the simplest one.

References
  1. Lam, W. H. , Jaaman, S. H. , and Isa, Z. 2010. An empirical comparison of different risk measures in portfolio optimization.
  2. Markowitz, H. , "Portfolio Selection," Journal of Finance, Vol. 7, No. 1, March 1952, pp. 77-91.
  3. Markowitz, H. 1959. Portfolio Selection: Efficient Diversification of Investments, , John Wiley & Sons, Inc.
  4. Konno, H. , and H, Yamazaki. 1991. Mean absolute deviation portfolio optimization model and its applications to Tokyo Stock Market, Management Science, vol. 37,No. 5, may 1991, pp. 519-531.
  5. Yixuan Liu , Zhongfeng Qin, 2012. Mean Semi-absolute Deviation Model for Uncertain Portfolio Optimization Problem.
  6. Cai, X. , K. Teo, X. Yang, and X. Zhou. 2000. Portfolio optimization under a minimax rule, Management Science, vol. 46, pp. 957-972.
  7. Feinstein, C. D. , and M. N. Thapa. 1993. A reformulation of a mean absolute deviation portfolio optimization model, Management Science, vol. 39, pp. 1552-1553.
  8. Simaan, Y. , 1997. Estimation risk in portfolio selection: the mean-variance model versus the mean absolute deviation model, Management Sciences, vol. 43, pp. 1437-1446.
  9. Hegazy, Z. , and naglaa, r. , and nisren, h. 2014. Optimizing Local Portfolio Return Under Risk in Terms of International Stock Markets Indices.
  10. abhijit, r. ,and prof. Dr. Andras, p. 2012. markowitz's portfolio selection model and related Problems.
  11. Irina, B. , and Mikhail, K. 2009. Portfolio optimization problems: a survey.
  12. Simon, B. 1999. Financial modeling, The MIT press, Cambridge, Massachusetts, London, England.
  13. Simon, B. 2006. Principles of Finance with excel, oxford university press.
  14. Wei-Peng, C. , Huimin, C. , Keng-Yu Ho, T. 2010. Portfolio optimization models and mean-variance spanning tests.
  15. Rockafellar, R. T. and S. Uryasev, "Optimization of Conditional Value-at-Risk," Journal of Risk, Vol. 2, No. 3, Spring 2000, pp. 21-41.
  16. Rockafellar, R. T. and S. Uryasev, "Conditional Value-at-Risk for General Loss Distributions," Journal of Banking and Finance, Vol. 26, 2002, pp. 1443-1471.
  17. James, X. , Xiong, T. I. 2010. Mean-Variance Versus Mean-Conditional Value-at Risk Optimization: The Impact of Incorporating Fat Tails and Skewness into the Asset Allocation Decision.
  18. Jonas, P. , Stanislav, U. , and Pavlo, K. 1999. Portfolio Optimization with Conditional Value-At-Risk Objective and Constraints.
  19. Hischberg's, M. , Y. Qi, and R. E. Steuer. 2007. Randomly generating portfolio selection covariance matrices with specified distributional characteristics, European Journal of Operational Research, vol. 177, pp. 1610-1625.
  20. Corazza, M. , D. Favaretto. 2007. On the existence of solutions to the quadratic mixed-integer mean variance portfolio selection problem, European Journal of Operational Research, vol. 176, pp. 1947-1960.
  21. Sergey, S. , Gaia, S. and Stan, U. 2008. Value-at-Risk vs. Conditional Value-at-Risk in Risk Management and Optimization.
Index Terms

Computer Science
Information Sciences

Keywords

Portfolio Risk Risk Minimization Stock Market Indicators Mean-Absolute Deviation Conditional Value-At-Risk Mean-Variance Return Maximization

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