Volume 4, Issue 3 (7-2022)                   sjamao 2022, 4(3): 1-7 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Moayedfard A, Enayatollahi S, Eisavi M, Ghorbani S. Risk, Return, and Portfolio of Selective Industries in Tehran Stock Exchange. sjamao 2022; 4 (3) :1-7
URL: http://sjamao.srpub.org/article-7-155-en.html
Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran
Abstract:   (347 Views)
Portfolio selection and choosing the proper risk measure is one of the pivotal argument in finance literature and working in the empirical environment. This paper aims to evaluate a portfolio selection with two methods including mean-variance and mean-CVaR to find proper risk measure in Tehran Stock Exchange. So that, nine sectors consisted of the construction, telecom, oil, banking, insurance, leasing, transportation, investment companies, and metal were investigated by using daily data from 2013 to 2018. The results showed that the share of each sector was different in the portfolio by two methods. The mean-CVaR method proposed construction sector in the first rank and mean-variance method ranked telecom sector at the first. Also, the correlation between the two risk measures and returns indicated that CVaR had a high correlation with returns about 0.93 and the correlation between returns and variance was 0.23. So, CVaR was a better than variance as a risk measure from the standpoint of correlation in Tehran stock exchange.

 
Full-Text [PDF 686 kb]   (119 Downloads)    
Type of Study: Research | Subject: Accounting
Received: 2022/03/15 | Revised: 2022/06/16 | Accepted: 2022/06/25 | Published: 2022/07/30

References
1. Markowitz H. Portfolio selection. J Finance, 1952; 7(1); 77-91. [DOI:10.1111/j.1540-6261.1952.tb01525.x]
2. Konno H, Yamazaki H. Mean-absolute deviation portfolio optimization model and its applications to Tokyo stock market. Manag Sci. 1991; 37(5): 519-531. [DOI:10.1287/mnsc.37.5.519]
3. Linsmeier TJ, Pearson ND. Risk measurement: An introduction to value at risk. 1996.
4. Rockafellar RT, Uryasev S. Optimization of conditional value-at-risk. J Risk, 2000; 2: 21-42. [DOI:10.21314/JOR.2000.038]
5. Najafi AA, Mushakhian S. Multi-stage stochastic mean-semivariance-CVaR portfolio optimization under transaction costs. Appl Math Comput. 2015; 256: 445-458. [DOI:10.1016/j.amc.2015.01.050]
6. Markowitz H. Portfolio selection: Efficient diversification of investments, 2nd ed., Cambridge, MA, Basil Blackwell. 1991.
7. Mansini R, Ogryczak W, Speranza MG. Conditional value at risk and related linear programming models for portfolio optimization. Ann Operat Res. 2007; 152(1): 227-256. [DOI:10.1007/s10479-006-0142-4]
8. Acerbi C, Tasche D. Expected shortfall: a natural coherent alternative to value at risk. Econ Notes, 2002; 31(2): 379-388. [DOI:10.1111/1468-0300.00091]
9. Grubel HG. Internationally Diversified Portfolios: Welfare Gains and Capital Flows. Am Econ Rev. 1968; 58(5): 1299-1314.
10. Levy H, Sarnat M. International diversification of investment portfolios. Am Econ Rev. 1970; 60(4): 668-675.
11. Merton RC. An intertemporal capital asset pricing model. Econometrica, 1973; 41(5): 867-887. [DOI:10.2307/1913811]
12. Mayers D, Rice EM. Measuring portfolio performance and the empirical content of asset pricing models. J Financ Econ. 1979; 7(1): 3-28. [DOI:10.1016/0304-405X(79)90020-5]
13. Pástor Ľ, Stambaugh RF. Comparing asset pricing models: an investment perspective. J Financ Econ. 2000; 56(3): 335-381. [DOI:10.1016/S0304-405X(00)00044-1]
14. Driessen J, Laeven L. International portfolio diversification benefits: Cross-country evidence from a local perspective. J Bank Finance, 2007; 31(6): 1693-1712. [DOI:10.1016/j.jbankfin.2006.11.006]
15. Barberis N. Investing for the long run when returns are predictable. J Finance, 2000; 55(1): 225-264. [DOI:10.1111/0022-1082.00205]
16. Ahn D-H, Boudoukh J, Richardson M, Whitelaw RF. Optimal risk management using options. J Finance, 1999; 54(1): 359-375. [DOI:10.1111/0022-1082.00108]
17. Basak S, Shapiro A. Value-at-risk-based risk management: optimal policies and asset prices. Rev Financ Stud. 2001; 14(2): 371-405. [DOI:10.1093/rfs/14.2.371]
18. Campbell R, Huisman R, Koedijk, K. Optimal portfolio selection in a Value-at-Risk framework. J Bank Finance, 2001; 25(9): 1789-1804. [DOI:10.1016/S0378-4266(00)00160-6]
19. Alexander GJ, Baptista AM. Economic implications of using a mean-VaR model for portfolio selection: A comparison with mean-variance analysis. J Econ Dynam Contr. 2002; 26(7): 1159-1193. [DOI:10.1016/S0165-1889(01)00041-0]
20. Chen R, Yu L. A novel nonlinear value-at-risk method for modeling risk of option portfolio with multivariate mixture of normal distributions. Econ Model. 2013; 35(September): 796-804. [DOI:10.1016/j.econmod.2013.09.003]
21. Al Janabi MAM. Optimal and investable portfolios: An empirical analysis with scenario optimization algorithms under crisis market prospects. Econ Model. 2014; 40(June): 369-381. [DOI:10.1016/j.econmod.2013.11.021]
22. Mulvey JM, Erkan HG. Applying CVaR for decentralized risk management of financial companies. J Bank Finance, 2006; 30(2): 627-644. [DOI:10.1016/j.jbankfin.2005.04.010]
23. Allen D, Powell R. Measuring and optimising extreme sectoral risk in Australia. Asia Pac J Econ Bus. 2011; 15(1): 1-14.
24. Wang Ching-Ping, Huang Hung-Hsi. Optimal insurance contract under VaR and CVaR constraints. North Am J Econ Finance, 2016; 37: 110-127. [DOI:10.1016/j.najef.2016.03.007]
25. Duc VH, Thach PN, Trung PVT, Loc TM, Thang NC. Risk, return and portfolio optimization for various industries in the ASEAN region. Borsa Istanbul Rev. 2018.

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.