.Modeling the selection of the optimal stock portfolio based on the combined approach of clustered value at risk and Mental Accounting

Document Type : Original Article

Authors

1 Department Of Financial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran.

2 Department of Financial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran.

3 Prof., Department of Finance, Faculty of Management, University of Tehran, Tehran, Iran.

4 Prof., Department of Financial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran.

Abstract

This paper concentrates on the modelling of optimal stock portfolio selection based on Risk Assessment and Behavioral Financial Approach Mental Accounting and 28 expert’s opinion. In this approach developing the model approved by the opinion of academic and practical experts using quantitative and qualitative methods.  Using quarterly return data of industrial indices for ten years in form of eight training and two test years indicates that the performance of DMSS and MVO based portfolios is equal however by regarding the value at risk and liquidity constraints in modeling, DMSS based portfolios perform higher than MVO portfolios.

Keywords


Baptista, A. M. (2012). Portfolio selection with mental accounts and background risk. Journal of Banking & Finance, 36(4), 968-980.
Chandra, A. (2008). Decision-Making in the Stock Market: Incorporating Psychology with Finance. National Conference on forecasting Financial Markets of India, Available at SSRN: http://ssrn.com/abstract=1501721.
Chen, Yu & Wang, Zhicheng& Zhang, Zhengjun, 2019. "Mark to market value at risk," Journal of Econometrics, Elsevier, vol. 208(1), 299-321.
Das, S., Markowitz, H., Scheid, J., &Statman, M. (2010). Portfolio optimization with mental accounts. Journal of Financial and Quantitative Analysis, 45(2), 311-334.
Gordon, j. Alexander, Alexandre M. Baptista, Shu Yan.2016. Portfolio Selection with Mental Accounts & Estimation Risk.
Hoffmann, A. O. I., & Post, T. (2013). What Makes Investors Optimistic, What Makes Them Afraid? Journal of Economic Literature.
Islam, S. (2012). Behavioral finance of an inefficient market. Global Journal of Management and Business Research, 12(14).
Jamshidi, N., &Ghalibaf ASL, H. (2019). Dynamics of the Behavior of Individual Investors in Tehran Stock Exchange. Journal of Financial Management Perspective, (25), 101-120. (In Persian)
Jiang, C., Ma, Y., & Ann, Y. (2013). International portfolio selection with exchange rate risk: A behavioural portfolio theory perspective. Journal of Banking & Finance, 37(2), 648-659.
K.-H.Chang., M .N. Young. (2018). Portfolio Optimization Utilizing the Framework of Behavioral Portfolio Theory. International Journal of Operations Research Vol. 15, No. 1, 1−13
KhaliliAraghi, M., &Yekkezare, A. (2010). Estimating of Market Risk of Industries of Tehran Stock Exchange based on VaR. Journal of Financial Review, (7), 47-72. (In Persian)
Naderi, E., &SeifNaraghi, M. (2011). Research Methods and Its Evaluation in Human science. BadrPublishing. 20 Edition. (In Persian).
Piri, F. & Salahi, M. &Mehrdoust, F. (2014), Robust Mean- Conditional Value at Risk Portfolio Optimization, International Journal of Economic Sciences, Vol.III, No.1, 2-11
Sanjiv Das, Harry Markowitz, Jonathan Scheid, Meir Statman.2010. Portfolio Optimization with Mental Accounts. Journal of Financial & Quantitative Analysis.
Sina, A., &Fallah, M. (2020). Comparison of Value Risk Models and CoppolaCVaR in Portfolio Optimization in Tehran Stock Exchange.
Journal of Financial Management Perspective, (29), 125-146. (In Persian)
Shefrin, H. and M. Statman, (2000), "Behavioral Portfolio Theory", Journal of Financial and Quantitative Analysis, Vol. 35, Pp: 127–151
Zare, M.H., &Nilchi, M., & Fareed, D. (2020). Comparative Evaluation of Markowitz Approach with a New Hybrid Method to Create an Optimal Portfolio Using Deep DNN Learning Method and Gravitational Search Algorithm. Journal of Financial Management Perspective, (28), 165-188. (In Persian)