Title: Portfolio selection using mean-risk model and mean-risk diversification model

Authors: Akhter Mohiuddin Rather

Addresses: Department of Computer and Information Sciences, University of Hyderabad, Hyderabad 500 046, Andhra Pradesh, India

Abstract: With mean-risk and mean-risk diversification models, return distributions are characterised and compared using two statistics: the expected value and the value of a risk measure. This paper uses mean-risk model and risk curve obtained from the same model for portfolio selection problem. Security returns are assumed to be normally distributed. Further, the same mean-risk model is modified by using entropy to diversify the risk; this model can be called as mean-risk diversification model. In both the models, normal distribution is used to calculate the probability of likely losses of portfolio. The idea of mean-risk model is to regard expected return of a portfolio as the investment return and risk curve thus formed as investment risk, and the idea of mean-risk diversification model is to ensure that the portfolio thus formed is well diversified. The objective is to maximise the investor's return at a preset confidence level and minimise the risk. Two numerical examples are presented for the sake of illustration.

Keywords: risk curve; confidence curve; entropy; portfolio selection; mean-risk diversification; investment risks; investment returns.

DOI: 10.1504/IJOR.2012.047093

International Journal of Operational Research, 2012 Vol.14 No.3, pp.324 - 342

Published online: 11 Jan 2015 *

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