investment plays a vital role on economic growth. one of the main objectives of all countries is to achieve sustainable economic growth and development. nowadays, a considerable amount of activities performed by the managers and investors in general is to make a portfolio of assets effectively meeting demand goals. in this study, mean-variance markowitz model by cardinality constraints and also...

It is well-established that equity returns are not Normally distributed, but what should the portfolio manager do about this, and is it worth the effort? It is now feasible to employ better multivariate distribution families that capture heavy tails and skewness in the data; we argue that among the best are the Student t and skewed t distributions. These can be efficiently fitted to data, and s...

It is well-established that equity returns are not Normally distributed, but what should the portfolio manager do about this, and is it worth the effort? As we describe, there are now some good choices for multivariate modeling distributions that capture heavy tails and skewness in the data; we argue that among the best are the (Student) t and skewed t distributions. These can be efficiently ca...

This paper generalizes the traditional Mean-Variance method in portfolio analysis when asset returns are assumed to be jointly stable. An-stable eecient frontier is computed and compared to the classical Gaussian one. The eecient frontier computed from this analysis model dominates the one deened in terms of the Markowitz portfolio selection model criterion. Choix optimal de portefeuille dans u...

An easy-to-use procedure is presented for improving the ε-constraint method for computing the efficient frontier of the portfolio selection problem endowed with additional cardinality and semicontinuous variable constraints. The proposedmethod provides not only a numerical plotting of the frontier but also an analytical description of it, including the explicit equations of the arcs of parabola...

Hansen and Jagannathan (HJ, 1991) provided bounds on the volatility of Stochastic Discount Factors (SDF) that proved extremely useful to diagnose and test asset pricing models. This nonparametric bound reflects a duality between the meanstandard deviation frontier for SDFs and the mean-variance frontier for portfolios of asset returns. We extend this fundamental contribution by proposing inform...

Value-at-Risk (VaR) is one of the most widely accepted risk measures in the financial and insurance industries, yet efficient optimization of VaR remains a very difficult problem. We propose a computationally tractable approximation method for minimizing the VaR of a portfolio based on robust optimization techniques. The method results in the optimization of a modified VaR measure, Asymmetry-Ro...

in this paper after a general literature review on the concept of efficient frontier (ef), an important inadequacy of the variance based models for deriving efs and the high necessity for applying another risk measure is exemplified. in this regard for this study the risk measure of lower partial moment of the first order is decided to replace variance. because of the particular shape of the pr...

in most of the multi-criteria decision making problems, it is important to have necessary information about relative importance of each criteria. in this group of problems, weights measure the relative importance of preferences of each criteria in comparison with the other decision making criteria. in this research, the nise method has been used for mapping mean-variance efficient frontier. nis...