in order to use an islamic financial instrument, this paper intends to measure and evaluate negative and positive deviations from target rate of return in investment opportunity evaluation,that leads to presenting an upside potential- adjusted risk measure. this risk measure named upside potential adjusted risk measure (alpm) is generally applicable and provides assumptions of variance, downsid...

We consider the problem of constructing a portfolio of finitely many assets whose returns are described by a discrete joint distribution. We propose a new portfolio optimization model involving stochastic dominance constraints on the portfolio return. We develop optimality and duality theory for these models. We construct equivalent optimization models with utility functions. Numerical illustra...

This paper describes a portfolio optimization system by using Neuro-Fuzzy framework in order to manage stock portfolio. It is great importance to stock investors and applied researchers. The proposed portfolio optimization approach Neuro-Fuzzy System reasoning in order to make a more yields from the stock portfolio, and hence maximize return and minimize risk of a stock portfolio through divers...

This study investigates the performance of Bitcoin as a diversifier under different constraining portfolio optimization frameworks. The employs frameworks that seek to maximize risk-adjusted returns (Sharpe ratio) by optimizing allocations each asset class (asset allocation). attributes are evaluated comparing portfolios both with and without ranging from equal-weighted, risk-parity, semi-const...

The widely accepted belief that asset returns and insurance product line margins are not normally distributed has motivated the use of skewness (or higher than second order moments), in the context of optimal risk-reward portfolio allocation. Here, we propose an optimization-based methodology to substantially improve the skewness of portfolios in the mean-variance efficient frontier. Unlike oth...