The present study is an attempt toward evaluating the performance of portfolios using mean-variance-skewness model with negative data. Mean-variance non-linear framework and mean-variance-skewness non- linear framework had been proposed based on Data Envelopment Analysis, which the variance of the assets had been used as an input to the DEA and expected return and skewness were the output. C...

One of the popular methods for optimizing combinational problems such as portfolio selection problem is swarmbased methods. In this paper, we have proposed an approach based on Quantum-Behaved Particle Swarm Optimization (QPSO) for the portfolio selection problem. The particle swarm optimization (PSO) is a well-known population-based swarm intelligence algorithm. QPSO is also proposed by combin...

The mean-variance methodology for the portfolio selection problem, originally proposed by Markowitz, has been one of the most important research fields in modern finance. In this paper we will assume that (i) each investor can assign a welfare, or utility, score to competing investment portfolios based on the expected return and risk of the portfolios; and (ii) the rates of return on securities...

he covariance matrix of asset returns is important for a wide range of individuals.1 Academics use estimates of the covariance matrix to test asset-pricing theories. Portfolio managers use the covariance matrix in designing tracking strategies where the return on their portfolio is designed to closely follow the return on a benchmark portfolio. Risk managers use the matrix to construct measures...

in this study, we focused on tehran stock exchange market analysis based on applying moving average rules. the tehran stock exchange in the middle east has evolved into an exciting and growing marketplace where individual and institutional investor trade securities of over 420 companies. in an attempt to examine the ability to earn excess return by exploiting moving average rules, the average a...

organizations need to evaluate project proposals and select the ones that are the most effective in reaching the strategic goals by considering sustainability issue. in order to enhance the effectiveness and the efficiency of project oriented organizations, in this paper a new multi-objective decision making (modm) approach of sustainable project portfolio selection is proposed which applies in...

We show that Black Capital Asset Pricing Model (Black CAPM) is extremely sensitive to the choice of the market portfolio and becomes unstable as market portfolios approach the Global Minimum-Variance portfolio. When market portfolios approach the minimum-variance portfolio, the expected return on the zero beta asset approaches negative infinity and its variance increases rapidly. Moreover, expe...

This paper describes the DEA-based investment strategy for constructing of a stock portfolio in the Croatian stock market. The relative efficiency of the DMUs, which are in this case the selected stocks from Zagreb Stock Exchange, is obtained from the output oriented CCR and BCC models. The set of inputs consists of risk measures, namely return variance, Value at Risk (VaR) and beta coefficient...

Using a Genetic Algorithm (GA), an artificial intelligence technique, this study proposes an user-interactive dynamic portfolio selection strategy using a decision support system that will generate an optimal investment mix of assets based on user selection by maximizing the return of the Sharpe Ratio, a measure of the excess return received on a portfolio for the increase of volatility by acqu...