In this work, we use random matrix theory to analyze eigenvalues and see if there is a presence of pertinent information by using Marčenko–Pastur distribution. Thus, we study cross-correlation among stocks of Casablanca Stock Exchange. Moreover, we clean correlation matrix from noisy elements to see if the gap between predicted risk and realized risk would be reduced. We also analyze eigenvecto...

Ideal portfolio creation has been the focus of considerable machine learning research in the domain of finance. In this paper, the development of a two-stage platform for generating stable stock-based portfolios is explored. The first stage involves clustering of stocks based on time-weighted correlations, using a modified version of the K-Means++ algorithm. This clustering helps in the quantif...

The portfolio is a perfect combination of stock or assets, which an investor buys them. The objective of the portfolio is to divide the investment risk among several shares. Using non-parametric DEA and DEA-R methods can be of great significance in estimating portfolio. In the present paper, the efficient portfolio is estimated by using non-radial DEA and DEA-R models. By proposing non-radial m...

The paper investigates the first and second orders moment transmission between gold and Indian industrial sectors with an application of portfolio design and hedging effectiveness using generalised VAR-ADCC-BVGARCH model. Our findings indicate unidirectional significant return spillover from gold to stock sectors. The negative values of estimated time varying conditional correlations are mainly...

In this paper we study the problem of determining an optimal investment strategy for investors with different attitudes towards the trade-offs of risk and profit. The probability distribution of the return values of the stocks that are considered by the investor are assumed to be known, while the joint distribution is unknown. The problem is to find the best investment strategy in order to mini...

modern portfolio theories are based on markowitz’s portfolio optimization model that involves the assumption of mean variance behavior and therefore require the asymmetry and normality of returns. this issue also affects the capital asset pricing model that estimates systematic risk and uses it in pricing securities. this article analyzes the various measures of risk. the main purpose of this r...

contrarian and momentum investing strategies are two techniques which are used in stock markets to enhance portfolio return. contrarian investing strategy states that stocks which had better performances in the past should be sold and stocks that had poor performances should be bought. in practice, this strategy is used for a package of stocks and for portfolio formation. the main objective of ...

In this paper, we derive a portfolio optimization model by minimizing upper and lower bounds of loss probability. These bounds are obtained under a nonparametric assumption of underlying return distribution by modifying the so-called generalization error bounds for the support vector machine, which has been developed in the field of statistical learning. Based on the bounds, two fractional prog...

This is the first of the two companion papers which treat an infinite time horizon hereditary portfolio optimization problem in a market that consists of one savings account and one stock account.Within the solvency region, the investor is allowed to consume from the savings account and can make transactions between the two assets subject to paying capital gain taxes as well as a fixed plus pro...

Risk Budgeted portfolio optimization problem centering on the twin objectives of maximizing expected portfolio return and minimizing portfolio risk and incorporating the risk budgeting investment strategy, turns complex for direct solving by classical methods triggering the need to look for metaheuristic solutions. This work explores the application of an extended Ant Colony Optimization algori...