The evaluation of a portfolio and its risk exposure with respect to market movements become di cult as soon as contingent claims are involved. In case only the performance of a portfolio has to be determined, practitioners use the mark-to-market pricing each trading day and observe the value changes of the underlying portfolio ex post. A price series becomes available which reveals not only the...

A portfolio management is concerned with objectives related to the outperformance of the return of a target benchmark portfolio. In this paper, we consider a dynamic active portfolio management problem where the objective is related to the tradeoff between the achievement of performance goals and the risk of a shortfall. Specifically, we consider an objective that relates the probability of ach...

A Markowitz-type portfolio selection problem is to minimize a deviation measure of portfolio rate of return subject to constraints on portfolio budget and on desired expected return. In this context, the inverse portfolio problem is finding a deviation measure by observing the optimal mean-deviation portfolio that an investor holds. Necessary and sufficient conditions for the existence of such ...

The purpose of this paper is to propose a practical branch and bound algorithm for solving a class of long-short portfolio optimization problem with concave and d.c. transaction cost and complementarity conditions on the variables. We will show that this algorithm can solve a problem of practical size and that the longshort strategy leads to a portfolio with significantly better risk-return str...

Portfolio management starts with asset allocation. There is a consensus that asset allocation plays an important role in determining portfolio performance (Arshanapalli, Coggin & Nelson, 2001). Active portfolio management implies the rebalancing of the existing portfolio by buying and selling assets. The aim of rebalancing is to improve the performance of the managed portfolio by adjusting it t...

one of the latest approaches for analyzing the coupled time series is mf-dxa. this technique has been used in many disciplines such as finance. in this paper, we have analyzed tehran stock exchange indexes by mf-dxa and have found a scaling behavior between the industrial, financial and price indexes. by surrogating, we could see that the effects of low probability events in industrial and fina...

Portfolio selection is a relevant problem in finance and economics. It consists in selecting a portfolio of assets considering a given expected return such that the risk of the portfolio is minimized. Several approaches have been proposed to tackle this problem, which are mainly based on mathematical programming techniques and metaheuristics. In this paper we illustrate how this problem can eas...

Portfolio selection represents a challenge where investors look for the best firms of the market to be selected. This research presents a real world application at the Mexican Stock Exchange (La Bolsa) using a set of heuristic algorithms for portfolio selection. The heuristic algorithms (random, genetic, greedy, hill-climbing and simulated annealing) were implemented based on the Markowitz Mode...

The Black Scholes model of option pricing constitutes the cornerstone of contemporary valuation theory. However, the model presupposes the existence of several unrealistic and rigid assumptions including, in particular, the constancy of the return on the “hedge portfolio”. There, now, subsists ample justification to the effect that this is not the case. Consequently, several generalisations of ...

C onservationists must make hard choices about where to invest limited resources for the protection of biological diversity. Numerous prioritization schemes have identified places where biodiversity is especially rich or risks are especially urgent (1). Application of return on investment (ROI) thinking promises to make conservation investments much more efficient by explicitly incorporating ec...