Search results for "Folio"
showing 10 items of 319 documents
Minimising value-at-risk in a portfolio optimisation problem using a multi-objective genetic algorithm
2011
[EN] In this paper, we develop a general framework for market risk optimisation that focuses on VaR. The reason for this choice is the complexity and problems associated with risk return optimisation (non-convex and non-differential objective function). Our purpose is to obtain VaR efficient frontiers using a multi-objective genetic algorithm (GA) and to show the potential utility of the algorithm to obtain efficient portfolios when the risk measure does not allow calculating an optimal solution. Furthermore, we measure differences between VaR efficient frontiers and variance efficient frontiers in VaR-return space and we evaluate out-sample capacity of portfolios on both bullish and bearis…
Controlling risk through diversification in portfolio selection with non-historical information
2017
We deal with the portfolio selection problem for investors having information on the expected returns of the assets based not only on historical data. In the absence of a way of measuring the risk of non-historical information, the investor may try to adjust it through the consideration of a suitable set of diversification constraints. With this aim, we relate the concept of value of information (recently introduced by Kao and Steuer) to a qualitative subjective measure of the investor’s level of confidence in his/her non-historical information. As an illustration, we analyze the behavior of the proposed indicator in the Spanish IBEX35 index for risk, upper bound, semicontinuous variable an…
Toward an understanding of price wars: Their nature and how they erupt
2001
Abstract This paper aims to improve our understanding of the unique phenomenon of market competition, called price wars, as little is known about their nature and how they erupt. More precisely, we offer selected illustrations of the reality of price wars, identify key attributes of price wars, propose a definition of price wars, and offer a conceptual framework in which early warning signals (EWSs) of price wars are distilled and linked to the likelihood and the intensity of such wars. Also, initial empirical findings on some of the effects of price wars are offered, showing that price wars inflict substantial damage on the companies involved. Implications for researchers entail that numer…
Innovating across boundaries: A portfolio perspective on innovation partnerships of multinational corporations
2016
Abstract This paper examines how and under what conditions alliance portfolio diversity influences a firm's innovative performance, with special attention being given to potential performance differences between multinational corporations (MNCs) and domestic firms. Analyses of data from 1045 German firms, among which 598 MNCs, revealed an inverted U-shaped relationship between alliance portfolio diversity and MNCs’ innovative performance. Findings also indicate MNCs to be better positioned than their domestic counterparts with regards to translating alliance portfolio diversity into superior innovative performance. Importantly though, this only holds for MNCs equipped with strong internal R…
MARKET CORRELATION, MARKET RETURNS AND PORTFOLIO IMPLICATION
2012
In this paper we examine the market correlation and market returns from Romanian perspective. Market returns are higher in emerging markets than developed market returns, but form portfolio perspective it`s also important to evaluate how much correlations are changing in emerging markets. Our results are important in allocation of financial instruments in institutional portfolio management.
A Portfolio Problem with Uncertainty
2000
In this paper we present two models for cash flow matching with an uncertain level of payments at each due date. To solve the problem of minimising the initial investment we use the scenario method proposed by Dembo, and the robust optimisation method proposed by Mulvey et al. We unify these optimisation methods in a general co-ordinated model that guarantees a match under every scenario. This general model is also a multi-objective programming problem. We illustrate this methodology in a problem with several scenarios.
Evolutionary multi-objective optimization algorithms for fuzzy portfolio selection
2016
Graphical abstractDisplay Omitted HighlightsWe consider a constrained three-objective optimization portfolio selection problem.We solve the problem by means of evolutionary multi-objective optimization.New mutation, crossover and reparation operators are designed for this problem.They are tested in several algorithms for a data set from the Spanish stock market.Results for two performance metrics reveal the effectiveness of the new operators. In this paper, we consider a recently proposed model for portfolio selection, called Mean-Downside Risk-Skewness (MDRS) model. This modelling approach takes into account both the multidimensional nature of the portfolio selection problem and the requir…
Portfolio optimization using a credibility mean-absolute semi-deviation model
2015
We present a cardinality constrained credibility mean-absolute semi-deviation model.We prove relationships for possibility and credibility moments for LR-fuzzy variables.The return on a given portfolio is modeled by means of LR-type fuzzy variables.We solve the portfolio selection problem using an evolutionary procedure with a DSS.We select best portfolio from Pareto-front with a ranking strategy based on Fuzzy VaR. We introduce a cardinality constrained multi-objective optimization problem for generating efficient portfolios within a fuzzy mean-absolute deviation framework. We assume that the return on a given portfolio is modeled by means of LR-type fuzzy variables, whose credibility dist…
Portfolios with fuzzy returns: Selection strategies based on semi-infinite programming
2008
AbstractThis paper provides new models for portfolio selection in which the returns on securities are considered fuzzy numbers rather than random variables. The investor's problem is to find the portfolio that minimizes the risk of achieving a return that is not less than the return of a riskless asset. The corresponding optimal portfolio is derived using semi-infinite programming in a soft framework. The return on each asset and their membership functions are described using historical data. The investment risk is approximated by mean intervals which evaluate the downside risk for a given fuzzy portfolio. This approach is illustrated with a numerical example.
On the Computation of the Efficient Frontier of the Portfolio Selection Problem
2012
An easy-to-use procedure is presented for improving theε-constraint method for computing the efficient frontier of the portfolio selection problem endowed with additional cardinality and semicontinuous variable constraints. The proposed method 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 it comprises and the change points between them. This information is useful for performing a sensitivity analysis as well as for providing additional criteria to the investor in order to select an efficient portfolio. Computational results are provided to test the efficiency of the algorithm and to i…