Evaluation of equity mutual funds’ performance using a multicriteria methodology

The evaluation of the performance of mutual funds has been a very interesting research topic for not only researchers, but also for managers of financial, banking and investment institutions. In this study a well-known MCDA method based on the theory of outranking relations, the PROMETHEE II method (Preference Ranking Organisation Method for Enrichment Evaluations; [Brans and Vincke (1985)]) is used to develop outranking models for mutual funds’ performance. This method is applied on real-world data of mutual funds derived from the Association of Greek Institutional Investors. The results of the PROMETHEE II method are indicative of ranking the funds from the best to the worst ones according to their performance.peer-reviewe

A multicriteria hierarchical discrimination approach for credit risk problems

Recently, banks and credit institutions have shown an increased interest in developing and implementing credit-scoring systems for taking corporate and consumer credit granting decisions. The objective of such systems is to analyze the characteristics of each applicant (firm or individual) and support the decision making process regarding the acceptance or the rejection of the credit application. This paper addresses this problem through the use of a multicriteria classi - fication technique, the M.H.DIS method (Multi-group Hierarchical DIScrimination). M.H.DIS is applied to real-world case studies regarding the assessment of corporate credit risk and the evaluation of credit card applications. The results obtained through the M.H.DIS method are compared to the results of three wellknown statistical techniques, namely linear and quadratic discriminant analysis, as well as logit analysis.peer-reviewe

Management and takeover decisions

Firms with good management optimize and synthesize human resources, leadership, and technical and conceptual skills to enhance firm value. In this paper, we examine the role of management in merger and acquisition (M&A) decisions. M&A decisions are among the most important corporate decisions, on which firms spend a lot of resources and managerial qualities. We estimate management as a latent variable using a structural equation production model and Bayesian techniques. The key advantage of the Bayesian approach is the use of informative priors from survey-based management estimation methods, which are however available for a limited number of firms. Subsequently, we examine the effect of management on takeover events. We first show that management, on average, increases the probability of M&A deals. However, we also uncover a nonlinear U-shaped effect, which is consistent with the theoretical premise that poor management leads to many value-decreasing M&A deals, whereas good management leads to many value-increasing M&A deals

Assessing global investing risk : a multicriteria preference disaggregation approach

The emergence of many new markets in fast-growing regions presents fertile areas for investment growth but also an abundance of obvious and hidden risks. A framework is developed for assessing investment risk in foreign countries. Both multi-variate statistical methods and multi-criteria decision analysis are employed and compared. The latter include the UTADIS family based on disaggregation analysis and a new method, Multi-group Hierarchical DIScrimination (M.H.DIS). They are used to assess investing risk in 51 countries having stock exchanges, according to 27 criteria. The parameters of the developed models are determined so that the results best match the risk rating of those countries by international experienced investors.peer-reviewe

Developing a composite index for intrapreneurial orientation in small and medium-sized enterprises: A comprehensive dual methodology

International audienc