13 research outputs found

    A multicriteria hierarchical discrimination approach for credit risk problems

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    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

    Financial decision support: an overview of developments and recent trends

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    Assessing global investing risk : a multicriteria preference disaggregation approach

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    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

    A Multicriteria Assessment Approach to the Energy Trilemma

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    International audienc
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