Titlebook: Analytical Techniques in the Assessment of Credit Risk; An Overview of Metho Michalis Doumpos,Christos Lemonakis,Constantin Zop Textbook 20

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Disruptive Cooperation in Digital Healthmulticriteria decision aid (value function models and outranking models). Moreover, performance measurement issues are discussed, focusing on the presentation of various popular metrics for evaluating the predictive power and information value of credit scoring and rating models.

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Disruptive Environmental Communicationtivariate clustering approach is employed to obtain analyze credit card loan applications. A publicly available data set of 30,000 cases is analyzed with the .-medoids algorithm to identify clusters of borrowers having similar characteristics. The results are discussed in terms of the common feature

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2364-687X l risk management, but also helpful to researchers and professionals working in financial and business analytics, financial modeling, credit risk analysis, and decision science.978-3-030-07599-6978-3-319-99411-6Series ISSN 2364-687X Series E-ISSN 2364-6888

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EURO Advanced Tutorials on Operational Researchhttp://image.papertrans.cn/a/image/156669.jpg

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978-3-030-07599-6Springer Nature Switzerland AG 2019

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The Future of Aging and Digital Health,itutions and corporate clients. Credit ratings provide risk classifications for corporate loans, bond issues, and countries (e.g., sovereign credit ratings). This chapter describes the basic characteristics of both schemes. The presentation begins with a discussion of the different contexts of scori