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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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Erica Löfström,Kristoffer S. Fjællingsdalnd (e.g., from traditional corporate and consumer loans to crowdfunding, social lending, etc.) and tighter regulatory requirements are imposed (Basel accords and new reporting and accounting standards such as IFRS 9), new opportunities and challenges arise for practitioners and researchers.
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Credit Scoring and Rating,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
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Data Analytics for Developing and Validating Credit Models,vel of sophistication in terms of data preparation, analysis, and modeling. From a data analytics perspective, the construction of credit scoring and rating models can be considered as a classification task, that requires the development of models differentiating the borrowers by their level of cred
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Conclusions and Future Research,nd (e.g., from traditional corporate and consumer loans to crowdfunding, social lending, etc.) and tighter regulatory requirements are imposed (Basel accords and new reporting and accounting standards such as IFRS 9), new opportunities and challenges arise for practitioners and researchers.
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