ENGLISH

Analytical Techniques in the Assessment of Credit Risk: An Overview of Methodologies and Applications

Book information

Publisher
Springer International Publishing
Year
2019
ISBN
978-3-319-99410-9;978-3-319-99411-6
Language
english
Format
PDF
Filesize
2 MB (2019870 bytes)
Series
EURO Advanced Tutorials on Operational Research
Edition
1st ed.
Pages
VIII, 111\115
Time added
2019-01-12 07:59:26

Description

This book provides a unique, focused introduction to the analytical skills, methods and techniques in the assessment of credit risk that are necessary to tackle and analyze complex credit problems. It employs models and techniques from operations research and management science to investigate more closely risk models for applications within the banking industry and in financial markets. Furthermore, the book presents the advances and trends in model development and validation for credit scoring/rating, the recent regulatory requirements and the current best practices. Using examples and fully worked case applications, the book is a valuable resource for advanced courses in financial risk management, but also helpful to researchers and professionals working in financial and business analytics, financial modeling, credit risk analysis, and decision science. Front Matter ....Pages i-viii Introduction to Credit Risk Modeling and Assessment (Michalis Doumpos, Christos Lemonakis, Dimitrios Niklis, Constantin Zopounidis)....Pages 1-21 Credit Scoring and Rating (Michalis Doumpos, Christos Lemonakis, Dimitrios Niklis, Constantin Zopounidis)....Pages 23-41 Data Analytics for Developing and Validating Credit Models (Michalis Doumpos, Christos Lemonakis, Dimitrios Niklis, Constantin Zopounidis)....Pages 43-75 Applications to Corporate Default Prediction and Consumer Credit (Michalis Doumpos, Christos Lemonakis, Dimitrios Niklis, Constantin Zopounidis)....Pages 77-98 Conclusions and Future Research (Michalis Doumpos, Christos Lemonakis, Dimitrios Niklis, Constantin Zopounidis)....Pages 99-101 Back Matter ....Pages 103-111

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