Analytical Techniques in the Assessment of Credit Risk

An Overview of Methodologies and Applications

Business & Finance, Management & Leadership, Operations Research, Industries & Professions, Insurance
Cover of the book Analytical Techniques in the Assessment of Credit Risk by Michalis Doumpos, Christos Lemonakis, Dimitrios Niklis, Constantin Zopounidis, Springer International Publishing
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Author: Michalis Doumpos, Christos Lemonakis, Dimitrios Niklis, Constantin Zopounidis ISBN: 9783319994116
Publisher: Springer International Publishing Publication: September 29, 2018
Imprint: Springer Language: English
Author: Michalis Doumpos, Christos Lemonakis, Dimitrios Niklis, Constantin Zopounidis
ISBN: 9783319994116
Publisher: Springer International Publishing
Publication: September 29, 2018
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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