Credit risk management : pricing, measurement, and modeling /

Credit risk management : pricing, measurement, and modeling /

This book introduces to basic and advanced methods for credit risk management. It covers classical debt instruments and modern financial markets products. The author describes not only standard rating and scoring methods like Classification Trees or Logistic Regression, but also less known models th...

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Bibliographic Details
Main Author: Witzany, Jirí
Format: Book
Language:English
Published: Cham : Springer International, 2017
Subjects:
ADMINISTRACION FINANCIERA
RIESGO DEL CREDITO
RIESGO DE SOLVENCIA
Online Access:Información sobre el autor

MARC

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300 |a xi, 256 p. 
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505 0 |a Introduction -- Credit Risk Management -- Rating and Scoring Systems -- Portfolio Credit Risk -- Credit Derivatives -- Conclusion -- Index. 
520 3 |a This book introduces to basic and advanced methods for credit risk management. It covers classical debt instruments and modern financial markets products. The author describes not only standard rating and scoring methods like Classification Trees or Logistic Regression, but also less known models that are subject of ongoing research, like e.g. Support Vector Machines, Neural Networks, or Fuzzy Inference Systems. The book also illustrates financial and commodity markets and analyzes the principles of advanced credit risk modeling techniques and credit derivatives pricing methods. Particular attention is given to the challenges of counterparty risk management, Credit Valuation Adjustment (CVA) and the related regulatory Basel III requirements. As a conclusion, the book provides the reader with all the essential aspects of classical and modern credit risk management and modeling. 
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