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ASME Press Select Proceedings
International Conference on Electronics, Information and Communication Engineering (EICE 2012)Available to Purchase
By
Garry Lee
Garry Lee
Information Engineering Research Institute
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ISBN:
9780791859971
No. of Pages:
1008
Publisher:
ASME Press
Publication date:
2012
eBook Chapter
24 A Comparative Study of Modeling Credit Risk in Creditmetrics and KMV Available to Purchase
By
Shu Chen
Shu Chen
M. S. Statistics 2011, Statistics Department,
University of Virginia
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Page Count:
6
-
Published:2012
Citation
Chen, S. "A Comparative Study of Modeling Credit Risk in Creditmetrics and KMV." International Conference on Electronics, Information and Communication Engineering (EICE 2012). Ed. Lee, G. ASME Press, 2012.
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In the last 20 years, credit risk models have become a hot topic in the financial world. This paper reviews CrediMetrics and KMV, two well known industry credit risk models. Both of them are based on the asset value model originally proposed by Merton's asset value model. After briefly introducing credit ratings and Merton's asset value model, the framework of CreditMetrics and an example computed by R software follows. Then, KMV method is introduced and an example is given. Finally, CreditMetrics and KMV are compared.
Abstract
Keywords
Introduction
Introduction to Credit Rating
Merton's Assets Value Mode[3]
Creditmetrics Model
KMV Method
Comparison of Credit Metrics and KMV
Conclusion
References
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