DocumentCode :
478951
Title :
Study of Credit Risk with Stochastic Default Intensity Based on Markov Chain
Author :
Jia, Xujie ; Liu, Zhengyuan
Author_Institution :
Sch. of Manage. & Econ., Beijing Inst. of Technol., Beijing
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Under the condition of stochastic default intensity, correlation of default intensity and default-free interest rate, the paper constructed the term structure model of credit risk. A Markov chain based method is proposed for analyzing the credit risk Based on reliability interference theory, we get the indexes such as the default probability, the mean time to the first default, steady probability vector of the credit rating and so on. By introducing the model series system in reliability into the studies of credit risk, the paper constructed a portfolio model with several bonds, and got the solution. The results from this study are of value in credit risk management. They can be used in evaluating and measuring the performance of credit risk and can provide significant help and guidance.
Keywords :
Markov processes; financial management; reliability theory; risk analysis; Markov chain; credit risk; reliability interference theory; stochastic default intensity; Economic indicators; Interference; Paper technology; Portfolios; Principal component analysis; Reliability theory; Risk analysis; Risk management; Stochastic processes; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.2495
Filename :
4680684
Link To Document :
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