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