Study of Credit Risk with Stochastic Default Intensity Based on Markov Chain

被引:0
|
作者
Jia, Xujie [1 ]
Liu, Zhengyuan [2 ]
机构
[1] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[2] Acad Equipment Comand Technol, Dept Equipment Command, Beijing, Peoples R China
关键词
credit risk; default intensity; credit rating; default probability; Markov chain;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
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.
引用
收藏
页码:10729 / +
页数:2
相关论文
共 50 条
  • [41] Navigating default risk in supply chain finance: Guidelines based on trade credit and equity vendor financing
    Sun, Shuxiao
    Hua, Shengya
    Liu, Zhongyi
    Transportation Research Part E: Logistics and Transportation Review, 2024, 182
  • [42] Navigating default risk in supply chain finance: Guidelines based on trade credit and equity vendor financing
    Sun, Shuxiao
    Hua, Shengya
    Liu, Zhongyi
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2024, 182
  • [43] Semi-Markov migration process in a stochastic market in credit risk
    Vassiliou, P. -C. G.
    LINEAR ALGEBRA AND ITS APPLICATIONS, 2014, 450 : 13 - 43
  • [44] Supply chain coordination with trade credit and quantity discount incorporating default risk
    Zhang, Qinhong
    Dong, Ming
    Luo, Jianwen
    Segerstedt, Anders
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2014, 153 : 352 - 360
  • [45] Assessment of power customer credit risk based on set pair analysis and Markov chain model
    Economics and Management School, Wuhan University, Wuhan 430070, China
    不详
    Dianli Zidonghua Shebei Electr. Power Autom. Equip., 2009, 12 (37-40):
  • [46] Credit default swaps and their application in the credit risk management
    Mikocziova, Jana
    RIZENI A MODELOVANI FINANCNICH RIZIK, 2008, : 148 - 153
  • [47] Interacting default intensity with a hidden Markov process
    Yu, Feng-Hui
    Ching, Wai-Ki
    Gu, Jia-Wen
    Siu, Tak-Kuen
    QUANTITATIVE FINANCE, 2017, 17 (05) : 781 - 794
  • [48] Counterparty credit risk and the credit default swap market
    Arora, Navneet
    Gandhi, Priyank
    Longstaff, Francis A.
    JOURNAL OF FINANCIAL ECONOMICS, 2012, 103 (02) : 280 - 293
  • [49] Credit Risk and IFRS: The Case of Credit Default Swaps
    Bhat, Gauri
    Callen, Jeffrey
    Segal, Dan
    JOURNAL OF ACCOUNTING AUDITING AND FINANCE, 2014, 29 (02): : 129 - 162
  • [50] Credit default swaps and systemic risk
    Rama Cont
    Andreea Minca
    Annals of Operations Research, 2016, 247 : 523 - 547