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信用风险建模中的随机过程 被引量:1

Stochastic Processes in Credit Risk Modeling
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摘要 信用风险建模中广泛使用跳跃过程描述违约和等级转移事件,从信用风险的角度研究跳跃过程的基本概念和性质十分必要。泊松过程用来描述一般动态变化,而复合的及广义双重随机泊松过程用来描述非时齐动态变化。相关实例和模拟研究有助于更好的理解信用风险随机过程的特征并正确建模。 In credit risk modeling,jump process is widely used to describe both default and rating transition events,and it is very necessary to study some basic definitions and properties of the jump process from the perspective of credit risk.Poisson process is used to describe common dynamic change,while the compounded and double stochastic Poisson process is used to describe the time-inhomogeneous dynamic change.Relevant examples and simulated studies contribute to better understanding the features of the stochastic processes of credit risk and correct modeling.
出处 《广西财经学院学报》 2012年第1期98-103,共6页 Journal of Guangxi University of Finance and Economics
基金 江西省高校人文社会科学研究规划项目"开放经济下信用风险转移对金融稳定的影响研究"(JJ1138)
关键词 信用风险 马尔科夫过程 泊松过程 credit risk Markov process Poisson process
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参考文献13

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同被引文献8

  • 1Lee, Wo-Chiang.Redefinition of the KMV model's optimal default point based on genetic algorithms - Evidence from Taiwan.Expert Systems with Applications, 2011. Gou,Xiao-Ju.Applying KMV model to credit risk assessment of Chinese listed firms.2009.
  • 2International Conference on Information Man- agement, Innovation Management and Industrial Engineering, 2009,553-557.
  • 3Zhang Shengzhong.Global financial crisis's impact on the credit risk of logistics companies: Comparative analysis between China and us with KMV model.Proceedings - 2010 International Conference on Management of e-Commerce and e-Government,2010,116-121.
  • 4Li Hong, Chen Jun.Analysis in credit risk of listed company based on KMV modeL2010 International Conference on Management and Service Science,2010.
  • 5Grzybowska, Karwanski M.Examples of migration matrices models and their performance in credit risk analysis.Acta Physica Polonica A,2012 121(2):40-46.
  • 6韩艳艳,王波.基于logistic回归-KMV模型的上市公司信用风险评价研究[J].科技与管理,2011,13(1):104-107. 被引量:8
  • 7陈浩,夏红芳.我国上市公司信用风险度量及其影响因素的实证研究[J].金融教育研究,2012,25(1):28-34. 被引量:3
  • 8杨慧.KMV模型在中国上市公司信用风险度量中的实证研究[J].中南财经政法大学研究生学报,2006,0(6):64-66. 被引量:9

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