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RAROC模型下单笔贷款业务经济资本的估计与仿真测算

Economic Capital Estimation and Simulation Measure of Individual Portfolio Components in RAROC Model

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【作者】 刘莉亚邓云胜任若恩

【Author】 Liu Liya, Deng Yunsheng, Ren Ruoen

【机构】 上海财经大学现代金融研究中心浦东发展银行发展研究部北京航空航天大学经济管理学院

【摘要】 本文研究了在违约模型与盯市模型两种不同情形下单笔贷款业务经济资本的估计问题,其中:在研究盯市模型下单笔贷款经济资本的估计问题时,基于CreditMetricsTM系统,分别采用蒙特卡罗仿真基本方法和优化方法进行了研究,进一步还参考已有的试验参数进行了仿真试验,试验结果表明:我们所推导的单笔业务经济资本度量方法具有风险敏感性,即按照这一度量方法计算的风险资本敏感地依赖于贷款本金、信用等级、违约相关系数这些贷款自身以及贷款组合的风险要素。此外,试验结果还表明所研究的优化方法不仅可以提高贷款组合信用风险VaR的计算效率,还可以提高单笔贷款经济资本的计算效率。

【Abstract】 This paper systematically studied economic capital estimation of individual portfolio components under the two different circumstances of default-mode model and mark-to-market model Based on the principle of CreditMetricsTM system, we respectively adopted Monte Carlo fundamental approach and optimization approach to study economic capital estimation of individual portfolio components in mark-to-market mode Based on Matlab language, simulation experiments are carried out and the result shows that economic capital measure of individual portfolio components deduced from this paper has the desired risk sensitivity property, in other words, risk capital sensitively rests on loan principle, credit ratings, default correlation, and other risk factors associated with individual loan and loan portfolio In addition, experiment result also shows that Monte Carlo optimization approach studied in this paper can improve the computational efficiency of credit risk VaR for not only loan portfolio and economic capital measure of individual loan

【基金】 国家自然科学基金研究项目资助(项目号:70173029);上海市哲学社会科学2004年规划课题资助;上海财经大学211课题项目资助
  • 【文献出处】 国际金融研究 ,Studies of International Finance , 编辑部邮箱 ,2005年02期
  • 【分类号】F830.5
  • 【被引频次】66
  • 【下载频次】1425
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