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基于因果模型的Delt-EVT^(TM)技术在证券经纪业风险管理中的应用

The Application of Delt-EVT^(TM) Technique Based On Cause-Effect Model in the Securities Broking Operational Risk Management
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摘要 新的巴塞尔协议将操作风险纳入风险资本范畴,证券经纪业务是投资银行的重要业务,其操作风险逐渐受到重视。论文在评述操作风险定性与定量技术的基础上,提出基于因果模型的Delt-EVTTM是一种典型的综合性分析方法,能较好解决操作风险后尾分布现象;并以证券经纪业交易业务为例,分析了该方法的应用流程,对我国金融业实施有效的操作风险管理提供了可能。 All kinds of qualitative technique and quantitative technique of operational risk were reviewed. As a result, it showed that Delt - EVT^TM is the best fittest all - around technique of operational risk which can analyze the fat tails distribution of operational risk. Finally, it illustrates the trading processes of Chinese security broking industry was illustrated and the key processes of Delt - EVT^TM applied in broking was given, which provides an approach on risk management of security broking industry.
作者 杨淑琴
出处 《贵州工业大学学报(自然科学版)》 CAS 2007年第2期56-59,64,共5页 Journal of Guizhou University of Technology(Natural Science Edition)
基金 上海市科技部上海市金融信息技术重点实验室项目
关键词 操作风险 极值理论(EVT) 因果模型 Delt—EVT^TM operational risk extreme value theory (EVT) cause and effect model Delt - EVT^TM
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  • 1Marshall C L.Measuring and managing operational risks in financial institutions:tools,techniques,and other resources[M].Singapore: John Wiley & Sons, 2001.
  • 2Working paper on the regulatory treatment of operational risk[R].Basel, Switzerland: Basel Committee on Banking Supervision, 2001.
  • 3Hiwatashi J.Solutions on measuring operational risk[Z].Capital Markets News, Federal Reserve Bank of Chicago, September 2002.
  • 4Mirzai B.Operational risk quantification and insurance[Z].Capital Allocation for Operational Risk Conference,Federal Reserve Bank of Boston,2001-11-15.
  • 5Philippe Jorion. Value at Risk, 2nd edition[M] . McGraw- Hill, 2001.
  • 6Yamai, Y., and T. Yoshiba. On the Validity of Value at Risk: Comparative Analyses with Expected Shortfall[R]. Institute for Monetary and Economic Studies Discussion Paper Series, No. 2001 - E - 14, Bank of Japan, March 2001 a.
  • 7Acerbi, C. , and D. Tasche. Expected Shortfall: a natural coherent alternative to Value at Risk [R]. Working Paper, 2001.
  • 8McNEIL, Alexander J. Estimating the Tails of Loss Severity Distributions Using Extreme Value Theory [J].ASTIN Bulletin, 1997, (27): 117 - 137.
  • 9McNEIL, Alexander J. Extreme Value Theory for Risk Managers [R]. Working Paper, 1999.
  • 10Medova E. A. Measuring Risk by Extreme Values[J].Risk, 2000, (11) :20- 26.

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