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风险值VaR和尾部条件期望TCE的实证比较分析
引用本文:王苹,翟富菊.风险值VaR和尾部条件期望TCE的实证比较分析[J].科学技术与工程,2009,9(20).
作者姓名:王苹  翟富菊
作者单位:青岛科技大学数理学院,青岛,266042 
摘    要:由于风险值VaR具有一定局限性,因此人们在VaR的基础上又提出了一种新的度量市场风险的方法:尾部条件期望TCE.利用GED分布和T分布的TGARCH-M模型建立计算公式,并实证比较了VaR和TCE度量市场风险的准确性,结果表明,在通常情况下TCE和VaR均能较准确地度量市场风险.

关 键 词:风险值  尾部条件期望  模型  GED分布  准确性
收稿时间:6/22/2009 1:08:09 PM
修稿时间:7/7/2009 1:25:58 PM

Comparative analysis of Value-at-Risk(VaR) and tail conditional expectation(TCE) in application
wangping and zhaifuju.Comparative analysis of Value-at-Risk(VaR) and tail conditional expectation(TCE) in application[J].Science Technology and Engineering,2009,9(20).
Authors:wangping and zhaifuju
Institution:School of Mathematics and Physics, Qingdao Unniversity of Science and Technology
Abstract:Because of the disadvantage of the VaR model, a new measure is proposed: tail conditional expectation(TCE). In this paper, VaR and TCE are compared in accuracy based on several formulae of TGARCH-M model with GED distribution and T distribution. The indicates that TCE and VaR all can usually measure financial risk accurately.
Keywords:TGARCH-M
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