| 极值理论下的香港汇丰控股VaR实证分析 |
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| 引用本文： | 王晓辉,庄亮亮.极值理论下的香港汇丰控股VaR实证分析[J].科学技术与工程,2011,11(16). |
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| 作者姓名： | 王晓辉 庄亮亮 |
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| 作者单位： | 华南理工大学理学院,广州,510641 |
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| 摘 要： | 极值理论可以更精确的处理金融数据的厚尾特性，选取香港上市的汇丰控股数据，运用POT方法做实证分析，对时间序列取门限值（Threshold），对超过门限的样本数据建模，极限点渐进分布服从GPD分布，估计模型参数，检验模型的合理性，并给出置信度为95%下的VaR。
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| 关 键 词： | GPD分布 POT模型 门限 泊松过程 |
| 收稿时间： | 2/10/2011 8:32:27 PM |
| 修稿时间： | 2/10/2011 8:32:27 PM |
VaR Analysis of HSBC Holdings in Hong Kong based on Extreme Value Theory |
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| wangxiaohui and zhuangliangliang.VaR Analysis of HSBC Holdings in Hong Kong based on Extreme Value Theory[J].Science Technology and Engineering,2011,11(16). |
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| Authors: | wangxiaohui and zhuangliangliang |
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| Institution: | South China University of Technology |
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| Abstract: | Extreme value theory can describe the heavy tail characteristics of finance data more exactly. We took HSBC Holdings in Hong Kong as an example, gave the data analysis by the method of POT as follows: chose the threshold of the data series, modelinged the sample data excess the threshold whose limit converges to the distribution of GPD, estimated parameters , test the reasonability and gave the VAR under 95% confidence level. |
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| Keywords: | GPD distribution POT model Threshold Poisson process |
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