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应用半参数方法计算市场风险的受险价值
引用本文:冯春山,蒋馥,吴家春.应用半参数方法计算市场风险的受险价值[J].系统管理学报,2005,14(4):379-381.
作者姓名:冯春山  蒋馥  吴家春
作者单位:上海交通大学,安泰管理学院,上海,200052
摘    要:由于厚尾分布,通常基于正态分布假定的VaR参数法在99%置信水平下计量市场风险时会严重低估风险,文中提出了一种半参数方法。通过对石油市场收益数据的检验,在99%置信水平下,半参数方法的风险计量效果好于通常的参数方法。

关 键 词:石油市场收益  受险价值  半参数法
文章编号:1005-2542(2005)04-0379-03
修稿时间:2004年2月26日

A Study of Value at Risk of Market Risk by Applying Semi-parametric Approach
FENG Chun-shan,JIANG Fu,WU Jia-chun.A Study of Value at Risk of Market Risk by Applying Semi-parametric Approach[J].Systems Engineering Theory·Methodology·Applications,2005,14(4):379-381.
Authors:FENG Chun-shan  JIANG Fu  WU Jia-chun
Abstract:Because of the fat tail distribution, the market risk will be underestimated if using the usual parametric model, which is based on the normal distribution hypothesis, to compute the VaR under 99% likelihood level. This paper puts forward a semi-parametric approach to solve this problem. it is tested by the oil market return data. The empirical result shows that it is much better than the usual parametric model under the 99% likelihood level.
Keywords:oil market return  Value at Risk(VaR)  semi-parametric approach
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