A theoretical framework incorporating the basic convergence effect in the value-at-risk model

被引:0
|
作者
Lee, Chin-Shen [1 ]
Yuan, Shu-Fang [2 ]
机构
[1] Ming Chuan Univ, Dept Finance, Taichung, Taiwan
[2] Nanhua Univ, Dept Business Adm, Chiayi 622, Taiwan
来源
JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS | 2007年 / 10卷 / 03期
关键词
VaR; delta valuation; basic convergence effect;
D O I
10.1080/09720510.2007.10701259
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
An early VaR technique, Delta Valuation (Jorion (2000)), which considers the first partial derivatives, is generally adopted in evaluating the risk exposures of futures. However, we believe that if the poor assumption where the basic convergence effect of the relationship between futures prices and spot prices presumed in Delta Valuation is ignored, it will lead to the predicted VaR of futures being consistently underestimated. Hence, an adjusted model that incorporates the basic convergence effect into the risk valuation process is highly encouraged in this article as a replacement for the traditional model. Our empirical results indicate that there is a significant improvement in the accuracy of the predicted estimates using the adjusted model as compared with the traditional model. The evidence supports the adoption of an approach that uses the adjusted model proposed in this paper to estimate the VaR for futures data.
引用
收藏
页码:353 / 375
页数:23
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