会议专题

Study on Dynamic VaR Measurement Base on ARMA (1, 1)-APGARCH (1, 1) Model and EVT

This paper builds ARMA-APGARCH model to describe autocorrelation, volatility cluster and leverage effort. Estimate the parameters and calculate standardized residuals. Then compute quartile and value at risk. Empirical study in shanghai stock market present that the tail of standardized residuals is near independent identically distributed, and it fit GPD. VaR is reasonably and accurately by this method.

ARMA-APGARCH Model Eztreme Value Theory POT Model Value at Risk

LIU Changqing LI Shushan

College of Information Science and Engineering, Shandong University of Science and Technology, Qingdao, P.R.China, 266510

国际会议

2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)

烟台

英文

1-5

2008-08-14(万方平台首次上网日期,不代表论文的发表时间)