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Statistical Inference for Nonstationary AR-ARCH/GARCH Models

Time:2014-06-11  Author:  ClickTimes:
TitleStatistical Inference for Nonstationary AR-ARCH/GARCH Models
Speaker 陈敏研究员 中国科学院应用数学研究所
Date/Time2014年6月16日(周一)下午3:00-4:00
Place六号楼二楼报告厅
Abstract
Brief Introduction to Speaker

In this talk, We studies the nonstationarity of the first-order double AR model. Based on this, it is shown that the quasi-maximum likelihood estimator of this model is consistent and asymptotically normal. We investigates also a quasi-maximum exponential likelihood estimator for a nonstationary GARCH (1,1) model. Asymptotic normality of this estimator is derived . Simulation studies are carried out to assess the performance of the quasi-maximum likelihood estimator/quasi-maximum exponential likelihood estimator in finite samples.