期刊文献+

Estimation for nearly unit root processes with GARCH errors 被引量:4

Estimation for nearly unit root processes with GARCH errors
下载PDF
导出
摘要 In this paper the limiting distribution of the least square estimate for the autoregressive coefficient of a nearly unit root model with GARCH errors is derived. Since the limiting distribution depends on the unknown variance of the errors, an empirical likelihood ratio statistic is proposed from which confidence intervals can be constructed for the nearly unit root model without knowing the variance. To gain an intuitive sense for the empirical likelihood ratio, a small simulation for the asymptotic distribution is given. In this paper the limiting distribution of the least square estimate for the autoregressive coefficient of a nearly unit root model with GARCH errors is derived. Since the limiting distribution depends on the unknown variance of the errors, an empirical likelihood ratio statistic is proposed from which confidence intervals can be constructed for the nearly unit root model without knowing the variance. To gain an intuitive sense for the empirical likelihood ratio, a small simulation for the asymptotic distribution is given.
出处 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2010年第3期297-306,共10页 高校应用数学学报(英文版)(B辑)
基金 Supported by the National Natural Science Foundation of China(10801118) Specialized Research Fund for the Doctor Program of Higher Education(200803351094)
关键词 Nearly unit root GARCH error least square estimation Ornstein-Uhlenbeck process empirical likelihood. Nearly unit root, GARCH error, least square estimation, Ornstein-Uhlenbeck process, empirical likelihood.
  • 相关文献

参考文献17

  • 1N H Chan, L Peng, Y C Qi. Quantile inference for near-integrated autoregressive time series with infinite variance, Statist Sinica, 2006, 16: 15-28.
  • 2NH Chan, C Z Wei. Asymptotic inference for nearly stationary AR(1) processes, Ann Statist, 1987, 15: 1050-1063.
  • 3N H Chan, R M Zhang. Inference for nearly nonstationary processes under strong dependence with infinite variance, Statist Sinica, 2009, 19: 925-947.
  • 4C Chuang, N H Chan. Empirical likelihood for autoregressive models, with applications to unstable time series, Statist Sinica, 2002, 12: 387-407.
  • 5P Hall, C C Heyde. Martingale Limit Theory and Its Application, Academic Press, 1980.
  • 6P Hall, B LaScala. Methodology and algorithms of empirical likelihood, Internat Statist Rev, 1990, 58: 109-127.
  • 7B E Hansen. Convergence to stochastic integrals for dependent heterogeneous processes, Econometric Theory, 1992, 8: 489-500.
  • 8G Li, W K Li. Least absolute deviation estimation for unit root processes with GARCH errors, Econometric Theory, 2009, 25: 1208-1227.
  • 9SLing, WKLi. Asymptotic inference for unit root processes with GARCH(1,1) errors, Econometric Theory, 2003, 19: 541-564.
  • 10S Ling, W K Li, M McAleer. Estimation and testing for unit root processes with GARCH(1, 1) errors: theory and Monte Carlo evidence, Econometric Rev, 2003, 22: 179-202.

同被引文献39

  • 1Chan N H, Wei C Z. Asymptotic inference for nearly nonstationary AR(1) processes[J]. Ann Statist, 1987, 15: 1050-1063.
  • 2Phillips P C B. Towards a unified asymptotic theory for autoregression[J]. Biometrika, 1987, 74: 535-547.
  • 3Buchmann B, Chan N H. Asymptotic theory of least squares estimators for nearly unstable processes under strong dependence[J]. Ann Statist, 2007, 35: 2001-2017.
  • 4Chan N H. Inference for near-integrated time series with infinite variance[J]. J Amer Statist Assoc, 1990, 85: 1069-1074.
  • 5Hwang K S, Pang T X. Asymptotic inference [or nearly nonstationary AR(1) processes with possibly infinite variance[J]. Statist Probab Lett, 2009, 79: 2374-2379.
  • 6Chan N H, Zhang R M. Inference for nearly nonstationary processes under strong dependence with infinite variance[J]. Statistica Sinica, 2009, 19: 925-947.
  • 7Horvth L, Kokoszka P. A bootstrap approximation to a unit root test statistic for heavy- tailed observations[J]. Statist Probab Lett, 2003, 62: 163-173.
  • 8Zhang Linxin, Yang Xiaorong. The limit distribution of the bootstrap for the unit root test statistic when the residuals are dependent[J]. Metrika, 2007, 65: 195-206.
  • 9DICKEY D A, FULLER W A. Distribution of the es- timators for autoregressive time series with a unit root [J]. J Amer Statist Assoc, 1979,74 : 427-431.
  • 10DICKEY D A, FULLER W A. Likelihood ratio staffs tics for autoregressive time series with a unit root[J]. Econometrica, 1981,49 : 1057-1072.

引证文献4

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部