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Limit Theory for Moderate Deviation from Integrated GARCH Processes

Statistics Theory 2021-07-22 v3 Econometrics Statistics Theory

Abstract

This paper develops the limit theory of the GARCH(1,1) process that moderately deviates from IGARCH process towards both stationary and explosive regimes. The GARCH(1,1) process is defined by equations ut=σtεtu_t = \sigma_t \varepsilon_t, σt2=ω+αnut12+βnσt12\sigma_t^2 = \omega + \alpha_n u_{t-1}^2 + \beta_n\sigma_{t-1}^2 and αn+βn\alpha_n + \beta_n approaches to unity as sample size goes to infinity. The asymptotic theory developed in this paper extends Berkes et al. (2005) by allowing the parameters to have a slower convergence rate. The results can be applied to unit root test for processes with mildly-integrated GARCH innovations (e.g. Boswijk (2001), Cavaliere and Taylor (2007, 2009)) and deriving limit theory of estimators for models involving mildly-integrated GARCH processes (e.g. Jensen and Rahbek (2004), Francq and Zako\"ian (2012, 2013)).

Keywords

Cite

@article{arxiv.1806.01229,
  title  = {Limit Theory for Moderate Deviation from Integrated GARCH Processes},
  author = {Yubo Tao},
  journal= {arXiv preprint arXiv:1806.01229},
  year   = {2021}
}

Comments

13 pages

R2 v1 2026-06-23T02:18:29.256Z