Journal of Shanghai University(Natural Science Edition) ›› 2011, Vol. 17 ›› Issue (6): 740-745.

• Mathematics.Physics and Chemistry • Previous Articles     Next Articles

Nonparametric Statistical Analysis of Structural Change Point in Volatility Models for Dependent Time Series

  

  1. (College of Sciences, Shanghai University, Shanghai 200444, China)
  • Received:2010-05-19 Online:2011-12-28 Published:2011-12-28

Abstract: Based on a stationary β-mixed process, this paper proposes a method for nonparametric estimation of structural change point in volatility models with unknown regression and conditional variance functions. Asymptotic normality of test statistic is proven, and a corresponding test method presented. Effectiveness of the method is shown with simulations.

Key words: β-mixed process, asymptotic normality, change point in volatility, locally linear estimation, nonparametric heteroscedastic model

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