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Statistical Tests for Lyapunov Exponents of Deterministic Systems

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Author Info
Rodney Wolff (Queensland University of Technology)
Qiwei Yao (The London School of Economics and Political Science, United Kingdom)
Howell Tong (The London School of Economics, United Kingdom and Hong Kong University, Hong Kong)
Abstract

In order to develop statistical tests for the Lyapunov exponents of deterministic dynamical systems, we develop bootstrap tests based on empirical likelihood for percentiles and expectiles of strictly stationary processes. The percentiles and expectiles are estimated in terms of asymmetric least deviations and asymmetric least squares methods. Asymptotic distributional properties of the estimators are established.

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Publisher Info
Article provided by Berkeley Electronic Press in its journal Studies in Nonlinear Dynamics & Econometrics.

Volume (Year): 8 (2004)
Issue (Month): 2 ()
Pages: 1214-1214
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Handle: RePEc:bep:sndecm:8:2004:2:1214-1214

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Related research
Keywords: Bootstrap chaos empirical likelihood expectile percentile

References listed on IDEAS
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  1. Newey, Whitney K & Powell, James L, 1987. "Asymmetric Least Squares Estimation and Testing," Econometrica, Econometric Society, vol. 55(4), pages 819-47, July. [Downloadable!] (restricted)
  2. Oliver Linton & Mototsugu Shintani, 2003. "Nonparametric Neural Network Estimation of Lyapunov Exponents and a Direct Test for Chaos," STICERD - Econometrics Paper Series /2003/455, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE. [Downloadable!]
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  3. P. Hall & B. Presnell, 1999. "Intentionally biased bootstrap methods," Journal Of The Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 143-158. [Downloadable!] (restricted)
  4. Whang, Yoon-Jae & Linton, Oliver, 1999. "The asymptotic distribution of nonparametric estimates of the Lyapunov exponent for stochastic time series," Journal of Econometrics, Elsevier, vol. 91(1), pages 1-42, July. [Downloadable!] (restricted)
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This page was last updated on 2008-11-19.


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