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Bootstrap LR Tests for Sign and Amplitude Asymmetries

Author

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  • Jerry Coakley; Ana-Maria Fuertes

Abstract

Using threshold autoregressive specifications, this paper develops new parametric tests for level asymmetries. It proposes bootstrap likelihood ratio statistics to test the symmetric adjustment null against sign and amplitude asymmetries or a combination of both. Monte Carlo simulations show that the proposed tests have good size properties and reasonable power for n>=300. An application to three US dollar nominal exchange rates, 1973:2-2000:2, shows pervasive evidence of amplitude asymmetry.\t

Suggested Citation

  • Jerry Coakley; Ana-Maria Fuertes, 2001. "Bootstrap LR Tests for Sign and Amplitude Asymmetries," Computing in Economics and Finance 2001 262, Society for Computational Economics.
    • Handle: RePEc:sce:scecf1:262
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    Cited by:

    1. George Kapetanios, 2003. "Using Extraneous Information and GMM to Estimate Threshold Parameters in TAR Models," Working Papers 494, Queen Mary University of London, School of Economics and Finance.
    2. George Kapetanios, 2004. "Testing for Exogeneity in Nonlinear Threshold Models," Working Papers 515, Queen Mary University of London, School of Economics and Finance.

    More about this item

    Keywords

    Threshold autoregression; Monte Carlo; Exchange rates.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection

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