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Testing for causality in variance in the presence of breaks

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  • van Dijk, D.J.C.
  • Osborn, D.R.
  • Sensier, M.

Abstract

We examine the size properties of tests for causality in variance in the presence of structural breaks in volatility. Extensive Monte Carlo simulations demonstrate that these tests suffer from severe size distortions when such breaks are not taken into account. Pre-testing the series for structural changes in volatility is shown to largely remedy the problem.

Suggested Citation

  • van Dijk, D.J.C. & Osborn, D.R. & Sensier, M., 2004. "Testing for causality in variance in the presence of breaks," Econometric Institute Research Papers EI 2004-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  • Handle: RePEc:ems:eureir:1801
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    causality tests; structural change; volatitilty;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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