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Testing for causality in variance in the presence of breaks

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  • D van Dijk
  • D R Osborn
  • M Sensier

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

  • D van Dijk & D R Osborn & M Sensier, 2004. "Testing for causality in variance in the presence of breaks," Centre for Growth and Business Cycle Research Discussion Paper Series 45, Economics, The University of Manchester.
    • Handle: RePEc:man:cgbcrp:45
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    References listed on IDEAS

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    More about this item

    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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