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Time‐Transformed Unit Root Tests for Models with Non‐Stationary Volatility

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  • Giuseppe Cavaliere
  • A. M. Robert Taylor

Abstract

. Conventional unit root tests are known to be unreliable in the presence of permanent volatility shifts. In this paper, we propose a new approach to unit root testing which is valid in the presence of a quite general class of permanent variance changes which includes single and multiple (abrupt and smooth transition) volatility change processes as special cases. The new tests are based on a time transformation of the series of interest which automatically corrects their form for the presence of non‐stationary volatility without the need to specify any parametric model for the volatility process. Despite their generality, the new tests perform well even in small samples. We also propose a class of tests for the null hypothesis of stationary volatility in (near‐) integrated time‐series processes.

Suggested Citation

  • Giuseppe Cavaliere & A. M. Robert Taylor, 2008. "Time‐Transformed Unit Root Tests for Models with Non‐Stationary Volatility," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(2), pages 300-330, March.
    • Handle: RePEc:bla:jtsera:v:29:y:2008:i:2:p:300-330
    DOI: 10.1111/j.1467-9892.2007.00557.x
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    1. D van Dijk & D R Osborn & M Sensier, 2002. "Changes in variability of the business cycle in the G7 countries," Economics Discussion Paper Series 0204, Economics, The University of Manchester.
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