Bootstrap Unit Root Tests for Heavy-Tailed Time Series

  • Piotr Kokoszka
  • Andrejus Parfionovas


We explore the applicability of bootstrap unit root tests to time series with heavy-tailed errors. The size and power of the tests are investigated using simulated data. Applications to financial time series are also presented. Two different bootstrap methods and the subsampling approach are compared. Conclusions on the optimal bootstrap parameters, the range of applicability, and the performance of the tests are presented.


Unit Root Unit Root Test Null Distribution Yield Curve Bootstrap Test 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2004

Authors and Affiliations

  • Piotr Kokoszka
    • 1
  • Andrejus Parfionovas
    • 1
  1. 1.Mathematics and StatisticsUtah State UniversityLogan, UtahUSA

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