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Testing for explosive bubbles in the presence of non-Gaussian conditions

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  • Feng, Hao

Abstract

This paper considers the problem of testing explosive bubbles under non-Gaussian conditions, which are quite common in financial data. Based on the generalized sup augmented Dickey-Fuller (GSADF) initiated by Phillips et al. (2015a), we propose a quantile-based version named QGSADF. The asymptotic distribution of the proposed test is derived and the simulations show that the new test obtains significant power gains under the premise of controlling size distortion under non-Gaussian conditions. The application to commodity futures prices suggests that QGSADF provides stronger evidential support for bubble behavior than the GSADF test.

Suggested Citation

  • Feng, Hao, 2023. "Testing for explosive bubbles in the presence of non-Gaussian conditions," Economics Letters, Elsevier, vol. 233(C).
  • Handle: RePEc:eee:ecolet:v:233:y:2023:i:c:s0165176523004172
    DOI: 10.1016/j.econlet.2023.111391
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    Cited by:

    1. Nicolas Cofre & Magdalena Mosionek-Schweda, 2023. "A simulated electronic market with speculative behaviour and bubble formation," Papers 2311.12247, arXiv.org.

    More about this item

    Keywords

    Explosive bubble; Quantile regression; Non-Gaussian conditions; Commodity futures;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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