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Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions

Author

Listed:
  • Elie Bouri

    (USEK - Université Saint-Esprit de Kaslik)

  • Rangan Gupta

    (University of Pretoria [South Africa])

  • Aviral Kumar Tiwari

    (MRM - Montpellier Research in Management - UM1 - Université Montpellier 1 - UM3 - Université Paul-Valéry - Montpellier 3 - UM2 - Université Montpellier 2 - Sciences et Techniques - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier)

  • David Roubaud

    (MRM - Montpellier Research in Management - UM1 - Université Montpellier 1 - UM3 - Université Paul-Valéry - Montpellier 3 - UM2 - Université Montpellier 2 - Sciences et Techniques - UPVD - Université de Perpignan Via Domitia - Groupe Sup de Co Montpellier (GSCM) - Montpellier Business School - UM - Université de Montpellier)

Abstract

We examine whether Bitcoin can hedge global uncertainty, measured by the first principal component of the VIXs of 14 developed and developing equity markets. After decomposing Bitcoin returns into various frequencies, i.e., investment horizons, and given evidence of heavy-tails, we employ quantile regression. We reveal that Bitcoin does act as a hedge against uncertainty: it reacts positively to uncertainty at both higher quantiles and shorter frequency movements of Bitcoin returns. Further, we use quantile-on-quantile regression and identify that hedging is observed at shorter investment horizons, and at both lower and upper ends of Bitcoin returns and global uncertainty.

Suggested Citation

  • Elie Bouri & Rangan Gupta & Aviral Kumar Tiwari & David Roubaud, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Post-Print hal-02008552, HAL.
  • Handle: RePEc:hal:journl:hal-02008552
    Note: View the original document on HAL open archive server: https://hal.umontpellier.fr/hal-02008552
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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Wavelet; Bitcoin; Global uncertainty; Quantile regressions;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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