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Was the 2017 Crash of the Crypto-currency Market Predictable?

Author

Listed:
  • Élise Alfieri

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

  • Radu Burlacu

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

  • Geoffroy Enjolras

    (CERAG - Centre d'études et de recherches appliquées à la gestion - UGA [2016-2019] - Université Grenoble Alpes [2016-2019])

Abstract

The cyber-space of crypto-currency market is a main issue in terms of security and stability. The novelty and the high volatility of crypto-currencies question their speculative nature. Recently, the crypto-currency price exponentially increased and reached an important burst in the end of 2017. The objective of this article is to detect and test the prediction of this crypto-currency market crash using the Log-Periodic Power Law model (LPPL). We consider 2 main crypto-currencies, Bitcoin and Ether. We find that the LPPL model allows to estimate the date of the crash in the crypto-currency market depending on the window sensitivity.

Suggested Citation

  • Élise Alfieri & Radu Burlacu & Geoffroy Enjolras, 2019. "Was the 2017 Crash of the Crypto-currency Market Predictable?," Post-Print hal-02952123, HAL.
    • Handle: RePEc:hal:journl:hal-02952123
    Note: View the original document on HAL open archive server: https://hal.science/hal-02952123
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    References listed on IDEAS

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    More about this item

    Keywords

    Crypto-Currencies; Bitcoin; Bubble; LPPL; Speculation;
    All these keywords.

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