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What Determines Bitcoin’s Value?

Author

Listed:
  • Jamal Bouoiyour

    (CATT - Centre d'Analyse Théorique et de Traitement des données économiques - UPPA - Université de Pau et des Pays de l'Adour)

  • Refk Selmi

    (CATT - Centre d'Analyse Théorique et de Traitement des données économiques - UPPA - Université de Pau et des Pays de l'Adour)

  • Aviral Kumar Tiwari

    (ICFAI University Tripura - ICFAI University Tripura)

  • Olaolu Richard Olayeni

Abstract

Despite its great popularity and gradual worldwide acceptance, most people are still confused as to what a Bitcoin actually is. This paper tries to reach clearer knowledge about what determines the Bitcoin's value. . Due to the intrinsic complexity of crypto market, standard approaches often fail to capture the non-stationary and nonlinear properties and properly depict the moving tendencies. This problem can be solved by an objective data analysis method, i.e. Empirical Mode Decomposition. By decomposing Bitcoin price into intrinsic modes based on scale separation, we will be able to explain its generation from a novel perspective. Specifically, the intrinsic modes are composed into a fluctuating process, a slowly varying part and a trend. By doing so, the short-term fluctuations appear the major contributor of this new crypto-currency, without overlooking the power of long term trend. The first outcome suggests that Bitcoin is backed up by nothing other than the expectation of people' willingness to accept it and thus displays characteristics of purely speculative bubble. The second one implies that if traders appreciate risky investments, a trend can be identified and serious disappointments may await the unwary Bitcoiners.

Suggested Citation

  • Jamal Bouoiyour & Refk Selmi & Aviral Kumar Tiwari & Olaolu Richard Olayeni, 2015. "What Determines Bitcoin’s Value?," Working papers of CATT hal-01880330, HAL.
    • Handle: RePEc:hal:wpcatt:hal-01880330
    Note: View the original document on HAL open archive server: https://univ-pau.hal.science/hal-01880330v1
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    References listed on IDEAS

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    1. Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016. "The economics of BitCoin price formation," Applied Economics, Taylor & Francis Journals, vol. 48(19), pages 1799-1815, April.
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    3. Bangzhu Zhu & Ping Wang & Julien Chevallier & Yiming Wei, 2015. "Carbon Price Analysis Using Empirical Mode Decomposition," Computational Economics, Springer;Society for Computational Economics, vol. 45(2), pages 195-206, February.
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