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Cryptocurrencies as Gamblified Financial Assets and Cryptocasinos: Novel Risks for a Public Health Approach to Gambling

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Listed:
  • Maira Andrade

    (School of Psychology, University of East London, London E16 2RD, UK)

  • Philip W. S. Newall

    (School of Psychological Science, University of Bristol, Bristol BS8 1TU, UK)

Abstract

Policymakers’ attempts to prevent gambling-related harm are affected by the ‘gamblification’ of, for example, video games and investing. This review highlights related issues posed by cryptocurrencies, which are decentralised and volatile digital assets, and which underlie ‘cryptocasinos’—a new generation of online gambling operators. Cryptocurrencies can be traded around the clock and provide the allure of big potential lottery-like wins. Frequent cryptocurrency traders often suffer from gambling-related harm, which suggests that many users are taking on substantial risks. Further, the lack of regulation around cryptocurrencies and social media echo chambers increases users’ risk of being scammed. In comparison to the conventional regulated online gambling sector, cryptocasinos pose novel risks for existing online gamblers, and can also make online gambling accessible to the underage, the self-excluded, and those living in jurisdictions where online gambling is illegal. Researchers and policymakers should continue to monitor developments in this fast-moving space.

Suggested Citation

  • Maira Andrade & Philip W. S. Newall, 2023. "Cryptocurrencies as Gamblified Financial Assets and Cryptocasinos: Novel Risks for a Public Health Approach to Gambling," Risks, MDPI, vol. 11(3), pages 1-14, February.
    • Handle: RePEc:gam:jrisks:v:11:y:2023:i:3:p:49-:d:1077135
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    References listed on IDEAS

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    1. Daniel Fernandes & John G. Lynch & Richard G. Netemeyer, 2014. "Financial Literacy, Financial Education, and Downstream Financial Behaviors," Management Science, INFORMS, vol. 60(8), pages 1861-1883, August.
    2. Hasso, Tim & Pelster, Matthias & Breitmayer, Bastian, 2019. "Who trades cryptocurrencies, how do they trade it, and how do they perform? Evidence from brokerage accounts," Journal of Behavioral and Experimental Finance, Elsevier, vol. 23(C), pages 64-74.
    3. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    4. Gandal, Neil & Hamrick, JT & Moore, Tyler & Oberman, Tali, 2018. "Price manipulation in the Bitcoin ecosystem," Journal of Monetary Economics, Elsevier, vol. 95(C), pages 86-96.
    5. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & David Martinez-Rego & Fan Wu & Lingbo Li, 2022. "Cryptocurrency trading: a comprehensive survey," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-59, December.
    6. Dowling, Michael, 2022. "Is non-fungible token pricing driven by cryptocurrencies?," Finance Research Letters, Elsevier, vol. 44(C).
    7. repec:bla:jfinan:v:59:y:2004:i:1:p:137-163 is not listed on IDEAS
    8. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & Lingbo Li & David Martinez-Regoband & Fan Wu, 2020. "Cryptocurrency Trading: A Comprehensive Survey," Papers 2003.11352, arXiv.org, revised Jan 2022.
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    Cited by:

    1. Chagas, B.T. & Jesus, D. & Palma-dos-Reis, A., 2024. "Blockchain's value proposition for online gambling: The operators' perspective," Technological Forecasting and Social Change, Elsevier, vol. 200(C).

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