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How do warnings affect retail demand for Bitcoin? Evidence from an international survey experiment

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  • Ebers, Axel
  • Thomsen, Stephan L.

Abstract

Bitcoin is associated with different risks. We conduct an information experiment in the four largest European economies to analyze the effects of specific warnings and information on retail investors’ demand for Bitcoin. Our results indicate that the impact is strongest when warnings point to privacy issues. Information on the lack of guarantees or on CO2 emissions only affects particular subgroups. Knowledge of broad public acceptance increases overall demand. Warnings can therefore effectively prevent extreme market events while avoiding the costs of stricter regulation. Effect heterogeneity implies that regulators should use specific information and different communication channels to reach relevant investors.

Suggested Citation

  • Ebers, Axel & Thomsen, Stephan L., 2021. "How do warnings affect retail demand for Bitcoin? Evidence from an international survey experiment," Hannover Economic Papers (HEP) dp-683, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    • Handle: RePEc:han:dpaper:dp-683
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    1. da Gama Silva, Paulo Vitor Jordão & Klotzle, Marcelo Cabus & Pinto, Antonio Carlos Figueiredo & Gomes, Leonardo Lima, 2019. "Herding behavior and contagion in the cryptocurrency market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 41-50.
    2. Annette Alstadsæter & Niels Johannesen & Gabriel Zucman, 2019. "Tax Evasion and Inequality," American Economic Review, American Economic Association, vol. 109(6), pages 2073-2103, June.
    3. Sheth, Jagdish, 2020. "Impact of Covid-19 on consumer behavior: Will the old habits return or die?," Journal of Business Research, Elsevier, vol. 117(C), pages 280-283.
    4. Altman, Morris, 2012. "Behavioural economics perspectives: Implications for policy and financial literacy," Working Paper Series 2195, Victoria University of Wellington, School of Economics and Finance.
    5. Manaa, Mehdi & Chimienti, Maria Teresa & Adachi, Mitsutoshi & Athanassiou, Phoebus & Balteanu, Irina & Calza, Alessandro & Devaney, Conall & Diaz Fernandez, Ester & Eser, Fabian & Ganoulis, Ioannis & , 2019. "Crypto-Assets: Implications for financial stability, monetary policy, and payments and market infrastructures," Occasional Paper Series 223, European Central Bank.
    6. Jay J. Van Bavel & Katherine Baicker & Paulo S. Boggio & Valerio Capraro & Aleksandra Cichocka & Mina Cikara & Molly J. Crockett & Alia J. Crum & Karen M. Douglas & James N. Druckman & John Drury & Oe, 2020. "Using social and behavioural science to support COVID-19 pandemic response," Nature Human Behaviour, Nature, vol. 4(5), pages 460-471, May.
    7. Georgios A. Panos & Tatja Karkkainen & Adele Atkinson, 2020. "Financial Literacy and Attitudes to Cryptocurrencies," Working Papers 2020_26, Business School - Economics, University of Glasgow.
    8. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, January.
    9. Elie Bouri & Mahamitra Das & Rangan Gupta & David Roubaud, 2018. "Spillovers between Bitcoin and other assets during bear and bull markets," Applied Economics, Taylor & Francis Journals, vol. 50(55), pages 5935-5949, November.
    10. June Ma & Joshua S. Gans & Rabee Tourky, 2018. "Market Structure in Bitcoin Mining," NBER Working Papers 24242, National Bureau of Economic Research, Inc.
    11. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    12. Nader Trabelsi, 2018. "Are There Any Volatility Spill-Over Effects among Cryptocurrencies and Widely Traded Asset Classes?," JRFM, MDPI, vol. 11(4), pages 1-17, October.
    13. Camilo Mora & Randi L. Rollins & Katie Taladay & Michael B. Kantar & Mason K. Chock & Mio Shimada & Erik C. Franklin, 2018. "Bitcoin emissions alone could push global warming above 2°C," Nature Climate Change, Nature, vol. 8(11), pages 931-933, November.
    14. Sean Foley & Jonathan R Karlsen & Tālis J Putniņš, 2019. "Sex, Drugs, and Bitcoin: How Much Illegal Activity Is Financed through Cryptocurrencies?," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1798-1853.
    15. Scharfstein, David S & Stein, Jeremy C, 1990. "Herd Behavior and Investment," American Economic Review, American Economic Association, vol. 80(3), pages 465-479, June.
    16. Hsiang-Lin Chih & Hsiang-Hsuan Chih & Tzu-Yin Chen, 2010. "On the Determinants of Corporate Social Responsibility: International Evidence on the Financial Industry," Journal of Business Ethics, Springer, vol. 93(1), pages 115-135, April.
    17. Chiang, Thomas C. & Zheng, Dazhi, 2010. "An empirical analysis of herd behavior in global stock markets," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1911-1921, August.
    18. Charles F. Manski, 2004. "Measuring Expectations," Econometrica, Econometric Society, vol. 72(5), pages 1329-1376, September.
    19. Ecopa Case, 2019. "Estimating International Tax Evasion by Individuals," Taxation Papers 76, Directorate General Taxation and Customs Union, European Commission.
    20. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    21. Jentzsch, Nicola, 2016. "State-of-the-Art of the Economics of Cyber-Security and Privacy," EconStor Research Reports 126223, ZBW - Leibniz Information Centre for Economics.
    22. Rainer Böhme & Nicolas Christin & Benjamin Edelman & Tyler Moore, 2015. "Bitcoin: Economics, Technology, and Governance," Journal of Economic Perspectives, American Economic Association, vol. 29(2), pages 213-238, Spring.
    23. Bindseil, Ulrich, 2020. "Tiered CBDC and the financial system," Working Paper Series 2351, European Central Bank.
    24. Altman, Morris, 2012. "Implications of behavioural economics for financial literacy and public policy," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(5), pages 677-690.
    25. Raphael Auer & Giulio Cornelli & Jon Frost, 2020. "Covid-19, cash, and the future of payments," BIS Bulletins 3, Bank for International Settlements.
    26. Baur, Dirk G. & Hong, KiHoon & Lee, Adrian D., 2018. "Bitcoin: Medium of exchange or speculative assets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 54(C), pages 177-189.
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    More about this item

    Keywords

    survey experiment; warnings; Bitcoin; retail demand; regulation; cultural differences;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G40 - Financial Economics - - Behavioral Finance - - - General

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