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The Characteristics and Portfolio Behavior of Bitcoin Investors: Evidence from Indirect Cryptocurrency Investments
[The investor in structured retail products: advice driven or gambling oriented]

Author

Listed:
  • Andreas Hackethal
  • Tobin Hanspal
  • Dominique M Lammer
  • Kevin Rink

Abstract

Cryptocurrencies have received growing attention from individuals, the media, and regulators. However, little is known about the investors whom these financial instruments attract. Using administrative data, we describe the investment behavior of individuals who invest in cryptocurrencies with structured retail products. We find that cryptocurrency investors are active traders who are prone to investment biases and hold risky portfolios. Cryptocurrency investors are more likely to invest in stocks with high media sentiment and more likely to employ heuristics from technical analysis. In line with attention effects and anticipatory utility, we find that the average cryptocurrency investor substantially increases account logins and trading activity after his or her first cryptocurrency purchase. Furthermore, cryptocurrency investors tend to tilt their portfolios toward even more risky securities after cryptocurrency adoption. Our results document which investors are more likely to adopt new financial products and help inform regulators about investors’ vulnerability to cryptocurrency investments.

Suggested Citation

  • Andreas Hackethal & Tobin Hanspal & Dominique M Lammer & Kevin Rink, 2022. "The Characteristics and Portfolio Behavior of Bitcoin Investors: Evidence from Indirect Cryptocurrency Investments [The investor in structured retail products: advice driven or gambling oriented]," Review of Finance, European Finance Association, vol. 26(4), pages 855-898.
    • Handle: RePEc:oup:revfin:v:26:y:2022:i:4:p:855-898.
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    References listed on IDEAS

    as
    1. Bajgrowicz, Pierre & Scaillet, Olivier, 2012. "Technical trading revisited: False discoveries, persistence tests, and transaction costs," Journal of Financial Economics, Elsevier, vol. 106(3), pages 473-491.
    2. Döbeli, Barbara & Vanini, Paolo, 2010. "Stated and revealed investment decisions concerning retail structured products," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1400-1411, June.
    3. Markku Kaustia & Samuli Knüpfer, 2008. "Do Investors Overweight Personal Experience? Evidence from IPO Subscriptions," Journal of Finance, American Finance Association, vol. 63(6), pages 2679-2702, December.
    4. Daniel Dorn & Gur Huberman & Paul Sengmueller, 2008. "Correlated Trading and Returns," Journal of Finance, American Finance Association, vol. 63(2), pages 885-920, April.
    5. Goetzmann, William N. & Massa, Massimo, 2002. "Daily Momentum and Contrarian Behavior of Index Fund Investors," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(3), pages 375-389, September.
    6. Marie Briere & Kim Oosterlinck & Ariane Szafarz, 2015. "Virtual Currency, Tangible Return: Portfolio Diversification with Bitcoins," Post-Print CEB, ULB -- Universite Libre de Bruxelles, vol. 16(6), pages 365-373.
    7. Ang, Andrew & Hodrick, Robert J. & Xing, Yuhang & Zhang, Xiaoyan, 2009. "High idiosyncratic volatility and low returns: International and further U.S. evidence," Journal of Financial Economics, Elsevier, vol. 91(1), pages 1-23, January.
    8. Travis Sapp & Ashish Tiwari, 2004. "Does Stock Return Momentum Explain the "Smart Money" Effect?," Journal of Finance, American Finance Association, vol. 59(6), pages 2605-2622, December.
    9. Corbet, Shaen & Lucey, Brian & Yarovaya, Larisa, 2018. "Datestamping the Bitcoin and Ethereum bubbles," Finance Research Letters, Elsevier, vol. 26(C), pages 81-88.
    10. John M. Griffin & Amin Shams, 2020. "Is Bitcoin Really Untethered?," Journal of Finance, American Finance Association, vol. 75(4), pages 1913-1964, August.
    11. Andrew D. Foster & Mark R. Rosenzweig, 2010. "Microeconomics of Technology Adoption," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 395-424, September.
    12. Urquhart, Andrew, 2018. "What causes the attention of Bitcoin?," Economics Letters, Elsevier, vol. 166(C), pages 40-44.
    13. Matteo Benetton & Giovanni Compiani, 2020. "Investors’ Beliefs and Asset Prices: A Structural Model of Cryptocurrency Demand," Working Papers 2020-107, Becker Friedman Institute for Research In Economics.
    14. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    15. Erik R. Sirri & Peter Tufano, 1998. "Costly Search and Mutual Fund Flows," Journal of Finance, American Finance Association, vol. 53(5), pages 1589-1622, October.
    16. Christian Leuz & Steffen Meyer & Maximilian Muhn & Eugene Soltes & Andreas Hackethal, 2017. "Who Falls Prey to the Wolf of Wall Street? Investor Participation in Market Manipulation," NBER Working Papers 24083, National Bureau of Economic Research, Inc.
    17. Brad M. Barber & Terrance Odean, 2000. "Trading Is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors," Journal of Finance, American Finance Association, vol. 55(2), pages 773-806, April.
    18. 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.
    19. Itzhak Ben-David & Francesco A. Franzoni & Byungwook Kim & Rabih Moussawi, 2021. "Competition for Attention in the ETF Space," Swiss Finance Institute Research Paper Series 21-03, Swiss Finance Institute.
    20. Leonardo Bursztyn & Florian Ederer & Bruno Ferman & Noam Yuchtman, 2014. "Understanding Mechanisms Underlying Peer Effects: Evidence From a Field Experiment on Financial Decisions," Econometrica, Econometric Society, vol. 82(4), pages 1273-1301, July.
    21. Aaron Yelowitz & Matthew Wilson, 2015. "Characteristics of Bitcoin users: an analysis of Google search data," Applied Economics Letters, Taylor & Francis Journals, vol. 22(13), pages 1030-1036, September.
    22. Kraaijeveld, Olivier & De Smedt, Johannes, 2020. "The predictive power of public Twitter sentiment for forecasting cryptocurrency prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    23. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    24. Grobys, Klaus & Ahmed, Shaker & Sapkota, Niranjan, 2020. "Technical trading rules in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 32(C).
    25. Bouri, Elie & Molnár, Peter & Azzi, Georges & Roubaud, David & Hagfors, Lars Ivar, 2017. "On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?," Finance Research Letters, Elsevier, vol. 20(C), pages 192-198.
    26. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    27. Ulrike Malmendier & Stefan Nagel, 2011. "Depression Babies: Do Macroeconomic Experiences Affect Risk Taking?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 373-416.
    28. Cheah, Eng-Tuck & Fry, John, 2015. "Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin," Economics Letters, Elsevier, vol. 130(C), pages 32-36.
    29. 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.
    30. King, Gary & Zeng, Langche, 2001. "Logistic Regression in Rare Events Data," Political Analysis, Cambridge University Press, vol. 9(2), pages 137-163, January.
    31. Utpal Bhattacharya & Andreas Hackethal & Simon Kaesler & Benjamin Loos & Steffen Meyer, 2012. "Is Unbiased Financial Advice to Retail Investors Sufficient? Answers from a Large Field Study," Review of Financial Studies, Society for Financial Studies, vol. 25(4), pages 975-1032.
    32. Abreu, Margarida & Mendes, Victor, 2018. "The investor in structured retail products: Advice driven or gambling oriented?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 17(C), pages 1-9.
    33. Beat Weber, 2016. "Bitcoin and the legitimacy crisis of money," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 40(1), pages 17-41.
    34. Andersen, Steffen & Hanspal, Tobin & Nielsen, Kasper Meisner, 2019. "Once bitten, twice shy: The power of personal experiences in risk taking," Journal of Financial Economics, Elsevier, vol. 132(3), pages 97-117.
    35. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    36. Kunz, Alexis H. & Messner, Claude & Wallmeier, Martin, 2017. "Investors’ risk perceptions of structured financial products with worst-of payout characteristics," Journal of Behavioral and Experimental Finance, Elsevier, vol. 15(C), pages 66-73.
    37. Vytautas Karalevicius & Niels Degrande & Jochen De Weerdt, 2018. "Using sentiment analysis to predict interday Bitcoin price movements," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 19(1), pages 56-75, December.
    38. C. Baek & M. Elbeck, 2015. "Bitcoins as an investment or speculative vehicle? A first look," Applied Economics Letters, Taylor & Francis Journals, vol. 22(1), pages 30-34, January.
    39. Todd Mitton & Keith Vorkink, 2007. "Equilibrium Underdiversification and the Preference for Skewness," Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1255-1288.
    40. Daniel Dorn & Paul Sengmueller, 2009. "Trading as Entertainment?," Management Science, INFORMS, vol. 55(4), pages 591-603, April.
    41. Alok Kumar, 2009. "Who Gambles in the Stock Market?," Journal of Finance, American Finance Association, vol. 64(4), pages 1889-1933, August.
    42. Dyhrberg, Anne Haubo, 2016. "Hedging capabilities of bitcoin. Is it the virtual gold?," Finance Research Letters, Elsevier, vol. 16(C), pages 139-144.
    43. Corbet, Shaen & Eraslan, Veysel & Lucey, Brian & Sensoy, Ahmet, 2019. "The effectiveness of technical trading rules in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 31(C), pages 32-37.
    44. Liao, Rose & Wang, Xinjie & Wu, Ge, 2021. "The role of media in mergers and acquisitions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    45. Yukun Liu & Aleh Tsyvinski, 2021. "Risks and Returns of Cryptocurrency," Review of Financial Studies, Society for Financial Studies, vol. 34(6), pages 2689-2727.
    46. 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.
    47. Shi, Yanlin & Liu, Wai-Man & Ho, Kin-Yip, 2016. "Public news arrival and the idiosyncratic volatility puzzle," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 159-172.
    48. Botond Koszegi & Matthew Rabin, 2009. "Reference-Dependent Consumption Plans," American Economic Review, American Economic Association, vol. 99(3), pages 909-936, June.
    49. Alok Kumar & Ravi Dhar, 2001. "A Non-Random Walk Down the Main Street: Impact of Price Trends on Trading Decisions of Individual Investors," Yale School of Management Working Papers ysm208, Yale School of Management.
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    Cited by:

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    2. Colombo, Jéfferson Augusto & Yarovaya, Larisa, 2024. "Are crypto and non-crypto investors alike? Evidence from a comprehensive survey in Brazil," Textos para discussão 568, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    3. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2023. "Predictability of crypto returns: The impact of trading behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    4. Kevin Rink, 2023. "The predictive ability of technical trading rules: an empirical analysis of developed and emerging equity markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(4), pages 403-456, December.
    5. Wang, Jying-Nan & Liu, Hung-Chun & Lee, Yen-Hsien & Hsu, Yuan-Teng, 2023. "FoMO in the Bitcoin market: Revisiting and factors," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 244-253.

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    More about this item

    Keywords

    Bitcoin; cryptocurrencies; structured retail products; retail investors; household finance; investor behavior;
    All these keywords.

    JEL classification:

    • G50 - Financial Economics - - Household Finance - - - General
    • G40 - Financial Economics - - Behavioral Finance - - - General
    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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