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Rational versus Irrational Behavior of Indonesian Cryptocurrency Owners in Making Investment Decision

Author

Listed:
  • Elisa Tjondro

    (Department of Accounting, School of Business and Management, Petra Christian University, Siwalankerto 121-131, Surabaya 60236, Indonesia)

  • Saarce Elsye Hatane

    (Department of Accounting, School of Business and Management, Petra Christian University, Siwalankerto 121-131, Surabaya 60236, Indonesia)

  • Retnaningtyas Widuri

    (Department of Accounting, School of Business and Management, Petra Christian University, Siwalankerto 121-131, Surabaya 60236, Indonesia)

  • Josua Tarigan

    (Department of Accounting, School of Business and Management, Petra Christian University, Siwalankerto 121-131, Surabaya 60236, Indonesia)

Abstract

The purpose of this study is to investigate the salient factors that influence Indonesian cryptocurrency owners in making their investment decision. This study employs intergroup bias, subjective norms, overborrowing, and spending control to explain cryptocurrency investment behavior. The questionnaire was collected from 309 respondents from the five largest internet user areas: Jakarta, Surabaya, Bandung, Semarang, and Medan. This study executes the research framework using binary logistic regression. The results reveal that intergroup bias and overborrowing are the most impulsive factors contributing to the cryptocurrency investment decisions over the past year. Furthermore, after November 2021, Indonesian crypto owners are more irrational in a bearish period since their investment decisions are driven by their desire to be accepted in the social group. Moreover, when they have overindebtedness, instead of solving their debt problems, they prefer to spend their money on cryptocurrency investments. The subjective norms’ influencers suggest that crypto owners not invest when the cryptocurrency price is sharply declining. The findings contribute to the dual-systems perspective and social contagion theories, enriching the empirical study regarding investment behavior.

Suggested Citation

  • Elisa Tjondro & Saarce Elsye Hatane & Retnaningtyas Widuri & Josua Tarigan, 2023. "Rational versus Irrational Behavior of Indonesian Cryptocurrency Owners in Making Investment Decision," Risks, MDPI, vol. 11(1), pages 1-18, January.
    • Handle: RePEc:gam:jrisks:v:11:y:2023:i:1:p:17-:d:1031866
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    References listed on IDEAS

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    1. Gathergood, John, 2012. "Self-control, financial literacy and consumer over-indebtedness," Journal of Economic Psychology, Elsevier, vol. 33(3), pages 590-602.
    2. Yuriy Gorodnichenko & Gerard Roland, 2017. "Culture, Institutions, and the Wealth of Nations," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 402-416, July.
    3. Bakker, L. & Hare, W. & Khosravi, H. & Ramadanovic, B., 2010. "A social network model of investment behaviour in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(6), pages 1223-1229.
    4. Fujiki, Hiroshi, 2020. "Who adopts crypto assets in Japan? Evidence from the 2019 financial literacy survey," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    5. Hiroshi Fujiki, 2021. "Crypto asset ownership, financial literacy, and investment experience," Applied Economics, Taylor & Francis Journals, vol. 53(39), pages 4560-4581, August.
    6. Friehe, Tim & Schildberg-Hörisch, Hannah, 2017. "Self-control and crime revisited: Disentangling the effect of self-control on risk taking and antisocial behavior," International Review of Law and Economics, Elsevier, vol. 49(C), pages 23-32.
    7. Chan, Kenneth S. & Lai, Jennifer Te & Li, Tingting, 2022. "Cultural values, genes and savings behavior in China," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 134-146.
    8. Blau, Benjamin M., 2018. "Price dynamics and speculative trading in Bitcoin," Research in International Business and Finance, Elsevier, vol. 43(C), pages 15-21.
    9. Neuner, Michael & Raab, Gerhard & Reisch, Lucia A., 2005. "Compulsive buying in maturing consumer societies: An empirical re-inquiry," Journal of Economic Psychology, Elsevier, vol. 26(4), pages 509-522, August.
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