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“All are investing in Crypto, I fear of being missed out”: examining the influence of herding, loss aversion, and overconfidence in the cryptocurrency market with the mediating effect of FOMO

Author

Listed:
  • Manpreet Kaur

    (Sri Aurobindo College of Commerce and Management)

  • Jinesh Jain

    (Sri Aurobindo College of Commerce and Management)

  • Kirti Sood

    (Doon University)

Abstract

The study's purpose is to examine the effect of herding, loss aversion, overconfidence, and fear of missing out (FOMO) biases on crypto investors’ investment decisions. The study also looks at how FOMO plays a mediating role between herding, loss aversion, overconfidence, and crypto investment decisions. To acquire data from crypto retail investors, the study used a questionnaire survey. A total of 473 responses were gathered and analyzed with SmartPLS. To achieve the study's aims, factor analysis and partial least square structural equation modelling were used. The study's findings found that FOMO, herding, loss aversion, and overconfidence biases have a substantial effect on the investment decisions of crypto investors, in respective order. In addition, FOMO bias establishes a complementary partial mediation on the relationship between herding, loss aversion, and crypto investors’ decision-making behavior. Ergo, the present study assisted individual and institutional cryptocurrency investors, crypto portfolio managers, policymakers, researchers, and market regulators in broadening their knowledge base about cryptocurrency and forecasting investors' behavior. Hence, this study contributes to the field of behavioral finance.

Suggested Citation

  • Manpreet Kaur & Jinesh Jain & Kirti Sood, 2024. "“All are investing in Crypto, I fear of being missed out”: examining the influence of herding, loss aversion, and overconfidence in the cryptocurrency market with the mediating effect of FOMO," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(3), pages 2237-2263, June.
  • Handle: RePEc:spr:qualqt:v:58:y:2024:i:3:d:10.1007_s11135-023-01739-z
    DOI: 10.1007/s11135-023-01739-z
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    References listed on IDEAS

    as
    1. Auer, Raphael & Tercero-Lucas, David, 2022. "Distrust or speculation? The socioeconomic drivers of U.S. cryptocurrency investments," Journal of Financial Stability, Elsevier, vol. 62(C).
    2. Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Herding behaviour in cryptocurrencies," Finance Research Letters, Elsevier, vol. 29(C), pages 216-221.
    3. Caferra, Rocco, 2020. "Good vibes only: The crypto-optimistic behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    4. Satish Kumar & Nisha Goyal, 2015. "Behavioural biases in investment decision making – a systematic literature review," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 7(1), pages 88-108, February.
    5. Rubbaniy, Ghulame & Tee, Kienpin & Iren, Perihan & Abdennadher, Sonia, 2022. "Investors’ mood and herd investing: A quantile-on-quantile regression explanation from crypto market," Finance Research Letters, Elsevier, vol. 47(PA).
    6. George M Korniotis & Alok Kumar, 2011. "Do Older Investors Make Better Investment Decisions?," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 244-265, February.
    7. Ballis, Antonis & Drakos, Konstantinos, 2020. "Testing for herding in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 33(C).
    8. Kaiser, Lars & Stöckl, Sebastian, 2020. "Cryptocurrencies: Herding and the transfer currency," Finance Research Letters, Elsevier, vol. 33(C).
    9. Shen, Dehua & Urquhart, Andrew & Wang, Pengfei, 2019. "Does twitter predict Bitcoin?," Economics Letters, Elsevier, vol. 174(C), pages 118-122.
    10. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    11. Thies, Sven & Molnár, Peter, 2018. "Bayesian change point analysis of Bitcoin returns," Finance Research Letters, Elsevier, vol. 27(C), pages 223-227.
    12. Sungho Park & Sachin Gupta, 2012. "Handling Endogenous Regressors by Joint Estimation Using Copulas," Marketing Science, INFORMS, vol. 31(4), pages 567-586, July.
    13. Kirti Sood & Simarjeet Singh, 2022. "Marin Laboure and Nicolas Deffrennes (2022): Democratizing finance – the Radical promises of Fintech," Journal of Evolutionary Economics, Springer, vol. 32(5), pages 1581-1586, November.
    14. Steven Haryanto & Athor Subroto & Maria Ulpah, 2020. "Disposition effect and herding behavior in the cryptocurrency market," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 115-132, March.
    15. Shefrin, Hersh & Statman, Meir, 1985. "The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-790, July.
    16. Jinesh Jain & Nidhi Walia & Manpreet Kaur & Simarjeet Singh, 2021. "Behavioural biases affecting investors’ decision-making process: a scale development approach," Management Research Review, Emerald Group Publishing Limited, vol. 45(8), pages 1079-1098, December.
    17. Sowmya Subramaniam & Madhumita Chakraborty, 2020. "Investor Attention and Cryptocurrency Returns: Evidence from Quantile Causality Approach," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 21(1), pages 103-115, January.
    18. Marko Sarstedt & Christian M Ringle & Jun-Hwa Cheah & Hiram Ting & Ovidiu I Moisescu & Lacramioara Radomir, 2020. "Structural model robustness checks in PLS-SEM," Tourism Economics, , vol. 26(4), pages 531-554, June.
    19. Jinesh Jain & Nidhi Walia & Manpreet Kaur & Simarjeet Singh, 2021. "Behavioural biases affecting investors’ decision-making process: a scale development approach," Management Research Review, Emerald Group Publishing Limited, vol. 45(8), pages 1079-1098, December.
    20. Satish Kumar & Nisha Goyal, 2015. "Behavioural biases in investment decision making – a systematic literature review," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 7(1), pages 88-108, February.
    21. Bonaparte, Yosef, 2022. "Time horizon and cryptocurrency ownership: Is crypto not speculative?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    22. Nebojsa S. Davcik, 2014. "The use and misuse of structural equation modeling in management research," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 11(1), pages 47-81, April.
    23. Hwang, Soosung & Salmon, Mark, 2004. "Market stress and herding," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 585-616, September.
    24. Nebojsa S. Davcik, 2014. "The use and misuse of structural equation modeling in management research," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 11(1), pages 47-81, April.
    25. Gurdgiev, Constantin & O’Loughlin, Daniel, 2020. "Herding and anchoring in cryptocurrency markets: Investor reaction to fear and uncertainty," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    26. Vítor Fonseca & Luís Pacheco & Júlio Lobão, 2019. "Psychological barriers in the cryptocurrency market," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 12(2), pages 151-169, August.
    27. Obryan Poyser, 2018. "Herding behavior in cryptocurrency markets," Papers 1806.11348, arXiv.org, revised Nov 2018.
    28. Markus Glaser & Martin Weber, 2007. "Overconfidence and trading volume," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 32(1), pages 1-36, June.
    29. Baur, Dirk G. & Dimpfl, Thomas, 2018. "Asymmetric volatility in cryptocurrencies," Economics Letters, Elsevier, vol. 173(C), pages 148-151.
    30. 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.
    31. Nebojsa S. Davcik, 2014. "The use and misuse of structural equation modeling in management research," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 11(1), pages 47-81, April.
    32. Shilpi Gupta & Monica Shrivastava, 2021. "Herding and loss aversion in stock markets: mediating role of fear of missing out (FOMO) in retail investors," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 17(7), pages 1720-1737, November.
    33. Dimitrios Koutmos & James E. Payne, 2021. "Intertemporal asset pricing with bitcoin," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 619-645, February.
    34. Steinmetz, Fred & von Meduna, Marc & Ante, Lennart & Fiedler, Ingo, 2021. "Ownership, uses and perceptions of cryptocurrency: Results from a population survey," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    35. Aalborg, Halvor Aarhus & Molnár, Peter & de Vries, Jon Erik, 2019. "What can explain the price, volatility and trading volume of Bitcoin?," Finance Research Letters, Elsevier, vol. 29(C), pages 255-265.
    36. Zhang, Jiahang & Zhang, Chi, 2022. "Do cryptocurrency markets react to issuer sentiments? Evidence from Twitter," Research in International Business and Finance, Elsevier, vol. 61(C).
    37. John R. Graham, 1999. "Herding among Investment Newsletters: Theory and Evidence," Journal of Finance, American Finance Association, vol. 54(1), pages 237-268, February.
    38. Rau, Holger A., 2014. "The disposition effect and loss aversion: Do gender differences matter?," Economics Letters, Elsevier, vol. 123(1), pages 33-36.
    39. Sun, Wei & Dedahanov, Alisher Tohirovich & Shin, Ho Young & Li, Wei Ping, 2021. "Factors affecting institutional investors to add crypto-currency to asset portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
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