Dynamics of Herding Behavior in Cryptocurrency Markets Amid Market Crashes
Year 2023,
, 130 - 140, 20.12.2023
Patrice Racine Dıallo
,
Bakhtiyar Garayev
,
Ozlem Sayılır
,
Muhammed Aslam Chelery Komath
Abstract
Herding behavior is expected to intensify with increasing uncertainty in financial markets, especially after jarring structural changes such as thepandemic. For this reason, in this study we examined herding behavior in the cryptocurrency market amid market crashes. Using daily cryptocurrency price data in 02.01.2018 - 22.03.2023 of the 9 most traded cryptocurrencies, the presence of herding behavior was investigated using the cross-sectional absolute deviation (CSAD) method. The dynamics of herding behavior was explored in 3 sub-periods: the Pre-Covid Period, the Covid-19 Period and the Post Market Crash Period after Tesla’s Announcement. We also tested if the largest cryptocurrencies were driving small cryptocurrencies in the 3 sub-periods as well as the whole period. The findings of the study reveal that there is no herding in the market in significant market fluctuations. Moreover, there seems to be no asymmetric herding behavior as we distinguish between up and down markets. Hence, our findings imply rational investment decision-making. Yet, the results indicate that the largest cryptocurrencies are wielding a substantial influence over the rest of the market across the overall period and in the Post Covid Period (Period 2) in both up and down markets. However, in Period 1 and Period 3, the herding of small cryptocurrencies varies depending on whether the market returns are positive or negative. Our findings imply that the dynamics of the herding behavior between large and small cryptocurrencies has shifted with significant market crashes (outbreak of Covid-19, Tesla’s announcement).
References
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Year 2023,
, 130 - 140, 20.12.2023
Patrice Racine Dıallo
,
Bakhtiyar Garayev
,
Ozlem Sayılır
,
Muhammed Aslam Chelery Komath
References
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- Ballis, A., & Drakos, K. (2020). Testing for herding in the cryptocurrency market. Finance Research Letters, 33, 101-210. google scholar
- Banerjee, A. V. (1992). A simple model of herd behavior. The quarterly journal of economics, 107(3), 797817. google scholar
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- Demir, E., Bilgin, M. H., Karabulut, G., & Doker, A. C. (2020). The relationship between cryptocurrencies and COVID-19 pandemic. Eurasian Economic Review, 10, 349-360. google scholar
- Demirer, R., Lee, H.-T., & Lien, D. (2015). Does the stock market drive herd behavior in commodity futures markets? International review of financial analysis, 39, 32-44. google scholar
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- Haacker, M. (2004). The impact of HIV/AIDS on government finance and public services. The macroeconomics of HIV/AIDS, 2002, 198-258. google scholar
- Haryanto, S., Subroto, A., & Ulpah, M. (2020). Disposition effect and herding behavior in the cryptocurrency market. Journal of Industrial and Business Economics, 47, 115-132. google scholar
- Hoffman, S. J., & Silverberg, S. L. (2018). Delays in global disease outbreak responses: lessons from H1N1, Ebola, and Zika. American journal of public health, 108(3), 329-333. google scholar
- Hwang, S., & Salmon, M. (2004). Market stress and herding. Journal of Empirical Finance, 11(4), 585-616. google scholar
- Iqbal, N., Fareed, Z., Wan, G., & Shahzad, F. (2021). Asymmetric nexus between COVID-19 outbreak in the world and cryptocurrency market. International review of financial analysis, 73, 101-613. google scholar
- Javaira, Z., & Hassan, A. (2015). An examination of herding behavior in Pakistani stock market. International Journal of Emerging Markets. google scholar
- Kabir, M. H., & Shakur, S. (2018). Regime-dependent herding behavior in Asian and Latin American stock markets. Pacific-Basin Finance Journal, 47, 60-78. Retrieved from https://doi.org/10.1016/j.pacfin.2017.12.002 google scholar
- Kaiser, L., & Stöckl, S. (2020). Cryptocurrencies: Herding and the transfer currency. Finance Research Letters, 33, 101-214. google scholar
- Kallinterakis, V., & Wang, Y. (2019). Do investors herd in cryptocurrencies-and why? Research in International Business and Finance, 50,240-245. google scholar
- Kyriazis, N., Papadamou, S., & Corbet, S. (2020). A systematic review of the bubble dynamics of cryptocurrency prices. Research in International Business and Finance, 54, 101-254. google scholar
- Lakonishok, J., Shleifer, A., & Vishny, R. W. (1992). The impact of institutional trading on stock prices. Journal of financial economics, 32(1),23-43. google scholar
- Lakshman, M., Basu, S., & Vaidyanathan, R. (2013). Market-wide herding and the impact of institutional investors in the Indian capital market. Journal of Emerging Market Finance, 12(2), 197-237. google scholar
- Poyser, O. (2018). Herding behavior in cryptocurrency markets. arXiv preprint arXiv:1806.11348. google scholar
- Sias, R. W. (2004). Institutional herding. The review of financial studies, 17(1), 165-206. google scholar
- Smith, H. (2023). Bitcoin crash: what was behind the crypto collapse? Retrieved from https://www.thetimes.co.uk/money-mentor/article/ is-bitcoin-crash-coming/ google scholar
- Stancel, D. (2015). Economic Consequences of Cryptocurrencies and Associated Decentralized Systems. Journal Of Economics, 25. google scholar
- Tversky, A.,& Kahneman, D. (1989). Rational choice and the framing of decisions. Paper presented at the Multiple criteria decision making and risk analysis using microcomputers. google scholar
- Vidal-Tomas, D. (2021). The entry and exit dynamics of the cryptocurrency market. Research in International Business and Finance, 58, 101-504. google scholar
- Yarovaya, L., Matkovskyy, R., & Jalan, A. (2021). The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets. Journal of International Financial Markets, Institutions and Money, 75, 101-321. google scholar