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Herding behavior in cryptocurrency markets

Author

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  • Obryan Poyser

Abstract

There are no solid arguments to sustain that digital currencies are the future of online payments or the disruptive technology that some of its former participants declared when used to face critiques. This paper aims to solve the cryptocurrency puzzle from a behavioral finance perspective by finding the parallelism between biases present in financial markets that could be applied to cryptomarkets. Moreover, it is suggested that cryptocurrencies' prices are driven by herding, hence this study test herding behavior under asymmetric and symmetric conditions and the existence of different herding regimes by employing the Markov-Switching approach.

Suggested Citation

  • Obryan Poyser, 2018. "Herding behavior in cryptocurrency markets," Papers 1806.11348, arXiv.org, revised Nov 2018.
    • Handle: RePEc:arx:papers:1806.11348
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    Cited by:

    1. Firuze Simay SEZGIN & Caner ÖZDURAK, 2023. "Are Crypto Assets Connected to Real World Shocks? The Nexus Between Terrorist Attacks, Bitcoin and NFTs," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 10(1), pages 113-132, January.
    2. Manahov, Viktor & Li, Mingnan, 2024. "The implications of virtual money on travel and tourism," Annals of Tourism Research, Elsevier, vol. 105(C).
    3. 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).
    4. Bennett, Donyetta & Mekelburg, Erik & Williams, T.H., 2023. "BeFi meets DeFi: A behavioral finance approach to decentralized finance asset pricing," Research in International Business and Finance, Elsevier, vol. 65(C).
    5. Siniša Bogdan & Natali Brmalj & Elvis Mujačević, 2023. "Impact of Liquidity and Investors Sentiment on Herd Behavior in Cryptocurrency Market," IJFS, MDPI, vol. 11(3), pages 1-17, July.
    6. Gemayel, Roland & Preda, Alex, 2024. "Herding in the cryptocurrency market: A transaction-level analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    7. An Pham Ngoc Nguyen & Thomas Conlon & Martin Crane & Marija Bezbradica, 2024. "Herding Unmasked: Insights into Cryptocurrencies, Stocks and US ETFs," Papers 2407.08069, arXiv.org.
    8. Suchanek, Max, 2021. "The dark triad and investment behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    9. Onur Özdemir, 2022. "Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.
    10. Karim, Muhammad Mahmudul & Ali, Md Hakim & Yarovaya, Larisa & Uddin, Md Hamid & Hammoudeh, Shawkat, 2023. "Return-volatility relationships in cryptocurrency markets: Evidence from asymmetric quantiles and non-linear ARDL approach," International Review of Financial Analysis, Elsevier, vol. 90(C).
    11. Uzeyir Aydin & Buc{s}ra Au{g}an & Omer Aydin, 2021. "Herd Behavior in Crypto Asset Market and Effect of Financial Information on Herd Behavior," Papers 2104.00763, arXiv.org.
    12. Ren, Boru & Lucey, Brian, 2022. "Do clean and dirty cryptocurrency markets herd differently?," Finance Research Letters, Elsevier, vol. 47(PB).

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