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Disposition effect and herding behavior in the cryptocurrency market

Author

Listed:
  • Steven Haryanto

    (Universitas Indonesia)

  • Athor Subroto

    (Universitas Indonesia)

  • Maria Ulpah

    (Universitas Indonesia)

Abstract

This paper investigates two behavioral biases—the disposition effect and herding—using the Mt. Gox data between 2011–2013 in the bitcoin cryptocurrency market. Using trade round-trip and survival analysis, it shows the market exhibits a reverse disposition effect in bullish periods and the usual positive disposition effect in bearish periods. It finds evidence of herding in bearish as well as bullish periods using a return dispersion model. Additionally, it shows that herding moves along the market trend. Herding increases in both bullish and bearish periods when the bitcoin price increases and decreases, respectively.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:epolin:v:47:y:2020:i:1:d:10.1007_s40812-019-00130-0
    DOI: 10.1007/s40812-019-00130-0
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    Cited by:

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    2. Douglas Cumming & Zachary Glatzer & Omrane Guedhami, 2023. "Institutions, digital assets, and implications for economic and financial performance," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 50(3), pages 487-513, September.
    3. Imran Yousaf & Shoaib Ali & Elie Bouri & Anupam Dutta, 2021. "Herding on Fundamental/Nonfundamental Information During the COVID-19 Outbreak and Cyber-Attacks: Evidence From the Cryptocurrency Market," SAGE Open, , vol. 11(3), pages 21582440211, July.
    4. Saji Thazhungal Govindan Nair, 2021. "On extreme value theory in the presence of technical trend: pre and post Covid-19 analysis of cryptocurrency markets," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 14(4), pages 533-561, December.
    5. Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
    6. Andrei Dragos Popescu, 2021. "Macroeconomic Forces That Influence Alternative Assets Pricing," Management Strategies Journal, Constantin Brancoveanu University, vol. 52(2), pages 52-60.
    7. Giancarlo Giudici & Alistair Milne & Dmitri Vinogradov, 2020. "Cryptocurrencies: market analysis and perspectives," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(1), pages 1-18, March.
    8. Evrim Mandaci, Pinar & Cagli, Efe Caglar, 2022. "Herding intensity and volatility in cryptocurrency markets during the COVID-19," Finance Research Letters, Elsevier, vol. 46(PB).
    9. Rubbaniy, Ghulame & Polyzos, Stathis & Rizvi, Syed Kumail Abbas & Tessema, Abiot, 2021. "COVID-19, Lockdowns and herding towards a cryptocurrency market-specific implied volatility index," Economics Letters, Elsevier, vol. 207(C).

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    More about this item

    Keywords

    Cryptocurrency market; Bitcoin; Disposition effect; Herding behavior;
    All these keywords.

    JEL classification:

    • G40 - Financial Economics - - Behavioral Finance - - - General

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