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Flight to Bitcoin (in)attention and herding in cryptocurrencies

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  • Li, Xiao

Abstract

This paper first documents a novel herding for Altcoin, i.e., herding towards Bitcoin. Besides, constructing the proxies for flight to Bitcoin (in)attention with Google Trends and Twitter, the results reveal that flight to Bitcoin inattention strengthens the herding and flight to Bitcoin attention attenuates the herding. Subperiod analysis further reveals that the finding is more pronounced during the period before the introduction of Bitcoin futures, and the period before the outbreak of COVID-19.

Suggested Citation

  • Li, Xiao, 2025. "Flight to Bitcoin (in)attention and herding in cryptocurrencies," International Review of Economics & Finance, Elsevier, vol. 99(C).
    • Handle: RePEc:eee:reveco:v:99:y:2025:i:c:s1059056025001777
    DOI: 10.1016/j.iref.2025.104014
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    References listed on IDEAS

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    1. da Gama Silva, Paulo Vitor Jordão & Klotzle, Marcelo Cabus & Pinto, Antonio Carlos Figueiredo & Gomes, Leonardo Lima, 2019. "Herding behavior and contagion in the cryptocurrency market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 41-50.
    2. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    3. Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Herding behaviour in cryptocurrencies," Finance Research Letters, Elsevier, vol. 29(C), pages 216-221.
    4. Urquhart, Andrew, 2018. "What causes the attention of Bitcoin?," Economics Letters, Elsevier, vol. 166(C), pages 40-44.
    5. Jia, Boxiang & Shen, Dehua & Zhang, Wei, 2022. "Extreme sentiment and herding: Evidence from the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 63(C).
    6. Mouna Youssef, 2022. "Do Oil Prices and Financial Indicators Drive the Herding Behavior in Commodity Markets?," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 23(1), pages 58-72, January.
    7. Corbet, Shaen & Katsiampa, Paraskevi & Lau, Chi Keung Marco, 2020. "Measuring quantile dependence and testing directional predictability between Bitcoin, altcoins and traditional financial assets," International Review of Financial Analysis, Elsevier, vol. 71(C).
    8. Shen, Dehua & Urquhart, Andrew & Wang, Pengfei, 2019. "Does twitter predict Bitcoin?," Economics Letters, Elsevier, vol. 174(C), pages 118-122.
    9. Li, Yue & Goodell, John W. & Shen, Dehua, 2021. "Comparing search-engine and social-media attentions in finance research: Evidence from cryptocurrencies," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 723-746.
    10. Tong, Zezheng & Goodell, John W. & Shen, Dehua, 2022. "Assessing causal relationships between cryptocurrencies and investor attention: New results from transfer entropy methodology," Finance Research Letters, Elsevier, vol. 50(C).
    11. Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
    12. Philippas, Dionisis & Philippas, Nikolaos & Tziogkidis, Panagiotis & Rjiba, Hatem, 2020. "Signal-herding in cryptocurrencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    13. Galariotis, Emilios C. & Rong, Wu & Spyrou, Spyros I., 2015. "Herding on fundamental information: A comparative study," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 589-598.
    14. Shi, Guiqiang & Shen, Dehua & Zhu, Zhaobo, 2024. "Herding towards carbon neutrality: The role of investor attention," International Review of Financial Analysis, Elsevier, vol. 91(C).
    15. Xolani Sibande & Rangan Gupta & Riza Demirer & Elie Bouri, 2023. "Investor Sentiment and (Anti) Herding in the Currency Market: Evidence from Twitter Feed Data," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 24(1), pages 56-72, January.
    16. Juanjuan Zhang & Peng Liu, 2012. "Rational Herding in Microloan Markets," Management Science, INFORMS, vol. 58(5), pages 892-912, May.
    17. Zhao, Yingxiu & Goodell, John W. & Shen, Dehua, 2024. "Spillover effects according to classification of cryptocurrency," Finance Research Letters, Elsevier, vol. 65(C).
    18. Härdle, Wolfgang Karl & Wang, Weining & Yu, Lining, 2016. "TENET: Tail-Event driven NETwork risk," Journal of Econometrics, Elsevier, vol. 192(2), pages 499-513.
    19. Smales, L.A., 2022. "Investor attention in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 79(C).
    20. Cai, Fang & Han, Song & Li, Dan & Li, Yi, 2019. "Institutional herding and its price impact: Evidence from the corporate bond market," Journal of Financial Economics, Elsevier, vol. 131(1), pages 139-167.
    21. Hwang, Soosung & Salmon, Mark, 2004. "Market stress and herding," Journal of Empirical Finance, Elsevier, vol. 11(4), pages 585-616, September.
    22. Chiang, Thomas C. & Zheng, Dazhi, 2010. "An empirical analysis of herd behavior in global stock markets," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1911-1921, August.
    23. Dehua Shen & Andrew Urquhart & Pengfei Wang, 2020. "Forecasting the volatility of Bitcoin: The importance of jumps and structural breaks," European Financial Management, European Financial Management Association, vol. 26(5), pages 1294-1323, November.
    24. Wang, Chen & Shen, Dehua & Li, Youwei, 2022. "Aggregate Investor Attention and Bitcoin Return: The Long Short-term Memory Networks Perspective," Finance Research Letters, Elsevier, vol. 49(C).
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