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Twitter and cryptocurrency pump-and-dumps

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  • Ardia, David
  • Bluteau, Keven

Abstract

We study the relation between the promotion of a cryptocurrency on Twitter and its return dynamics around pump-and-dump events. By analyzing abnormal returns, trading volume, and tweet activity, we uncover that Twitter effectively garners attention for pump-and-dump schemes, leading to notable effects on abnormal returns before the event. Our results indicate that investors relying on Twitter information exhibit delayed selling behavior during the post-dump phase, resulting in significant losses compared to other participants. We also find that, while tweets directly promoting pump schemes align with anticipated market phases, a noteworthy portion of indirect, non-pump-aware tweets significantly influence market movements pre-event.

Suggested Citation

  • Ardia, David & Bluteau, Keven, 2024. "Twitter and cryptocurrency pump-and-dumps," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    • Handle: RePEc:eee:finana:v:95:y:2024:i:pb:s1057521924004113
    DOI: 10.1016/j.irfa.2024.103479
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    1. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 238-249, April.
    2. Rui Fan & Oleksandr Talavera & Vu Tran, 2020. "Social media bots and stock markets," European Financial Management, European Financial Management Association, vol. 26(3), pages 753-777, June.
    3. Aharon, David Y. & Demir, Ender & Lau, Chi Keung Marco & Zaremba, Adam, 2022. "Twitter-Based uncertainty and cryptocurrency returns," Research in International Business and Finance, Elsevier, vol. 59(C).
    4. Lucey, Brian M. & Vigne, Samuel A. & Yarovaya, Larisa & Wang, Yizhi, 2022. "The cryptocurrency uncertainty index," Finance Research Letters, Elsevier, vol. 45(C).
    5. Kraaijeveld, Olivier & De Smedt, Johannes, 2020. "The predictive power of public Twitter sentiment for forecasting cryptocurrency prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    6. Shuyu Zhang & Dunli Zhang & Jianming Zheng & Walter Aerts & Dandan Xu, 2023. "Plus Token and investor searching behaviour – A cryptocurrency Ponzi scheme," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4713-4728, December.
    7. Yizhi Wang & Brian Lucey & Samuel Alexandre Vigne & Larisa Yarovaya, 2022. "An index of cryptocurrency environmental attention (ICEA)," China Finance Review International, Emerald Group Publishing Limited, vol. 12(3), pages 378-414, January.
    8. Panpan Zhu & Xing Zhang & You Wu & Hao Zheng & Yinpeng Zhang, 2021. "Investor attention and cryptocurrency: Evidence from the Bitcoin market," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-28, February.
    9. Shen, Dehua & Urquhart, Andrew & Wang, Pengfei, 2019. "Does twitter predict Bitcoin?," Economics Letters, Elsevier, vol. 174(C), pages 118-122.
    10. Vladyslav Koltun & Ivan P. Yamshchikov, 2023. "Pump It: Twitter Sentiment Analysis for Cryptocurrency Price Prediction," Risks, MDPI, vol. 11(9), pages 1-14, September.
    11. Shuyu Zhang & Xuanyu Zhou & Huifeng Pan & Junyi Jia, 2019. "Cryptocurrency, confirmatory bias and news readability – evidence from the largest Chinese cryptocurrency exchange," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(5), pages 1445-1468, March.
    12. Ante, Lennart, 2023. "How Elon Musk's Twitter activity moves cryptocurrency markets," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    13. Jiahua Xu & Benjamin Livshits, 2018. "The Anatomy of a Cryptocurrency Pump-and-Dump Scheme," Papers 1811.10109, arXiv.org, revised Aug 2019.
    14. Wang, Yizhi & Wei, Yu & Lucey, Brian M. & Su, Yang, 2023. "Return spillover analysis across central bank digital currency attention and cryptocurrency markets," Research in International Business and Finance, Elsevier, vol. 64(C).
    15. A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
    16. Massoud, Nadia & Ullah, Saif & Scholnick, Barry, 2016. "Does it help firms to secretly pay for stock promoters?," Journal of Financial Stability, Elsevier, vol. 26(C), pages 45-61.
    17. Anirudh Dhawan & Tālis J Putniņš, 2023. "A New Wolf in Town? Pump-and-Dump Manipulation in Cryptocurrency Markets," Review of Finance, European Finance Association, vol. 27(3), pages 935-975.
    18. Gunay, Samet, 2019. "Impact of Public Information Arrivals on Cryptocurrency Market: A Case of Twitter Posts on Ripple," East Asian Economic Review, Korea Institute for International Economic Policy, vol. 23(2), pages 149-168, June.
    19. Rajesh K. Aggarwal & Guojun Wu, 2006. "Stock Market Manipulations," The Journal of Business, University of Chicago Press, vol. 79(4), pages 1915-1954, July.
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