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The impact of sentiment and engagement of Twitter posts on cryptocurrency price movement

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  • Li, Scott
  • Ma, Judy

Abstract

This paper examines the impact of sentiment and engagement from Twitter posts on the daily price movement of five top cryptocurrencies (Bitcoin, Ethereum, Dogecoin, Cardano, Ripple) from 2021 to 2022. Using the difference between positive and negative key word counts as a proxy for sentiment, we find that Twitter post sentiment has mixed effects on the short-term price movement of the five cryptocurrencies. We developed a novel composite impact index to measure the engagement level of original Twitter posts and find that it has negative impact on price movement of all five cryptocurrencies.

Suggested Citation

  • Li, Scott & Ma, Judy, 2024. "The impact of sentiment and engagement of Twitter posts on cryptocurrency price movement," Finance Research Letters, Elsevier, vol. 65(C).
  • Handle: RePEc:eee:finlet:v:65:y:2024:i:c:s1544612324006287
    DOI: 10.1016/j.frl.2024.105598
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    References listed on IDEAS

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    1. Bouteska, Ahmed & Hajek, Petr & Abedin, Mohammad Zoynul & Dong, Yizhe, 2023. "Effect of twitter investor engagement on cryptocurrencies during the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 64(C).
    2. 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).
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    4. Saggu, Aman, 2022. "The Intraday Bitcoin Response to Tether Minting and Burning Events: Asymmetry, Investor Sentiment, and “Whale Alerts” on Twitter," Finance Research Letters, Elsevier, vol. 49(C).
    5. Ante, Lennart, 2023. "How Elon Musk's Twitter activity moves cryptocurrency markets," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    6. Bonaparte, Yosef & Bernile, Gennaro, 2023. "A new “Wall Street Darling?” effects of regulation sentiment in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 52(C).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Twitter; Social media engagement; Sentiment; Cryptocurrency;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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    Access and download statistics

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