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Does Twitter Happiness Sentiment predict cryptocurrency?

Author

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  • Muhammad Abubakr Naeem
  • Imen Mbarki
  • Muhammed Tahir Suleman
  • Xuan Vinh Vo
  • Syed Jawad Hussain Shahzad

Abstract

We examine the predictive ability of Twitter Happiness Sentiment for six major cryptocurrencies using daily data from August 7, 2015 to December 31, 2019. At first instance, our results conclude a significant nonlinear relationship between Twitter Happiness Sentiment and cryptocurrencies. The nonlinear dependence structure is further enhanced when using the quantile‐on‐quantile (QQ) analysis, which indicates that high and low sentiment predicts returns of five cryptocurrencies. These findings are statistically and economically significant.

Suggested Citation

  • Muhammad Abubakr Naeem & Imen Mbarki & Muhammed Tahir Suleman & Xuan Vinh Vo & Syed Jawad Hussain Shahzad, 2021. "Does Twitter Happiness Sentiment predict cryptocurrency?," International Review of Finance, International Review of Finance Ltd., vol. 21(4), pages 1529-1538, December.
    • Handle: RePEc:bla:irvfin:v:21:y:2021:i:4:p:1529-1538
    DOI: 10.1111/irfi.12339
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    Citations

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    Cited by:

    1. Kumar Kulbhaskar, Anamika & Subramaniam, Sowmya, 2023. "Breaking news headlines: Impact on trading activity in the cryptocurrency market," Economic Modelling, Elsevier, vol. 126(C).
    2. Corbet, Shaen & Goodell, John W. & Günay, Samet, 2022. "What drives DeFi prices? Investigating the effects of investor attention," Finance Research Letters, Elsevier, vol. 48(C).
    3. Emmanuel Joel Aikins Abakah & Aviral Kumar Tiwari & Chi‐Chuan Lee & Matthew Ntow‐Gyamfi, 2023. "Quantile price convergence and spillover effects among Bitcoin, Fintech, and artificial intelligence stocks," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 187-205, March.
    4. Rudkin, Simon & Rudkin, Wanling & Dłotko, Paweł, 2023. "On the topology of cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 89(C).
    5. Li, Chao & Yang, Haijun, 2022. "Will memecoins’ surge trigger a crypto crash? Evidence from the connectedness between leading cryptocurrencies and memecoins," Finance Research Letters, Elsevier, vol. 50(C).
    6. 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).
    7. Wang, Jying-Nan & Liu, Hung-Chun & Lee, Yen-Hsien & Hsu, Yuan-Teng, 2023. "FoMO in the Bitcoin market: Revisiting and factors," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 244-253.
    8. Moser, Stefanie & Brauneis, Alexander, 2023. "Should you listen to crypto YouTubers?," Finance Research Letters, Elsevier, vol. 54(C).

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