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Good vibes only: The crypto-optimistic behavior

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  • Caferra, Rocco

Abstract

This paper aims at investigating the relationship between news-driven sentiments and the convergence of behavior in cryptocurrencies market, contributing to the existing literature in the field. The novelty stands in the relation set between the tone of news and returns dispersion. The average daily sentiment score deriving from a worldwide online news dataset has been exploited as a proxy of market humor, in the attempt to identify how emotions spread by the press are related to traders’ actions. By employing both Cross-sectional standard (CSSD) and absolute (CSAD) deviation, it is found that the rises and falls of optimism shape returns variability. Indeed, the paper evidences how an increase of news positivity is associated with a lower returns dispersion, evidencing the convergence of beliefs among investors.

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  • Caferra, Rocco, 2020. "Good vibes only: The crypto-optimistic behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    • Handle: RePEc:eee:beexfi:v:28:y:2020:i:c:s2214635020303348
    DOI: 10.1016/j.jbef.2020.100407
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    References listed on IDEAS

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    Cited by:

    1. Sinda Hadhri, 2021. "Fear of the Coronavirus and Cryptocurrencies' returns," Economics Bulletin, AccessEcon, vol. 41(3), pages 2041-2054.
    2. Nidhal Mgadmi & Azza Béjaoui & Wajdi Moussa, 2023. "Disentangling the Nonlinearity Effect in Cryptocurrency Markets During the Covid-19 Pandemic: Evidence from a Regime-Switching Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(3), pages 457-473, September.
    3. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    4. Caferra, Rocco & Morone, Andrea & Potì, Valerio, 2022. "Crypto-environment network connectivity and Bitcoin returns distribution tail behaviour," Economics Letters, Elsevier, vol. 218(C).
    5. Humaira Asad & Iqra Toqeer & Khalid Mahmood, 2021. "A qualitative phenomenological exploration of social mood and investors’ risk tolerance in an emerging economy," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 14(1), pages 189-211, August.
    6. Caferra, Rocco, 2022. "Sentiment spillover and price dynamics: Information flow in the cryptocurrency and stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    7. Kumar Kulbhaskar, Anamika & Subramaniam, Sowmya, 2023. "Breaking news headlines: Impact on trading activity in the cryptocurrency market," Economic Modelling, Elsevier, vol. 126(C).
    8. Chen, Meichen & Qin, Cong & Zhang, Xiaoyu, 2022. "Cryptocurrency price discrepancies under uncertainty: Evidence from COVID-19 and lockdown nexus," Journal of International Money and Finance, Elsevier, vol. 124(C).
    9. Manpreet Kaur & Jinesh Jain & Kirti Sood, 2024. "“All are investing in Crypto, I fear of being missed out”: examining the influence of herding, loss aversion, and overconfidence in the cryptocurrency market with the mediating effect of FOMO," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(3), pages 2237-2263, June.
    10. Al-Omoush, Khaled Saleh & Gomez-Olmedo, Ana M. & Funes, Andrés Gómez, 2024. "Why do people choose to continue using cryptocurrencies?," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    11. García Londoño, Adriana & Alonso Díaz, Santiago, 2024. "Small price bias in the cryptocurrency market. A cognitive bias revealed by emotions on social networks," Finance Research Letters, Elsevier, vol. 69(PA).

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