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Extreme sentiment and herding: Evidence from the cryptocurrency market

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  • Jia, Boxiang
  • Shen, Dehua
  • Zhang, Wei

Abstract

Investor sentiment can be the potentially crucial factor inducing herding behavior. We advocate novel proxies for investor sentiment in cryptocurrency market and define the extreme positive (negative) sentiment as euphoria (dysphoria). We find significant herding during euphoria and dysphoria. Additionally, herding magnitude appears significantly stronger during dysphoria in most of our sample periods. Counterintuitively, the impact of extreme sentiment on herding is more pronounced in large cryptocurrencies. These findings are robust to a battery of additional tests, including alternative measurements of the market return, alternative definitions of the extreme sentiment, subperiod analysis as well as the alternative proxies for investor sentiment. Taken together, our findings indicate that extreme sentiment is an important determinant of herding in cryptocurrencies.

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  • 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).
  • Handle: RePEc:eee:riibaf:v:63:y:2022:i:c:s0275531922001568
    DOI: 10.1016/j.ribaf.2022.101770
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    Cited by:

    1. Meng, Yongqiang & Goodell, John W. & Shen, Dehua, 2023. "Information shocks and investor underreaction: Evidence from the Bitcoin market," Finance Research Letters, Elsevier, vol. 56(C).
    2. Li, Xiao & Xing, Yao, 2023. "When stock return synchronicity meets investor sentiment," Finance Research Letters, Elsevier, vol. 53(C).
    3. Meng, Yongqiang & Shen, Dehua & Xiong, Xiong, 2023. "When stock price crash risk meets fundamentals," Research in International Business and Finance, Elsevier, vol. 65(C).
    4. Zhaobo Zhu & Wenjie Ding & Yi Jin & Dehua Shen, 2023. "Dissecting the Idiosyncratic Volatility Puzzle: A Fundamental Analysis Approach," Post-Print hal-04194180, HAL.
    5. Filip, Angela Maria & Pochea, Maria Miruna, 2023. "Intentional and spurious herding behavior: A sentiment driven analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    6. Ştefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2023. "Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-58, December.
    7. Guiqiang Shi & Dehua Shen & Zhaobo Zhu, 2024. "Herding towards carbon neutrality: The role of investor attention," Post-Print hal-04348526, HAL.

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