IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v85y2025ipas1544612325011237.html

Exploring the impact of sentiment on the relationship between daily herding and investor attention in the cryptocurrency market

Author

Listed:
  • Jung, Jaemin
  • Seo, Byoung Ki

Abstract

This study examines the relationship between daily herding behavior and investor attention, as measured by the Google Search Volume Index, in the cryptocurrency market. Herding behavior is quantified using intra-day price data. The results suggest that higher investor attention is associated with a reduction in daily herding, which may reflect improved market efficiency. Furthermore, the moderating role of market sentiment is investigated, suggesting that during periods of heightened fear, the impact of attention on herding diminishes. These results indicate that elevated fear prompts investors to follow others’ decisions regardless of attention levels, highlighting the role of sentiment in shaping herding behavior.

Suggested Citation

  • Jung, Jaemin & Seo, Byoung Ki, 2025. "Exploring the impact of sentiment on the relationship between daily herding and investor attention in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 85(PA).
    • Handle: RePEc:eee:finlet:v:85:y:2025:i:pa:s1544612325011237
    DOI: 10.1016/j.frl.2025.107865
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325011237
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2025.107865?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Kogana, Shimon & Makarov, Igor & Niessnerc, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," LSE Research Online Documents on Economics 122266, London School of Economics and Political Science, LSE Library.
    2. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    3. Aliu, Florin, 2024. "Do infectious diseases explain Bitcoin price Fluctuations?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 93(C).
    4. Han, Bing & Kumar, Alok, 2013. "Speculative Retail Trading and Asset Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 48(2), pages 377-404, April.
    5. Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Herding behaviour in cryptocurrencies," Finance Research Letters, Elsevier, vol. 29(C), pages 216-221.
    6. Hsieh, Shu-Fan & Chan, Chia-Ying & Wang, Ming-Chun, 2020. "Retail investor attention and herding behavior," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 109-132.
    7. Philippas, Dionisis & Philippas, Nikolaos & Tziogkidis, Panagiotis & Rjiba, Hatem, 2020. "Signal-herding in cryptocurrencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    8. Yao, Juan & Ma, Chuanchan & He, William Peng, 2014. "Investor herding behaviour of Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 12-29.
    9. Costola, Michele & Iacopini, Matteo & Santagiustina, Carlo R.M.A., 2021. "Google search volumes and the financial markets during the COVID-19 outbreak," Finance Research Letters, Elsevier, vol. 42(C).
    10. Zhi Da & Joseph Engelberg & Pengjie Gao, 2011. "In Search of Attention," Journal of Finance, American Finance Association, vol. 66(5), pages 1461-1499, October.
    11. Wanidwaranan, Phasin & Wongkantarakorn, Jutamas & Padungsaksawasdi, Chaiyuth, 2025. "Geopolitical risk, herd behavior, and cryptocurrency market," The North American Journal of Economics and Finance, Elsevier, vol. 80(C).
    12. Whitney Newey & Kenneth West, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    13. Pyun, Chaehyun, 2024. "Synchronous social media and the stock market," Journal of Financial Markets, Elsevier, vol. 70(C).
    14. Bleher, Johannes & Dimpfl, Thomas, 2019. "Today I got a million, tomorrow, I don't know: On the predictability of cryptocurrencies by means of Google search volume," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 147-159.
    15. Kogan, Shimon & Makarov, Igor & Niessner, Marina & Schoar, Antoinette, 2024. "Are cryptos different? Evidence from retail trading," Journal of Financial Economics, Elsevier, vol. 159(C).
    16. Koch, Sophia & Dimpfl, Thomas, 2023. "Attention and retail investor herding in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 51(C).
    17. Brad M. Barber & Terrance Odean, 2008. "All That Glitters: The Effect of Attention and News on the Buying Behavior of Individual and Institutional Investors," The Review of Financial Studies, Society for Financial Studies, vol. 21(2), pages 785-818, April.
    18. David Hirshleifer & Sonya Seongyeon Lim & Siew Hong Teoh, 2009. "Driven to Distraction: Extraneous Events and Underreaction to Earnings News," Journal of Finance, American Finance Association, vol. 64(5), pages 2289-2325, October.
    19. Cheah, Eng-Tuck & Fry, John, 2015. "Speculative bubbles in Bitcoin markets? An empirical investigation into the fundamental value of Bitcoin," Economics Letters, Elsevier, vol. 130(C), pages 32-36.
    20. Scharnowski, Stefan & Shi, Yanghua, 2024. "Intraday herding and attention around the clock," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    21. Tavares, Natalia Alves & da Gama Silva, Paulo Vitor Jordão & Klotzle, Marcelo Cabus, 2025. "Investigation of the intentional and spurious herding effects in the cryptocurrency market with global events," The Quarterly Review of Economics and Finance, Elsevier, vol. 102(C).
    22. 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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Pengcheng Wang & Zefeng Bai, 2025. "Decoding the crypto investor profile: how financial literacy, investment experience and age shape cryptocurrency investment decisions," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-9, December.
    2. Gao, Yongchang & Tian, Lin, 2025. "Media sentiment, investor attention, and market volatility," Finance Research Letters, Elsevier, vol. 86(PG).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Shi, Guiqiang & Shen, Dehua & Zhu, Zhaobo, 2024. "Herding towards carbon neutrality: The role of investor attention," International Review of Financial Analysis, Elsevier, vol. 91(C).
    2. Hadhri, Sinda & Younus, Mehak & Naeem, Muhammad Abubakr & Yarovaya, Larisa, 2025. "Listening to the Market: Music sentiment and cryptocurrency returns," Journal of International Money and Finance, Elsevier, vol. 157(C).
    3. Mateusz Skwarek, 2025. "Why Do Investors Behave Irrationally in the Cryptocurrency and Emerging Stock Markets?," SAGE Open, , vol. 15(3), pages 21582440251, July.
    4. Scharnowski, Stefan & Shi, Yanghua, 2024. "Intraday herding and attention around the clock," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    5. Ozkan Haykir & Ibrahim Yagli, 2022. "Speculative bubbles and herding in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-33, December.
    6. Atilgan, Yigit & Bali, Turan G. & Demirtas, K. Ozgur & Gunaydin, A. Doruk, 2020. "Left-tail momentum: Underreaction to bad news, costly arbitrage and equity returns," Journal of Financial Economics, Elsevier, vol. 135(3), pages 725-753.
    7. Yarovaya, Larisa & Matkovskyy, Roman & Jalan, Akanksha, 2021. "The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    8. Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
    9. Wen, Danyan & Zhang, Zihao & Nie, Jing & Cao, Yang, 2024. "Investor attention and anomalies: Evidence from the Chinese stock market," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    10. Mohrschladt, Hannes, 2021. "The ordering of historical returns and the cross-section of subsequent returns," Journal of Banking & Finance, Elsevier, vol. 125(C).
    11. André Betzer & Jan Philipp Harries, 2022. "How online discussion board activity affects stock trading: the case of GameStop," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(4), pages 443-472, December.
    12. Hoang, Lai & Vo, Duc Hong, 2024. "Google search and cross-section of cryptocurrency returns and trading activities," Journal of Behavioral and Experimental Finance, Elsevier, vol. 44(C).
    13. Xiaoyang, Xu & Ali, Shoaib & Naveed, Muhammad, 2024. "Artificial intelligence and big data tokens: Where cognition unites, herding patterns take flight," Research in International Business and Finance, Elsevier, vol. 72(PA).
    14. David Hirshleifer & Po-Hsuan Hsu & Dongmei Li, 2018. "Innovative Originality, Profitability, and Stock Returns," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2553-2605.
    15. Heusel, Nicola & Mager, Ferdinand, 2023. "Pension funding and the cross section of stock returns - The case of Germany," Journal of Banking & Finance, Elsevier, vol. 150(C).
    16. Cosemans, Mathijs & Frehen, Rik, 2021. "Salience theory and stock prices: Empirical evidence," Journal of Financial Economics, Elsevier, vol. 140(2), pages 460-483.
    17. Guomei Tang & Xueyong Zhang, 2021. "Media attention to locations and the cross‐section of stock returns," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(S1), pages 2301-2336, April.
    18. Viktor Manahov, 2024. "The great crypto crash in September 2018: why did the cryptocurrency market collapse?," Annals of Operations Research, Springer, vol. 332(1), pages 579-616, January.
    19. Ma, Yao & Yang, Baochen & Su, Yunpeng, 2021. "Stock return predictability: Evidence from moving averages of trading volume," Pacific-Basin Finance Journal, Elsevier, vol. 65(C).
    20. Xiong, Xiong & Meng, Yongqiang & Joseph, Nathan Lael & Shen, Dehua, 2020. "Stock mispricing, hard-to-value stocks and the influence of internet stock message boards," International Review of Financial Analysis, Elsevier, vol. 72(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:85:y:2025:i:pa:s1544612325011237. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.