IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v69y2024ipas154461232401170x.html
   My bibliography  Save this article

Small price bias in the cryptocurrency market. A cognitive bias revealed by emotions on social networks

Author

Listed:
  • García Londoño, Adriana
  • Alonso Díaz, Santiago

Abstract

Cognitive biases influence cryptocurrency market outcomes. Of relevance for this work, investors react variably to low-priced cryptocurrencies, evident in market outcomes like volatility. We investigate whether low prices also drive emotional responses on Twitter. Results show emotions align with price levels, with stronger reactions to lower prices. We conclude that small prices affect investor emotions.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:finlet:v:69:y:2024:i:pa:s154461232401170x
    DOI: 10.1016/j.frl.2024.106141
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S154461232401170X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2024.106141?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Robert J. Shiller, 2015. "Irrational Exuberance," Economics Books, Princeton University Press, edition 3, number 10421.
    2. Antonis Ballis & Thanos Verousis, 2022. "Behavioural finance and cryptocurrencies," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 14(4), pages 545-562, June.
    3. Roger, Tristan & Roger, Patrick & Schatt, Alain, 2018. "Behavioral bias in number processing: Evidence from analysts’ expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 149(C), pages 315-331.
    4. Métais, Carole & Roger, Tristan, 2022. "Are retail investors less aggressive on small price stocks?," Journal of Financial Markets, Elsevier, vol. 59(PA).
    5. Caferra, Rocco, 2020. "Good vibes only: The crypto-optimistic behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 28(C).
    6. Aloosh, Arash & Ouzan, Samuel, 2020. "The psychology of cryptocurrency prices," Finance Research Letters, Elsevier, vol. 33(C).
    7. Dirk G. Baur & Thomas Dimpfl, 2021. "The volatility of Bitcoin and its role as a medium of exchange and a store of value," Empirical Economics, Springer, vol. 61(5), pages 2663-2683, November.
    8. Newey, Whitney & West, Kenneth, 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.
    9. Chan, Konan & Li, Fengfei & Lin, Ji-Chai & Lin, Tse-Chun, 2017. "What do stock price levels tell us about the firms?," Journal of Corporate Finance, Elsevier, vol. 46(C), pages 34-50.
    10. Zhang, Jiahang & Zhang, Chi, 2022. "Do cryptocurrency markets react to issuer sentiments? Evidence from Twitter," Research in International Business and Finance, Elsevier, vol. 61(C).
    11. Joseph Engelberg & Christopher A. Parsons, 2016. "Worrying about the Stock Market: Evidence from Hospital Admissions," Journal of Finance, American Finance Association, vol. 71(3), pages 1227-1250, June.
    Full references (including those not matched with items on IDEAS)

    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. Takeshi Inuduka & Akihito Yokose & Shunsuke Managi, 2024. "Influencing cryptocurrency: analyzing celebrity sentiments on X (formerly Twitter) and their impact on bitcoin prices," Digital Finance, Springer, vol. 6(3), pages 379-426, September.
    2. Andrea Ajello & Diego Silva & Travis Adams & Francisco Vazquez-Grande, 2023. "More than Words: Twitter Chatter and Financial Market Sentiment," Finance and Economics Discussion Series 2023-034, Board of Governors of the Federal Reserve System (U.S.).
    3. Haykir, Ozkan & Yagli, Ibrahim & Aktekin Gok, Emine Dilara & Budak, Hilal, 2022. "Oil price explosivity and stock return: Do sector and firm size matter?," Resources Policy, Elsevier, vol. 78(C).
    4. Lin William Cong & Xi Li & Ke Tang & Yang Yang, 2023. "Crypto Wash Trading," Management Science, INFORMS, vol. 69(11), pages 6427-6454, November.
    5. Barnes, Spencer, 2021. "Killing in the stock market: Evidence from organ donations," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    6. Borsboom, Charlotte & Füllbrunn, Sascha, 2021. "Stock Price Level Effect," MPRA Paper 109286, University Library of Munich, Germany.
    7. 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).
    8. Siganos, Antonios, 2022. "Does the stock market influence investor everyday decisions? The case of parking violations," International Review of Financial Analysis, Elsevier, vol. 82(C).
    9. Franz, Thorsten, 2019. "Monetary policy, housing, and collateral constraints," Discussion Papers 02/2019, Deutsche Bundesbank.
    10. Chhatwani, Malvika & Parija, Arpit Kumar, 2023. "Who invests in cryptocurrency? The role of overconfidence among American investors," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    11. Alex Ilek & Tanya Suchoy & Nir Klein, 2006. "Estimating the premium implicit in the yields of Treasury Bills," Israel Economic Review, Bank of Israel, vol. 4(2), pages 53-83.
    12. 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.
    13. Narayan, Seema & Narayan, Paresh Kumar & Tobing, Lutzardo, 2021. "Has tourism influenced Indonesia’s current account?," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 225-237.
    14. Stephen Brown & William Goetzmann & Bing Liang & Christopher Schwarz, 2008. "Mandatory Disclosure and Operational Risk: Evidence from Hedge Fund Registration," Journal of Finance, American Finance Association, vol. 63(6), pages 2785-2815, December.
    15. Aslanidis, Nektarios & Christiansen, Charlotte, 2012. "Smooth transition patterns in the realized stock–bond correlation," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 454-464.
    16. Croce, M.M. & Nguyen, Thien T. & Raymond, S. & Schmid, L., 2019. "Government debt and the returns to innovation," Journal of Financial Economics, Elsevier, vol. 132(3), pages 205-225.
    17. Cho, Guedae & Kim, MinKyoung & Koo, Won W., 2003. "Relative Agricultural Price Changes In Different Time Horizons," 2003 Annual meeting, July 27-30, Montreal, Canada 22249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Bansal, Ravi & Kiku, Dana & Yaron, Amir, 2016. "Risks for the long run: Estimation with time aggregation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 52-69.
    19. Antonio Rubia & Trino-Manuel Ñíguez, 2006. "Forecasting the conditional covariance matrix of a portfolio under long-run temporal dependence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 439-458.
    20. David Hirshleifer & Danling Jiang, 2010. "A Financing-Based Misvaluation Factor and the Cross-Section of Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3401-3436.

    More about this item

    Keywords

    Behavioral Finance; Information; knowledge; and uncertainty; Role and effects of psychological; emotional; social; and cognitive factors on decision making; Cryptocurrencies; Small price bias; Cognitive biases; Number cognition;
    All these keywords.

    JEL classification:

    • G4 - Financial Economics - - Behavioral Finance
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    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:69:y:2024:i:pa:s154461232401170x. 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.