IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v70y2024ipbs0275531924001971.html
   My bibliography  Save this article

The knowledge domain and emerging trends in Behavioral Finance: A Scientometric Analysis

Author

Listed:
  • Hachicha, Fatma
  • Argoubi, Majdi
  • Guesmi, Khaled

Abstract

This study conducts a comprehensive knowledge mapping and scientometric analysis of Behavioral Finance research from 1990 to December 2022. By retrieving 2056 articles from Web of Science and utilizing CiteSpace for visualization, we aim to understand intellectual structures, emerging trends, research hotspots, and future trajectories in BF. The findings reveal a substantial increase in research output, with the University of California and Harvard University emerging as the most prolific institutions. Seven main research areas, including BF, risk, prospect theory, and return, were identified. A network analysis of 742 authors demonstrates collaborative dynamics, particularly intensified during crises such as the Covid-19 pandemic and the Russian Invasion of Ukraine. The study's originality lies in its temporal and dynamic analysis, providing valuable insights through co-citation and co-occurrence network analyses.

Suggested Citation

  • Hachicha, Fatma & Argoubi, Majdi & Guesmi, Khaled, 2024. "The knowledge domain and emerging trends in Behavioral Finance: A Scientometric Analysis," Research in International Business and Finance, Elsevier, vol. 70(PB).
    • Handle: RePEc:eee:riibaf:v:70:y:2024:i:pb:s0275531924001971
    DOI: 10.1016/j.ribaf.2024.102404
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531924001971
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ribaf.2024.102404?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. Malcolm Baker & Brock Mendel & Jeffrey Wurgler, 2016. "Dividends as Reference Points: A Behavioral Signaling Approach," The Review of Financial Studies, Society for Financial Studies, vol. 29(3), pages 697-738.
    2. Daniel Fonseca Costa & Francisval Carvalho & Bruno César Moreira & José Willer Prado, 2017. "Bibliometric analysis on the association between behavioral finance and decision making with cognitive biases such as overconfidence, anchoring effect and confirmation bias," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1775-1799, June.
    3. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    4. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    5. Malmendier, Ulrike & Tate, Geoffrey, 2008. "Who makes acquisitions? CEO overconfidence and the market's reaction," Journal of Financial Economics, Elsevier, vol. 89(1), pages 20-43, July.
    6. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    7. Chaomei Chen & Loet Leydesdorff, 2014. "Patterns of connections and movements in dual-map overlays: A new method of publication portfolio analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 334-351, February.
    8. Boubaker, Sabri & Goodell, John W. & Kumar, Satish & Sureka, Riya, 2023. "COVID-19 and finance scholarship: A systematic and bibliometric analysis," International Review of Financial Analysis, Elsevier, vol. 85(C).
    9. Robert J. Shiller, 2015. "Irrational Exuberance," Economics Books, Princeton University Press, edition 3, number 10421.
    10. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
    11. Syed Aliya Zahera & Rohit Bansal, 2018. "Do investors exhibit behavioral biases in investment decision making? A systematic review," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 10(2), pages 210-251, May.
    12. Daniel Fonseca Costa & Francisval de Melo Carvalho & Bruno César de Melo Moreira, 2019. "Behavioral Economics And Behavioral Finance: A Bibliometric Analysis Of The Scientific Fields," Journal of Economic Surveys, Wiley Blackwell, vol. 33(1), pages 3-24, February.
    13. Richard H. Thaler, 2008. "Commentary—Mental Accounting and Consumer Choice: Anatomy of a Failure," Marketing Science, INFORMS, vol. 27(1), pages 12-14, 01-02.
    14. Nicholas Barberis & Wei Xiong, 2009. "What Drives the Disposition Effect? An Analysis of a Long‐Standing Preference‐Based Explanation," Journal of Finance, American Finance Association, vol. 64(2), pages 751-784, April.
    15. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    16. Katz, J. Sylvan & Martin, Ben R., 1997. "What is research collaboration?," Research Policy, Elsevier, vol. 26(1), pages 1-18, March.
    17. Deshmukh, Sanjay & Goel, Anand M. & Howe, Keith M., 2013. "CEO overconfidence and dividend policy," Journal of Financial Intermediation, Elsevier, vol. 22(3), pages 440-463.
    18. Satish Kumar & Nisha Goyal, 2016. "Evidence on rationality and behavioural biases in investment decision making," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 8(4), pages 270-287, November.
    19. Brad M. Barber & Terrance Odean, 2001. "Boys will be Boys: Gender, Overconfidence, and Common Stock Investment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 261-292.
    20. Mark Grinblatt & Matti Keloharju, 2009. "Sensation Seeking, Overconfidence, and Trading Activity," Journal of Finance, American Finance Association, vol. 64(2), pages 549-578, April.
    21. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    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. Itzhak Venezia, 2018. "Lecture Notes in Behavioral Finance," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 10751, August.
    2. Prokudina, Elena & Renneboog, Luc & Tobler, Philippe, 2015. "Does Confidence Predict Out-of-Domain Effort?," Discussion Paper 2015-055, Tilburg University, Center for Economic Research.
    3. Ricardo Crisóstomo, 2021. "Estimating real‐world probabilities: A forward‐looking behavioral framework," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(11), pages 1797-1823, November.
    4. Wang, Albert Y. & Young, Michael, 2023. "Mood, attention, and household trading: Evidence from terrorist attacks," Journal of Financial Markets, Elsevier, vol. 66(C).
    5. Francisco Gomes & Michael Haliassos & Tarun Ramadorai, 2021. "Household Finance," Journal of Economic Literature, American Economic Association, vol. 59(3), pages 919-1000, September.
    6. Lin, Tse-Chun & Pursiainen, Vesa, 2023. "Gender differences in reward-based crowdfunding," Journal of Financial Intermediation, Elsevier, vol. 53(C).
    7. Helen X. H. Bao & Steven Haotong Li, 2016. "Overconfidence And Real Estate Research: A Survey Of The Literature," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(04), pages 1-24, September.
    8. Bennett, Donyetta & Mekelburg, Erik & Williams, T.H., 2023. "BeFi meets DeFi: A behavioral finance approach to decentralized finance asset pricing," Research in International Business and Finance, Elsevier, vol. 65(C).
    9. Li An & Huijun Wang & Jian Wang & Jianfeng Yu, 2020. "Lottery-Related Anomalies: The Role of Reference-Dependent Preferences," Management Science, INFORMS, vol. 66(1), pages 473-501, January.
    10. Cao, Zhiqi & Lv, Dayong & Sun, Zhenzhen, 2021. "Stock price manipulation, short-sale constraints, and breadth-return relationship," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    11. Ulrike Malmendier, 2018. "Behavioral Corporate Finance," NBER Working Papers 25162, National Bureau of Economic Research, Inc.
    12. David Hirshleife, 2015. "Behavioral Finance," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 133-159, December.
    13. Bouteska, Ahmed, 2019. "The effect of investor sentiment on market reactions to financial earnings restatements: Lessons from the United States," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    14. Gehde-Trapp, Monika & Klingler, Linda, 2022. "The effect of sentiment on institutional investors: A gender analysis," CFR Working Papers 22-08, University of Cologne, Centre for Financial Research (CFR).
    15. Montone, Maurizio, 2023. "Beta, value, and growth: Do dichotomous risk-preferences explain stock returns?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    16. Barber, Brad M. & Odean, Terrance, 2013. "The Behavior of Individual Investors," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1533-1570, Elsevier.
    17. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2021. "Investor sentiment and stock returns: Global evidence," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 365-391.
    18. Li, Zhuo & Wen, Fenghua & Huang, Zhijian James, 2023. "Asymmetric response to earnings news across different sentiment states: The role of cognitive dissonance," Journal of Corporate Finance, Elsevier, vol. 78(C).
    19. Yang, Chunpeng & Hu, Xiaoyi, 2021. "Individual stock sentiment beta and stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    20. Zaremba, Adam & Szyszka, Adam & Long, Huaigang & Zawadka, Dariusz, 2020. "Business sentiment and the cross-section of global equity returns," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).

    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:riibaf:v:70:y:2024:i:pb:s0275531924001971. 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/ribaf .

    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.