IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/29074.html
   My bibliography  Save this paper

Experience Effects in Finance: Foundations, Applications, and Future Directions

Author

Listed:
  • Ulrike Malmendier

Abstract

This article establishes four key findings of the growing literature on experience effects in finance: (1) the long-lasting imprint of past experiences on beliefs and risk taking, (2) recency effects, (3) the domain-specificity of experience effects, and (4) imperviousness to information that is not experience-based. I first discuss the neuroscientific foundations of experience-based learning and sketch a simple model of its role in the stock market based on Malmendier et al. (2020a,b). I then distill the empirical findings on experience effects in stock-market investment, trade dynamics, and international capital flows, highlighting these four key features. Finally, I contrast models of belief formation that rely on “learned information” with models accounting for the neuroscience evidence on synaptic tagging and memory formation, and provide directions for future research.

Suggested Citation

  • Ulrike Malmendier, 2021. "Experience Effects in Finance: Foundations, Applications, and Future Directions," NBER Working Papers 29074, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:29074
    Note: AP EFG ME
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w29074.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Borisova, Ekaterina & Gründler, Klaus & Hackenberger, Armin & Harter, Anina & Potrafke, Niklas & Schoors, Koen, 2023. "Crisis experience and the deep roots of COVID-19 vaccination preferences," European Economic Review, Elsevier, vol. 160(C).
    2. Dekeyser, Simon & He, Xianjie & Xiao, Tusheng & Zuo, Luo, 2024. "Auditor industry range and audit quality," Journal of Accounting and Economics, Elsevier, vol. 77(2).
    3. Gai, Prasanna & Haworth, Cameron, 2023. "Macroprudential policymakers with cautious expectations," Economics Letters, Elsevier, vol. 229(C).
    4. Francesco Bogliacino & Cristiano Codagnone & Frans Folkvord & Francisco Lupiáñez-Villanueva, 2023. "The impact of labour market shocks on mental health: evidence from the Covid-19 first wave," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(3), pages 899-930, October.
    5. Bachmann, Kremena & Meyer, Julia & Krauss, Annette, 2024. "Investment motives and performance expectations of impact investors," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    6. Noor Kumar & Uyseok Lee & Matt Lowe & Olaitan Ogunnote & Matthew Lowe, 2024. "Internal Versus Institutional Barriers to Gender Equality: Evidence from British Politics," CESifo Working Paper Series 11358, CESifo.
    7. Luo, Deming & Yao, Zhongwei & Zhu, Yanjian, 2022. "Bubble-crash experience and investment styles of mutual fund managers," Journal of Corporate Finance, Elsevier, vol. 76(C).
    8. Bianchi, Milo & Liu, Zhengkai & Wang, Gang, 2022. "Are We Becoming Greener? Life-time Experiences and Responsible Investment," TSE Working Papers 22-1382, Toulouse School of Economics (TSE).
    9. Happel, Jonas & Karabulut, Yigitcan & Schäfer, Larissa & Tüzel, Şelale, 2024. "Shattered housing," Journal of Financial Economics, Elsevier, vol. 156(C).
    10. Kiesl-Reiter, Sarah, 2024. "Subjective Expectations about Joint Return Distributions," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302423, Verein für Socialpolitik / German Economic Association.
    11. Attema, Arthur E. & Galizzi, Matteo M. & Groß, Mona & Hennig-Schmidt, Heike & Karay, Yassin & L’Haridon, Olivier & Wiesen, Daniel, 2023. "The formation of physician altruism," Journal of Health Economics, Elsevier, vol. 87(C).
    12. Duffy, John & Shin, Michael, 2024. "Heterogeneous experience and constant-gain learning," Journal of Economic Dynamics and Control, Elsevier, vol. 164(C).
    13. Oehler, Andreas & Horn, Matthias, 2024. "Does ChatGPT provide better advice than robo-advisors?," Finance Research Letters, Elsevier, vol. 60(C).
    14. Detemple, Julian, 2024. "Thoughts about the dictator and trust game," SAFE Working Paper Series 422, Leibniz Institute for Financial Research SAFE.

    More about this item

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics
    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E7 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G4 - Financial Economics - - Behavioral Finance

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbr:nberwo:29074. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .

    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.