IDEAS home Printed from https://ideas.repec.org/a/pal/gpprii/v50y2025i1d10.1057_s41288-024-00335-y.html
   My bibliography  Save this article

Risk attitudes towards on-demand insurance: an experimental study

Author

Listed:
  • Hsiaoyin Chang

    (University of St. Gallen)

  • Hato Schmeiser

    (University of St. Gallen)

Abstract

On-demand insurance products cover risks for short periods of time via a smartphone or other electronic device. Such insurance contracts give policyholders the freedom to choose when to be insured in a flexible way. On-demand contracts may change the way risk is perceived. Therefore, we conduct an experiment and show that individuals can become exceptionally risk-averse when offered short-term insurance. We show two main reasons for this result: first, the underlying risk is often overestimated by the subjects due to a miscalculation of the loss probabilities. Second, the shorter valuation horizon of on-demand insurance contracts leads to myopic loss aversion.

Suggested Citation

  • Hsiaoyin Chang & Hato Schmeiser, 2025. "Risk attitudes towards on-demand insurance: an experimental study," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 50(1), pages 106-141, January.
  • Handle: RePEc:pal:gpprii:v:50:y:2025:i:1:d:10.1057_s41288-024-00335-y
    DOI: 10.1057/s41288-024-00335-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41288-024-00335-y
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1057/s41288-024-00335-y?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. Matthew Rabin & Richard H. Thaler, 2013. "Anomalies: Risk aversion," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 27, pages 467-480, World Scientific Publishing Co. Pte. Ltd..
    2. Kunreuther, Howard & Pauly, Mark, 2006. "Insurance Decision-Making and Market Behavior," Foundations and Trends(R) in Microeconomics, now publishers, vol. 1(2), pages 63-127, April.
    3. Bellemare, Charles & Krause, Michaela & Kroger, Sabine & Zhang, Chendi, 2005. "Myopic loss aversion: Information feedback vs. investment flexibility," Economics Letters, Elsevier, vol. 87(3), pages 319-324, June.
    4. Thaler, Richard, 1981. "Some empirical evidence on dynamic inconsistency," Economics Letters, Elsevier, vol. 8(3), pages 201-207.
    5. Jules van Binsbergen & Michael Brandt & Ralph Koijen, 2012. "On the Timing and Pricing of Dividends," American Economic Review, American Economic Association, vol. 102(4), pages 1596-1618, June.
    6. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    7. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 631-645.
    8. Botzen, W.J. Wouter & de Boer, Joop & Terpstra, Teun, 2013. "Framing of risk and preferences for annual and multi-year flood insurance," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 357-375.
    9. Gneezy, U. & Kapteyn, A. & Potters, J.J.M., 2003. "Evaluation periods and asset prices in a market experience," Other publications TiSEM 55910884-79d7-483c-abbb-1, Tilburg University, School of Economics and Management.
    10. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    11. Richard H. Thaler & Amos Tversky & Daniel Kahneman & Alan Schwartz, 1997. "The Effect of Myopia and Loss Aversion on Risk Taking: An Experimental Test," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 647-661.
    12. Eisenbach, Thomas M. & Schmalz, Martin C., 2016. "Anxiety in the face of risk," Journal of Financial Economics, Elsevier, vol. 121(2), pages 414-426.
    13. repec:bla:jfinan:v:58:y:2003:i:2:p:821-838 is not listed on IDEAS
    14. Nicholas Barberis, 2013. "The Psychology of Tail Events: Progress and Challenges," American Economic Review, American Economic Association, vol. 103(3), pages 611-616, May.
    15. Howard Kunreuther & Erwann Michel-Kerjan, 2015. "Demand for fixed-price multi-year contracts: Experimental evidence from insurance decisions," Journal of Risk and Uncertainty, Springer, vol. 51(2), pages 171-194, October.
    16. Uri Gneezy & Arie Kapteyn & Jan Potters, 2003. "Evaluation Periods and Asset Prices in a Market Experiment," Journal of Finance, American Finance Association, vol. 58(2), pages 821-837, April.
    17. Read, Daniel, 2001. "Is Time-Discounting Hyperbolic or Subadditive?," Journal of Risk and Uncertainty, Springer, vol. 23(1), pages 5-32, July.
    18. Johnson, Eric J & Hershey, John & Meszaros, Jacqueline & Kunreuther, Howard, 1993. "Framing, Probability Distortions, and Insurance Decisions," Journal of Risk and Uncertainty, Springer, vol. 7(1), pages 35-51, August.
    19. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    20. Mohammed Abdellaoui & Enrico Diecidue & Ayse Öncüler, 2011. "Risk Preferences at Different Time Periods: An Experimental Investigation," Management Science, INFORMS, vol. 57(5), pages 975-987, May.
    21. repec:tiu:tiucen:200432 is not listed on IDEAS
    22. repec:dgr:kubcen:200432 is not listed on IDEAS
    23. Charles Noussair & Ping Wu, 2006. "Risk tolerance in the present and the future: an experimental study," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 401-412.
    24. Shereen J. Chaudhry & Michael Hand & Howard Kunreuther, 2020. "Broad Bracketing for Low Probability Events," NBER Working Papers 27319, National Bureau of Economic Research, Inc.
    25. Denwood, Matthew J., 2016. "runjags: An R Package Providing Interface Utilities, Model Templates, Parallel Computing Methods and Additional Distributions for MCMC Models in JAGS," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 71(i09).
    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. Thomas Epper & Helga Fehr-Duda, 2012. "The missing link: unifying risk taking and time discounting," ECON - Working Papers 096, Department of Economics - University of Zurich, revised Oct 2018.
    2. Epper, Thomas & Fehr-Duda, Helga, 2017. "A Tale of Two Tails: On the Coexistence of Overweighting and Underweighting of Rare Extreme Events," Economics Working Paper Series 1705, University of St. Gallen, School of Economics and Political Science.
    3. Neszveda, G., 2019. "Essays on behavioral finance," Other publications TiSEM 05059039-5236-42a3-be1b-3, Tilburg University, School of Economics and Management.
    4. Gerlinde Fellner & Matthias Sutter, 2009. "Causes, Consequences, and Cures of Myopic Loss Aversion – An Experimental Investigation," Economic Journal, Royal Economic Society, vol. 119(537), pages 900-916, April.
    5. Schwaiger, Rene & Hueber, Laura, 2021. "Do MTurkers exhibit myopic loss aversion?," Economics Letters, Elsevier, vol. 209(C).
    6. Lee, Boram & Veld-Merkoulova, Yulia, 2016. "Myopic loss aversion and stock investments: An empirical study of private investors," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 235-246.
    7. Glätzle-Rützler, Daniela & Sutter, Matthias & Zeileis, Achim, 2015. "No myopic loss aversion in adolescents? – An experimental note," Journal of Economic Behavior & Organization, Elsevier, vol. 111(C), pages 169-176.
    8. John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian, 2017. "Does Aggregated Returns Disclosure Increase Portfolio Risk Taking?," The Review of Financial Studies, Society for Financial Studies, vol. 30(6), pages 1971-2005.
    9. Hopfensitz, Astrid & Wranik, Tanja, 2008. "Psychological and environmental determinants of myopic loss aversion," MPRA Paper 9305, University Library of Munich, Germany.
    10. van Dolder, Dennie & Vandenbroucke, Jurgen, 2024. "Behavioral risk profiling: Measuring loss aversion of individual investors," Journal of Banking & Finance, Elsevier, vol. 168(C).
    11. Clayton Arlen Looney & Andrew M. Hardin, 2009. "Decision Support for Retirement Portfolio Management: Overcoming Myopic Loss Aversion via Technology Design," Management Science, INFORMS, vol. 55(10), pages 1688-1703, October.
    12. Hueber, Laura & Schwaiger, Rene, 2022. "Debiasing through experience sampling: The case of myopic loss aversion," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 87-138.
    13. Rene Schwaiger & Laura Hueber, 2021. "Do MTurkers Exhibit Myopic Loss Aversion?," Working Papers 2021-12, Faculty of Economics and Statistics, Universität Innsbruck.
    14. Emily Haisley & Romel Mostafa & George Loewenstein, 2008. "Myopic risk-seeking: The impact of narrow decision bracketing on lottery play," Journal of Risk and Uncertainty, Springer, vol. 37(1), pages 57-75, August.
    15. Haim Levy & Moshe Levy, 2021. "Prospect theory, constant relative risk aversion, and the investment horizon," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-21, April.
    16. Sutter, Matthias, 2007. "Are teams prone to myopic loss aversion? An experimental study on individual versus team investment behavior," Economics Letters, Elsevier, vol. 97(2), pages 128-132, November.
    17. Kazi Iqbal & Asad Islam & John List & Vy Nguyen, 2021. "Myopic Loss Aversion and Investment Decisions: From the Laboratory to the Field," Framed Field Experiments 000730, The Field Experiments Website.
    18. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    19. Thomas Epper & Helga Fehr-Duda & Adrian Bruhin, 2011. "Viewing the future through a warped lens: Why uncertainty generates hyperbolic discounting," Journal of Risk and Uncertainty, Springer, vol. 43(3), pages 169-203, December.
    20. Borsboom, Charlotte & Janssen, Dirk-Jan & Strucks, Markus & Zeisberger, Stefan, 2022. "History matters: How short-term price charts hurt investment performance," Journal of Banking & Finance, Elsevier, vol. 134(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:pal:gpprii:v:50:y:2025:i:1:d:10.1057_s41288-024-00335-y. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.