IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-05131343.html
   My bibliography  Save this paper

Can Information Shape Macroeconomic Disaster Risk Perception and Stimulate Investment? An Experiment with Experts and Laypersons

Author

Listed:
  • Brice Corgnet

    (EM - EMLyon Business School, GATE - Groupe d'analyse et de théorie économique - UL2 - Université Lumière - Lyon 2 - ENS LSH - Ecole Normale Supérieure Lettres et Sciences Humaines - CNRS - Centre National de la Recherche Scientifique)

  • Camille Cornand

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - UL2 - Université Lumière - Lyon 2 - UJM - Université Jean Monnet - Saint-Étienne - EM - EMLyon Business School - CNRS - Centre National de la Recherche Scientifique, CNRS - Centre National de la Recherche Scientifique)

  • Pauline Gandré

    (CNRS, EconomiX, Université Paris Nanterre, 92001 Nanterre)

Abstract

Macroeconomic disasters are low-probability events with severe economic and financial consequences. Using a survey experiment with both finance experts and laypersons, we conduct the first incentivized elicitation of beliefs about macroeconomic disaster risk and subsequent investment in risky financial assets. Our findings indicate that, consistent with the systematic overweighting of recent disasters, both laypersons and finance experts overestimate disaster risk, leading to underinvestment in our portfolio task. However, we find that communicating historical information about the frequency of macroeconomic disasters helps to correct misperceptions of this frequency and stimulate investment. Although participants adjust their beliefs in the expected direction, they fail to react to the precision of information while, in the case of laypersons, reacting to the salience of information. Our findings offer practical guidelines for effective communication by financial institutions and show that they depend on the financial expertise of the target population.

Suggested Citation

  • Brice Corgnet & Camille Cornand & Pauline Gandré, 2025. "Can Information Shape Macroeconomic Disaster Risk Perception and Stimulate Investment? An Experiment with Experts and Laypersons," Working Papers hal-05131343, HAL.
  • Handle: RePEc:hal:wpaper:hal-05131343
    Note: View the original document on HAL open archive server: https://hal.science/hal-05131343v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-05131343v1/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Andrew Royal, 2017. "Dynamics in risk taking with a low-probability hazard," Journal of Risk and Uncertainty, Springer, vol. 55(1), pages 41-69, August.
    2. Adam Booij & Bernard Praag & Gijs Kuilen, 2010. "A parametric analysis of prospect theory’s functionals for the general population," Theory and Decision, Springer, vol. 68(1), pages 115-148, February.
    3. Stefanie Stantcheva, 2023. "How to Run Surveys: A Guide to Creating Your Own Identifying Variation and Revealing the Invisible," Annual Review of Economics, Annual Reviews, vol. 15(1), pages 205-234, September.
    4. Pedro Bordalo & Nicola Gennaioli & Yueran Ma & Andrei Shleifer, 2020. "Overreaction in Macroeconomic Expectations," American Economic Review, American Economic Association, vol. 110(9), pages 2748-2782, September.
    5. Huber, Christoph & Huber, Jürgen & Kirchler, Michael, 2021. "Market shocks and professionals’ investment behavior – Evidence from the COVID-19 crash," Journal of Banking & Finance, Elsevier, vol. 133(C).
    6. Michael S. Haigh & John A. List, 2005. "Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis," Journal of Finance, American Finance Association, vol. 60(1), pages 523-534, February.
    7. Hui Chen & Scott Joslin & Ngoc-Khanh Tran, 2012. "Rare Disasters and Risk Sharing with Heterogeneous Beliefs," The Review of Financial Studies, Society for Financial Studies, vol. 25(7), pages 2189-2224.
    8. 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.
    9. Raj Chetty, 2006. "A New Method of Estimating Risk Aversion," American Economic Review, American Economic Association, vol. 96(5), pages 1821-1834, December.
    10. Tanjim Hossain & Ryo Okui, 2013. "The Binarized Scoring Rule," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(3), pages 984-1001.
    11. Booij, Adam S. & van de Kuilen, Gijs, 2009. "A parameter-free analysis of the utility of money for the general population under prospect theory," Journal of Economic Psychology, Elsevier, vol. 30(4), pages 651-666, August.
    12. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Asset Prices," American Economic Review, American Economic Association, vol. 103(3), pages 623-628, May.
    13. Pierre Collin-Dufresne & Michael Johannes & Lars A. Lochstoer, 2016. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," American Economic Review, American Economic Association, vol. 106(3), pages 664-698, March.
    14. Keane, Michael P & Runkle, David E, 1990. "Testing the Rationality of Price Forecasts: New Evidence from Panel Data," American Economic Review, American Economic Association, vol. 80(4), pages 714-735, September.
    15. Olivier Coibion & Yuriy Gorodnichenko, 2012. "What Can Survey Forecasts Tell Us about Information Rigidities?," Journal of Political Economy, University of Chicago Press, vol. 120(1), pages 116-159.
    16. Alain Cohn & Jan Engelmann & Ernst Fehr & Michel André Maréchal, 2015. "Evidence for Countercyclical Risk Aversion: An Experiment with Financial Professionals," American Economic Review, American Economic Association, vol. 105(2), pages 860-885, February.
    17. Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2023. "Designing Information Provision Experiments," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 3-40, March.
    18. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2018. "Diagnostic Expectations and Credit Cycles," Journal of Finance, American Finance Association, vol. 73(1), pages 199-227, February.
    19. Smith, Vernon L, 1991. "Rational Choice: The Contrast between Economics and Psychology," Journal of Political Economy, University of Chicago Press, vol. 99(4), pages 877-897, August.
    20. Robert J. Barro, 2006. "Rare Disasters and Asset Markets in the Twentieth Century," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 823-866.
    21. Oechssler, Jörg & Roider, Andreas & Schmitz, Patrick W., 2009. "Cognitive abilities and behavioral biases," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 147-152, October.
    22. George P Gao & Pengjie Gao & Zhaogang Song, 2018. "Do Hedge Funds Exploit Rare Disaster Concerns?," The Review of Financial Studies, Society for Financial Studies, vol. 31(7), pages 2650-2692.
    23. Furnham, Adrian & Boo, Hua Chu, 2011. "A literature review of the anchoring effect," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(1), pages 35-42, February.
    24. 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.
    25. Greg Barron & Eldad Yechiam, 2009. "The coexistence of overestimation and underweighting of rare events and the contingent recency effect," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(6), pages 447-460, October.
    26. Tobin Hanspal & Annika Weber & Johannes Wohlfart, 2021. "Exposure to the COVID-19 Stock Market Crash and Its Effect on Household Expectations," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 994-1010, December.
    27. Xavier Gabaix, 2012. "Variable Rare Disasters: An Exactly Solved Framework for Ten Puzzles in Macro-Finance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(2), pages 645-700.
    28. Beutel, Johannes & Metiu, Norbert & Stockerl, Valentin, 2021. "Toothless tiger with claws? Financial stability communication, expectations, and risk-taking," Journal of Monetary Economics, Elsevier, vol. 120(C), pages 53-69.
    29. Francois Gourio, 2012. "Disaster Risk and Business Cycles," American Economic Review, American Economic Association, vol. 102(6), pages 2734-2766, October.
    30. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Information Rigidity and the Expectations Formation Process: A Simple Framework and New Facts," American Economic Review, American Economic Association, vol. 105(8), pages 2644-2678, August.
    31. Mehra, Rajnish & Prescott, Edward C., 1985. "The equity premium: A puzzle," Journal of Monetary Economics, Elsevier, vol. 15(2), pages 145-161, March.
    32. repec:cup:judgdm:v:4:y:2009:i:6:p:447-460 is not listed on IDEAS
    33. Hansen, Lars Peter & Singleton, Kenneth J, 1983. "Stochastic Consumption, Risk Aversion, and the Temporal Behavior of Asset Returns," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 249-265, April.
    34. Smith, Vernon L, 1982. "Microeconomic Systems as an Experimental Science," American Economic Review, American Economic Association, vol. 72(5), pages 923-955, December.
    35. Henry Stott, 2006. "Cumulative prospect theory's functional menagerie," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 101-130, March.
    36. Robert J. Barro, 2009. "Rare Disasters, Asset Prices, and Welfare Costs," American Economic Review, American Economic Association, vol. 99(1), pages 243-264, March.
    37. Hui Chen & Scott Joslin & Ngoc-Khanh Tran, 2010. "Affine Disagreement and Asset Pricing," American Economic Review, American Economic Association, vol. 100(2), pages 522-526, May.
    38. Alain Cohn & Ernst Fehr & Michel André Maréchal, 2014. "Business culture and dishonesty in the banking industry," Nature, Nature, vol. 516(7529), pages 86-89, December.
    39. Adrian Bruhin & Helga Fehr-Duda & Thomas Epper, 2010. "Risk and Rationality: Uncovering Heterogeneity in Probability Distortion," Econometrica, Econometric Society, vol. 78(4), pages 1375-1412, July.
    40. Barron, Greg & Yechiam, Eldad, 2009. "The coexistence of overestimation and underweighting of rare events and the contingent recency effect," Judgment and Decision Making, Cambridge University Press, vol. 4(6), pages 447-460, October.
    41. George Wu & Richard Gonzalez, 1996. "Curvature of the Probability Weighting Function," Management Science, INFORMS, vol. 42(12), pages 1676-1690, December.
    42. Ghaderi, Mohammad & Kilic, Mete & Seo, Sang Byung, 2022. "Learning, slowly unfolding disasters, and asset prices," Journal of Financial Economics, Elsevier, vol. 143(1), pages 527-549.
    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. 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.
    2. Jonathan Chapman & Erik Snowberg & Stephanie Wang & Colin Camerer, 2018. "Loss Attitudes in the U.S. Population: Evidence from Dynamically Optimized Sequential Experimentation (DOSE)," NBER Working Papers 25072, National Bureau of Economic Research, Inc.
    3. Pagano, Marco & Wagner, Christian & Zechner, Josef, 2023. "Disaster resilience and asset prices," Journal of Financial Economics, Elsevier, vol. 150(2).
    4. Roberto Marfè & Julien Penasse, 2016. "The Time-Varying Risk of Macroeconomic Disasters," Carlo Alberto Notebooks 463, Collegio Carlo Alberto.
    5. Jerry Tsai & Jessica A. Wachter, 2015. "Disaster Risk and its Implications for Asset Pricing," NBER Working Papers 20926, National Bureau of Economic Research, Inc.
    6. Koulovatianos, Christos & Li, Jian & Weber, Fabienne, 2018. "Market fragility and the paradox of the recent stock-bond dissonance," Economics Letters, Elsevier, vol. 162(C), pages 162-166.
    7. Brice Corgnet & Camille Cornand & Nobuyuki Hanaki, 2020. "Negative Tail Events, Emotions & Risk Taking," Working Papers 2016, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    8. Lewis, Karen K. & Liu, Edith X., 2017. "Disaster risk and asset returns: An international perspective," Journal of International Economics, Elsevier, vol. 108(S1), pages 42-58.
    9. Marfè, Roberto & Pénasse, Julien, 2024. "Measuring macroeconomic tail risk," Journal of Financial Economics, Elsevier, vol. 156(C).
    10. Dietrich, Alexander M. & Kuester, Keith & Müller, Gernot J. & Schoenle, Raphael, 2022. "News and uncertainty about COVID-19: Survey evidence and short-run economic impact," Journal of Monetary Economics, Elsevier, vol. 129(S), pages 35-51.
    11. Bo Liu & Yingjie Niu & Jinqiang Yang & Zhentao Zou, 2020. "Time‐varying risk of rare disasters, investment, and asset pricing," The Financial Review, Eastern Finance Association, vol. 55(3), pages 503-524, August.
    12. Hui Chen & Winston Wei Dou & Leonid Kogan, 2024. "Measuring “Dark Matter” in Asset Pricing Models," Journal of Finance, American Finance Association, vol. 79(2), pages 843-902, April.
    13. Brice Corgnet & Camille Cornand & Nobuyuki Hanaki, 2020. "Tail events, emotions and risk taking," Working Papers halshs-02613344, HAL.
    14. Filiz-Ozbay, Emel & Guryan, Jonathan & Hyndman, Kyle & Kearney, Melissa & Ozbay, Erkut Y., 2015. "Do lottery payments induce savings behavior? Evidence from the lab," Journal of Public Economics, Elsevier, vol. 126(C), pages 1-24.
    15. Beeler, Jason & Campbell, John Y., 2012. "The Long-Run Risks Model and Aggregate Asset Prices: An Empirical Assessment," Critical Finance Review, now publishers, vol. 1(1), pages 141-182, January.
    16. Aizenman, Joshua & Noy, Ilan, 2015. "Saving and the long shadow of macroeconomic shocks," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 147-159.
    17. Isoré, Marlène & Szczerbowicz, Urszula, 2017. "Disaster risk and preference shifts in a New Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 97-125.
    18. Robert Barro, 2023. "r Minus g," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 48, pages 1-17, April.
    19. Wang, Yuanping & Mu, Congming, 2019. "Can ambiguity about rare disasters explain equity premium puzzle?," Economics Letters, Elsevier, vol. 183(C), pages 1-1.
    20. Kpegli, Yao Thibaut & Corgnet, Brice & Zylbersztejn, Adam, 2023. "All at once! A comprehensive and tractable semi-parametric method to elicit prospect theory components," Journal of Mathematical Economics, Elsevier, vol. 104(C).

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E71 - Macroeconomics and Monetary Economics - - Macro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on the Macro Economy
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:hal:wpaper:hal-05131343. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.