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Insurance Supervision under Climate Change: A Pioneers Detection Method

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  • Eric Vansteenberghe

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

I present the Pioneers Detection Method, a supervisory tool I developed to enhance resilience in insurance markets facing the challenges posed by climate change. Based on a theoretical model of the insurance industry, I consider a scenario in which independent experts determine premiums according to their individual risk assessments. Due to the segmented nature of the private insurance market, accurately estimating the tail parameter of loss distribution is difficult, especially given the rarity of extreme events. My method leverages temporal directional change and convergence to integrate expert opinions, giving greater emphasis to those who effectively identify trend shifts after climatic tipping points. A series of simulations reveals that the Pioneers Detection Method outperforms traditional pooling methods within a Bayesian framework. Furthermore, this approach appears to be notably effective in improving welfare in an insurance market with a limited number of private entities.

Suggested Citation

  • Eric Vansteenberghe, 2023. "Insurance Supervision under Climate Change: A Pioneers Detection Method," PSE Working Papers halshs-04350178, HAL.
    • Handle: RePEc:hal:psewpa:halshs-04350178
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-04350178v1
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    1. Markus K. Brunnermeier & Alp Simsek & Wei Xiong, 2014. "A Welfare Criterion For Models With Distorted Beliefs," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(4), pages 1753-1797.
    2. Helmut Lütkepohl, 2005. "New Introduction to Multiple Time Series Analysis," Springer Books, Springer, number 978-3-540-27752-1, March.
    3. Chi, Yichun, 2019. "On The Optimality Of A Straight Deductible Under Belief Heterogeneity," ASTIN Bulletin, Cambridge University Press, vol. 49(1), pages 243-262, January.
    4. Peter Ditlevsen & Susanne Ditlevsen, 2023. "Warning of a forthcoming collapse of the Atlantic meridional overturning circulation," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    5. Hogg, Robert V. & Klugman, Stuart A., 1983. "On the estimation of long tailed skewed distributions with actuarial applications," Journal of Econometrics, Elsevier, vol. 23(1), pages 91-102, September.
    6. Kunreuther, Howard, 1996. "Mitigating Disaster Losses through Insurance," Journal of Risk and Uncertainty, Springer, vol. 12(2-3), pages 171-187, May.
    7. Berger, Lawrence A & Cummins, J David & Tennyson, Sharon, 1992. "Reinsurance and the Liability Insurance Crisis," Journal of Risk and Uncertainty, Springer, vol. 5(3), pages 253-272, July.
    8. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    9. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    10. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    11. Stefano Battiston & Antoine Mandel & Irene Monasterolo & Franziska Schütze & Gabriele Visentin, 2017. "A climate stress-test of the financial system," Nature Climate Change, Nature, vol. 7(4), pages 283-288, April.
    12. Dimpfl, Thomas & Peter, Franziska J., 2014. "The impact of the financial crisis on transatlantic information flows: An intraday analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 1-13.
    13. Guillaume Plantin, 2006. "Does Reinsurance Need Reinsurers?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 73(1), pages 153-168, March.
    14. P. Zea Bermudez & M. Turkman, 2003. "Bayesian approach to parameter estimation of the generalized pareto distribution," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(1), pages 259-277, June.
    15. Kangoh Lee, 2017. "Consumer perception, information provision, and regulation of insurance markets," Journal of Regulatory Economics, Springer, vol. 51(1), pages 1-17, February.
    16. Hasbrouck, Joel, 1995. "One Security, Many Markets: Determining the Contributions to Price Discovery," Journal of Finance, American Finance Association, vol. 50(4), pages 1175-1199, September.
    17. Jean-Jacques Laffont & Jean Tirole, 1993. "A Theory of Incentives in Procurement and Regulation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121743, December.
    18. Kristin J. Forbes & Roberto Rigobon, 2002. "No Contagion, Only Interdependence: Measuring Stock Market Comovements," Journal of Finance, American Finance Association, vol. 57(5), pages 2223-2261, October.
    19. Min, Chung-ki & Zellner, Arnold, 1993. "Bayesian and non-Bayesian methods for combining models and forecasts with applications to forecasting international growth rates," Journal of Econometrics, Elsevier, vol. 56(1-2), pages 89-118, March.
    20. Adrian E. Raftery & Alec Zimmer & Dargan M. W. Frierson & Richard Startz & Peiran Liu, 2017. "Less than 2 °C warming by 2100 unlikely," Nature Climate Change, Nature, vol. 7(9), pages 637-641, September.
    21. Alexander J. McNeil & Rüdiger Frey & Paul Embrechts, 2015. "Quantitative Risk Management: Concepts, Techniques and Tools Revised edition," Economics Books, Princeton University Press, edition 2, number 10496.
    22. Winter Ralph A., 1994. "The Dynamics of Competitive Insurance Markets," Journal of Financial Intermediation, Elsevier, vol. 3(4), pages 379-415, September.
    23. David Hirshleifer & Siew Hong Teoh, 2003. "Herd Behaviour and Cascading in Capital Markets: a Review and Synthesis," European Financial Management, European Financial Management Association, vol. 9(1), pages 25-66, March.
    24. Rothschild, Michael & Stiglitz, Joseph E., 1970. "Increasing risk: I. A definition," Journal of Economic Theory, Elsevier, vol. 2(3), pages 225-243, September.
    25. Mario Ghossoub, 2017. "Arrow's Theorem of the Deductible with Heterogeneous Beliefs," North American Actuarial Journal, Taylor & Francis Journals, vol. 21(1), pages 15-35, January.
    26. Kousky, Carolyn, 2014. "Informing climate adaptation: A review of the economic costs of natural disasters," Energy Economics, Elsevier, vol. 46(C), pages 576-592.
    27. Nicholas Stern, 2008. "The Economics of Climate Change," American Economic Review, American Economic Association, vol. 98(2), pages 1-37, May.
    28. Mark W. Watson & James H. Stock, 2004. "Combination forecasts of output growth in a seven-country data set," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(6), pages 405-430.
    29. Andreas Richter & Thomas C. Wilson, 2020. "Covid-19: implications for insurer risk management and the insurability of pandemic risk," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 171-199, September.
    30. Helmut Gründl & Danjela Guxha & Anastasia Kartasheva & Hato Schmeiser, 2021. "Insurability of pandemic risks," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(4), pages 863-902, December.
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    1. Henri Fraisse & Christophe Hurlin, 2024. "Modèles internes des banques pour le calcul du capital réglementaire (IRB) et intelligence artificielle," Débats Economiques et financiers 44, Banque de France.

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    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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