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Main Determinants of Profit-Sharing Policy in the French Life Insurance Industry

Author

Listed:
  • Fabrice Borel-Mathurin

    (ACPR - Autorité de Contrôle Prudentiel et de Résolution - Autorité de Contrôle Prudentiel et de Résolution)

  • Pierre-Emmanuel Darpeix

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

  • Quentin Guibert

    (SAF - Laboratoire de Sciences Actuarielle et Financière - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon)

  • Stéphane Loisel

    (SAF - Laboratoire de Sciences Actuarielle et Financière - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon)

Abstract

We use a brand new data-set built from French supervisory reports to investigate the drivers of the participation rates served on euro-denominated life-insurance contracts over the period 1999-2013. Our analysis confirms practitioners' insight on the alignment with the 10-years French government bond, yet we show that on aggregate, insurers serve less than this target. Our data indicate that financial margins are more strictly targeted than participation. We find evidence that lapses are fairly uncorrelated with participation, suggesting other levers to pilot surrenders. If higher asset returns can imply better yield for policyholders, riskier portfolios do not translate into better participation
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Fabrice Borel-Mathurin & Pierre-Emmanuel Darpeix & Quentin Guibert & Stéphane Loisel, 2018. "Main Determinants of Profit-Sharing Policy in the French Life Insurance Industry," Post-Print hal-01955047, HAL.
    • Handle: RePEc:hal:journl:hal-01955047
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    References listed on IDEAS

    as
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    Full references (including those not matched with items on IDEAS)

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    Cited by:

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    2. Bravo, Jorge Miguel & El Mekkaoui de Freitas, Najat, 2018. "Valuation of longevity-linked life annuities," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 212-229.
    3. Chen, Shi & Zhao, Yonghong & Huang, Fu-Wei & Wang, Bin & Lin, Jyh-Horng, 2024. "Carbon leakage perspective: Unveiling policy dilemmas in emission trading and carbon tariffs under insurer green finance," Energy Economics, Elsevier, vol. 130(C).
    4. Srbinoski Bojan & Strozzi Fernanda & Poposki Klime & Born Patricia H., 2020. "Trends in Life Insurance Demand and Lapse Literature," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 14(2), pages 1-46, July.
    5. Stéphane Loisel, 2014. "Reevaluation of the capital charge in insurance after a large shock: empirical and theoretical views," Post-Print hal-02013669, HAL.
    6. Cyril Pouvelle., 2022. "An Analysis of Financial Conglomerate Resilience: A Perspective on bancassurance in France [Une analyse de la résilience des conglomérats financiers : Une perspective sur la bancassurance en France," Débats économiques et financiers 39, Banque de France.
    7. Berdin, Elia & Pancaro, Cosimo & Kok Sørensen, Christoffer, 2016. "A stochastic forward-looking model to assess the profitability and solvency of European insurers," SAFE Working Paper Series 137, Leibniz Institute for Financial Research SAFE, revised 2016.
    8. Henri Fraisse & Christophe Hurlin, 2024. "Modèles internes des banques pour le calcul du capital réglementaire (IRB) et intelligence artificielle," Débats économiques et financiers 44, Banque de France.
    9. Aur'elien Alfonsi & Adel Cherchali & Jose Arturo Infante Acevedo, 2019. "A full and synthetic model for Asset-Liability Management in life insurance, and analysis of the SCR with the standard formula," Papers 1908.00811, arXiv.org.
    10. Eric Monnet, & Angelo Riva, & Stefano Ungaro., 2021. "The Real Effects of Bank Runs. Evidence from the French Great Depression (1930-1931) [Les effets réels des ruées bancaires : l’exemple de la Grande Dépression en France (1930-1931)]," Débats économiques et financiers 37, Banque de France.
    11. B. Camara & F.-D. Castellani & H. Fraisse & L. Frey & C. Héam & L. Labonne & V. Martin, 2015. "MERCURE : A Macroprudential Stress Testing Model developed at the ACPR," Débats économiques et financiers 19, Banque de France.
    12. J. Hombert & V. Lyonnet, 2017. "Intergenerational Risk Sharing in Life Insurance: Evidence from France," Débats économiques et financiers 30, Banque de France.

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    More about this item

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E49 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Other

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