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Response of Mexican life and non-life insurers to the low interest rate environment

Author

Listed:
  • Ana M. Reyna

    (Banco Santander México)

  • Hugo J. Fuentes

    (CCM)

  • José A. Núñez

    (CCM)

Abstract

The purpose of this research is to examine whether insurers have improved their economic performance through efficiency as a reaction to the prolonged period of low interest rates. The results of an analysis of 22 years of data, using a two-stage data envelopment analysis approach (DEA), show that there is an inverse relationship between efficiency and interest rate. The non-life insurance group had a superior level of efficiency compared with that of the life insurance group. It seems that life insurance companies, to some extent, transferred their inefficiency to customers to maintain their solvency. Additionally, this research shows that companies with substantial market power and bancassurance exceeded the performance of the rest of the industry.

Suggested Citation

  • Ana M. Reyna & Hugo J. Fuentes & José A. Núñez, 2022. "Response of Mexican life and non-life insurers to the low interest rate environment," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(2), pages 409-433, April.
    • Handle: RePEc:pal:gpprii:v:47:y:2022:i:2:d:10.1057_s41288-021-00208-8
    DOI: 10.1057/s41288-021-00208-8
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    References listed on IDEAS

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    1. Cummins, J. David & Rubio-Misas, Maria, 2006. "Deregulation, Consolidation, and Efficiency: Evidence from the Spanish Insurance Industry," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(2), pages 323-355, March.
    2. Franco Fiordelisi & Ornella Ricci, 2011. "Bancassurance efficiency gains: evidence from the Italian banking and insurance industries," The European Journal of Finance, Taylor & Francis Journals, vol. 17(9-10), pages 789-810, November.
    3. Thomas A. Lubik & Christian Matthes, 2019. "How Likely Is the Zero Lower Bound?," Economic Quarterly, Federal Reserve Bank of Richmond, issue 1Q, pages 41-54.
    4. Albrecht, Thomas, 2003. "Interest-Rate Changes and the Value of a Non-life Insurance Company," ASTIN Bulletin, Cambridge University Press, vol. 33(2), pages 347-364, November.
    5. Thomas Laubach & John C. Williams, 2015. "Measuring the natural rate of interest redux," Working Paper Series 2015-16, Federal Reserve Bank of San Francisco.
    6. Pablo Antolin & Sebastian Schich & Juan Yermo, 2011. "The Economic Impact of Protracted Low Interest Rates on Pension Funds and Insurance Companies," OECD Journal: Financial Market Trends, OECD Publishing, vol. 2011(1), pages 237-256.
    7. Subhash C. Ray, 1991. "Resource-Use Efficiency in Public Schools: A Study of Connecticut Data," Management Science, INFORMS, vol. 37(12), pages 1620-1628, December.
    8. Holston, Kathryn & Laubach, Thomas & Williams, John C., 2017. "Measuring the natural rate of interest: International trends and determinants," Journal of International Economics, Elsevier, vol. 108(S1), pages 59-75.
    9. Sergio Siglienti, 2000. "Consequences of the Reduction of Interest Rates on Insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 25(1), pages 63-77, January.
    10. Elia Berdin & Helmut Gründl, 2015. "The Effects of a Low Interest Rate Environment on Life Insurers," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 40(3), pages 385-415, July.
    11. Byeongyong Paul Choi & Mary A. Weiss, 2005. "An Empirical Investigation of Market Structure, Efficiency, and Performance in Property‐Liability Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 72(4), pages 635-673, December.
    12. Patrick L. Brockett & William W. Cooper & Linda L. Golden & John J. Rousseau & Yuying Wang, 2005. "Financial Intermediary Versus Production Approach to Efficiency of Marketing Distribution Systems and Organizational Structure of Insurance Companies," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 72(3), pages 393-412, September.
    13. Henry Tulkens & Philippe Eeckaut, 2006. "Nonparametric Efficiency, Progress and Regress Measures For Panel Data: Methodological Aspects," Springer Books, in: Parkash Chander & Jacques Drèze & C. Knox Lovell & Jack Mintz (ed.), Public goods, environmental externalities and fiscal competition, chapter 0, pages 395-429, Springer.
    14. Jan H Holsboer, 2000. "The Impact of Low Interest Rates on Insurers," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 25(1), pages 38-58, January.
    15. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    16. Eling, Martin & Holder, Stefan, 2013. "The value of interest rate guarantees in participating life insurance contracts: Status quo and alternative product design," Insurance: Mathematics and Economics, Elsevier, vol. 53(3), pages 491-503.
    17. Harris Schlesinger & Emilio Venezian, 1986. "Insurance Markets with Loss-Prevention Activity: Profits, Market Structure, and Consumer Welfare," RAND Journal of Economics, The RAND Corporation, vol. 17(2), pages 227-238, Summer.
    18. Huang, Wei & Eling, Martin, 2013. "An efficiency comparison of the non-life insurance industry in the BRIC countries," European Journal of Operational Research, Elsevier, vol. 226(3), pages 577-591.
    19. Gerry Dickinson, 2000. "The Implications of Lower Interest Rates for Insurers: A Comment," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 25(1), pages 59-62, January.
    20. Timo Kuosmanen, 2005. "Weak Disposability in Nonparametric Production Analysis with Undesirable Outputs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1077-1082.
    21. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    22. Johnson, Andrew L. & Kuosmanen, Timo, 2012. "One-stage and two-stage DEA estimation of the effects of contextual variables," European Journal of Operational Research, Elsevier, vol. 220(2), pages 559-570.
    23. Rolf Färe & Shawna Grosskopf, 2003. "Nonparametric Productivity Analysis with Undesirable Outputs: Comment," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1070-1074.
    24. Doherty, Neil A & Garven, James R, 1995. "Insurance Cycles: Interest Rates and the Capacity Constraint Model," The Journal of Business, University of Chicago Press, vol. 68(3), pages 383-404, July.
    25. Ray, Subhash C., 1988. "Data envelopment analysis, nondiscretionary inputs and efficiency: an alternative interpretation," Socio-Economic Planning Sciences, Elsevier, vol. 22(4), pages 167-176.
    26. Rajiv D. Banker & Ram Natarajan, 2008. "Evaluating Contextual Variables Affecting Productivity Using Data Envelopment Analysis," Operations Research, INFORMS, vol. 56(1), pages 48-58, February.
    27. Schaper, Philipp, 2017. "Under pressure: how the business environment affects productivity and efficiency of European life insurance companiesAuthor-Name: Eling, Martin," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1082-1094.
    28. Banker, Rajiv & Natarajan, Ram & Zhang, Daqun, 2019. "Two-stage estimation of the impact of contextual variables in stochastic frontier production function models using Data Envelopment Analysis: Second stage OLS versus bootstrap approaches," European Journal of Operational Research, Elsevier, vol. 278(2), pages 368-384.
    29. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    30. Ana María Reyna & Hugo J. Fuentes, 2018. "A cost efficiency analysis of the insurance industry in Mexico," Journal of Productivity Analysis, Springer, vol. 49(1), pages 49-64, February.
    31. Seiford, Lawrence M. & Zhu, Joe, 2002. "Modeling undesirable factors in efficiency evaluation," European Journal of Operational Research, Elsevier, vol. 142(1), pages 16-20, October.
    32. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    33. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, June.
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