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Profitability and Growth in Motor Insurance Business: Empirical Evidence from Germany

Author

Listed:
  • Liselotte Maichel-Guggemoos

    (University of Lausanne)

  • Joël Wagner

    (University of Lausanne)

Abstract

Over recent years, the German motor insurance business has faced significant changes, including a growing importance of direct insurance offerings. Motor insurance products are offered by a wide range of insurers, with companies differing in terms of legal status, size, product portfolio, distribution strategy and operational efficiency. Furthermore, one distinguishes between two main products, namely motor third-party liability (MTPL) and motor own damage (OD). In our research, we analyse to what extent the characteristics of the companies can explain the premiums, the total claims costs and the operating expenses per contract in MTPL and OD. For our analysis, we use panel data of insurance companies, offering motor insurance products in Germany, for the years 2002–2014. The panel data provide almost full market coverage. In our study, we apply different statistical tests and multilinear regression models. We show that mutuals relate to lower premiums, lower total claims costs and lower operating expenses per contract when compared to listed companies. In addition, direct insurance companies get along with lower premiums and lower operating expenses per contract compared to traditional companies selling via agents or brokers. Furthermore, we find major differences related to the range of the product portfolio, the size of the motor business, the dominance of the motor business within the non-life business, and the calendar year. Our results are relevant to academics and practitioners alike and help to better understand the German motor insurance business.

Suggested Citation

  • Liselotte Maichel-Guggemoos & Joël Wagner, 2018. "Profitability and Growth in Motor Insurance Business: Empirical Evidence from Germany," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(1), pages 126-157, January.
    • Handle: RePEc:pal:gpprii:v:43:y:2018:i:1:d:10.1057_s41288-017-0053-4
    DOI: 10.1057/s41288-017-0053-4
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    References listed on IDEAS

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    1. R. Guy Thomas, 2008. "Loss Coverage as a Public Policy Objective for Risk Classification Schemes," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(4), pages 997-1018, December.
    2. Ajne, B., 1975. "A Note On The Multiplicative Ratemaking Model," ASTIN Bulletin, Cambridge University Press, vol. 8(2), pages 144-153, September.
    3. Eling, Martin & Luhnen, Michael, 2010. "Efficiency in the international insurance industry: A cross-country comparison," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1497-1509, July.
    4. Kremslehner, Daniela & Muermann, Alexander, 2016. "Asymmetric information in automobile insurance: Evidence from driving behavior," CFS Working Paper Series 543, Center for Financial Studies (CFS).
    5. Ursina B. Meier & J. François Outreville, 2006. "Business cycles in insurance and reinsurance: the case of France, Germany and Switzerland," Journal of Risk Finance, Emerald Group Publishing, vol. 7(2), pages 160-176, March.
    6. Nils Mahlow & Joël Wagner, 2016. "Evolution of Strategic Levers in Insurance Claims Management: An Industry Survey," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 19(2), pages 197-223, September.
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    Cited by:

    1. Nadine Gatzert & Katrin Osterrieder, 2020. "The future of mobility and its impact on the automobile insurance industry," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(1), pages 31-51, March.

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