Modern claim frequency and claim severity models

an application to the Russian motor own damage insurance market

Evgenii V. Gilenko, Elena A. Mironova

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

During 2012–2015, the motor insurance in Russia received considerable attention both from the parts of the Russian government and from the insurance business. This was caused, in particular, by significant losses from the side of insurance companies that occurred during 2012–2013. Experts explain these losses not only by the effects of inflation or by the changes in Russian insurance legislation, but also by the incomplete set of factors that has been used by insurance companies for tariff calculation. This research analyses the factors that influence claim frequency and claim severity in the Russian motor own damage (MOD) insurance to assess the efficiency of the existing set of factors used for MOD insurance tariff calculations. To this end, we employ the appropriate claim frequency and claim severity models on the data provided by one of the leading St. Petersburg (Russia) insurance companies for the period of 2012–2013. The results of our calculations, organized within a resampling framework, show that additional factors may indeed be worth taking into account in the MOD insurance tariff calculation.
Original languageEnglish
Article number1311097
Pages (from-to)1-12
Number of pages12
JournalCogent Economics & Finance
Volume5
Issue number1
DOIs
StatePublished - 2017

Keywords

  • claim frequency
  • claim severity
  • gamma-distribution
  • SCOPUS
  • WOS

Scopus subject areas

  • Business, Management and Accounting(all)

Cite this

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title = "Modern claim frequency and claim severity models: an application to the Russian motor own damage insurance market",
abstract = "During 2012–2015, the motor insurance in Russia received considerable attention both from the parts of the Russian government and from the insurance business. This was caused, in particular, by significant losses from the side of insurance companies that occurred during 2012–2013. Experts explain these losses not only by the effects of inflation or by the changes in Russian insurance legislation, but also by the incomplete set of factors that has been used by insurance companies for tariff calculation. This research analyses the factors that influence claim frequency and claim severity in the Russian motor own damage (MOD) insurance to assess the efficiency of the existing set of factors used for MOD insurance tariff calculations. To this end, we employ the appropriate claim frequency and claim severity models on the data provided by one of the leading St. Petersburg (Russia) insurance companies for the period of 2012–2013. The results of our calculations, organized within a resampling framework, show that additional factors may indeed be worth taking into account in the MOD insurance tariff calculation.",
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Modern claim frequency and claim severity models : an application to the Russian motor own damage insurance market. / Gilenko, Evgenii V.; Mironova, Elena A.

In: Cogent Economics & Finance, Vol. 5, No. 1, 1311097, 2017, p. 1-12.

Research output: Contribution to journalArticleResearchpeer-review

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AB - During 2012–2015, the motor insurance in Russia received considerable attention both from the parts of the Russian government and from the insurance business. This was caused, in particular, by significant losses from the side of insurance companies that occurred during 2012–2013. Experts explain these losses not only by the effects of inflation or by the changes in Russian insurance legislation, but also by the incomplete set of factors that has been used by insurance companies for tariff calculation. This research analyses the factors that influence claim frequency and claim severity in the Russian motor own damage (MOD) insurance to assess the efficiency of the existing set of factors used for MOD insurance tariff calculations. To this end, we employ the appropriate claim frequency and claim severity models on the data provided by one of the leading St. Petersburg (Russia) insurance companies for the period of 2012–2013. The results of our calculations, organized within a resampling framework, show that additional factors may indeed be worth taking into account in the MOD insurance tariff calculation.

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