Some criticism to a general model in Solvency II: an explanation from a clustering point of view Articles uri icon

publication date

  • May 2017

start page

  • 1289

end page

  • 1308

issue

  • 4

volume

  • 52

international standard serial number (ISSN)

  • 0377-7332

electronic international standard serial number (EISSN)

  • 1435-8921

abstract

  • It is a well-known fact that heterogeneity is one of the characteristics of the insurance market, and it is relevant to classify and characterize companies by means of their financial properties and different risk profiles. So, it may not be adequate to use a general model for all the companies operating in the European market, as the one proposed by the Directive 2009/138/CE. Solvency II is a general regulatory model such that the volume of own resources will be determined depending on risks based on a calibration reached considering the average behaviour of companies. In order to criticize this approach, we have obtained a characterization of the profiles of companies using a PAM clustering methodology, adapted for longitudinal data, and we have studied the evolution of the obtained groups of companies under a Bayesian approach. In this way, we have introduced a multinomial general dynamic linear model to study the probabilities of the companies to be included into each group. The characterization and identification of these groups suggest that an unique regulatory model may be unsuitable. We have used data from DGSFP (Spanish insurance regulator), with public information about the balance sheets and income statements from years 1999 to 2011.

keywords

  • longitudinal multinomial model; pam; solvency ii; linear mixed models; insurance companies; segmentation; industry