Análisis de los factores de riesgo en el seguro de automóvil mediante ecuaciones estructurales

  1. María Jesús Segovia-Vargas 1
  2. María-del-Mar Camacho-Miñano 2
  3. David Pascual-Ezama 1
  4. Piedad Tolmos Rodríguez-Piñero 3
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 University College for Financial Studies (CUNEF), España
  3. 3 Universidad Rey Juan Carlos
    info

    Universidad Rey Juan Carlos

    Madrid, España

    ROR https://ror.org/01v5cv687

Journal:
Innovar: revista de ciencias administrativas y sociales

ISSN: 0121-5051

Year of publication: 2015

Volume: 25

Issue: 1

Pages: 121-130

Type: Article

DOI: 10.15446/INNOVAR.V25N1SPE.53369 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Innovar: revista de ciencias administrativas y sociales

Abstract

Risk management, associated to car insurance, is a crucial issue currently faced by both actuaries and field professionals. It is essential to adequately choose the risk factors to assign the payment rates to policyholders according to the associated risks. Therefore, the purpose of this work is to demonstrate, in an empirical way, the validity of using "bonus malus" (BM) levels to classify policyholders correctly through two models of structural equations. The analysis of a sample of 4,365 Spanish car insurance policies described through 11 risk factors shows that the variable BM contributes to improving the explaining capacity of the model, though not in a significant way.