Prediction of individual automobile reported but not settled claim reserves for bodily injuries in the context of Solvency II

Authors

  • M. Mercedes Ayuso Gutiérrez Departament d'Econometria, Estadística i Economia Espanyola Universitat de Barcelona
  • Miguel Á. Santolino Prieto Departament d'Econometria, Estadística i Economia Espanyola Universitat de Barcelona

DOI:

https://doi.org/10.46661/revmetodoscuanteconempresa.2113

Keywords:

Automobile accident, Solvency II, bodily injury claims, individual reported but not settled reserve (RBNS), accidente de automóvil, Solvencia II, siniestros con daños corporales, reserva individual para siniestros pendientes de liquidación

Abstract

Automobile bodily injury (BI) claims remain unsettled for a long time after the accident. The estimation of an accurate reserve for Reported but not Settled claims is therefore vital for insurers. In accordance with the recommendation included in the Solvency II project, a statistical model is implemented for reserve estimation. Lognormality on empirical cost data is observed for different levels of BI severity. The individual claim provision is estimated by allocating the expected mean compensation for the predicted severity of the victim’s injury, for which the upper bound is also computed. The severity is predicted by means of a heteroscedastic multiple choice model, because evidence has found that the variability in the latent severity of individuals travelling by car is not constant. It is shown that this methodology improves the accuracy of reserve estimation at all stages, as compared to the subjective assessment that has traditionally been made by practitioners.

 

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References

ABDEL-ATY, M. (2003) Analysis of Driver Injury Severity Levels at Multiple Locations Using Ordered Probit Models. Journal of Safety Research, 34, 597–603.

ANTONIO, K., BEIRLANT, J., HOEDEMAKERS, T. & VERLAAK, R. (2006) Lognormal Mixed Models for Reported Claim Reserves. North American Actuarial Journal, 10, 30–48.

AUSTIN, R. & FAIGIN, B. (2003) Effect of Vehicle and Crash Factors on Older Occupants. Journal of Safety Research, 34, 441–452.

AYUSO, M. & SANTOLINO, M. (2007) Predicting Automobile Claims Bodily Injury Severity with Sequential Ordered Logit Models. Insurance: Mathematics and Economics, 4, 71–83.

CEIOPS (2007) QIS 4 Technical Specifications. Committee of European Insurance and Occupational Pensions Supervisors CEIOPS DOC-23/07.

ENGLAND, P. & VERALL, R. (2002) Stochastic Claims Reserving in General Insurance. British Actuarial Journal, 8, 443–544.

ENGLAND, P. & VERALL, R. (2006) Predictive distributions of outstanding liabilities in general insurance. Annals of Actuarial Science, 1, 221–270.

HAASTRUP, S. & ARJAS, E. (1996) Claims Reserving in Continuous Time: a Non-parametric Bayesian Approach. ASTIN Bulletin, 26, 139–164.

KARLAFTIS, M.G., KOTZAMPASSAKIS, I. & KANELLAIDIS, G. (2003) An Empirical Investigation of European Drivers' Self-Assessment. Journal of Safety Research, 34, 207–213.

KOCKELMAN, K. & KWEON, Y. (2002) Driver Injury Severity: An Application of Ordered Probit Models. Accident Analysis & Prevention, 34, 313–321.

LEE, C. & ABDEL-ATY, M. (2005) Comprehensive Analysis of Vehicle-Pedestrian Crashes at Intersections in Florida. Accident Analysis & Prevention, 37, 775–786.

NORBERG, R. (1993) Prediction of Outstanding Liabilities in Non-Life Insurance. ASTIN Bulletin, 23, 95–115.

NORBERG, R. (1999) Prediction of Outstanding Claims II: Model Variations and Extensions. ASTIN Bulletin, 29, 5–25.

O’DONELL, C.J. & CONNOR, D.H. (1996) Predicting the Severity of Motor Vehicle Accident Injuries Using Models of Ordered Multiple Choice. Accident Analysis & Prevention, 28, 739–756.

ROHOLTE LARSEN, C. (2007) An Individual Claims Reserving Model. ASTIN Bulletin, 37, 113–132.

SCOR (2006) Nivel y Evolución del Coste Medio Daño Corporal Grave por Accidentes de Circulación Ocurridos en España. SCOR Global P&C (Spanish document).

WANG, X. & KOCKELMAN, K. (2005) Use of Heteroscedastic Ordered Logit Model to Study Severity of Occupant Injury: Distinguishing the Effects of Vehicle Weight and Type. Transportation Research Record, 1908, 195–204.

ZAJAC, S. & IVAN, J. (2003) Factors Influencing Injury Severity of Motor Vehicle-Crossing Pedestrian Crashes in Rural Connecticut. Accident Analysis & Prevention, 35, 369–379.

Published

2016-11-04

How to Cite

Ayuso Gutiérrez, M. M., & Santolino Prieto, M. Á. (2016). Prediction of individual automobile reported but not settled claim reserves for bodily injuries in the context of Solvency II . Journal of Quantitative Methods for Economics and Business Administration, 6, Páginas 23 a 41. https://doi.org/10.46661/revmetodoscuanteconempresa.2113

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Articles