The Vehicle Make-based Pricing Approach for Motor Insurance in Sri Lanka: Identifying the Efficacy of Vehicle Make on Pricing Decision
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70,475 motor insurance policies and 31,706 respective claims were selected as the sample and data were selected from insurance agents covering entire geographical area and from a motor engineer under the telephone conversation method. Data were analyzed using MS Office 2007 excel package and list downing points from the motor engineer.
The researcher identified varied claim ratios for different vehicle makes even if they use for the same purpose. Therefore vehicle’s make is highly affected to total claim cost of a vehicle and thereby affect for insurance premium calculation/pricing decisions. Make-based pricing allowed to charge customized prices from clients by referring past claim history of particular vehicle makes.
Keywords
- Biger, N. & Kahane, Y. (1978). Risk considerations in insurance ratemaking. The Journal of Risk and Insurance, 45(1), 121-132.
- Edlin, A. S. & Karaca-Mandic, P. (2006). The accident externality from driving. Journal of Political Economy, 114(5), 931-955. Retrieved from http:// www.jstor. org (accessed on June 22, 2012).
- Haner, C. F. (1968). Prediction of automobile claims by Psychological methods. A case study in automobile. The Journal of Risk and Insurance, 35(1), 49-59. Retrieved from http:// www.investopedia.com/university/ insurance/insurance1.asp#axzz21iJJcody
- Insurance Australia Group. (2011). General Insurance Fundamentals.
- IBSL. (2010). Annual Report. Retrieved from http:// www.ibsl.gov.lk/publications/IBSL_Annual_ Report_2010.pdf (accessed on August 2, 2012)
- Lauwers, L. (2010). A Monte Carlo model for simulating insufficiently remunerating risk premium: Case of market failure in organic farming. Agriculture and Agricultural Science Procedia, 1, 76-89. Retrieved from www.sciencedirect.com (accessed on July 20, 2012).
- Lee, C. H. (2011). Research on motor vehicle insurance underwriting risk management model. Procedia Engineering, 15, 4973-4977. Retrieved from www. sciencedirect.com (accessed on June 14, 2012).
- Schnapp, F. (2004). Pricing for Systematic Risk. Retrieved from http:// www.casact.org/pubs/forum/04fforum/ Smith, K. A., Willis, R. J. & Brooks, M. (2000). An analysis of customer retention and insurance claim patterns using data mining: A case. The Journal of the Operational Research Society, 51(5), 532-541.
- Wang, S. S. (2002). A universal framework for pricing financial and insurance risks. ASTIN Bulletin, 32(2), 213-234.
- Werner, G. & Modlin, C. (2010). Basic Ratemaking. Casualty Actuarial Society.
- Yeo, A. C., Smith, K. A., Willis, R. J. & Brooks, M. (2002). A mathematical programming approach to optimize insurance premium pricing within a data mining framework. The Journal of the Operational Research Society, 53(11), 1197-1203.
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