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Analysis of Factors Influencing Motor Insurance Claim Severity

Abstract

The study examines the factors influencing motor insurance claim severity, focusing on the characteristics that determine the financial magnitude of claims arising from motor insurance policies. Claim severity represents the monetary value associated with an individual insurance claim and can vary considerably depending on the circumstances surrounding an accident or insured event. Understanding the factors that influence claim severity is therefore important for accurate actuarial modelling, premium determination, claims management, and effective motor insurance risk assessment. The study will investigate the major factors associated with variations in motor insurance claim severity. It will examine how characteristics such as driver age, driving experience, vehicle type, vehicle age, claims history, accident characteristics, policy type, and other relevant risk factors may influence the amount paid for individual claims. The study will assess whether differences in these characteristics are associated with significant variations in claim amounts. The study will further analyse the statistical relationship between selected risk factors and motor insurance claim severity. Attention will be given to the distribution of claim amounts and the extent to which different factors explain variations in the financial size of claims. Appropriate statistical and actuarial techniques will be used to identify significant predictors of claim severity and assess their relative importance in explaining motor insurance loss experience. A quantitative research approach will be adopted using relevant historical motor insurance claims and policy data. Descriptive statistics will first be used to examine the characteristics, distribution, and variability of claim amounts. Inferential statistical techniques, such as regression analysis, generalized linear models, or other appropriate actuarial methods, will then be applied to determine the factors significantly associated with claim severity. Model fit and predictive performance will be evaluated using suitable statistical measures. The study is expected to reveal that motor insurance claim severity is influenced by several policyholder, vehicle, and accident-related characteristics. Factors such as vehicle type, vehicle age, driver characteristics, claims history, and the nature of the insured event may demonstrate varying levels of association with claim amounts. The findings are also expected to identify the factors that contribute most significantly to differences in motor insurance claim severity. The study is further expected to establish that identifying important determinants of claim severity can improve motor insurance pricing, underwriting, claims assessment, and risk management. Accurate understanding of claim severity factors may enable insurers to develop more reliable premium estimates, improve risk classification, strengthen claims forecasting, and manage potential financial exposure more effectively. The findings may also assist actuarial practitioners in developing models that better reflect the characteristics of motor insurance losses. The study concludes that analysing the factors influencing motor insurance claim severity is essential for improving the accuracy of actuarial risk assessment and insurance decision-making. It is therefore recommended that insurance companies should incorporate relevant and statistically supported risk factors into their claim severity models, regularly analyse emerging claims patterns, and update their pricing and underwriting practices to reflect changes in motor insurance loss experience.

Keywords: Motor Insurance, Claim Severity, Insurance Claims, Claims Analysis, Risk Factors, Actuarial Modelling, Loss Severity, Insurance Risk, Driver Characteristics, Vehicle Characteristics, Claims History, Regression Analysis, Generalized Linear Models, Insurance Pricing, Underwriting.