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Effect of Seasonal Claim Patterns on General Insurance Pricing

Abstract

Seasonal claim patterns refer to recurring changes in the frequency and severity of insurance claims during particular periods of the year. In general insurance, factors such as weather conditions, travel periods, agricultural cycles, festive activities, and changes in exposure levels may contribute to variations in claims across different seasons. Understanding these patterns is therefore important for accurate risk assessment and appropriate general insurance pricing. The study examines the effect of seasonal claim patterns on general insurance pricing. It will assess how variations in claim frequency and severity across different seasons influence the premiums required for general insurance policies. The study will also examine the relationship between seasonal claim patterns, claim frequency, claim severity, exposure levels, loss experience, and premium rates. The study will focus on seasonal claim patterns, general insurance pricing, claim frequency, claim severity, exposure levels, loss experience, premium rates, and actuarial risk assessment. Actuarial pricing techniques will be applied to analyse claims experience across different seasons and estimate premiums under alternative seasonal assumptions. Comparative and sensitivity analyses will be used to determine the extent to which seasonal variations in claims affect insurance pricing. A quantitative research approach will be adopted for the study. Relevant general insurance claims and policy data, including claim dates, claim frequencies, claim amounts, exposure levels, policy durations, premium rates, and historical loss experience, will be analysed. Descriptive statistics, seasonal analysis, frequency and severity modelling, loss ratio analysis, actuarial premium calculations, trend analysis, comparative analysis, and sensitivity analysis will be used to evaluate the effect of seasonal claim patterns on general insurance pricing. The study is expected to reveal that seasonal claim patterns may have a significant effect on general insurance pricing. Periods with higher claim frequencies or severities may generate greater expected losses and consequently higher premium requirements, while periods with lower claims experience may produce different pricing estimates. The magnitude of the effect may depend on the type of insurance, exposure levels, claim frequency, claim severity, historical loss experience, and the persistence of seasonal patterns. The study is expected to be useful to actuaries, general insurance companies, underwriters, pricing analysts, claims managers, and financial managers. The findings may support premium determination, risk classification, portfolio management, claims forecasting, pricing adequacy, and insurance financial planning. The study may also assist insurers in incorporating recurring seasonal variations into their pricing models and improving the assessment of expected losses. The study concludes that seasonal claim patterns are important considerations in general insurance pricing because recurring variations in claims experience can influence expected losses and premium requirements. It is therefore recommended that insurers regularly analyse seasonal claims data, incorporate relevant seasonal patterns into actuarial pricing models, and conduct sensitivity analysis under alternative seasonal scenarios to support reliable and appropriate premium estimation.

Keywords: Seasonal claim patterns, general insurance pricing, claim frequency, claim severity, seasonal variations, premium rates, exposure levels, loss experience, actuarial pricing, risk assessment, expected losses, loss ratios, premium determination, insurance claims, sensitivity analysis.