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Effect of Insurance Policy Duration on Claim Probability

Abstract

The study examines the effect of insurance policy duration on claim probability, focusing on how the length of time an insurance policy remains in force may influence the likelihood of a claim occurring. Policy duration is an important consideration in insurance risk assessment because exposure to insured events generally changes as the period of coverage increases. Understanding the relationship between policy duration and claim probability is therefore important for accurate risk classification, premium determination, claims forecasting, and effective insurance portfolio management. The study will investigate the relationship between the duration of insurance policies and the probability of claims occurring during the period of coverage. It will examine policies across different durations and assess variations in claim occurrence among short-term, medium-term, and long-term policies. The study will also consider how factors such as policy age, exposure period, renewal patterns, and the type of insurance coverage may contribute to differences in observed claim probabilities. Particular attention will be given to the frequency of claims at different stages of policy duration. Actuarial and statistical techniques will be applied to estimate claim probabilities and identify patterns in claims experience over time. The study will compare claim occurrence across different policy durations and assess whether longer periods of exposure are associated with corresponding changes in expected claims and overall insurance risk. A quantitative research approach will be adopted for the study. Relevant insurance policy records, policy duration information, claims data, and policyholder characteristics will be analysed using descriptive statistics, probability estimation, and actuarial techniques. Claim frequency measures, probability models, and comparative analysis will be used to evaluate differences in claim probability across various policy duration periods. Sensitivity analysis may also be applied to examine the stability of the estimated relationships under different assumptions. The study is expected to reveal that policy duration has an important relationship with claim probability, although the strength and direction of the relationship may vary according to the nature of the insurance product. Longer policy exposure may increase the cumulative opportunity for insured events to occur, while claim probabilities measured over specific periods may display different patterns depending on policy characteristics and claims experience. The findings are also expected to indicate that policy duration can provide useful information for understanding the development of insurance risk over time. The findings are expected to have important implications for insurance pricing, underwriting, claims forecasting, reserving, and portfolio management. A clearer understanding of how claim probability changes with policy duration may assist insurers in developing more accurate risk assumptions and evaluating the expected claims associated with policies of different lengths. The study may also support better monitoring of claims experience and improve actuarial assessments of insurance liabilities. The study concludes that insurance policy duration is an important factor to consider when assessing claim probability and insurance risk. Differences in the length of coverage may influence cumulative claims exposure and the pattern of claims experienced by insurers. It is therefore recommended that insurers incorporate policy duration into appropriate actuarial and statistical analyses, regularly evaluate claims experience across policy periods, and use reliable duration-based information to improve pricing, reserving, and risk management decisions.

Keywords: Insurance Policy Duration, Claim Probability, Insurance Claims, Claims Frequency, Actuarial Analysis, Insurance Risk, Policy Exposure, Risk Assessment, Insurance Pricing, Underwriting, Claims Forecasting, Insurance Reserves, Probability Models, Policyholder Behaviour, Portfolio Management.