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Effect of Insurance Coverage Gaps on Expected Claim Frequencies

Abstract

Insurance coverage gaps occur when periods of inadequate, interrupted, or incomplete insurance protection leave policyholders without continuous coverage for potential insured risks. Such gaps may arise from policy lapses, delayed renewals, insufficient coverage periods, or changes in insurance arrangements. These gaps can influence the period during which claims may be reported and the observed pattern of claim occurrences, making them relevant to actuarial analysis and insurance risk assessment. This study examines the effect of insurance coverage gaps on expected claim frequencies. It will assess how variations in the duration and occurrence of coverage gaps influence the expected number of claims within an insurance portfolio. The study will also examine the relationship between coverage continuity, periods of active insurance protection, policy exposure, and expected claim frequency. The study will focus on actuarial factors including coverage duration, gap periods, exposure periods, policy renewal patterns, claim occurrence rates, policyholder characteristics, and historical claims experience. Appropriate probability and actuarial models will be applied to estimate expected claim frequencies under different coverage conditions and to determine how changes in exposure periods may influence projected claims. A quantitative research approach will be adopted for the study. Relevant insurance policy and claims data, including policy periods, coverage interruptions, exposure periods, renewal information, and claim frequencies, will be obtained from appropriate insurance sources. Descriptive statistics, exposure analysis, frequency distributions, correlation analysis, regression techniques, and actuarial frequency models will be used to evaluate the effect of insurance coverage gaps on expected claim frequencies. The study is expected to find that variations in insurance coverage gaps may have measurable effects on expected claim frequencies when claim experience is evaluated relative to periods of active exposure. Longer or more frequent gaps may reduce the time during which insured claims can occur, while changes in the composition of active policyholders following coverage interruptions may produce different observed claim patterns. The results may also vary according to policy type, exposure duration, and historical claims experience. The findings may be useful to actuaries, insurance companies, underwriters, claims managers, and risk analysts. Understanding coverage gaps can support more accurate exposure measurement, claim frequency estimation, premium assessment, portfolio analysis, and insurance risk management. It may also assist insurers in interpreting claims experience correctly when periods of interrupted coverage are present in their historical data. The study concludes that insurance coverage gaps are relevant when estimating expected claim frequencies because they affect the duration and measurement of insured exposure. It is therefore recommended that insurers account for coverage interruptions and exposure periods when developing actuarial frequency models. Careful analysis of coverage continuity may improve the accuracy of expected claim estimates and support more reliable insurance pricing and risk assessment.

Keywords: Insurance coverage gaps, expected claim frequencies, claim frequency, insurance exposure, coverage duration, policy interruptions, policy lapses, policy renewals, claims experience, actuarial models, exposure analysis, insurance risk, claim occurrence, premium assessment, actuarial analysis.