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Modelling Insurance Policy Renewal Frequencies Using Actuarial Techniques

Abstract

Insurance policy renewal is an important component of insurance portfolio management because it determines the continuity of policyholder participation and the recurring premium income generated by insurers. The frequency with which policies are renewed provides useful information about policy persistency, customer retention, portfolio stability, and future revenue expectations. Actuarial modelling of renewal frequencies can therefore assist insurers in understanding renewal behaviour and making informed decisions about pricing, portfolio management, and financial planning. The study examines the use of actuarial techniques in modelling insurance policy renewal frequencies. It will assess patterns in the frequency with which policyholders renew their insurance policies and identify variations in renewal behaviour across different policy periods and categories. The study will also evaluate how actuarial models can be applied to estimate future renewal frequencies and provide reliable information for insurance portfolio management. The study will consider factors such as renewal frequency, policy duration, policyholder age, premium payment patterns, policy type, previous renewal history, lapse rates, and cancellation patterns. Actuarial techniques such as survival analysis, probability modelling, frequency distributions, transition models, and experience-based analysis will be considered in developing models of policy renewal behaviour. These techniques will help estimate renewal probabilities and identify patterns in policy persistency. A quantitative research approach will be adopted for the study. Historical insurance policy data containing information on policy commencement, renewal, lapse, cancellation, policy duration, and relevant policy characteristics will be analysed over a specified period. Actuarial and statistical models will be fitted to the data, while appropriate goodness-of-fit and model evaluation measures will be applied to determine the suitability of the selected techniques for forecasting policy renewal frequencies. The study is expected to reveal identifiable patterns in insurance policy renewal frequencies across different policy categories and periods. Policies with stronger persistency are expected to demonstrate higher renewal frequencies, while policies with greater lapse and cancellation experience may show lower renewal frequencies. The actuarial models may also provide useful estimates of future renewal probabilities and demonstrate differences in renewal behaviour across policyholder groups. The findings are expected to be useful to insurance companies, actuaries, underwriters, portfolio managers, and insurance analysts. Accurate modelling of renewal frequencies may support premium revenue forecasting, policy retention planning, portfolio valuation, product design, and assessment of future insurance business volumes. The models may also help insurers identify changes in renewal behaviour and develop strategies for improving policyholder persistency. The study concludes that actuarial techniques can provide an effective basis for modelling insurance policy renewal frequencies and understanding policyholder persistency. It is therefore recommended that insurers maintain accurate historical renewal records and regularly apply appropriate actuarial models to monitor renewal behaviour. Continuous evaluation of renewal frequencies may improve portfolio management, revenue forecasting, policy retention strategies, and long-term insurance planning.

Keywords: Insurance Policy Renewal, Renewal Frequency, Actuarial Techniques, Policy Persistency, Policyholder Retention, Renewal Probability, Insurance Portfolio, Policy Duration, Policy Lapse, Policy Cancellation, Survival Analysis, Probability Modelling, Actuarial Modelling, Premium Revenue, Insurance Forecasting.