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Effect of Profit Testing Assumptions on Life Insurance Product Profitability

Abstract

Profit testing is an important actuarial technique used to assess the expected financial performance of life insurance products by comparing projected income and expenditure over the lifetime of insurance contracts. The accuracy of profit testing depends largely on the assumptions used to project future premiums, benefits, expenses, mortality, investment returns, and policyholder behaviour. Changes in these assumptions can therefore influence projected cash flows and the estimated profitability of life insurance products. This study examines the effect of profit testing assumptions on life insurance product profitability. The study will assess how variations in key actuarial and financial assumptions influence projected profit margins and cumulative profits from life insurance products. It will also examine the sensitivity of profitability estimates to changes in selected assumptions used in the profit testing process. The study will focus on assumptions relating to mortality rates, interest or investment returns, expense levels, lapse rates, premium growth, claim payments, and policyholder behaviour. Profitability will be assessed using measures such as annual profit, cumulative profit, profit margins, and discounted profit values. Actuarial cash flow models will be used to examine how changes in individual assumptions affect the expected financial performance of life insurance products. A quantitative research approach will be adopted using representative life insurance product data and relevant actuarial assumptions. Profit testing models will be developed to project premiums, investment income, expenses, claims, benefits, and other contractual cash flows over the policy term. Scenario analysis and sensitivity analysis will then be applied to evaluate changes in profitability under alternative mortality, investment return, expense, and policyholder behaviour assumptions. The study is expected to reveal that profit testing assumptions have a significant effect on projected life insurance product profitability. More favourable investment return and mortality assumptions may increase projected profits, while higher expenses, mortality rates, or lapse rates may reduce profitability depending on the product structure. The findings may also show that small changes in selected assumptions can produce substantial differences in long-term profitability projections. The study will provide useful information for actuaries, life insurance companies, product development teams, regulators, and other stakeholders involved in life insurance pricing and financial management. Understanding the sensitivity of profitability to profit testing assumptions may support more realistic pricing, product design, financial planning, and risk management. The findings may also help insurers identify assumptions that require regular monitoring and review. The study concludes that the assumptions used in profit testing are important determinants of projected life insurance product profitability. It is therefore recommended that insurers and actuaries use realistic and regularly reviewed assumptions when conducting profit tests and perform sensitivity analysis under alternative scenarios. Appropriate assumption setting may improve the reliability of profitability estimates and support financially sustainable life insurance product development.

Keywords: Profit testing assumptions, life insurance profitability, profit testing, actuarial assumptions, life insurance products, mortality assumptions, investment returns, expense assumptions, lapse rates, premium projections, insurance cash flows, profit margins, actuarial modelling, product pricing, profitability analysis.