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Effect of Life Insurance Profit Testing Assumptions on Expected Product Returns

Abstract

Profit testing is an important actuarial technique used by life insurance companies to evaluate the expected financial performance of insurance products over their policy duration. It involves projecting future premiums, claims, benefits, expenses, investment income, and other relevant cash flows to determine the expected profitability of a product. The assumptions applied in profit testing can therefore have a significant influence on estimated product returns and the assessment of financial viability. This study examines the effect of life insurance profit testing assumptions on expected product returns. The study will investigate how changes in key assumptions used in profit testing influence projected profitability and expected returns from life insurance products. Particular attention will be given to assumptions relating to mortality, policyholder behaviour, investment returns, expenses, premium levels, and policy persistency. The study will consider factors such as mortality rates, lapse rates, premium payment patterns, investment return assumptions, acquisition expenses, administration expenses, claims costs, policy duration, and benefit structures. Actuarial profit testing techniques will be applied to project the financial cash flows associated with selected life insurance products and determine expected returns under alternative assumption scenarios. Sensitivity analysis will also be used to assess the effect of changes in individual assumptions on projected profitability. A quantitative research approach will be adopted for the study. Relevant actuarial data and hypothetical life insurance product structures will be analysed using profit testing models, actuarial cash flow projections, discounted cash flow techniques, and profitability measures. Scenario and sensitivity analyses will be conducted to compare expected product returns under different mortality, investment, expense, and policyholder behaviour assumptions. The study is expected to reveal that changes in profit testing assumptions can materially affect expected life insurance product returns. Higher investment returns and favourable policy persistency may increase projected profitability, while higher mortality, lapse rates, claims costs, or operating expenses may reduce expected returns. The study may also show that the sensitivity of product returns varies according to product design, policy duration, benefit structure, and the relative importance of each assumption. The findings of the study may provide useful information to actuaries, life insurance companies, product developers, financial analysts, regulators, and risk managers. Understanding the effect of profit testing assumptions can support more reliable product pricing, profitability assessment, product design, and financial planning. The study may also assist insurers in identifying assumptions that have substantial effects on expected returns and require regular monitoring and review. The study concludes that profit testing assumptions are important determinants of expected life insurance product returns because changes in projected mortality, investment, expense, and policyholder behaviour can significantly influence product profitability. It is therefore recommended that insurers use realistic and well-supported assumptions, conduct regular sensitivity and scenario testing, review assumptions against emerging experience, and incorporate appropriate actuarial judgement when evaluating the expected returns of life insurance products.

Keywords: Life insurance profit testing, profit testing assumptions, expected product returns, life insurance profitability, actuarial profit testing, mortality assumptions, lapse assumptions, investment returns, expense assumptions, premium assumptions, policyholder behaviour, product pricing, profitability assessment, actuarial modelling, life insurance products.