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EFFECT OF POLICY COHORT DURATION ON LIFE INSURANCE PROFIT TESTING

Format: MS WORD  |  Chapter: 1-5  |  Pages: 65  |  4 Users found this project useful  |  Price NGN5,000

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Effect of Policy Cohort Duration on Life Insurance Profit Testing

 

Abstract

Policy cohort duration refers to the length of time over which a group of life insurance policies is observed and evaluated for financial performance and profitability. Duration is an important consideration in life insurance profit testing because premium income, benefit payments, expenses, investment returns, and other contractual cash flows may change throughout the life of policies. Understanding cohort duration is therefore important for accurately assessing the projected profitability of life insurance business. This study will examine the effect of policy cohort duration on life insurance profit testing. It will assess how variations in the duration of policy cohorts influence projected profits and the timing of profit emergence. The study will also examine the relationship between cohort duration, premium income, benefit payments, expenses, investment returns, policy persistency, and life insurance profit measures. The study will focus on policy cohort duration, life insurance profit testing, premium income, benefit payments, policy expenses, investment returns, policy persistency, mortality assumptions, policy duration, actuarial cash flows, and projected profits. Actuarial profit testing techniques will be applied to project the cash flows and financial results associated with different policy cohort durations. Comparative and sensitivity analyses will also be used to evaluate changes in profit emergence under alternative cohort duration assumptions. A quantitative research approach will be adopted for the study. Relevant life insurance policy, premium, benefit, expense, investment, mortality, and duration data will be analysed using descriptive statistics, cohort analysis, actuarial cash flow projections, profit testing models, comparative analysis, scenario analysis, and sensitivity analysis. Different cohort duration periods will be evaluated to determine their effects on projected profit values, profit emergence patterns, and financial performance. The study is expected to reveal that policy cohort duration may have a significant effect on life insurance profit testing. Shorter observation periods may produce profit results that are strongly influenced by initial acquisition expenses and early policy cash flows, while longer cohort durations may provide a more complete view of accumulated premiums, benefits, expenses, and investment returns. The magnitude of the effect may depend on policy duration, premium patterns, benefit structures, expense levels, investment returns, mortality assumptions, and policy persistency. The study will be useful to actuaries, life insurance companies, financial managers, underwriters, product developers, pricing analysts, and insurance valuation specialists. It may provide useful information for evaluating product profitability, forecasting profit emergence, assessing policy cohort performance, improving pricing decisions, and supporting long-term financial planning. The findings may also assist insurers in understanding how the period over which policy cohorts are assessed can influence profit testing results. The study concludes that policy cohort duration is an important consideration in life insurance profit testing because the period of assessment can influence the recognition and projection of premiums, benefits, expenses, investment returns, and resulting profits. It is therefore recommended that insurers apply appropriate cohort duration assumptions in profit testing models, regularly compare projected results with actual experience, and conduct sensitivity analysis to assess the effects of alternative cohort durations on life insurance profitability.

Keywords: Policy cohort duration, life insurance profit testing, policy cohorts, profit emergence, premium income, benefit payments, policy expenses, investment returns, policy persistency, mortality assumptions, actuarial cash flows, policy duration, product profitability, actuarial profit testing, sensitivity analysis.

 

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EFFECT OF POLICY COHORT DURATION ON LIFE INSURANCE PROFIT TESTING

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