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Effect of Assumption Update Frequency on Insurance Contract Valuation

Abstract

Assumption update frequency refers to how often actuarial assumptions used in the valuation of insurance contracts are reviewed, revised, and incorporated into valuation calculations. These assumptions may include mortality, longevity, interest rates, expenses, policyholder behaviour, and other factors that influence the expected cash flows of insurance contracts. The frequency with which these assumptions are updated may therefore affect the measurement and stability of insurance contract values. This study will examine the effect of assumption update frequency on insurance contract valuation. It will assess how different frequencies of updating actuarial assumptions influence the estimated values of insurance contracts and related liabilities. The study will also compare valuation outcomes under alternative assumption update frequencies to determine how the timing of assumption revisions affects actuarial valuation results. The study will focus on assumption update frequency, insurance contract valuation, actuarial assumptions, mortality assumptions, interest rate assumptions, expense assumptions, policyholder behaviour, insurance liabilities, actuarial present values, contract values, and valuation estimates. Alternative assumption update frequencies will be examined to identify variations in projected cash flows and contract values. Actuarial and statistical techniques will be used to assess the sensitivity of insurance valuation results to changes in assumption update practices. A quantitative research approach will be adopted for the study. Historical insurance policy, claims, mortality, expense, interest rate, and financial data will be analysed using descriptive statistics, actuarial valuation techniques, assumption analysis, actuarial present value calculations, comparative analysis, and sensitivity analysis. Insurance contract values generated under different assumption update frequencies will be compared to determine the effect of assumption revisions on liability estimates and valuation outcomes. The study is expected to reveal that assumption update frequency may have a significant effect on insurance contract valuation. More frequent updates may enable valuation models to reflect emerging changes in mortality, economic conditions, expenses, and policyholder behaviour more quickly, while less frequent updates may produce greater consistency but may delay the recognition of changes in underlying assumptions. The magnitude of the effect may depend on the type of assumption, contract duration, assumption volatility, portfolio characteristics, and the size of changes introduced during each update. The study will be useful to actuaries, insurance companies, valuation specialists, pricing analysts, financial managers, risk managers, regulators, and insurance researchers. It may provide useful information for establishing appropriate assumption review procedures, improving insurance contract valuation, monitoring liability movements, and supporting actuarial and financial decision-making. The findings may also assist insurers in evaluating the balance between valuation stability and responsiveness when updating actuarial assumptions. The study concludes that assumption update frequency is an important consideration in insurance contract valuation because the timing of assumption revisions can influence projected cash flows, liability estimates, and contract values. It is therefore recommended that insurers regularly review relevant actuarial assumptions, monitor changes in underlying insurance and economic experience, and apply comparative and sensitivity analysis when determining appropriate frequencies for updating assumptions.

Keywords: Assumption update frequency, insurance contract valuation, actuarial assumptions, insurance liabilities, mortality assumptions, interest rate assumptions, expense assumptions, policyholder behaviour, actuarial present value, contract values, valuation estimates, actuarial modelling, assumption revisions, liability measurement, sensitivity analysis.