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EFFECT OF ACTUARIAL ASSUMPTION LOCK-IN PERIODS ON INSURANCE VALUATION

Format: MS WORD  |  Chapter: 1-5  |  Pages: 65  |  61 Users found this project useful  |  Price NGN5,000

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Effect of Actuarial Assumption Lock-In Periods on Insurance Valuation

 

Abstract

Actuarial assumption lock-in periods refer to the length of time during which selected assumptions used in insurance valuation remain unchanged before they are reviewed or updated. These assumptions may relate to mortality, interest rates, expenses, policyholder behaviour, and other factors that influence the measurement of insurance liabilities and contract values. The duration of an assumption lock-in period may therefore affect the responsiveness and consistency of insurance valuation results. This study will examine the effect of actuarial assumption lock-in periods on insurance valuation. It will assess how different periods for maintaining actuarial assumptions influence the estimated value of insurance liabilities and related contract measurements. The study will also compare valuation results obtained under alternative lock-in periods to determine the extent to which the timing of assumption updates affects insurance valuation outcomes. The study will focus on actuarial assumption lock-in periods, insurance valuation, mortality assumptions, interest rate assumptions, expense assumptions, policyholder behaviour, insurance liabilities, actuarial present values, valuation estimates, and assumption updates. Alternative lock-in periods will be examined to identify differences in liability values and other actuarial measures. Actuarial and statistical techniques will be applied to evaluate the effects of maintaining assumptions over different periods. 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. Valuation results generated under different assumption lock-in periods will be compared to determine variations in insurance liability estimates and contract values. The study is expected to reveal that actuarial assumption lock-in periods may have a significant effect on insurance valuation. Longer lock-in periods may provide greater consistency in valuation assumptions but may delay the incorporation of changes in underlying risk and economic conditions, while shorter periods may allow valuations to respond more quickly to changing experience but may result in greater fluctuations in reported values. The magnitude of the effect may depend on the type of assumption, changes in mortality and economic conditions, portfolio characteristics, and the frequency of assumption updates. The study will be useful to actuaries, insurance companies, valuation specialists, pricing analysts, financial managers, regulators, risk managers, and insurance researchers. It may provide useful information for determining appropriate periods for reviewing actuarial assumptions, improving insurance liability measurement, assessing valuation stability, and strengthening actuarial decision-making. The findings may also assist insurers in evaluating the balance between valuation consistency and responsiveness to changing risk conditions. The study concludes that actuarial assumption lock-in periods are important considerations in insurance valuation because the timing of assumption updates can influence the measurement of insurance liabilities and contract values. It is therefore recommended that insurers establish appropriate assumption review periods, monitor changes in relevant risk and economic factors, and conduct sensitivity analysis to assess the valuation effects of alternative assumption lock-in periods.

Keywords: Actuarial assumption lock-in periods, insurance valuation, actuarial assumptions, insurance liabilities, mortality assumptions, interest rate assumptions, expense assumptions, policyholder behaviour, actuarial present value, valuation estimates, assumption updates, actuarial modelling, liability measurement, insurance contracts, sensitivity analysis.

 

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EFFECT OF ACTUARIAL ASSUMPTION LOCK-IN PERIODS ON INSURANCE VALUATION

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