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EFFECT OF RISK ADJUSTMENT DIVERSIFICATION BENEFITS ON INSURANCE CONTRACT VALUES

Format: MS WORD  |  Chapter: 1-5  |  Pages: 65  |  7 Users found this project useful  |  Price NGN5,000

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Effect of Risk Adjustment Diversification Benefits on Insurance Contract Values

 

Abstract

The risk adjustment for non-financial risk is an important component of insurance contract measurement under IFRS 17 because it reflects the compensation required by an insurer for bearing uncertainty arising from non-financial risks. When risks within an insurance portfolio are not perfectly correlated, diversification may reduce the overall level of uncertainty and consequently affect the risk adjustment. The recognition of diversification benefits may therefore influence the measurement and value of insurance contracts. This study will examine the effect of risk adjustment diversification benefits on insurance contract values. It will assess how diversification across different insurance risks, policy groups, geographical areas, or product categories influences the calculated risk adjustment and the resulting value of insurance contracts. The study will also determine the extent to which changes in risk dependence and diversification assumptions affect insurance contract measurement. The study will focus on risk adjustment, diversification benefits, insurance contract values, IFRS 17, non-financial risk, risk dependence, insurance liabilities, fulfilment cash flows, portfolio diversification, actuarial valuation, and risk measurement. Statistical and actuarial techniques will be used to analyse the relationships among different sources of non-financial risk and estimate the effect of diversification on the overall risk adjustment included in insurance contract values. A quantitative research approach will be adopted for the study. Historical claims data, expected insurance cash flows, claims variability, portfolio composition, and risk correlation information will be analysed using descriptive statistics, correlation analysis, probability modelling, comparative analysis, sensitivity analysis, and scenario-based actuarial calculations. Alternative diversification assumptions will be applied to selected insurance portfolios to determine their effects on risk adjustment values and overall insurance contract measurements. The study is expected to reveal that risk adjustment diversification benefits may have a significant effect on insurance contract values. Greater diversification across risks with lower levels of dependence may reduce the overall risk adjustment and consequently influence the measured value of insurance contracts. The magnitude of the effect may depend on the degree of correlation between risks, portfolio composition, claims variability, risk concentration, and the methodology used to quantify diversification benefits. The study will be useful to actuaries, insurance companies, accountants, financial reporting specialists, valuation professionals, regulators, auditors, and researchers. It may provide useful information for assessing diversification effects in risk adjustment calculations, improving IFRS 17 liability measurement, strengthening actuarial risk modelling, and supporting more consistent insurance contract valuation. The findings may also assist insurers in understanding how portfolio diversification and risk dependence influence measured insurance obligations. The study concludes that risk adjustment diversification benefits are important considerations in determining insurance contract values because the interaction among different sources of non-financial risk can influence the overall level of risk adjustment. It is therefore recommended that insurers use reliable risk dependence information, apply appropriate diversification methodologies, and conduct sensitivity analysis to assess the effect of diversification assumptions on insurance contract values.

Keywords: Risk adjustment, diversification benefits, insurance contract values, IFRS 17, non-financial risk, risk dependence, insurance liabilities, fulfilment cash flows, portfolio diversification, risk concentration, actuarial valuation, claims variability, correlation analysis, insurance contract measurement, actuarial risk modelling.

 

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