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Actuarial Present Value and Sensitivity Analysis Actuarial Present Value and Sensitivity Analysis

What does an Actuary do? What does an Actuary do?

Areas of Actuarial Work Life Insurance Property and Casualty Insurance (P&C) Health Insurance Pension Areas of Actuarial Work Life Insurance Property and Casualty Insurance (P&C) Health Insurance Pension Consulting

Life Insurance Life companies principally serve two functions ◦ to insure against financial loss Life Insurance Life companies principally serve two functions ◦ to insure against financial loss in result of death ◦ to save and invest money for retirement Less exposed to risk than P&C companies Invested in longer term assets

Types of Products ◦ Term Life, Whole Life, Universal and Variable Universal ◦ Fixed, Types of Products ◦ Term Life, Whole Life, Universal and Variable Universal ◦ Fixed, Deferred, and Variable Annuities ◦ Asset Management, Mutual Funds

Why do companies use life tables? To help predict the amount that will be Why do companies use life tables? To help predict the amount that will be paid out in claims (known as liabilities) Example: ◦ Tom, aged 22, buys a one year, $250, 000 term policy ◦ Expected claims equals total amount at risk times the probability of claim ◦ Expected claims = $250, 000*0. 000987=$246. 75 Note that $246. 75 is the average amount of claims expected by the insurance company Actual claims may differ substantially

The Collective Risk Pool The basis of insurance A large number of people buy The Collective Risk Pool The basis of insurance A large number of people buy an insurance product Only some of them will be affected – The risk is shared among the group The company is able to predict total claim amounts of the entire risk pool accurately

The Time Value of Money A dollar today is worth more than a dollar The Time Value of Money A dollar today is worth more than a dollar one year from now ◦ At 7 % interest, $1. 00 becomes $1. 07 one year from now, but $1 received one year from now is worth: $1. 00/1. 07=$0. 93 PV = FV/ (1+i)^t

Whole Life Example Suppose Tom, aged 22, buys a $250, 000 whole life policy. Whole Life Example Suppose Tom, aged 22, buys a $250, 000 whole life policy. ◦ His expected number of years left is 56. 5 ◦ That means on average, the company will pay out $250, 000 in 56. 5 years. ◦ PV = FV/ (1+i)^t ◦ The present value of this liability is thus: $250, 000/(1. 07)^(56. 5)=$5, 467. 09

Limitations of these examples The probabilities I used were taken from data representing ALL Limitations of these examples The probabilities I used were taken from data representing ALL of the U. S. population ◦ Mortality rates are known to differ according to certain socioeconomic, demographic, gender, and health factors ◦ Companies must draw up their own life tables based on their own customer base The actual modeling process of these life policies is much more complex than indicated

Where does the Actuary come in all of this? I worked in an area Where does the Actuary come in all of this? I worked in an area of the company known as Corporate Actuarial ◦ Statutory income statements and balance sheets

Actuarial Present Value 3 basic components of valuing an insurance policy ◦ Expected present Actuarial Present Value 3 basic components of valuing an insurance policy ◦ Expected present value of premiums (known as assets) ◦ Expected claims (liabilities) ◦ Cost of selling the contract by insurance salesmen (called “financial representatives”) Total Value=Expected value of assets – Expected value of liabilities – acquisition costs

My First Project: Sensitivity Analysis The value of a contract changes over time PV My First Project: Sensitivity Analysis The value of a contract changes over time PV = FV/ (1+i)^t Assumptions that can change the value of an insurance contract ◦ Mortality Rates: causes change in present value of liabilities due to when claims are paid out ◦ Interest Rates: causes change in how much future dollars are worth – generally affects assets more, but not always ◦ Managing interest rate risk is known as duration analysis

Sensitivities to be tested: Mortality/Morbidity: Mortality/Morbidity rates were scaled up and down by 10% Sensitivities to be tested: Mortality/Morbidity: Mortality/Morbidity rates were scaled up and down by 10% in the ALFA model Interest/Discount rates: Up and down 1% from 7% Equity Rate: Increased/Decreased rates premiums grew at up and down 1% Lapse/Termination rates: Up and down by 10% Rates chosen to provide input for an upcoming audit of the firm’s financial statements

Appendix Bellis, Claire et al. , Understanding Actuarial Management: The Actuarial Control Cycle Black, Appendix Bellis, Claire et al. , Understanding Actuarial Management: The Actuarial Control Cycle Black, Kenneth Jr. and Harold Skipper Jr. , Life Insurance Easton, Albert E. and Timothy F. Harris, Actuarial Aspects of Individual Life Insurance and Annuity Contracts Hull, John C. , Options, Futures, and Other Derivatives

Conclusion Thanks for coming Any Questions? Conclusion Thanks for coming Any Questions?