Part IV. Actuarial Present Value Process
-
Introduction
The actuarial present value process is the product of three components — the contingency, interest, and the benefit. To an actuary, a contingency is an event to which a probability or percentage of occupance can be assigned. If an event has a 20% probability of occupance and if the event happens a benefit of $100 is made then expected value of the event is 20% x $100 = $20. This differs from the concept some persons with a legal background have of a contingent event — if an event has a probability of less than 50% of occurring it is assumed that it will not occur and if the event has a probability of 50% or more of occurring is assumed the event will occur. This flawed logic would value an event with a probability of just 20% as an event that would not happen.
The probability of occupance times the benefit to be paid gives the expected value of the benefit at the time of occupance. If the time of occupance is at some point in the future this value has to be discounted back to a present value. This is called discounting for interest. The higher the interest rate used for discounting back to present value the lower the present value.
Stephenson [1984] attempts to provide an explanation of the actuarial valuation process.
-
Three Components - Contingency, Interest and Benefits
-
The Three Components Separately
-
Contingency/Actuarial Component
Being alive to qualify for a benefit is the contingency necessary to trigger an annuity payment. The probability of being alive to trigger a benefit payment is calculated from a mortality table suitable for the purpose. This probability of being alive to trigger payment is shown in Chart 1. The middle line shows the probability that a male participant, age 65, will be alive at any time in the future. The right-most line shows the probability that a female alternate payee, age 55, will be alive at any time in the future. The left-most line shows the probability that a male, now age 65, and a female, now age 55, will both be alive at anytime in the future.

-
Interest/Economic Component
The value today of a benefit or benefits payable in the future are discounted for interest to obtain the present value of the benefit(s).

-
Benefit Component
The benefit is determined from a formula defined in the plan. Generally, it is assumed that any automatic post-retirem cost-of-living will be paid.
-
-
The Components Together - The Actuarial Present Value
The actuarial present value process discounts each benefit for interest and the probability that the payment of the benefit will be made.Chart 3 shows the results of combining the three components. The area under the dashed line represents the actuarial present value of a benefit of $1,000 per month payable to a male age 65 without cost-of-living. The area under the dotted line represents the actuarial present value of a benefit of $1,000 per month payable to a female now age 55. The area under the solid line represents the actuarial present value payable to a male age 65 while the Alternate Payee, age 55, is alive.

-
-
Mechanics of the Actuarial Valuation Process — FIDO
To illustrate the mechanics of the actuarial valuation process, we’ll walk through a K-9 example providing pension benefits to Fido, the dog. Suppose we want to provide Fido a pension of $100 at the beginning of each year that Fido is alive. Assume Fido is age 15 and there is one chance is six of Fido’s dying during any year. If Fido is alive at age 25, the pension plan will stop. The first step is to develop a cash flow analysis that is independent of Fido’s survival. The cash flow analysis is given in Columns 1 through 6 of Table 1. The last entry in Column 6 of $724.69 is present value of pension benefits Fido will recieve if he does not die. The next step is to reflect the actuarial, or contingent, nature of payments; that is, Fido must survive (be alive) to recieve the payments. Several methods are available to take this into account:
| Table 1 |
|||||||
|---|---|---|---|---|---|---|---|
Pension Benefits For Fido |
|||||||
AGE |
BENEFIT PAYMENT |
BENEFIT AMOUNT |
INTEREST DISCOUNT |
PRESENT VALUE |
ACCUM. PRESENT VALUE |
MORTALITY DISCOUNT FACTOR |
ACTUARIAL PRESENT VALUE |
| [1] | [2] | [3] | [4] | [5] | [6] | [7] | [8] |
| 15 | 1 | $100.00 | 1.00000 | $100.00 | $100.00 | 1.00000 | $100.00 |
| 16 | 2 | $100.00 | 0.92593 | 92.59 | 192.59 | 0.83333 | 77.16 |
| 17 | 3 | $100.00 | 0.85734 | 85.73 | 278.32 | 0.69444 | 59.53 |
| 18 | 4 | $100.00 | 0.79383 | 79.38 | 357.70 | 0.57870 | 45.94 |
| 19 | 5 | $100.00 | 0.73503 | 73.50 | 431.20 | 0.48225 | 35.45 |
| 20 | 6 | $100.00 | 0.68058 | 68.06 | 499.26 | 0.40188 | 27.35 |
| 21 | 7 | $100.00 | 0.63017 | 63.02 | 562.28 | 0.33490 | 21.11 |
| 22 | 8 | $100.00 | 0.58349 | 58.35 | 620.63 | 0.27908 | 16.28 |
| 23 | 9 | $100.00 | 0.54027 | 54.03 | 674.66 | 0.23257 | 12.57 |
| 24 | 10 | $100.00 | 0.50025 | 50.03 | 724.69 | 0.19381 | 9.69 |
| 25 | 11 | none | 0.46319 | - | 724.69 | Total –> | 405.08 |
-
Assumed Age at Death Method
In this method we just assume the age at which death will occur. For example, if we assume Fido will die at age 18, then the actuarial present value would be $357.70 (the entry in Column 6 for age 18). A practical application of this method would be to have an actuary prepare a cash flow analysis and have the court determine the age of death based on evidence presented at trial.
-
Life Expectancy Method
This is a special case of the assumed age at death method and assumes death will occur at the life expectancy age. The future life expectancy to age 25 (when benefits stop) for Fido is 4.434 (from Table 2). Thus, the actuarial present value would be $431.20 (the entry in Column 6 of Table 1 for age 19).
-
Actuarial Method
In this method, payment of each benefit is contingent upon Fido being alive at the time the payment is made. The measure of this contingency, which is the probability that Fido will be alive at the beginning of each year of age in order to receive the pension payment, is shown in Column 7. This measure is calculated from the assumption that the chance of death during each year is one in six; hence, the probability of survival for each year is five in six, or 0.833333. Therefore, the probability of survival for two years is 0.83333 x .83333, or .69444. The present value of each payment (Column 5) is weighted by the probability of payment (Column 7) and shown in Column 8. Column 8 represents the present value of each payment weighted by the probability that it will be paid. The total of Column 8, $405.08, is the actuarial present value of Fido’s pension.
-
Monte Carlo Method
A refinement of the actuarial method is to realize that death is a random event and may occur at any time. The Monte Carlo method can be used to simulate life and death and determine for us when Fido will die. Since the probability of Fido dying during any year is one in six, we can borrow from the Russian version of roulette to simulate Fido’s future.We know Fido is alive at age 15 and so we pay Fido $100. Will Fido live to age 16? To find out, we spin the chamber of the revolver and fire. If the bullet comes out, Fido dies, and no more pension payments are made. Fido has received one payment, and the actuarial present value in this scenario (death in the first year) is $100.00. If no bullet comes out, Fido lives to age 16 and receives a second payment.
Will Fido live to age 17? To find out, we spin the chamber and fire the revolver again. If the bullet comes out, Fido dies while age 16, and two pension payments are made, the present value of which is $192.59.If large numbers of simulations on Fido’s life are made and the results averaged, the result will be the same as in the actuarial present value method $405.08.To apply the Monte Carlo method in a practical situation, the computer is used to generate a random number between 0 and 1. An appropriate mortality table is consulted to find the probability of death for the year of age involved. If the random number generated by the computer is less than the probability of death in the mortality table, death is assumed to have occurred during the year and the process is aborted. If the random number generated by the computer is greater than the probability of death for the year of age involved shown by the mortality table, we assume survival, calculate the discounted value of the payment to be made, and add this to the accumulated present value column. The age is advanced and the process repeated. The advantage of the Monte Carlo method over the actuarial method is that a distribution of present values is developed, the average of which is the actuarial present value. The disadvantage of the Monte Carlo method is that to obtain a valid distribution of present values, several thousand simulations have to be made. Hence, the Monte Carlo method is not often used.
-
Calculating Life Expectancy
The data on Fido can be used to illustrate how life expectancy is calculated. If we remove the decimal point in Column 7 of Table 1 and assume we have 100,000 dogs alive at age 15 and 83,333 alive at age 16, then each of the 83,333 dogs who survive to age 16 have lived one year; in other words, 83,333 years of life have been lived between age 15 and age 16 of the 83,333 dogs who ended the year. If we assume each of the 16,667 dogs who died between age 15 and age 16, on the average, lived one-half year, then these dogs who died lived a total of 8,333 years during their last year of life. This process, repeated for each year of age, is summarized in Table 2. The total of Column 6 (443,403) represents the total years of life lived after age 15, until age 25, by the original 100,000 dogs at age 15; thus, each dog, on the average, lived 4.434 years after age 15 or until age 19.434.
Table 2END OF YEARDOGS ALIVE
END OF YEARDOGS DIED
DURING YEARYEARS LIVED DURING YEAR BY:SURVIVORSDEATHSTOTAL[1] [2] [3] [4] [5] [6] 1 83,333 16,667 83,333 83,334 91,667 2 69,444 13,889 69,444 6,944 76,338 3 57,870 11,574 57,870 5,787 63,657 4 48,225 9,645 48,225 4,822 53,047 5 40,188 8,037 40,188 4,018 44,206 6 33,490 6,698 33,490 3,349 36,839 7 27,908 5,582 27,908 2,791 30,699 8 23,257 4,651 23,257 2,326 25,583 9 19,381 3,876 19,381 1,938 21,319 10 zero - - - -