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ACTUARIAL NOTATION

1)vs, t discount function - this is a function that takes an amount payable at timetand re-expresses it in terms of its implied value at times. Why would its implied value be different? Because of the time preference for money. A dollar today is usually

considered to be worth more than a dollar next year because something can be done with the dollar today to yield more than a dollar in a year. Timescan be beforet, in which case the function really does discount (reduce in value), or it can be aftert, in which case the discount function is often referred to as an accumulation or growth function. Whensis today (s  0), the convention is to writev0, tasvt, and ifvtis a constant, justv. Key formulas are: (i)vs, tvt, u  vs, u, (ii)vs, t  vt, s1.

2)dk discount rate - this is not the discount function, but it is closely related. vk, k  1is the value at timekof 1unit accruing at timek  1. This is less than one, so there is a decrement or loss in value when the future amount is restated in terms of present value. The decrement amount is the discount rate, hencedk  1  vk, k  1. Note it is expressed as a positive quantity.

3)ik interest rate - this is a quantity that in a sense is inverse to the disccount rate. The value at timek  1of 1unit accruing at timekisvk  1, k. This is greater than one, so there is an increment or gain in value. The increment amount is the interest rate, henceik  vk  1, k  1. Recalling thatvk  1, k  vk, k  11, any one of the three quantitiesdk,ik, and vk, k  1can be expressed in terms of any other. Key formulas are: (i) dk ik

1  ik

, (ii)ik dk

1 dk .

4)c  c0, c1, , ck, , cn cashflow vector - this is a new notation favored by the author to summarize a discrete cash stream, wherec0is an amount accruing at time0, and in generalck accrues at timek. Positive entries correspond to money received and negative entries to money paid. Obviously the same cash stream event can be viewed from either the payor or payee’s standpoint, and the cashflow vectors for each would have equal but opposite components. The vector notation works well with summations.

5)Valjc; v value of the cashflow vectorcat timejrelative to the discount functionv- this is what the cash stream represented by the cashflow vector is worth at various times.Val0c; vis the present value of the cash stream. Key formulas are: (i) Valjc; v 

k1 n

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value at timejand they are all added up. Some elements of the cash stream grow (when j  kand some are diminished (whenj  k. (ii) the value function is linear..

Valjc d; v  Valjc; v  Valjd; v

6)äc; v this is the same asVal0c; v. Traditionally, actuaries denoted an annuity byaand an annuity due (payment made immediately at the beginning of the first time period) byä. If the first payment of an annuity due is zero, then it is really just a regular

annuity. The author uses this gimmick to retain the traditional notation by considering all annuties to be due, but when they are actually regular annuities, the understanding is that c0  0. If the discount function is constant, it is often suppressed, so you may seeäc.

7)ä1n the1nmeans that1appears as every component in the cashflow vector. So1n  1, , 1. Sincevdoes not appear explicitly, we take it as a constant. Key formula:ä1n 1 v

n

1 v , which comes from the geometric progression sum formula.

8)äjnjn is the vector1, 2, , n  1, n, which represents a cash stream that is an arithmetic progression. In pre-spreadsheet days, cash streams that had regular

patterns to them were important because there were simple formulas to evaluate their present values, such as the formula in (7) and the one immediately below. Spreadsheets have made regularity less of an issue these days as the calculations can be done easily by brute force (cut-and-paste programming). Key formula:äjn ä1n  nv

n

1 v .

9) kcandkc this notation is intended to allow splitting of a cash stream into the part before timekand the part after timek. The part at precisely timekgoes with the "after". This convention is standard but a little confusing...settlements occuring at timek (payments in or out) are not figured into the valuation of a balance at timek. This is the way they do it in the insurance business...banks have a slightly different approach (see (12)). If

c  c0, c1, , ck, , cn, then kc c0, c1, , ck1, 0, , 0and kc 0, 0, 0, ck, , cn. You might remember this better if you associate "subscript down" with beginning and "subscript up" with end. Key formula:c  ckk c, which is nothing more than the definition.

10)Bkc; v this is the balance of the cash stream given bycat timek. It is the value of all payments made up to (but not including, see(9)) timek, restated with their imputed values at that time. Specifically,Bkc; v 

j1k1vk, jcj, which may be recognized asValkkc; v. Again, the discounting pegs all values to timek, but the actual payment at timekis excluded.

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11) kVc; v this is the reserve implied by the cash stream at timek. It is the value of all payments that are still to be made discounted back to timek. The normal situation is that these payments represent an obligation on the part of whomever owns this particular cashflow vector (recall there are two viewpoints for every cashflow vector). Since the reserve consists of cash owed, we take the negative and write kVc; v  

jk

n

vk, jcj, which is the same asValkkc; v. Key formulas: (i)Valkc; v  Valkkc; v  Valkkc; v, or Valkc; v  Bkc; v k Vc; v(ii) ifcis a cashflow vector that is zero at all times (for

example, when we try to determine internal rates of return), thenBkc; v k Vc; v  0for all k, and we can see that the balance and reserve are always equal.

12)Bkc; v this is the augmented balance, more commonly used for loans. We just append the payment at timekto the balance at timek. SoBkc; v  Bkc; v  ck.

13) theoperator it may be useful to shift the time origin for a cashflow calculation, and it that case we writec k to indicate that we have discarded the firstk 1 components ofc  c0, c1, , ck, , cnand we are now working withck, , cn. Note carefully that this is not the same ask

c 0, 0, , 0, ck, , cn...the dimension of the vector has been reduced byk. So componentwise,c  kj  ckj. The time-shift operator may also be applied to discount functions, where the shifted discount function

vn  k, m  k  v  km, n. This is the author’s notation...it could be simplified to v

m, n  vn  k, m  k  v  k, which makes more intuitive sense to me.

14)an| this notation is traditional and hard to read....the subscript isn|, which is a right angle symbol enveloping then. The angle symbol means duration, soan| is a unit cash stream that extends forntime periods and has no payment initially. We have

an|  ä0, 1n. In the event that there is an initial payment, we put the two dots over the angle-subscriptedaas well -än|  ä1n.

15)sn| actuaries usesto represent accumulated (summed) value. sn|  Valn0, 1nand similarly with the two dots.

16)x this is the number of people alive on theirxth birthday. Our author adds the additional qualification that these people were alive on their zeroth birthday (live births), but that seems redundant to me. One assumption is that we have a fixed initial cohort.

17)dx this is the number of people who were alive on theirxthbirthday but died before theirx  1st birthday. Sodx  x x1. Note thatxregarded as a function ofx

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is monotone decreasing.

18) npx this is the probability that a person agedxwill live to ben  x. Key formula: npx  xn

x ..this is the ratio of the death-depleted cohort to its original size.

Whenevern  1, it is customary to writepxand suppress the1. Note that by dividing by the original cohort size, the absolute population counts are reduced to probabilities, and our calculations are uncoupled from the census particulars. Thex numbers are facts on the ground that pertain to specific populations. It is a research and statistical problem to assemble an accurate picture of the pattern of mortality in a population. Once this is done, however, the implied probabilities can be presented in a mortality table as a starting point for our life actuary calculations.

19) nqx this is the probability that a person agedxwill not live to ben  x. They may die anytime during the intervening interval ofnyears. Certainlynpxnqx  1. Whenevern  1, it is customary to writeqxand suppress the1.

20 this is the lowest age at which everyone is assumed to have died. There may still be some survivors with age  1. Usually it is taken as120years.

21)x for talking purposes, a generic person of age xis denoted byx

22)ex this is life expectancy at agex, defined to be the average number of years thatxmay expect to live beyond his present age. So his expected age at death will bex  ex. Technically, this is the curtate life expectancy to differentiate it from the complete life expectancy, denoted byex , which accounts for the fact that not everyone is cooperative enough to die on their exact birthday. A reasonable assumption is that deaths among individuals of agexbefore they becomex  1are uniformly distributed. Hence the mean of that distribution is 1

2 year, and we add that to the curtate to obtain the complete life

expectancy:ex ex 1

2. Calculation ofexis intuitively clear...starting with a cohort of size

x, they will as a group livex1 years the first year, then this group will account forx2 more years lived, and so forth. It all stops when we get to1, since anyone still alive will die before age. Hence the total number of additional years lived by the original cohort is

k11

lxk. Dividing by the size of the original cohort gives the average number of additional years lived by anyone in the cohort:ex  1

x

k1 1 lxk

k11 xk x . But xk xk px, so ex

k1k1px. Note that younger people have higher life expectancies, but older people have higher expected ages at death. The popular understanding of life expectancy is that it ise0, and this is used as a quality of life measure in comparing countries.

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23)äxc this is the single premium today for an annuity on the life ofxwith payout vectorc.äxc 

k0x1ckvkkpx. You can understand this formula as follows.x may live another  x  1years at most, so the payments to him at each of those years must appear in the sum.xis scheduled to receiveck in yeark. The present value of such a payment isckvk. Moreover, there is a probability thatxwill not live to hisx  kth birthday, in which case the insurer will not have to make that payment. Thekpx constitute a discrete probability distribution thatxwill survive during yeark...we know they sum to1 becausexis not immortal. The expected value of the payment stream is then precisely the various amountsckvk weighted by their respective probabilitieskpx, summed over all possible years. Individually,ckvkkpxis the current premium that would have to be charged on average to the recipientxfor a pure endowment ofck, payable, of course at yeark.

24)yxk, n interest and survivorship discount function. It combines the influence of the time value of money with the mortality of the recipient. It is defined as

vnnpx

vkkpx . Conceptually, it is the ratio of the mortality-corrected discount function at yearnto the mortality-corrected discount function atk. So when we discount an amount usingyxk, n wherek  n, say, we get a little reduction in the uncorrected rate due to the ratio of

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