An Overview of Financial Mathematics

Size: px
Start display at page:

Download "An Overview of Financial Mathematics"

Transcription

1 An Overvew of Fnancal Mathematcs Wllam Benedct McCartney July 2012 Abstract Ths document s meant to be a quck ntroducton to nterest theory. It s wrtten specfcally for actuaral students preparng to take exam FM/2 jontly offered by the Socety of Actuares and Casualty Actuaral Socety. As such, ths gude wll follow the course objectves for the August 2012 sttng. That beng sad, I hope t wll be of some use to anyone studyng fnancal mathematcs. It s best used n conjuncton wth another more rgorous text. I recommend Mathematcal Interest Theory by Vaaler & Danel. Both the Actex and ASM manuals are very helpful n preparng for exam FM thanks to ther thousands of practce problems. Ths gude covers the tme value of money, annutes, loans, bonds, stocks, nterest rates, and an ntroducton to dervatves, forwards and futures. 1

2 1 Introducton to the Tme Value of Money 1.1 Interest Explaned The central dea of nterest theory s that the same amount of money s worth dfferent amounts at dfferent tmes. In other words, a ratonal person would rather have fve thousand dollars rght now than the promse of fve thousand dollars n three years the ratonal person has the opton to save the money for three years or to do somethng else wth t. Ths or adds value to havng the money now. Because of ths dfference n values a lender who loans money to a borrower can reasonably charge hm for t. The money that the borrower pays to the lender s called nterest. Most of us, much to Polonus dsmay, are both borrowers and lenders. We ve borrowed money to pay for our cars and therefore have to pay some amount of nterest on that loan. At the same tme we ve lent money to the bank (by depostng our money there) and they pay us nterest. There s a reason that the nterest rate, the rate that determnes the amount of nterest owed, s dfferent n our arrangement wth the car dealershp and the bank s arrangement wth us: we are rsker. The dealershp has far reason to worry that I mght splt wthout payng for all of the car or fnd myself bankrupt and unable to pay. The dealershp s tryng to put a prce on the rsk they are acceptng. Therefore, f I am able to convnce the dealer I m a sure thng to pay t all back, I mght be able to get a lower rate. On the other hand, I m not at all concerned that the bank s gong to run away wth my money so I can t reasonably charge them a hgh rate for borrowng my money. However, I am stll assumng some rsk, the bank mght go under, so I do charge some nterest. These are just two examples of hundreds of dfferent ways that people and organzatons can lend money to each other. Ths revew gude s more concerned wth valung the nterest and determnng the value of money at dfferent tmes than workng out what a far nterest rate s or why nterest exsts. Those topcs wll be explored n exams MFE/3F and MLC/3L. For now, just assume a non-negotable nterest rate and don t worry too much about why exactly t exsts. 1.2 Smple and Compound Interest Let s assume that you depost some money nto a savngs account at a bank and plan to leave t there for a whle wthout depostng nto t or wthdrawng from t. The amount of money n the account wll therefore ncrease over tme as the bank adds the nterest payments to the savngs account. Ths phenomenon s called the growth of money or tme value of money. The money can grow n one of two man ways. 2

3 The frst s that each year the bank mght add some percent of the orgnal amount deposted. For example, you mght depost $100 nto the account. Then one year later the bank adds an nterest payment of amount $5 so that the savngs account contans $105. Then one year after that, two years after the orgnal depost was made, the bank adds another $5 nto the account so that the account contans $110. Ths model of growth s called smple nterest and can be represented by the followng equaton: A(t) = K(1 + t) (1) where A, the amount functon, s the value of the account at tme t; K, the prncpal, s the amount orgnally deposted; s the nterest rate governng the account; and t s the tme snce the orgnal depost. In ths example, A(0) = $100, A(1) = $105, A(2) = $110, K = $100, and =.05 (remember, the nterest rate s just that, a rate). Sometmes t s more convenent to deal wth the case n whch just one dollar was orgnally nvested. a(t) = 1 + t (2) Here a s called the accumulaton functon. Note that A(t) = Ka(t). Smple nterest s not used very much n the real world for an obvous reason. Look back over the example and see f you can fgure out why. A savvy nvestor, nstead of dong what the nvestor n the example dd, would take hs $105 and open a brand new account. That way at the end of the second year the bank would add = 5.25 to hs account. Ths nvestor was able to take advantage of the system and get an A(2) equal to $ The banks forseeng ths problem usually offer a savngs account that grows accordng to compound nterest. A(t) = Ka(t) = K(1 + ) t (3) To explore smple and compound nterest n more depth t s necessary that I ntroduce some new vocabulary. The effectve nterest rate, [t1,t 2], tells us the rate that corresponds to the amount of nterest pad n the nterval [t 1, t 2 ]. [t1,t 2] = a(t 2) a(t 1 ) a(t 1 ) = A(t 2) A(t 1 ) A(t 1 ) Note that the nterval [n 1, n] s called the n th perod. Wth these defntons n hand, t s clear that for smple nterest the effectve nterest rate s constantly decreasng whle for compound nterest t s the same regardless of the perod (look back to the example and verfy ths for yourself). 1.3 Nomnal Interest Rates In our example the nterest was pad at the end of each year. But there s no reason that the nterest must be pad yearly. Indeed, t s very often pad monthly, quarterly, or sem-annually. Ideally, we would always be gven the effectve rate for the nterval and the length of the nterval. For example, an (4) 3

4 nvestment mght pay 1% per month (f t doesn t say nterest s smple or compound, t s assumed to be compound), and we would know that at the end of each month our nvestment would be worth 1.01 tmes what t was worth at the begnnng of the month. Unfortunately, ths s not always the case. The nomnal nterest rate s the nterest rate per perod tmes the number of those perods n a year. In our example we would say the nvestment pays nterest at a nomnal rate of 12% convertble/credted/payable monthly. Ths nomnal rate s wrtten (12) = 12% (note the paranthess around the 12, t s not an exponent) and we say upper twelve. Note that f we deposted $100 n ths account we would not have $112 at the end of the year but rather $(100)(1.01)(1.01)...(1.01) = (100)(1.01) 12 = $ We can use formula (4) to determne that ths account pays nterest at an annual EIR of = 12.68%. There s a specfc formula for convertng a nomnal nterest rate to an effectve nterest rate, but I prefer to thnk about what s actually happenng to the money. a(t) = (1 + ) t = ) tm (1 + (m) (5) m You can then rearrange whatever you want to solve for what the problem requres. 1.4 Dscount Rates So far, I ve talked about what happens when an amount of money changes hands at the begnnng of a tme perod and nterest s pad on that money. But sometmes, two partes make an arrangement where the money changes hands at the end of a tme perod nstead. Snce the money s worth more now than n the future, the person gettng the money at the end of the year ought to get a cheap prce on t. In other words, he gets t at a dscounted prce. A smple example best demonstrates the dfference between dscount and nterest rates. The nterest rate s the amount the money grows. The nvestor lends $100 to the bank, the bank pays hm 5% nterest, and at the end of the year the nvestor gets $105. The dscount rate s the rate at whch the money s dscounted. The nvestor lends the bank $95 and at the end of the year the bank pays hm $100. In ths case the dscount rate was 5%. We calculate the effectve dscount rate n a smlar fashon to how we calculated the effectve nterest rate. d [t1,t 2] = a(t 2) a(t 1 ) a(t 2 ) = A(t 2) A(t 1 ) A(t 2 ) In our ntroductory example we had just one dscount tme perod, but there can, of course, be multple perods. Both smple and compound dscountng (6) 4

5 exst. a(t) = 1 1 dt (7) a(t) = (1 d) t (8) Also note that dscount rates can be be wrtten as nomnal rates. The concepts are all equvalent to the nterest rate concepts. The followng equalty wll be useful. ) pt a(t) = (1 d) t = (1 d(p) (9) p The prevous example also shows how nterest and dscount rates are related. A dfferent nvestor at a dfferent bank could have lent the bank $95 and watched that money grow, accordng to some nterest rate, to $100. Be aware that the $95 dd not grow at an nterest rate of 5% but =.0526 or 5.26%. A lttle algebrac manpulaton of equatons (4) and (6) reveals that (1 + )(1 d) = 1 (10) Wth the concept of dscountng we are now well prepared to truly understand the noton of the tme value of money. 1.5 Present and Future Values After readng the prevous example comparng nterest and dscount rates a natural thng to wonder s how much money dd the nvestor have to nvest at the frst bank where the nterest rate was 5% to end the perod wth $100. To fgure ths out, smply use equaton (3) and solve for K. In fact, ths sort of calculaton s done so often that a new functon, called the dscount functon, s used. The dscount functon s, of course, the nverse of the accumulaton functon. v(t) = 1 a(t) (11) To make very clear what values we are referrng to, we use the terms present value and future value. The present value s the value of the money rght now. The future value s the value of that same money plus the accumulated nterest. F V = P V a(t) (12) It should be becomng clear how the dscount rate plays a role n ths. Let s say an nvestor wants hs nvestment to grow to $1 over the course of the year. The 1 present value he has to nvest s 1+. Recall that the dscount rate s the rate that tells us how much the future value s on sale or marked down. Therefore, d = = 1 + (13) 5

6 Ths s smply another way of wrtng what we already algebracally showed n equaton (7). Fnally, we see that 1.6 The Force of Interest d = 1 v (14) Whle generally accounts pay nterest n dscrete ntervals, t s theoretcally possble that an account could pay nterest contnuously. To calculate what the accumulaton functon s under contnuous nterest you can do a couple thngs. One, you can take a lmt of a nomnal rate. Frst, we wll defne the force of nterest, δ, as follows. lm m (m) = ln(1 + ) = δ (15) It s not necessary that you be able to prove t for exam FM, but t s a good proof to know. Wth that defnton and a recollecton of the defnton of e n hand we can fnally calculate the accumulaton functon. lm m ) m (1 + (m) = lm e(m) = e δ (16) m m A completely dfferent approach s to start wth what contnuous nterest actually means. It means that at every pont n tme your nstantaneous change n your account s δ tmes the amount of money currently n the account, snce that s the nterest amount payable. Mathematcally we can wrte: d a(t) = δa(t) (17) dt Ths s just an elementary dfferental equaton wth soluton: a(t) = e δt (18) I ll reassure you now that you don t need to be able to derve the accumulaton functon under contnuously compounded nterest. Smply memorzng the accumulaton functon s suffcent. The last explanaton ntroduced the dea of the nstantaneous change n the account value. Whle solvng the dfferental equaton we see that δ = a (t) a(t). In that case, the force of nterest, δ, was constant. However, n accounts earnng dscrete nterest there s also a force of nterest at all tmes. And, as luck would have t, the formula s the same. The only dfference wll be that δ wll depend on tme,.e., t s not a constant. In general, gven a δ functon n terms of t we can determne what a(t) s. t a(t) = e δ(u)du 0 (19) 6

7 1.7 Bg Equaton The prevous sectons have ntroduced the most common ways that money can grow. All of the nterest theory presented so far can be represented by one bg equalty. a(t) = (1 + ) t = (1 + (m) m ) mt ) pt = (1 d) t = (1 d(p) = e δt (20) p And f, nstead of fndng the future value of some amount of money, you need to fnd a present value use v(t) = 1 a(t). 1.8 Inflaton Inflaton s defned as the natural ncrease n the cost of goods. Inflaton as a concept s complcated and beyond the scope of the overvew, but ts mpact on the value of money s mportant. As a smple example, n 1980 $100 could buy 278 wdgets whle today t can only buy 100 wdgets. It s reasonable to assume that n the future $100 wll buy even fewer wdgets. In other words, nflaton eats away at the value of money. Because of ths, there s an mportant rate, the real nterest rate, that descrbes how the purchasng power of money grows over tme. 1 + j = 1 + (21) 1 + r where j s the real nterest rate, s the nterest rate, and r s the rate of nflaton. Be forewarned that the notaton wll change n the later exams. It s standard exam FM notaton, though. 1.9 Equatons of Value Up to ths pont I have only presented stuatons that nvolve a sngle present value and a sngle future value that can be related by usng a sngle dscount or accumulaton factor. However, the real meat of fnancal mathematcs s puttng these concepts to use n more complcated cash flows. A classc example mght ask us to fnd the present value of three payments assumng a compound nterest rate of 6%. A payment of $1000 made one year from now, a payment of $5000 made two years from now, and a payment of $3000 made three years from now. The present value can smply be thought of as the sums of the present values of four dfferent future values. P V = (1000)(1.06) 1 + (5000)(1.06) 2 + (3000)(1.06) 3 = $ (22) Another problem mght assume that the nterest rate s 4% n the frst year and 7% n the second year. Fnd the present value of $2000 pad at the end of the 7

8 frst year and $3000 pad at the end of the second year. For problems lke ths t s helpful to draw a tmelne. P V = (2000)(1.04) 1 + (3000)(1.07) 1 (1.04) 1 = $ (23) To fnd the future value of ths set of cash flows at the end of year 2, you can ether brng forward the present value amount we solved for or the ndvdual cash flows. Draw a tmelne. F V = ( )(1.04)(1.07) = $ (24) F V = (2000)(1.07) = $ (25) There are several dfferent ways to solve these sorts of problems. It helps to always break t down nto lttle bts money moves from one perod to the next perod at some rate. It s always possble to solve equatons of value ths way. There are many, many examples of them and I encourage you to do enough of them untl you feel comfortable movng money around accordng to the theory lad down n ths frst secton. 2 Annutes An annuty s a knd of cash flow that nvolves payng the owner a fxed sum of money each year for some number of years. The key thng to remember s that the amount of money pad s fxed. Ths wll allow us to reduce PV and FV calculatons for annutes to short formulas nstead of strngs of values summed together as n secton Annutes-Immedate An mmedate annuty s an annuty that makes payments at the end of specfed ntervals. The payments are always the same amount, the tme ntervals are always the same length, and the nterest rate s constant. Score! Assumng an end-of-nterval payment amount 1, an effectve nterest rate per perod, and n ntervals the present value of the annuty-mmedate s as follows. P V = (1 + ) 1 + (1 + ) (1 + ) n (26) Recall ths very mportant equaton for the sum of the terms of a geometrc sequence. Sum = frst term next after last term 1 rato (27) From equaton (26), we can see that the frst term s (1 + ) 1, the next term after the last s (1+) (n+1), and the rato s (1+) 1. We let the present value be represented by the symbol a n pronounced a angle n. 8

9 1 (1 + ) n P V = a n = = 1 vn (28) The future value, s n, s angle n, can be determned usng ether the method we used n (24) or the method used n (25). As a remnder the present value, a n, s the value one full nterval before the frst payment. The future value s the value the nstant after the n th payment. F V = s n = (a n )(1 + ) n = (1 + )n 1 Another useful relatonshp exsts between a n and s n. (29) 1 a n = 1 s n + (30) We have been assumng that the level payment s of amount 1. If t s some other amount, say P (remember that the payment amount must be constant), then the present value s smply P (a n ) and the future value s P (s n ) 2.2 Annutes-Due Ths s exactly the same dea as an mmedate annuty, except nstead of the payments beng made at the end of each nterval they re made at the begnnng of each nterval. We wrte the present value as (ä n ) and say a double dot angle n. Notce that the present value s the value of the cash flows the nstant before the frst payment. ä n = (1 + )(a n ) = 1 vn (31) d It s worth takng a few mnutes to make sure you understand why t s true. Remember that the payments of a n are farther away so ther present value must be lower. The future value formulas are analogous. F V = s n = (1 + )(s n ) = (1 + )n 1 (32) d There are a number of relatonshps between present and future values and between annutes due and mmedate. In realty they re all knd of slly. But n terms of learnng t s good to thnk through them and n terms of passng exam FM t s good to know them as they can really speed up a soluton. a n + 1 = ä n+1 (33) s n + 1 = s n+1 (34) 1 ä n = 1 s n + d (35) (a n )(1 + ) n (1 + ) = s n (36) 9

10 s n (1 + ) n (1 + ) 1 = a n (37) As before, for payment amounts other than 1, multply the annuty symbol by the amount of the payment. 2.3 Annutes wth Arthmetc Progresson The actuaral exam wll requre that you be able to fnd the present value of some specal non-level-payment annutes. Annutes whose payments are geometrcally ncreasng can be dealt wth usng equaton (27). There also exst annutes whose payments ncrease by some fxed amount each nterval. Consder an annuty that pays P at the end of the frst perod, P + Q at the end of the second perod, and P + (n 1)Q and the end of the n th perod. Then the present value of the ncreasng annuty at tme 0 can be represented as follows. (I P,Q a) n = P a n + Q (a n n(1 + ) n ) (38) Ths equaton makes a lot of sense and you should derve t yourself. Ths wll help you understand what all the parts mean whch wll n turn help you adapt the equaton to many stuatons. And usng the same logc as before: (I P,Q s) n = (I P,Q a) n (1 + ) n (39) (I P,Q ä) n = (I P,Q a) n (1 + ) (40) (I P,Q s) n = (I P,Q a) n (1 + ) n (1 + ) (41) For completeness I ll nclude the rest of ths secton, but I really urge you to understand what s gong on. If you can t derve the followng equatons t doesn t mean you haven t memorzed enough to be ready for the test, t means you don t understand enough to be ready for the test. (I 1,1 a) n = (Ia) n = (1 + )(a n) n(1 + ) n (42) In the event that P = n and Q = 1 we have what s called a decreasng annuty. 2.4 Perpetutes (Da) n = n a n (43) (Ds) n = (Da) n (1 + ) n (44) A perpetuty s exactly what t sounds lke - an annuty that goes on perpetually. It should be clear rght away that a perpetuty can t have a future value snce we ve been defnng the future value as the value of the annuty after the last payment, whch n ths case doesn t exst. To calculate the present value of the perpetuty, a, wrte out (26) for ths stream of cash flows and then realze that for (27) the next term after the last must be (1 + ) ( +1) = 0. 10

11 a = 1 ä = a + 1 = 1 + = 1 d (45) (46) (I P,Q a) = P + Q 2 (47) Remember that n all three of these cases annuty mmedate, annuty due, and perpetuty s the nterest rate per perod. So f you re gven (4) make sure to convert to = (4) 4 and to use the number of years tmes 4 as the number of payments. 2.5 The Werd Annuty Almost all of the annutes and perpetutes that the actuaral exam wll throw at you can be dealt wth usng a tmelne, the formulas from the prevous fve sectons, and a lttle common sense. However, t s worth your tme to memorze the formula for the werd annuty. It pays an amount 1/m at the end of each m th of the frst year, amount 2/m at the end of each m th of the second year, up to amount n/m at the end of each m th of the n th year. The symbol for ths knd of annuty s (Ia) (m) n. (Ia) (m) n 2.6 Contnuously Payng Annutes = än n(1 + ) n (m) (48) The dea of these s that nstead of gettng pad at the end of every year, or every month, the annutant gets pad at the end of every nstant. The present value of ths contnuously payng annuty s symbolzed by ā n. You can derve the followng formula by ether takng the lmt of equaton (48) as m goes to nfnty or ntegratng over the approprate tme span. ā n = n 0 v t dt = 1 (1 + ) n δ = 1 e nδ δ (49) The general formula for a contnuously payng annuty s really all you need to memorze. P V = n 0 f(t)v t dt (50) Where f(t) s the rate of payment. Very often t s 1 per year n whch case the formula for the present value s what we already saw n equaton (49). Other tmes, as n an ncreasng contnuously payng annuty that pays an amount t at tme t, the present value s P V = n 0 tvt dt. And by now you should know how 11

12 to move a lump sum from the present to the future, smply multply by (1 +) n. The perpetuty (n ) formulas pop rght out of equatons (49) and (50). ā = 1 δ (51) (Īā) = 1 δ 2 (52) where f(t) = 1 for (51) and f(t) = t for (52). 3 Loans Patence! 12

13 References [1] Beckley, Jeffrey A. Math/Stat 373 Class Notes [2] Cherry, Harold and Rck Gorvett. ASM Study Manual for SOA FM / CAS 2. 11th ed. ASM, [3] Hasset, Matthew J, Ton Coombs Carca and Amy C. Steeby. ACTEX Study Manual SOA Exam FM. Actex Publcatons, [4] McDonald, Robert L. Dervatves Markets. 2nd ed. Pearson Educaton, Inc., [5] Smon, Carl P. and Lawrence Blume. Mathematcs for Economsts. W. W. Norton & Company, Inc., [6] Vaaler, Lesle Jane Federer and James W. Danel. Mathematcal Interest Theory. 2nd ed. Pearson Educaton, Inc.,

Lecture 3: Force of Interest, Real Interest Rate, Annuity

Lecture 3: Force of Interest, Real Interest Rate, Annuity Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and

More information

Lecture 3: Annuity. Study annuities whose payments form a geometric progression or a arithmetic progression.

Lecture 3: Annuity. Study annuities whose payments form a geometric progression or a arithmetic progression. Lecture 3: Annuty Goals: Learn contnuous annuty and perpetuty. Study annutes whose payments form a geometrc progresson or a arthmetc progresson. Dscuss yeld rates. Introduce Amortzaton Suggested Textbook

More information

Time Value of Money. Types of Interest. Compounding and Discounting Single Sums. Page 1. Ch. 6 - The Time Value of Money. The Time Value of Money

Time Value of Money. Types of Interest. Compounding and Discounting Single Sums. Page 1. Ch. 6 - The Time Value of Money. The Time Value of Money Ch. 6 - The Tme Value of Money Tme Value of Money The Interest Rate Smple Interest Compound Interest Amortzng a Loan FIN21- Ahmed Y, Dasht TIME VALUE OF MONEY OR DISCOUNTED CASH FLOW ANALYSIS Very Important

More information

Simple Interest Loans (Section 5.1) :

Simple Interest Loans (Section 5.1) : Chapter 5 Fnance The frst part of ths revew wll explan the dfferent nterest and nvestment equatons you learned n secton 5.1 through 5.4 of your textbook and go through several examples. The second part

More information

FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals

FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals FINANCIAL MATHEMATICS A Practcal Gude for Actuares and other Busness Professonals Second Edton CHRIS RUCKMAN, FSA, MAAA JOE FRANCIS, FSA, MAAA, CFA Study Notes Prepared by Kevn Shand, FSA, FCIA Assstant

More information

Using Series to Analyze Financial Situations: Present Value

Using Series to Analyze Financial Situations: Present Value 2.8 Usng Seres to Analyze Fnancal Stuatons: Present Value In the prevous secton, you learned how to calculate the amount, or future value, of an ordnary smple annuty. The amount s the sum of the accumulated

More information

Section 5.4 Annuities, Present Value, and Amortization

Section 5.4 Annuities, Present Value, and Amortization Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today

More information

Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt.

Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt. Chapter 9 Revew problems 9.1 Interest rate measurement Example 9.1. Fund A accumulates at a smple nterest rate of 10%. Fund B accumulates at a smple dscount rate of 5%. Fnd the pont n tme at whch the forces

More information

1. Math 210 Finite Mathematics

1. Math 210 Finite Mathematics 1. ath 210 Fnte athematcs Chapter 5.2 and 5.3 Annutes ortgages Amortzaton Professor Rchard Blecksmth Dept. of athematcal Scences Northern Illnos Unversty ath 210 Webste: http://math.nu.edu/courses/math210

More information

On some special nonlevel annuities and yield rates for annuities

On some special nonlevel annuities and yield rates for annuities On some specal nonlevel annutes and yeld rates for annutes 1 Annutes wth payments n geometrc progresson 2 Annutes wth payments n Arthmetc Progresson 1 Annutes wth payments n geometrc progresson 2 Annutes

More information

Thursday, December 10, 2009 Noon - 1:50 pm Faraday 143

Thursday, December 10, 2009 Noon - 1:50 pm Faraday 143 1. ath 210 Fnte athematcs Chapter 5.2 and 4.3 Annutes ortgages Amortzaton Professor Rchard Blecksmth Dept. of athematcal Scences Northern Illnos Unversty ath 210 Webste: http://math.nu.edu/courses/math210

More information

8.4. Annuities: Future Value. INVESTIGATE the Math. 504 8.4 Annuities: Future Value

8.4. Annuities: Future Value. INVESTIGATE the Math. 504 8.4 Annuities: Future Value 8. Annutes: Future Value YOU WILL NEED graphng calculator spreadsheet software GOAL Determne the future value of an annuty earnng compound nterest. INVESTIGATE the Math Chrstne decdes to nvest $000 at

More information

10.2 Future Value and Present Value of an Ordinary Simple Annuity

10.2 Future Value and Present Value of an Ordinary Simple Annuity 348 Chapter 10 Annutes 10.2 Future Value and Present Value of an Ordnary Smple Annuty In compound nterest, 'n' s the number of compoundng perods durng the term. In an ordnary smple annuty, payments are

More information

7.5. Present Value of an Annuity. Investigate

7.5. Present Value of an Annuity. Investigate 7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on

More information

Section 5.3 Annuities, Future Value, and Sinking Funds

Section 5.3 Annuities, Future Value, and Sinking Funds Secton 5.3 Annutes, Future Value, and Snkng Funds Ordnary Annutes A sequence of equal payments made at equal perods of tme s called an annuty. The tme between payments s the payment perod, and the tme

More information

A) 3.1 B) 3.3 C) 3.5 D) 3.7 E) 3.9 Solution.

A) 3.1 B) 3.3 C) 3.5 D) 3.7 E) 3.9 Solution. ACTS 408 Instructor: Natala A. Humphreys SOLUTION TO HOMEWOR 4 Secton 7: Annutes whose payments follow a geometrc progresson. Secton 8: Annutes whose payments follow an arthmetc progresson. Problem Suppose

More information

10. (# 45, May 2001). At time t = 0, 1 is deposited into each of Fund X and Fund Y. Fund X accumulates at a force of interest

10. (# 45, May 2001). At time t = 0, 1 is deposited into each of Fund X and Fund Y. Fund X accumulates at a force of interest 1 Exam FM questons 1. (# 12, May 2001). Bruce and Robbe each open up new bank accounts at tme 0. Bruce deposts 100 nto hs bank account, and Robbe deposts 50 nto hs. Each account earns an annual e ectve

More information

Financial Mathemetics

Financial Mathemetics Fnancal Mathemetcs 15 Mathematcs Grade 12 Teacher Gude Fnancal Maths Seres Overvew In ths seres we am to show how Mathematcs can be used to support personal fnancal decsons. In ths seres we jon Tebogo,

More information

In our example i = r/12 =.0825/12 At the end of the first month after your payment is received your amount in the account, the balance, is

In our example i = r/12 =.0825/12 At the end of the first month after your payment is received your amount in the account, the balance, is Payout annutes: Start wth P dollars, e.g., P = 100, 000. Over a 30 year perod you receve equal payments of A dollars at the end of each month. The amount of money left n the account, the balance, earns

More information

0.02t if 0 t 3 δ t = 0.045 if 3 < t

0.02t if 0 t 3 δ t = 0.045 if 3 < t 1 Exam FM questons 1. (# 12, May 2001). Bruce and Robbe each open up new bank accounts at tme 0. Bruce deposts 100 nto hs bank account, and Robbe deposts 50 nto hs. Each account earns an annual effectve

More information

FINANCIAL MATHEMATICS

FINANCIAL MATHEMATICS 3 LESSON FINANCIAL MATHEMATICS Annutes What s an annuty? The term annuty s used n fnancal mathematcs to refer to any termnatng sequence of regular fxed payments over a specfed perod of tme. Loans are usually

More information

An Alternative Way to Measure Private Equity Performance

An Alternative Way to Measure Private Equity Performance An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate

More information

EXAMPLE PROBLEMS SOLVED USING THE SHARP EL-733A CALCULATOR

EXAMPLE PROBLEMS SOLVED USING THE SHARP EL-733A CALCULATOR EXAMPLE PROBLEMS SOLVED USING THE SHARP EL-733A CALCULATOR 8S CHAPTER 8 EXAMPLES EXAMPLE 8.4A THE INVESTMENT NEEDED TO REACH A PARTICULAR FUTURE VALUE What amount must you nvest now at 4% compoune monthly

More information

Time Value of Money Module

Time Value of Money Module Tme Value of Money Module O BJECTIVES After readng ths Module, you wll be able to: Understand smple nterest and compound nterest. 2 Compute and use the future value of a sngle sum. 3 Compute and use the

More information

Finite Math Chapter 10: Study Guide and Solution to Problems

Finite Math Chapter 10: Study Guide and Solution to Problems Fnte Math Chapter 10: Study Gude and Soluton to Problems Basc Formulas and Concepts 10.1 Interest Basc Concepts Interest A fee a bank pays you for money you depost nto a savngs account. Prncpal P The amount

More information

Section 2.2 Future Value of an Annuity

Section 2.2 Future Value of an Annuity Secton 2.2 Future Value of an Annuty Annuty s any sequence of equal perodc payments. Depost s equal payment each nterval There are two basc types of annutes. An annuty due requres that the frst payment

More information

Texas Instruments 30X IIS Calculator

Texas Instruments 30X IIS Calculator Texas Instruments 30X IIS Calculator Keystrokes for the TI-30X IIS are shown for a few topcs n whch keystrokes are unque. Start by readng the Quk Start secton. Then, before begnnng a specfc unt of the

More information

Section 2.3 Present Value of an Annuity; Amortization

Section 2.3 Present Value of an Annuity; Amortization Secton 2.3 Present Value of an Annuty; Amortzaton Prncpal Intal Value PV s the present value or present sum of the payments. PMT s the perodc payments. Gven r = 6% semannually, n order to wthdraw $1,000.00

More information

Mathematics of Finance

Mathematics of Finance 5 Mathematcs of Fnance 5.1 Smple and Compound Interest 5.2 Future Value of an Annuty 5.3 Present Value of an Annuty;Amortzaton Chapter 5 Revew Extended Applcaton:Tme, Money, and Polynomals Buyng a car

More information

Recurrence. 1 Definitions and main statements

Recurrence. 1 Definitions and main statements Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.

More information

A Master Time Value of Money Formula. Floyd Vest

A Master Time Value of Money Formula. Floyd Vest A Master Tme Value of Money Formula Floyd Vest For Fnancal Functons on a calculator or computer, Master Tme Value of Money (TVM) Formulas are usually used for the Compound Interest Formula and for Annutes.

More information

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

More information

Level Annuities with Payments Less Frequent than Each Interest Period

Level Annuities with Payments Less Frequent than Each Interest Period Level Annutes wth Payments Less Frequent than Each Interest Perod 1 Annuty-mmedate 2 Annuty-due Level Annutes wth Payments Less Frequent than Each Interest Perod 1 Annuty-mmedate 2 Annuty-due Symoblc approach

More information

The OC Curve of Attribute Acceptance Plans

The OC Curve of Attribute Acceptance Plans The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4

More information

Mathematics of Finance

Mathematics of Finance Mathematcs of Fnance 5 C H A P T E R CHAPTER OUTLINE 5.1 Smple Interest and Dscount 5.2 Compound Interest 5.3 Annutes, Future Value, and Snkng Funds 5.4 Annutes, Present Value, and Amortzaton CASE STUDY

More information

3. Present value of Annuity Problems

3. Present value of Annuity Problems Mathematcs of Fnance The formulae 1. A = P(1 +.n) smple nterest 2. A = P(1 + ) n compound nterest formula 3. A = P(1-.n) deprecaton straght lne 4. A = P(1 ) n compound decrease dmshng balance 5. P = -

More information

Mathematics of Finance

Mathematics of Finance CHAPTER 5 Mathematcs of Fnance 5.1 Smple and Compound Interest 5.2 Future Value of an Annuty 5.3 Present Value of an Annuty; Amortzaton Revew Exercses Extended Applcaton: Tme, Money, and Polynomals Buyng

More information

BERNSTEIN POLYNOMIALS

BERNSTEIN POLYNOMIALS On-Lne Geometrc Modelng Notes BERNSTEIN POLYNOMIALS Kenneth I. Joy Vsualzaton and Graphcs Research Group Department of Computer Scence Unversty of Calforna, Davs Overvew Polynomals are ncredbly useful

More information

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy 4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.

More information

Intra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error

Intra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error Intra-year Cash Flow Patterns: A Smple Soluton for an Unnecessary Apprasal Error By C. Donald Wggns (Professor of Accountng and Fnance, the Unversty of North Florda), B. Perry Woodsde (Assocate Professor

More information

Joe Pimbley, unpublished, 2005. Yield Curve Calculations

Joe Pimbley, unpublished, 2005. Yield Curve Calculations Joe Pmbley, unpublshed, 005. Yeld Curve Calculatons Background: Everythng s dscount factors Yeld curve calculatons nclude valuaton of forward rate agreements (FRAs), swaps, nterest rate optons, and forward

More information

Interest Rate Fundamentals

Interest Rate Fundamentals Lecture Part II Interest Rate Fundamentals Topcs n Quanttatve Fnance: Inflaton Dervatves Instructor: Iraj Kan Fundamentals of Interest Rates In part II of ths lecture we wll consder fundamental concepts

More information

ADVA FINAN QUAN ADVANCED FINANCE AND QUANTITATIVE INTERVIEWS VAULT GUIDE TO. Customized for: Jason (jason.barquero@cgu.edu) 2002 Vault Inc.

ADVA FINAN QUAN ADVANCED FINANCE AND QUANTITATIVE INTERVIEWS VAULT GUIDE TO. Customized for: Jason (jason.barquero@cgu.edu) 2002 Vault Inc. ADVA FINAN QUAN 00 Vault Inc. VAULT GUIDE TO ADVANCED FINANCE AND QUANTITATIVE INTERVIEWS Copyrght 00 by Vault Inc. All rghts reserved. All nformaton n ths book s subject to change wthout notce. Vault

More information

Chapter 15: Debt and Taxes

Chapter 15: Debt and Taxes Chapter 15: Debt and Taxes-1 Chapter 15: Debt and Taxes I. Basc Ideas 1. Corporate Taxes => nterest expense s tax deductble => as debt ncreases, corporate taxes fall => ncentve to fund the frm wth debt

More information

Small pots lump sum payment instruction

Small pots lump sum payment instruction For customers Small pots lump sum payment nstructon Please read these notes before completng ths nstructon About ths nstructon Use ths nstructon f you re an ndvdual wth Aegon Retrement Choces Self Invested

More information

= i δ δ s n and PV = a n = 1 v n = 1 e nδ

= i δ δ s n and PV = a n = 1 v n = 1 e nδ Exam 2 s Th March 19 You are allowe 7 sheets of notes an a calculator 41) An mportant fact about smple nterest s that for smple nterest A(t) = K[1+t], the amount of nterest earne each year s constant =

More information

IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS

IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS Chrs Deeley* Last revsed: September 22, 200 * Chrs Deeley s a Senor Lecturer n the School of Accountng, Charles Sturt Unversty,

More information

ANALYSIS OF FINANCIAL FLOWS

ANALYSIS OF FINANCIAL FLOWS ANALYSIS OF FINANCIAL FLOWS AND INVESTMENTS II 4 Annutes Only rarely wll one encounter an nvestment or loan where the underlyng fnancal arrangement s as smple as the lump sum, sngle cash flow problems

More information

1 Example 1: Axis-aligned rectangles

1 Example 1: Axis-aligned rectangles COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture # 6 Scrbe: Aaron Schld February 21, 2013 Last class, we dscussed an analogue for Occam s Razor for nfnte hypothess spaces that, n conjuncton

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

Extending Probabilistic Dynamic Epistemic Logic

Extending Probabilistic Dynamic Epistemic Logic Extendng Probablstc Dynamc Epstemc Logc Joshua Sack May 29, 2008 Probablty Space Defnton A probablty space s a tuple (S, A, µ), where 1 S s a set called the sample space. 2 A P(S) s a σ-algebra: a set

More information

Interest Rate Forwards and Swaps

Interest Rate Forwards and Swaps Interest Rate Forwards and Swaps Forward rate agreement (FRA) mxn FRA = agreement that fxes desgnated nterest rate coverng a perod of (n-m) months, startng n m months: Example: Depostor wants to fx rate

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

More information

Activity Scheduling for Cost-Time Investment Optimization in Project Management

Activity Scheduling for Cost-Time Investment Optimization in Project Management PROJECT MANAGEMENT 4 th Internatonal Conference on Industral Engneerng and Industral Management XIV Congreso de Ingenería de Organzacón Donosta- San Sebastán, September 8 th -10 th 010 Actvty Schedulng

More information

Implied (risk neutral) probabilities, betting odds and prediction markets

Implied (risk neutral) probabilities, betting odds and prediction markets Impled (rsk neutral) probabltes, bettng odds and predcton markets Fabrzo Caccafesta (Unversty of Rome "Tor Vergata") ABSTRACT - We show that the well known euvalence between the "fundamental theorem of

More information

1. Measuring association using correlation and regression

1. Measuring association using correlation and regression How to measure assocaton I: Correlaton. 1. Measurng assocaton usng correlaton and regresson We often would lke to know how one varable, such as a mother's weght, s related to another varable, such as a

More information

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background: SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and

More information

Chapter 15 Debt and Taxes

Chapter 15 Debt and Taxes hapter 15 Debt and Taxes 15-1. Pelamed Pharmaceutcals has EBIT of $325 mllon n 2006. In addton, Pelamed has nterest expenses of $125 mllon and a corporate tax rate of 40%. a. What s Pelamed s 2006 net

More information

Underwriting Risk. Glenn Meyers. Insurance Services Office, Inc.

Underwriting Risk. Glenn Meyers. Insurance Services Office, Inc. Underwrtng Rsk By Glenn Meyers Insurance Servces Offce, Inc. Abstract In a compettve nsurance market, nsurers have lmted nfluence on the premum charged for an nsurance contract. hey must decde whether

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.

More information

On the Optimal Control of a Cascade of Hydro-Electric Power Stations

On the Optimal Control of a Cascade of Hydro-Electric Power Stations On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;

More information

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by 6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng

More information

The Application of Fractional Brownian Motion in Option Pricing

The Application of Fractional Brownian Motion in Option Pricing Vol. 0, No. (05), pp. 73-8 http://dx.do.org/0.457/jmue.05.0..6 The Applcaton of Fractonal Brownan Moton n Opton Prcng Qng-xn Zhou School of Basc Scence,arbn Unversty of Commerce,arbn zhouqngxn98@6.com

More information

IS-LM Model 1 C' dy = di

IS-LM Model 1 C' dy = di - odel Solow Assumptons - demand rrelevant n long run; assumes economy s operatng at potental GDP; concerned wth growth - Assumptons - supply s rrelevant n short run; assumes economy s operatng below potental

More information

Lecture 2: Single Layer Perceptrons Kevin Swingler

Lecture 2: Single Layer Perceptrons Kevin Swingler Lecture 2: Sngle Layer Perceptrons Kevn Sngler kms@cs.str.ac.uk Recap: McCulloch-Ptts Neuron Ths vastly smplfed model of real neurons s also knon as a Threshold Logc Unt: W 2 A Y 3 n W n. A set of synapses

More information

AS 2553a Mathematics of finance

AS 2553a Mathematics of finance AS 2553a Mathematcs of fnance Formula sheet November 29, 2010 Ths ocument contans some of the most frequently use formulae that are scusse n the course As a general rule, stuents are responsble for all

More information

The Short-term and Long-term Market

The Short-term and Long-term Market A Presentaton on Market Effcences to Northfeld Informaton Servces Annual Conference he Short-term and Long-term Market Effcences en Post Offce Square Boston, MA 0209 www.acadan-asset.com Charles H. Wang,

More information

Chapter 11 Practice Problems Answers

Chapter 11 Practice Problems Answers Chapter 11 Practce Problems Answers 1. Would you be more wllng to lend to a frend f she put all of her lfe savngs nto her busness than you would f she had not done so? Why? Ths problem s ntended to make

More information

YIELD CURVE FITTING 2.0 Constructing Bond and Money Market Yield Curves using Cubic B-Spline and Natural Cubic Spline Methodology.

YIELD CURVE FITTING 2.0 Constructing Bond and Money Market Yield Curves using Cubic B-Spline and Natural Cubic Spline Methodology. YIELD CURVE FITTING 2.0 Constructng Bond and Money Market Yeld Curves usng Cubc B-Splne and Natural Cubc Splne Methodology Users Manual YIELD CURVE FITTING 2.0 Users Manual Authors: Zhuosh Lu, Moorad Choudhry

More information

+ + + - - This circuit than can be reduced to a planar circuit

+ + + - - This circuit than can be reduced to a planar circuit MeshCurrent Method The meshcurrent s analog of the nodeoltage method. We sole for a new set of arables, mesh currents, that automatcally satsfy KCLs. As such, meshcurrent method reduces crcut soluton to

More information

What is Candidate Sampling

What is Candidate Sampling What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble

More information

We assume your students are learning about self-regulation (how to change how alert they feel) through the Alert Program with its three stages:

We assume your students are learning about self-regulation (how to change how alert they feel) through the Alert Program with its three stages: Welcome to ALERT BINGO, a fun-flled and educatonal way to learn the fve ways to change engnes levels (Put somethng n your Mouth, Move, Touch, Look, and Lsten) as descrbed n the How Does Your Engne Run?

More information

Hedging Interest-Rate Risk with Duration

Hedging Interest-Rate Risk with Duration FIXED-INCOME SECURITIES Chapter 5 Hedgng Interest-Rate Rsk wth Duraton Outlne Prcng and Hedgng Prcng certan cash-flows Interest rate rsk Hedgng prncples Duraton-Based Hedgng Technques Defnton of duraton

More information

Staff Paper. Farm Savings Accounts: Examining Income Variability, Eligibility, and Benefits. Brent Gloy, Eddy LaDue, and Charles Cuykendall

Staff Paper. Farm Savings Accounts: Examining Income Variability, Eligibility, and Benefits. Brent Gloy, Eddy LaDue, and Charles Cuykendall SP 2005-02 August 2005 Staff Paper Department of Appled Economcs and Management Cornell Unversty, Ithaca, New York 14853-7801 USA Farm Savngs Accounts: Examnng Income Varablty, Elgblty, and Benefts Brent

More information

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo

More information

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12 14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed

More information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

Uncrystallised funds pension lump sum payment instruction

Uncrystallised funds pension lump sum payment instruction For customers Uncrystallsed funds penson lump sum payment nstructon Don t complete ths form f your wrapper s derved from a penson credt receved followng a dvorce where your ex spouse or cvl partner had

More information

THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES

THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES The goal: to measure (determne) an unknown quantty x (the value of a RV X) Realsaton: n results: y 1, y 2,..., y j,..., y n, (the measured values of Y 1, Y 2,..., Y j,..., Y n ) every result s encumbered

More information

Abstract # 015-0399 Working Capital Exposure: A Methodology to Control Economic Performance in Production Environment Projects

Abstract # 015-0399 Working Capital Exposure: A Methodology to Control Economic Performance in Production Environment Projects Abstract # 015-0399 Workng Captal Exposure: A Methodology to Control Economc Performance n Producton Envronment Projects Dego F. Manotas. School of Industral Engneerng and Statstcs, Unversdad del Valle.

More information

The Mathematical Derivation of Least Squares

The Mathematical Derivation of Least Squares Pscholog 885 Prof. Federco The Mathematcal Dervaton of Least Squares Back when the powers that e forced ou to learn matr algera and calculus, I et ou all asked ourself the age-old queston: When the hell

More information

Problem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative.

Problem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative. Queston roblem Set 3 a) We are asked how people wll react, f the nterest rate on bonds s negatve. When

More information

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL

More information

n + d + q = 24 and.05n +.1d +.25q = 2 { n + d + q = 24 (3) n + 2d + 5q = 40 (2)

n + d + q = 24 and.05n +.1d +.25q = 2 { n + d + q = 24 (3) n + 2d + 5q = 40 (2) MATH 16T Exam 1 : Part I (In-Class) Solutons 1. (0 pts) A pggy bank contans 4 cons, all of whch are nckels (5 ), dmes (10 ) or quarters (5 ). The pggy bank also contans a con of each denomnaton. The total

More information

Little s Law & Bottleneck Law

Little s Law & Bottleneck Law Lttle s Law & Bottleneck Law Dec 20 I professonals have shunned performance modellng consderng t to be too complex and napplcable to real lfe. A lot has to do wth fear of mathematcs as well. hs tutoral

More information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.

More information

Hollinger Canadian Publishing Holdings Co. ( HCPH ) proceeding under the Companies Creditors Arrangement Act ( CCAA )

Hollinger Canadian Publishing Holdings Co. ( HCPH ) proceeding under the Companies Creditors Arrangement Act ( CCAA ) February 17, 2011 Andrew J. Hatnay ahatnay@kmlaw.ca Dear Sr/Madam: Re: Re: Hollnger Canadan Publshng Holdngs Co. ( HCPH ) proceedng under the Companes Credtors Arrangement Act ( CCAA ) Update on CCAA Proceedngs

More information

A Model of Private Equity Fund Compensation

A Model of Private Equity Fund Compensation A Model of Prvate Equty Fund Compensaton Wonho Wlson Cho Andrew Metrck Ayako Yasuda KAIST Yale School of Management Unversty of Calforna at Davs June 26, 2011 Abstract: Ths paper analyzes the economcs

More information

Cautiousness and Measuring An Investor s Tendency to Buy Options

Cautiousness and Measuring An Investor s Tendency to Buy Options Cautousness and Measurng An Investor s Tendency to Buy Optons James Huang October 18, 2005 Abstract As s well known, Arrow-Pratt measure of rsk averson explans a ratonal nvestor s behavor n stock markets

More information

Calculation of Sampling Weights

Calculation of Sampling Weights Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample

More information

ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING

ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING Matthew J. Lberatore, Department of Management and Operatons, Vllanova Unversty, Vllanova, PA 19085, 610-519-4390,

More information

Construction Rules for Morningstar Canada Target Dividend Index SM

Construction Rules for Morningstar Canada Target Dividend Index SM Constructon Rules for Mornngstar Canada Target Dvdend Index SM Mornngstar Methodology Paper October 2014 Verson 1.2 2014 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property

More information

Stock Profit Patterns

Stock Profit Patterns Stock Proft Patterns Suppose a share of Farsta Shppng stock n January 004 s prce n the market to 56. Assume that a September call opton at exercse prce 50 costs 8. A September put opton at exercse prce

More information

Loss analysis of a life insurance company applying discrete-time risk-minimizing hedging strategies

Loss analysis of a life insurance company applying discrete-time risk-minimizing hedging strategies Insurance: Mathematcs and Economcs 42 2008 1035 1049 www.elsever.com/locate/me Loss analyss of a lfe nsurance company applyng dscrete-tme rsk-mnmzng hedgng strateges An Chen Netspar, he Netherlands Department

More information

To manage leave, meeting institutional requirements and treating individual staff members fairly and consistently.

To manage leave, meeting institutional requirements and treating individual staff members fairly and consistently. Corporate Polces & Procedures Human Resources - Document CPP216 Leave Management Frst Produced: Current Verson: Past Revsons: Revew Cycle: Apples From: 09/09/09 26/10/12 09/09/09 3 years Immedately Authorsaton:

More information

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW.

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. Lucía Isabel García Cebrán Departamento de Economía y Dreccón de Empresas Unversdad de Zaragoza Gran Vía, 2 50.005 Zaragoza (Span) Phone: 976-76-10-00

More information

8 Algorithm for Binary Searching in Trees

8 Algorithm for Binary Searching in Trees 8 Algorthm for Bnary Searchng n Trees In ths secton we present our algorthm for bnary searchng n trees. A crucal observaton employed by the algorthm s that ths problem can be effcently solved when the

More information

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000 Problem Set 5 Solutons 1 MIT s consderng buldng a new car park near Kendall Square. o unversty funds are avalable (overhead rates are under pressure and the new faclty would have to pay for tself from

More information

Trivial lump sum R5.0

Trivial lump sum R5.0 Optons form Once you have flled n ths form, please return t wth your orgnal brth certfcate to: Premer PO Box 2067 Croydon CR90 9ND. Fll n ths form usng BLOCK CAPITALS and black nk. Mark all answers wth

More information

CHAPTER 14 MORE ABOUT REGRESSION

CHAPTER 14 MORE ABOUT REGRESSION CHAPTER 14 MORE ABOUT REGRESSION We learned n Chapter 5 that often a straght lne descrbes the pattern of a relatonshp between two quanttatve varables. For nstance, n Example 5.1 we explored the relatonshp

More information