Comparative Analysis of the Traditional Models for Capital Budgeting

Size: px
Start display at page:

Download "Comparative Analysis of the Traditional Models for Capital Budgeting"

Transcription

1 Internatonal Journal of Marketng Studes; Vol. 8, No. 6; 26 ISSN 98-79X E-ISSN Publshed by Canadan Center of Scence and Educaton Comparatve Analyss of the Tradtonal Models for Captal Budgetng Unversty of Massachusetts Amherst, USA M. J. Alhabeeb Correspondence: M. J. Alhabeeb, Unversty of Massachusetts Amherst, USA. E-mal: Receved: October 2, 26 Accepted: October 24, 26 Onlne Publshed: November, 26 do:.39/jms.v8n6p6 URL: Abstract Fnancal decson makng for nvestng frms requres metrc tools for comparson and analyss. The manageral choce among many nvestment alternatves wth complex possbltes has made t easer to rely on the now more advanced computer programs of smulaton that consders the uncertanty and stochastc changes n the cash flow and rsk levels. The major drawback here, especally n the academc world, s the ncreasng dependency on software and departng from the underlyng mathematcal reasonng that s most practcally fathomed by the manual problem solvng. Ths paper goes back to the tradton on analyzng and comparng the major models of captal budgetng. Keywords: captal budgetng, project evaluaton, net present value, nternal rate of return, proftablty ndex, payback method, crossover rate, rankng reversal. Introducton Captal budgetng focuses on long-term and strategc plans to sustan a stable and more productve future for the frm. In the core of ths long-term thnkng s the ablty and capacty to make decsons to replace, mprove, and expand the frm s major exstng resource base, as compared to only seekng the effcency of the use of that resource base. The emphass would prmarly be placed on assessng the frm s nvestment opportuntes n order to choose the most vable alternatve among them. Gven that alternatve nvestment opportuntes dffer n many aspects such as the level of rsk assocated wth each one and ther capactes to yeld future returns, the crtera for choce would be for the upper management to employ objectve, quanttatve, and credble methods to evaluate the proposed alternatves and select the best, especally n terms of hgher proftablty and less rsk. Over the years, many methods and technques have been developed, tested, and modfed for the best ways to evaluate the worth of nvestment projects. Most of the lterature today, especally n the academc journals, seems to skp over the foundaton of these methods and go drectly to the computerzed applcatons of them. It s analogous to usng the fnancal calculators before knowng the mathematcal reasonng of the operatons performed by the embedded software. It s essental to connect between the theory and applcatons, not only to make practcal sense of the theoretcal deas by renderng them useful n real lfe, but also to explore the ways to modfy, adjust, and adapt the theory to dfferent applcatons and a dversty of condtons and crcumstances. The major objectve of ths paper s to dscuss the approach and techncalty of the decson-makng process n evaluatng nvestment projects. The method would be to dfferentate among the actual and most tradtonal ways of captal budgetng followed n the busness world by exposng ther mathematcal analyses as they are ted to real lfe scenaros. 2. Dscusson 2. The Fundamental Vew to Captal Budgetng Captal expendtures s an outlay of funds whch the frm would rely on to generate a stream of returns enough to cover and exceed the ntal nvestment spendng. Captal budgetng, therefore, would be the process to revew, assess, and select the busness projects that promse to be the most rewardng n the medum and long runs. In other words, t s a long-term plannng and evaluatng captal allocatons whch are expected to generate cash nflows over a future perod of tme. Fgure llustrates the major elements of the process of captal budgetng on a tmelne. It shows 6

2 the typcal dual cash flow scenaro, where the frst of these flows s the cash outflow, whch conssts manly of the ntal captal fund allocated for an nvestment project n the current tme, as well as the captal expendtures made throughout the lfe of assets n ther productve lfe. The second flow s the cash nflow whch ncludes the future annual returns of the project durng ts fve years. Whle the cash outflow s normally measured n ts current value, the cash nflows have to be brought from ther maturty tme back to the current tme. They are dscounted at the frm s cost of captal rate and added up to form the present value of all returns whch has to be ether equal or larger than the cash outflow. Fgure. Tmelne of the cash flow for captal budgetng Typcal examples of captal outlay for the frm s nvestment projects are funds to fnance the purchase of land, buldngs, equpment and busness expanson wth what s requred to enhance the workng captal such as nventores and accounts recevable as well as funds to fnance research and development and pay for promoton and advertsement. Generally, captal budgetng s often assocated wth the followng most common nvestment projects: - Expanson: Includes nvestment projects to move nto the phase of developng and producng ether a new product or addng a new lne of product, or venturng nto a new market. It also ncludes the extenson of servce outlets and the dstrbuton and storage facltes. - Replacement: Includes projects to replace worn-out and damaged machnes and equpment as well as renewng structures and technology for more effcent producton and servces. - Cost Reducton: Includes all the projects amng at reducng the cost of producton through lower labor cost, raw materal, energy, as well as employng hgher technology that ncreases producton and ultmately lowers costs. Also, movng producton to less expensve locatons and spendng on tranng programs could be done to eventually lower the total cost of producton. - Conformng: Includes projects whch comply wth federal or state regulatons and standards on ssues such as health, safety, polluton, reservaton, and alke. 2.2 The Basc Model of Captal Budgetng The underlyng theoretcal framework for captal budgetng s based on the economc equ-margnal prncple. It states that a frm would pursue and contnue to engage n an actvty untl the margnal cost equals ts margnal beneft. As for the frm s decson on nvestment projects, ths prncple s appled n a way that captal would contnue to be allocated for nvestment projects to the pont where the margnal return on nvestment, as represented by the ncremental cash flows, would equal the margnal cost, as represented by the added expendtures of new nvestment captal. Applyng ths prncple would assure the frm s maxmum value. Fgure 2 shows an example of Frm X that s decdng on the worthness of eght proposed nvestment projects, I through VIII, whch are requrng a total of $2 mllon, whch s dstrbuted among dfferent captal funds yeldng dfferent rates of returns: 7

3 Project I: Project II: Project III: Project IV: Project V: Project VI: Project VII: Project VIII: 3 mllon dollars, wth % return. 2 mllon dollars, wth 3% return. 3 mllon dollars, wth % return. 4 mllon dollars, wth 9% return. 2 mllon dollars, wth 8% return. mllon dollars, wth 6% return. 3 mllon dollars, wth % return. 3 mllon dollars, wth 4% return. Total Captal Demanded: 2 mllon dollars. Fgure 2. Competton of several nvestment alternatves by ther rates of return Curve DC s the frm s demand for captal, and curve MCC s the frm s margnal cost of captal. The ntersecton between the two curves at pont A would determne that at maxmum, the frm can only allocate captals for the frst fve projects, I through V, at a total of 4 mllon dollars. The frm s ntal cost of captal rate s 6% whch would contnue to rse after allocatng the frst 3 mllon. So, the frst project yelds a rate of % but t costs 6%; the second project yelds 3% and t costs about 6¼%; the thrd project costs 6½% but t returns %; the fourth project costs 7/3 % and t returns 9%; and the ffth costs 8% and barely returns the same rate back. All the remanng Projects, VI, VII, and VIII, would be rejected snce they cost more than the frm s cost of captal and all of ther returns are below MCC. Project VI returns 6% but t costs ½%, Project VII returns % but t costs 2½%; and Project VIII returns 4% but t costs %. The optmal captal allocaton for the frm s 4 mllon. 2.3 Selecton Process and Project Evaluaton Captal budgetng nvolves a standard, logcal and consstent decson-makng process that may consst of several steps:. Explorng a pool of proposed nvestment projects and generatng a lst of most qualfed proposals to form the alternatve projects under consderaton. By focusng on the ntally strong and promsng projects, ths step would also be a screenng procedure to keep all of the clearly unfeasble or unworthy proposals out so that they won t go further n the process. 2. Estmatng the project cash flow whch s a stream of returns that would occur n a future tme. Ths estmaton should, therefore, be consdered wth the approprate level of uncertanty, rsk, and basedness. A major basedness s the natural subjectve tendency to be over-optmstc whch may end up underestmatng the costs and overestmatng the benefts, especally f there s a certan desre to adopt a specfc project. It s essental to rely on unbased professonals who use objectve measures to mnmze any over or under estmaton. Ths step usually emphaszes three mportant crtera: 8

4 a. Cash flow measurement should be done on an ncremental bass. Ths s to say that a project cash flow s takng a margnal sense as the dfference between the frm s cash flow before and after the constructon of that project. b. Cash flow estmaton should be consdered on after-tax bass usng the frm s margnal tax rate and ncludng the effect of deprecaton and all other non-cash expenses whch would be consdered for ncome tax purposes. c. Cash flow estmaton should nclude all of the ndrect effects of the project throughout ts lfetme such as the possble nterference and overlap wth other products, servces, or functons of the frm. 3. Determnng the frm s cost of captal whch would serve as the dscount rate for convertng the value of cash flow from the future to the present tme. It s equvalent to the requred rate of return by the frm s nvestors. 4. Evaluatng the alternatve nvestment projects n order to choose and accept the best alternatve project that would yeld the most value for the frm. The central crteron that has been establshed to determne a measure of desrablty and preference for a specfc alternatve project s the comparson of the present value of the expected cash nflows wth the ntal cash outflow. The project that wns the allocaton of captal has to have the present value of ts expected returns larger than the ntal captal outlay. There are two groups of methods to evaluate the worthness and desrablty of any nvestment project under consderaton. 2.4 Methods of Evaluaton for Proposed Investment Projects As decson-makng tools for the frm s captal budgetng, there are two groups of methods of evaluaton. The frst group, whch s the most common, s called the value-adjusted method for ts utlzaton of the tme value of money n establshng relable crtera of project worthness. Ths group ncludes three models: the net present value (NPV), the nternal rate of return (IRR), and the proftablty ndex (PI). The second group can be called the value-unadjusted methods for not usng any tme value of money adjustment. Ths group s represented by the payback model Net Present Value (NPV) Model The net present value of an nvestment project s the present value of all the future returns or cash nflows mnus the ntal captal nvested n the project. The basc premse s that the stream of future cash nflows must be dscounted back to the current tme usng the frm s cost of captal as the dscount rate. Ths rate s bascally determned by the frm based on ts assessment of the rsk nvolved n each undertaken nvestment project. Hgh rsk projects are assgned hgher dscount rate whle the low rsk projects are assgned low dscount rate. Net present value (NPV) s probably the most common technque used to assess how worthy a project s and whether t would be accepted for fundng or not. If the present value of all future returns (the cash nflows) s larger than the ntal cost of the project (the cash outflows), the net present value would be postve and the project would be deemed acceptable. Otherwse, f the present value of the cash nflows s smaller than the ntal captal outlay or the cash outflows, the net present value would be negatve and the project cannot be accepted. Let s recall that the current or dscounted value (CV) of any future return (FV) can be obtaned by: CV FV = ( r) n + where r s the nterest rate used for dscountng or brngng the value of return from future back to the present and n s the number of terms such as years. If we refer to an annual return or cash nflow of a project by CF, and to the project cash outflow by I, then the net present value (NPV) would be the dfference between the dscounted stream of both flows throughout the lfe of the project (t): t t CF I n n ( r) + (+ r) NPV = If the project takes only the ntal captal outlay or the startng nvestment fund only, then that ntal amount would be n ts current value already (I ), and does not need to be dscounted. t CF NPV = I n (+ r) 9

5 The crtera for project acceptablty s for the net present value to be non-negatve: NPV Let s suppose that a proposal to expand a fast food restaurant calls for the nvestment of an ntal captal of $42, and promses to delver a return of at least $4, per year durng the next fve years. Would the franchse company approve such an expanson project, gven that ts cost of captal s ½%? t CF NPV = I n (+ r) CF CF CF CF I (+ r) (+ r) (+ r) (+ r) = = 4, 4, 4, 4, 4, , ( +.) ( +.) ( +.) ( +.) ( +.) = 2,6. +,26.3 +, , , , =, , = 9,98.27 Ths expanson project would be accepted snce the net present value turned out to be postve. Fgure 3. Fve-year-return nvestment proposal for fast food franchse Let s consder another example where the development commttee n a constructon company s studyng two nvestment proposals whose cash nflows for the next four years are projected n the table below. Both projects requre a captal allocaton of $2, gven that the cost of captal for the frst project s 8% and for the second s 7½%. Whch of the two proposals would get an approval? Year Cash Inflows r = 8% 3, 4,, 2, Project I Cash Outflows Cash Inflows r = 7.% 2, 4, 4, 9,, Project II Cash Outflow 2, 2

6 Project I: Project II: 4 CF NPV = I n (+ r) = 3, 4,, 2, , ( +.8) ( +.8) ( +.8) ( +.8) = 32, , , ,23.8-2, = 94,96-2, = -,44.26 NPV = 4, 4, 9,, , ( +.7) ( +.7) ( +.7) ( +.7) = 37, , , , , = 223,73.9-2, = 23,73.9 Project I has a negatve NPV and Project II has a postve NPV. The commttee would accept the second and reject the frst project. Fgure 4. Two alternatve nvestment for constructon projects The cash nflow n the net present value formula could be replaced by the frm s proft for any perod can be adjusted for deprecaton and taxes: Snce π = TR - TC ( π ), and t [TR TC ]( T) + D NPV = I n (+ r) where TR and TC are the frm s total revenue and total cost for the th perod; T s the frm s margnal tax rate; and D s the frm s captal deprecaton; and I s the ntal nvestment captal allocated for the project. The followng table shows the estmated projectons for the gross proft based on the total cost, total revenue, and deprecaton allowances of a proposed project durng the frst fve years. How would a fundng decson be made on acceptng or rejectng the request for an ntal captal of $6,, gven that the cost of captal s 8¼% and the margnal ncome tax s 32%? 2

7 Year TR TC (-T) = D π (-t)+d π -.32 (4x+6) (3-2) , 66, 62, 62, 668, 46, 47, 42, 4, 48, 4, 8, 2, 22, 2, ,4 3, 33, 34, 3, 24,6 7,3 72,4 83,7 2, NPV = 24, 6 7, 3 72, 4 83, 7 2, ( +.82) ( +.82) ( +.82) ( +.82) ( +.82) =, , , , ,9.9-6, = 66, , = 6, The proposal would be approved for yeldng a non-negatve NPV. Fgure. Estmated projectons for the gross proft wth deprecaton allowances of a proposed project durng the frst fve years Internal Rate of Return (IRR) Model Another method used to determne the acceptablty of a proposed nvestment s desgned to compare the nternal rate of return wth the frm s cost of captal. The central crteron s that n order for the project to be accepted, t must yeld an nternal rate of return at least equal or larger than the frm s cost of captal. IRR r The nternal rate of return s sometmes called the proft rate or the margnal effcency of nvestment. It s defned as the rate that equates between the present value of cash nflows and the cash outflows. In the net present value formula, such a rate that makes the two cash flows equal must make the net present value (NPV) equal to zero. Ths would mean that the project s not capable of delverng an earnng rate hgher than the cost of captal. Usng the net present value (NPV) formula, we can now replace the frm s cost of captal (r) wth the nternal rate of return (IRR) and set the net present value to zero. CF n NPV = I n = (+ IRR) 22

8 To fnd the rght nternal rate of return that makes the net present value to be zero, we have to solve the equaton above for IRR. Snce a mathematcal soluton s not easy, IRR can be found by many ways such as usng the table values, tral and error, nterpolaton, and other ways. Computers and sophstcated busness calculators can fnd IRR easly. However, a prelmnary ballpark estmaton could be made, and an equaton was developed to get at least a startng pont n such an estmaton of the IRR. Once we get that estmate, we can keep teratng back and forth untl we get the exact rate that makes the value of NPV zero. n CF I IRR = CF where CF s cash nflow, and s the number of any year of the perod n: =, 2, 3,, n, and I s the ntal nvestment. Suppose that a frm s studyng an nvestment proposal that s askng for $, as ntal captal. The projectons for cash nflows durng the fve years are shown n the table below: 2 3 Cash Inflows CF CF ( x 2) ,6 4,2, 6,3 7, 27, CF 3,6 8,4 6, 2,2 37, 9,2 CF IRR IRR CF I CF 27,, 9,2 IRR 3.3% But, ths s only a rough estmate. However, we can reach to the exact rate wth some tral and error attempts, guded by the calculatons of the net present value (NPV) untl t reaches zero. That would be when the present value of all cash nflows are exactly equal the ntal nvestment, n ths case $,. The frst step we take here s to calculate the present value of cash nflows at the dscount rate of 3.3% to see how close t would make the present value to the ntal nvestment of $,. PV = 3,6 4,2, 6,3 7, ( +.33) ( +.33) ( +.33) ( +.33) ( +.33) = 3,77 + 3, , , ,7 = 8,7 So, a rate of 3.3 produces a present value of the cash nflows larger than the ntal nvestment of $,. Snce the rate of dscount has a reverse relatonshp wth the present value, we have to ncrease the rate n the next try to reduce the present value hopng to let t reach $,. 23

9 At a rate of 8%, the present value of cash nflows would be: PV = 3,6 4,2, 6,3 7, ( +.8) ( +.8) ( +.8) ( +.8) ( +.8) = 3, + 3,6 + 3, , ,278 =,942 Now, we are gettng much closer to the $,. We need to try to rase the rate a few more tmes to get the present value to go down to exactly $,. Recall that we can also use the PVIF r,n table value (also comes n another notaton: v n ) to ease up the tedous calculatons wth multple tres. Any table book would show the dscount factor of a dollar for many combnatons of r and n. n PVIF = v = n (+ r) To get the dscounted cash nflow n the thrd year above, we can ether dvde the, by (+.8) 3 or get the dscount factor from the table by lookng up across r = 8% and n = 3, and get the value.686 for the dscount factor and multply t by,. PV = FV[PVIF r,n ] =, [PVIF.8,3 ] =, [.686] = 3,347 Other few tres to get the exact rate revealed that: - at 2%, PV =, - and at exactly 2.4%, PV =,, and that s the nternal rate of return (IRR) that brngs about the equalty between the present value of cash nflows and the ntal nvestment and, therefore, makes the net present value equal to zero. 3,6 4,2, 6,3 7, NPV = , ( +.24) ( +.24) ( +.24) ( +.24) ( +.24) NPV = [2,99 + 2, , + 2, ,964] -, NPV =, -, = Fgure 6. A -year-return project wth a $, captal Comparng NPV to IRR for the Mutually Exclusve Projects The crteron for acceptng or rejectng an nvestment project can ether be based on the hghest net present value (NPV) or the hghest nternal rate of return (IRR). It would make no dfference to the frm as whch of these two measures s followed, smply because they reflect each other consstently. Havng a postve value for the net present value means havng an nternal rate of return that exceeds the frm s cost of captal, and havng a 24

10 negatve value of the net present value refers to havng an nternal rate of return lower than the frm s cost of captal: If IRR > MCC NPV > IRR < MCC NPV < Therefore, ether measure would be fne f followed, but that s especally true f the frm s assessng only a sngle ndependent project. But f the frm wants to assess two or more projects whch are mutually exclusve, then the measures of NPV and IRR may not mean the same thng! Mutually exclusve projects are those projects whch compete to earn the only one decson of approval. In other words, the frm can only choose one project among the alternatves. Year Project I 2, -2, 2, 2, 3, Project II 2, 87, 87, 87, 87, 87, Intal Captal Cash Inflows NPV 3,63 8,973 Dscount Rate IRR 2.2% 22.% 9½% Let s calculate both the net present value (NPV) and the nternal rate of return (IRR) for the two projects whose -year cash nflows are shown n the table, gven that both are competng to get the $2, ntal captal that s to be nvested at least at the frm s 9½% cost of captal. n CF NPCV = I n (+ r) 2, 2, 2, 3, NPVI = , ( +.9) ( +.9) ( +.9) ( +.9) ( +.9) NPV I = [-22, , , ,33] - 2, NPVI = 3,63 IRR I = 2.2% (obtaned usng a calculator). 87, 87, 87, 87, 87, NPVII = , ( +.9) ( +.9) ( +.9) ( +.9) ( +.9) NPV II = [79, , ,64 + 6,862 +,82] = -2, NPVII = 8,973 IRR II = 22.% (obtaned usng a calculator). 2

11 Fgure 7. Mutually exclusve nvestment projects The calculaton shows that the net present value and the nternal rate of return are not consstent across the two projects. Whle Project I have a hgher net present value (NPV I = 3,63 compared to NPV II = 8,973), Project II have a hgher nternal rate of return (IRR II compared to IRR I = 2.2). Therefore, the frm has to choose whch measure would be better to follow and whch one to gnore. Theoretcally, t would be better for the frm to decde acceptablty based on the hgher net present value than the hgher nternal rate of return. One of the theoretcal justfcatons for that s the assumpton that the earned cash nflows are to be renvested at the usually reasonable frm s cost of captal rate, and there would be no guarantees on the renvestment of the cash nflows earned by the other project at ts hgher rate of return. However, practcally most fnancal managers n the busness market tend to favor decsons based on the hgher nternal rate of return. One nterpretaton for such a tendency s the common relance on relatve change than on absolute change whch makes rates more preferable than actual dollar amounts as t s n the case of the net present value amount. The relatve measures can stll reman relable for comparson, especally when the frm faces many nvestment proposals whch cannot afford to fund except the most proftable, due to some budgetary constrants. Let s consder a frm recevng sx nvestment project proposals requrng dfferent captals and promsng dfferent net present values as shown n the followng table. Suppose that the frm can only allocate a maxmum of $8, and one of the proposals s askng for an ntal captal of $8, whch s the total nvestng capacty for the frm. The rest of the proposals are askng for dfferent fundng, rangng from $, to $4,. In ths case, t would be clear that t s better not to look at the absolute amounts of the net present value but to fnd the yeld or the net present value per dollar, obtaned by dvdng the net present value by the amount nvested or the ntal captal allocated (NPV/I ). Projects I NPV NPV/I I. 8, 2,6, 3.2% II. 29, 72, 2.% III. 2, 8, 3.4% IV. 3, 77, 2.2% V. 4,,44, 3.6% VI., 6, 4.% Frm s Total Fundng Capacty: $8, 3.62 The frm can nvest n Project I only gvng all t has and gettng $3.2 per dollar nvested, but a combnaton of more than one project, not only reduces the rsk by dversfcaton but also ncreases the return. So the avalable captal of $8, can be shared by Projects III, V, and VI generatng a total of $2,89, of a net present value (8, +,44, + 6,) whch would be translated nto a 3.62% earnng per dollar nvested 26

12 2,89,. It s hgher than the 3.2% from the frst project that requred the entre nvestment budget. Project I 8, would be dsmssed as wll Projects II and IV NPV Profle, Crossover Rate and the Rankng Reversal A net present value profle s the relatonshp between a project s net present value and several alternatve cost of captal rates. It s expressed n a table and graph such as the ones we see below for Projects I and II. The two expressons, table and graph, show how the net present value changes n response to changes n the frm s cost of captal rate. Cost of Net Present Value Captal I II % 2.% 4% 6% 7.% 8% %.% 3% % 2,,972 2,27,27 9,7 8,76,69 2, ,462 2, 2,66,662 2,498,77 8,76 4, ,48-6,887 IRR 3.3%.7% Fgure 8. The crossover pont Lookng at both the table and graph above, we can make the followng observatons: - Snce the relatonshp between the net present value and the cost of captal s negatve, both curves, NPV I and NPV II are slopng downwards: startng from ther ntal values of $2, and $2, at zero rate, and endng at negatve values at the hghest rate, above.7%. That s to confrm that as the frm s cost of captal ncreases, ts net present value decreases. - The curve for Project II s steeper than the curve for Project I. Ths reflects that Project II s more senstve to the change n cost of captal rate than Project I. NPVII NPVI > r r 27

13 We can observe, for example, that as cost of captal rate goes up by 92% (from 6% to.%), the net present value for Project II goes down by 98%, whle the net present value for Project I declnes by 74%.. 6 = 92% 6 ;,27 2,772 =, 27 74% ; 2, = 98% 2, 498 The dfference n the project senstvty to changes n the cost of captal s due to the dfferences n the magntude as well as the tmng of the cash nflows. Because the dscountng process s just a reverse of the compoundng process, the present value of cash nflows comng n later years would decrease more than those comng n earler years. Ths s the reason for the curves to ntersect at the crossover pont. - When the two net present values of the two projects equal each other, ther curves ntersect at the crossover pont. The cost of captal rate correspondng to that pont s called the crossover rate, 8% n ths case. So the crossover rate s defned as the rate at whch the net present value of two projects get equal to each other and where ther curves ntersect. - The crossover rate serves as the turnng pont where the reversal of project rankng occurs. At any level of cost of captal below the crossover rate, Project II would be preferred for ts hgher net present value. For any cost of captal level hgher than the crossover rate, Project I would be preferred for havng ts net present value hgher ths tme than the net present value of Project II. - The net present value of both projects would declne to zero when they cross the x-axs at ther frm s nternal rate of return. The graph shows that the nternal rate of return for Project I s 3.3%, and for Project II s.7%, and those where the two curves cross the x-axs respectvely Proftablty Index and Captal Ratonng We hnted earler to the relatve measure of net present value and the net present value per dollar nvested. Another relatve measure can serve as one of the crtera for project acceptablty. It s the measure of Proftablty Index (PI) whch s a rato of the present value of cash nflows and the present value of cash outflows: PI = t t CF n ( r) + I n ( + r) It can also be expressed as a rato between the present value of cash nflows and the ntal nvestment. PV(CF ) PI = PI > I The crteron for project acceptablty s for the proftablty ndex to be equal or larger than snce beng equal to would ndcate the equalty between the cost and beneft. In two of the projects mentoned prevously, the net present value for one was $77,, and the other was $6, but because the nvestment captals requred for both respectvely were $3, and $,, ther values to the frm would dffer dramatcally. Calculatng the proftablty ndex for both would reveal that dfference. But, we need to restore the present value for cash flows by combnng the net present value and the ntal nvestment for both: PV = NPV + I PV = 77, + 3, =,2, PV 2 = 6, +, = 7, PI = PV (CF ) I =,2, 3, =

14 PI 2 = 7,, = Payback Method Among the most common methods to evaluate nvestment projects, especally n the past (n the pre-computer age), was the payback method. It may stll be n use n some busness corners for ts smplcty and straghtforwardness. Payback perod refers to the expected number of operatonal years durng whch the ntal nvestment can be recovered. In ths sense, as a crteron for project selecton, the shorter the payback perod the better. The short recovery tme would be a crude measure of lqudty of the project. It can also be an ndcaton for less potental rsk. The fewer the number of years n whch the ntal captal can be fully recovered, the more the project can cut off the potental rsk that may le ahead. The payback perod (PB) can be obtaned by the followng two technques:. For projects yeldng an equal amount of cash nflow durng the project lfe tme, payback perod s obtaned by dvdng the ntal nvestment or the proposed captal (I) by the annual cash flow (CIF): I PB = CIF 2. For projects yeldng varable cash nflows throughout the years of the project operaton. The payback perod (PB) can be obtaned by: I f CIF t = t= + CIFf PB (f ) where: f: s the year n whch the ntal nvestment can be fully recovered. f-: the year before the year of full recovery of the ntal nvestment. I: s the ntal nvestment or the captal proposed for allocaton. CIF t : the cash nflow durng the perod t up to the year before the year of full recovery. CIF f : the cash nflow n the year of full recovery of the ntal nvestment. Let s calculate the payback perod for the followng two proposed projects: The sunshne company s consderng the followng two projects for captal allocaton. Project X s askng for $64, and Project Y s askng for $68,. Calculate the payback perod for both projects: Year Project X ($64,) Project Y ($68,) Expected Profts Expected Profts (after taxes) Cash Inflows (after taxes) Cash Inflows 9, 6, 2, 4,8,2 6, 9, 2,2,2 6,,, 8, 6, 4,, 7, 6, 4, 8, 9, 6, 8,9 6, 29

15 For Project X: For Project Y: I PB = CIF 64, = 6, = 4 years I f CIF f = t= + CIFf PB (f ) = 68, (4,8 + 2, 2 +,) 3 +, = 3. years f: s the fourth year snce the 68, would be wthn the accumulated cash nflows by the end of the fourth year, that s (4,8 + 2,2 +, +, = 73,). f-: s the thrd year (the year before the fourth). CIF f : s the annual cash nflow ($,) n the fourth year as the year n whch the ntal nvestment would be fully recovered. In addton to the major shortcomng of the payback method n gnorng the tme value of money changes, t has also been crtczed for gnorng the dynamcs of the cash nflows obtaned durng the years after the year of full recovery. 3. Concluson Whle we compared the Net Present Value to the Internal Rate of Return, we can conclude that addng the proftablty ndex would make the pcture clearer. Whle the net present value of the frst project ($77,) s 28% larger than the net present value of the second project ($6,), the proftablty ndex of the second project () s 6% larger than the proftablty ndex of the frst project (3.2). Ths would llustrate the benefts of the proftablty ndex as a tool, especally when judgment by the net present value alone would not be conclusve. The relatve measure of the net present value may rse agan when the frm has some constrants on ts capacty of nvestment. Often there s a certan lmt as to how much any frm can fnance ts all avalable feasble projects. Hgh management of the frms may place such a lmt and determne the maxmum capacty of captal nvestment whether project fnancng s done by borrowng from banks and fnancal nsttutons or from the publc n terms of corporate bonds and equty shares. Declarng and recognzng the lmt on nvestment may mean recognzng some sort of captal scarcty, whch should most lkely lead to seekng allocaton effcency, and that s what s called captal ratonng. Captal ratonng s defned as the process of allocatng scarce fnancal captal as effcently as the frm s condtons and crcumstances permt. It s obvous that captal ratonng would be exercsed when the total funds requested to fnance all elgble projects exceeds the frm s affordablty as set by the maxmum level of fundng. Captal ratonng nvolves contemplatng every possble combnaton of projects that can be funded, and choose the best combnaton of projects that satsfy: ) Ther total requred captal would not exceed the frm s maxmum level of fundng. 2) Ther total net present value per dollar s largest among the alternatve combnatons. The followng two tables show how captal s beng ratonalzed. The frst table shows fve competng projects all of whch were consdered worthy, but the frm cannot fund all because the requred total captal s $3, and the frm s maxmum level of fundng s $2,. The second table lsts the possble combnatons of projects wth ther combned captal and combned net present values. It also lsts the remanng funds out of the avalable $2, (column 4) and ther compounded future values (column ). Column 6 adds up the combned net present value to the accumulated future value, and fnally column 7 calculates the adjusted net present value per dollar of funded captal. Ths s the column that shows whch combnaton of project s the best based on the 3

16 hghest adjusted net present value per dollar, and that would be the combnaton contanng projects (, 4, and ) whch shows 79% net present value for each dollar of ntal nvestment. Project Intal Captal NPV 2 3 4, 7,, 4, 3, 6, 4, 3, 3,, 3, 8, Project Combnaton, 2, 3,, 3,, 4, 2, 3, 4, Combned Captal Combned NPV 2 2 Remanng Fund (RM) 2 - (2) Value of Invested Remanng Funds RM(+r) n Fnal NPV (3 + ) NPV Per $ Invested (6 2) References Ahadat, N., & Brueggemann, R. I. (99). Evaluatng an nvestment proposal. Journal of Accountng Educaton, 8(2), Ansar, S. (2). The Captal Budgetng Process. McGraw-Hll/Irwn. Arya, A., Fellngham, J. C., & Glover, J. C. (998). Captal budgetng: Some exceptons to the net present value rule. Issues n Accountng Educaton, (August), Baker, J. C. (984). Captal budgetng n Amercan and European companes. Md Atlantc Journal of Busness, (Summer), -28. Berman, H. Jr., & Smdt, S. (26). The Captal Budgetng Decson: Economc Analyss of Investment Projects (9th ed.). Routledge. Blank, L. L. (988). Project selecton and the varyng level of cost/beneft nformaton. Journal of Cost Management, (Fall), -7. Brck, I. E., & Weaver, D. G. (984). Comparson of captal budgetng technques n dentfyng proftable nvestments. Fnancal Management, (Wnter), Carr, C., Kolehmanen, K., & Mtchell, F. (2). Strategc nvestment decson makng practces: A contextual approach. Management Accountng Research, (September), Carroll, J. J., & Newbould, G. D. (986). NPV vs. IRR: Wth captal budgetng, Whch do you choose? Healthcare Fnancal Management, (November), 62-64, 66, 68. Chen, S. (28). DCF technques and nonfnancal measures n captal budgetng: A contngency approach analyss. Behavoral Research n Accountng, 2(), Chen, Y., & Deng, M. (2). Captal ratonng and manageral retenton: The role of external captal. Journal of Management Accountng Research, (23), Chrstensen, C. M., & van Bever, D. (24). The captalst's delemma. Harvard Busness Revew, (June), Clancy, D. K., & Collns, D. (24). Captal budgetng research and practce: The state of the art. Advances n Management Accountng, (24), Clark, V., Reed, M., & Stephan, J. (2). Usng Monte Carlo smulaton for a captal budgetng project. Management Accountng Quarterly, (Fall),

17 Dempsey, S. J. (23). On the benefts of a mathematcal solutons approach to tme value of money nstructon: Arguments and evdence. Journal of Accountng Educaton, 2(3), Gornk-Tomaszewsk, S. (24). Captal budgetng smulaton usng Excel: Enhancng the dscusson of rsk n manageral accountng classes. Management Accountng Quarterly, (Summer), 2-7. Hrschey, M. (26). Manageral Economcs. Thompson South-Western. Keat, P., & Young, P. (26). Manageral Economcs: Economc Tools for Today s Decson Makers. Pearson-Prentce Hall. Marlowe, J., Rvenbark, W. C., & Vogt, A. J. (Eds.). (29). Captal Budgetng and Fnance: A Gude for Local Governments (2nd ed.). Internatonal Cty/County Management Assocaton. Salvatore, D. (22). Manageral Economes n a Global Economy. Oxford Unversty Press. Samuelson, W., & Marks, S. (23). Manageral Economcs. Wley. Varshney, R. L., & Maheshwar, K. L. (2). Manegeral Economcs. New Delh: Sultan Chand & Sons. Webster, T. (23). Manageral Economcs: Theory and Practce. Academc Press. Copyrghts Copyrght for ths artcle s retaned by the author, wth frst publcaton rghts granted to the journal. Ths s an open-access artcle dstrbuted under the terms and condtons of the Creatve Commons Attrbuton lcense ( 32

Finance 402: Problem Set 1 Solutions

Finance 402: Problem Set 1 Solutions Fnance 402: Problem Set 1 Solutons Note: Where approprate, the fnal answer for each problem s gven n bold talcs for those not nterested n the dscusson of the soluton. 1. The annual coupon rate s 6%. A

More information

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes

Chapter 10 Making Choices: The Method, MARR, and Multiple Attributes Chapter 0 Makng Choces: The Method, MARR, and Multple Attrbutes INEN 303 Sergy Butenko Industral & Systems Engneerng Texas A&M Unversty Comparng Mutually Exclusve Alternatves by Dfferent Evaluaton Methods

More information

Money, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id #

Money, Banking, and Financial Markets (Econ 353) Midterm Examination I June 27, Name Univ. Id # Money, Bankng, and Fnancal Markets (Econ 353) Mdterm Examnaton I June 27, 2005 Name Unv. Id # Note: Each multple-choce queston s worth 4 ponts. Problems 20, 21, and 22 carry 10, 8, and 10 ponts, respectvely.

More information

Lecture Note 2 Time Value of Money

Lecture Note 2 Time Value of Money Seg250 Management Prncples for Engneerng Managers Lecture ote 2 Tme Value of Money Department of Systems Engneerng and Engneerng Management The Chnese Unversty of Hong Kong Interest: The Cost of Money

More information

Quiz on Deterministic part of course October 22, 2002

Quiz on Deterministic part of course October 22, 2002 Engneerng ystems Analyss for Desgn Quz on Determnstc part of course October 22, 2002 Ths s a closed book exercse. You may use calculators Grade Tables There are 90 ponts possble for the regular test, or

More information

IND E 250 Final Exam Solutions June 8, Section A. Multiple choice and simple computation. [5 points each] (Version A)

IND E 250 Final Exam Solutions June 8, Section A. Multiple choice and simple computation. [5 points each] (Version A) IND E 20 Fnal Exam Solutons June 8, 2006 Secton A. Multple choce and smple computaton. [ ponts each] (Verson A) (-) Four ndependent projects, each wth rsk free cash flows, have the followng B/C ratos:

More information

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1

Survey of Math: Chapter 22: Consumer Finance Borrowing Page 1 Survey of Math: Chapter 22: Consumer Fnance Borrowng Page 1 APR and EAR Borrowng s savng looked at from a dfferent perspectve. The dea of smple nterest and compound nterest stll apply. A new term s the

More information

STUDY GUIDE FOR TOPIC 1: FUNDAMENTAL CONCEPTS OF FINANCIAL MATHEMATICS. Learning objectives

STUDY GUIDE FOR TOPIC 1: FUNDAMENTAL CONCEPTS OF FINANCIAL MATHEMATICS. Learning objectives Study Gude for Topc 1 1 STUDY GUIDE FOR TOPIC 1: FUNDAMENTAL CONCEPTS OF FINANCIAL MATHEMATICS Learnng objectves After studyng ths topc you should be able to: apprecate the ever-changng envronment n whch

More information

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999

FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS. Richard M. Levich. New York University Stern School of Business. Revised, February 1999 FORD MOTOR CREDIT COMPANY SUGGESTED ANSWERS by Rchard M. Levch New York Unversty Stern School of Busness Revsed, February 1999 1 SETTING UP THE PROBLEM The bond s beng sold to Swss nvestors for a prce

More information

Chapter 6: An Economic Appraisal Technique: PBP and ARR Kim, GT IE of Chosun University

Chapter 6: An Economic Appraisal Technique: PBP and ARR Kim, GT IE of Chosun University Chapter 6: n Economc pprasal Technque: PBP and RR The Purpose of n Economc pprasal n economc apprasal s a ven to accomplsh a corporate objectve. In other words, t s commensurate wth evaluatng the corporate

More information

REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY

REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY 1 Table of Contents INTRODUCTION 3 TR Prvate Equty Buyout Index 3 INDEX COMPOSITION 3 Sector Portfolos 4 Sector Weghtng 5 Index Rebalance 5 Index

More information

FM303. CHAPTERS COVERED : CHAPTERS 5, 8 and 9. LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3. DUE DATE : 3:00 p.m. 19 MARCH 2013

FM303. CHAPTERS COVERED : CHAPTERS 5, 8 and 9. LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3. DUE DATE : 3:00 p.m. 19 MARCH 2013 Page 1 of 11 ASSIGNMENT 1 ST SEMESTER : FINANCIAL MANAGEMENT 3 () CHAPTERS COVERED : CHAPTERS 5, 8 and 9 LEARNER GUIDE : UNITS 1, 2 and 3.1 to 3.3 DUE DATE : 3:00 p.m. 19 MARCH 2013 TOTAL MARKS : 100 INSTRUCTIONS

More information

Elements of Economic Analysis II Lecture VI: Industry Supply

Elements of Economic Analysis II Lecture VI: Industry Supply Elements of Economc Analyss II Lecture VI: Industry Supply Ka Hao Yang 10/12/2017 In the prevous lecture, we analyzed the frm s supply decson usng a set of smple graphcal analyses. In fact, the dscusson

More information

Least Cost Strategies for Complying with New NOx Emissions Limits

Least Cost Strategies for Complying with New NOx Emissions Limits Least Cost Strateges for Complyng wth New NOx Emssons Lmts Internatonal Assocaton for Energy Economcs New England Chapter Presented by Assef A. Zoban Tabors Caramans & Assocates Cambrdge, MA 02138 January

More information

Facility Location Problem. Learning objectives. Antti Salonen Farzaneh Ahmadzadeh

Facility Location Problem. Learning objectives. Antti Salonen Farzaneh Ahmadzadeh Antt Salonen Farzaneh Ahmadzadeh 1 Faclty Locaton Problem The study of faclty locaton problems, also known as locaton analyss, s a branch of operatons research concerned wth the optmal placement of facltes

More information

ISE High Income Index Methodology

ISE High Income Index Methodology ISE Hgh Income Index Methodology Index Descrpton The ISE Hgh Income Index s desgned to track the returns and ncome of the top 30 U.S lsted Closed-End Funds. Index Calculaton The ISE Hgh Income Index s

More information

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME

A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME A MODEL OF COMPETITION AMONG TELECOMMUNICATION SERVICE PROVIDERS BASED ON REPEATED GAME Vesna Radonć Đogatovć, Valentna Radočć Unversty of Belgrade Faculty of Transport and Traffc Engneerng Belgrade, Serba

More information

Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost

Economic Design of Short-Run CSP-1 Plan Under Linear Inspection Cost Tamkang Journal of Scence and Engneerng, Vol. 9, No 1, pp. 19 23 (2006) 19 Economc Desgn of Short-Run CSP-1 Plan Under Lnear Inspecton Cost Chung-Ho Chen 1 * and Chao-Yu Chou 2 1 Department of Industral

More information

OPERATIONS RESEARCH. Game Theory

OPERATIONS RESEARCH. Game Theory OPERATIONS RESEARCH Chapter 2 Game Theory Prof. Bbhas C. Gr Department of Mathematcs Jadavpur Unversty Kolkata, Inda Emal: bcgr.umath@gmal.com 1.0 Introducton Game theory was developed for decson makng

More information

Tests for Two Correlations

Tests for Two Correlations PASS Sample Sze Software Chapter 805 Tests for Two Correlatons Introducton The correlaton coeffcent (or correlaton), ρ, s a popular parameter for descrbng the strength of the assocaton between two varables.

More information

Consumption Based Asset Pricing

Consumption Based Asset Pricing Consumpton Based Asset Prcng Mchael Bar Aprl 25, 208 Contents Introducton 2 Model 2. Prcng rsk-free asset............................... 3 2.2 Prcng rsky assets................................ 4 2.3 Bubbles......................................

More information

INTERNATIONAL CAPITAL BUDGETING

INTERNATIONAL CAPITAL BUDGETING INTERNATIONAL CAPITAL BUDGETING Sources: Internatonal Fnancal Management; Eun and Resnck Multnatonal Fnancal Management; Shapro Modern Corporate Fnance; Shapro Internatonal Fnancal Management; P G Apte

More information

AC : THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS

AC : THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS AC 2008-1635: THE DIAGRAMMATIC AND MATHEMATICAL APPROACH OF PROJECT TIME-COST TRADEOFFS Kun-jung Hsu, Leader Unversty Amercan Socety for Engneerng Educaton, 2008 Page 13.1217.1 Ttle of the Paper: The Dagrammatc

More information

Financial mathematics

Financial mathematics Fnancal mathematcs Jean-Luc Bouchot jean-luc.bouchot@drexel.edu February 19, 2013 Warnng Ths s a work n progress. I can not ensure t to be mstake free at the moment. It s also lackng some nformaton. But

More information

Clearing Notice SIX x-clear Ltd

Clearing Notice SIX x-clear Ltd Clearng Notce SIX x-clear Ltd 1.0 Overvew Changes to margn and default fund model arrangements SIX x-clear ( x-clear ) s closely montorng the CCP envronment n Europe as well as the needs of ts Members.

More information

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019

15-451/651: Design & Analysis of Algorithms January 22, 2019 Lecture #3: Amortized Analysis last changed: January 18, 2019 5-45/65: Desgn & Analyss of Algorthms January, 09 Lecture #3: Amortzed Analyss last changed: January 8, 09 Introducton In ths lecture we dscuss a useful form of analyss, called amortzed analyss, for problems

More information

Monetary Tightening Cycles and the Predictability of Economic Activity. by Tobias Adrian and Arturo Estrella * October 2006.

Monetary Tightening Cycles and the Predictability of Economic Activity. by Tobias Adrian and Arturo Estrella * October 2006. Monetary Tghtenng Cycles and the Predctablty of Economc Actvty by Tobas Adran and Arturo Estrella * October 2006 Abstract Ten out of thrteen monetary tghtenng cycles snce 1955 were followed by ncreases

More information

THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS

THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS North Amercan Journal of Fnance and Bankng Research Vol. 4. No. 4. 010. THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS Central Connectcut State Unversty, USA. E-mal: BelloZ@mal.ccsu.edu ABSTRACT I nvestgated

More information

4. Greek Letters, Value-at-Risk

4. Greek Letters, Value-at-Risk 4 Greek Letters, Value-at-Rsk 4 Value-at-Rsk (Hull s, Chapter 8) Math443 W08, HM Zhu Outlne (Hull, Chap 8) What s Value at Rsk (VaR)? Hstorcal smulatons Monte Carlo smulatons Model based approach Varance-covarance

More information

iii) pay F P 0,T = S 0 e δt when stock has dividend yield δ.

iii) pay F P 0,T = S 0 e δt when stock has dividend yield δ. Fnal s Wed May 7, 12:50-2:50 You are allowed 15 sheets of notes and a calculator The fnal s cumulatve, so you should know everythng on the frst 4 revews Ths materal not on those revews 184) Suppose S t

More information

Understanding Annuities. Some Algebraic Terminology.

Understanding Annuities. Some Algebraic Terminology. Understandng Annutes Ma 162 Sprng 2010 Ma 162 Sprng 2010 March 22, 2010 Some Algebrac Termnology We recall some terms and calculatons from elementary algebra A fnte sequence of numbers s a functon of natural

More information

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of Module 8: Probablty and Statstcal Methods n Water Resources Engneerng Bob Ptt Unversty of Alabama Tuscaloosa, AL Flow data are avalable from numerous USGS operated flow recordng statons. Data s usually

More information

c slope = -(1+i)/(1+π 2 ) MRS (between consumption in consecutive time periods) price ratio (across consecutive time periods)

c slope = -(1+i)/(1+π 2 ) MRS (between consumption in consecutive time periods) price ratio (across consecutive time periods) CONSUMPTION-SAVINGS FRAMEWORK (CONTINUED) SEPTEMBER 24, 2013 The Graphcs of the Consumpton-Savngs Model CONSUMER OPTIMIZATION Consumer s decson problem: maxmze lfetme utlty subject to lfetme budget constrant

More information

Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13) Proceedngs of the 2nd Internatonal Conference On Systems Engneerng and Modelng (ICSEM-13) Research on the Proft Dstrbuton of Logstcs Company Strategc Allance Based on Shapley Value Huang Youfang 1, a,

More information

Chapter 5 Bonds, Bond Prices and the Determination of Interest Rates

Chapter 5 Bonds, Bond Prices and the Determination of Interest Rates Chapter 5 Bonds, Bond Prces and the Determnaton of Interest Rates Problems and Solutons 1. Consder a U.S. Treasury Bll wth 270 days to maturty. If the annual yeld s 3.8 percent, what s the prce? $100 P

More information

UNIVERSITY OF NOTTINGHAM

UNIVERSITY OF NOTTINGHAM UNIVERSITY OF NOTTINGHAM SCHOOL OF ECONOMICS DISCUSSION PAPER 99/28 Welfare Analyss n a Cournot Game wth a Publc Good by Indraneel Dasgupta School of Economcs, Unversty of Nottngham, Nottngham NG7 2RD,

More information

Lecture 10: Valuation Models (with an Introduction to Capital Budgeting).

Lecture 10: Valuation Models (with an Introduction to Capital Budgeting). Foundatons of Fnance Lecture 10: Valuaton Models (wth an Introducton to Captal Budgetng). I. Readng. II. Introducton. III. Dscounted Cash Flow Models. IV. Relatve Valuaton Approaches. V. Contngent Clam

More information

Finite Math - Fall Section Future Value of an Annuity; Sinking Funds

Finite Math - Fall Section Future Value of an Annuity; Sinking Funds Fnte Math - Fall 2016 Lecture Notes - 9/19/2016 Secton 3.3 - Future Value of an Annuty; Snkng Funds Snkng Funds. We can turn the annutes pcture around and ask how much we would need to depost nto an account

More information

Stochastic ALM models - General Methodology

Stochastic ALM models - General Methodology Stochastc ALM models - General Methodology Stochastc ALM models are generally mplemented wthn separate modules: A stochastc scenaros generator (ESG) A cash-flow projecton tool (or ALM projecton) For projectng

More information

SOCIETY OF ACTUARIES FINANCIAL MATHEMATICS. EXAM FM SAMPLE SOLUTIONS Interest Theory

SOCIETY OF ACTUARIES FINANCIAL MATHEMATICS. EXAM FM SAMPLE SOLUTIONS Interest Theory SOCIETY OF ACTUARIES EXAM FM FINANCIAL MATHEMATICS EXAM FM SAMPLE SOLUTIONS Interest Theory Ths page ndcates changes made to Study Note FM-09-05. January 14, 014: Questons and solutons 58 60 were added.

More information

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8 Department of Economcs Prof. Gustavo Indart Unversty of Toronto November 9, 2006 SOLUTION ECO 209Y MACROECONOMIC THEORY Term Test #1 A LAST NAME FIRST NAME STUDENT NUMBER Crcle your secton of the course:

More information

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8

University of Toronto November 9, 2006 ECO 209Y MACROECONOMIC THEORY. Term Test #1 L0101 L0201 L0401 L5101 MW MW 1-2 MW 2-3 W 6-8 Department of Economcs Prof. Gustavo Indart Unversty of Toronto November 9, 2006 SOLUTION ECO 209Y MACROECONOMIC THEORY Term Test #1 C LAST NAME FIRST NAME STUDENT NUMBER Crcle your secton of the course:

More information

Morningstar After-Tax Return Methodology

Morningstar After-Tax Return Methodology Mornngstar After-Tax Return Methodology Mornngstar Research Report 24 October 2003 2003 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property of Mornngstar, Inc. Reproducton

More information

Price and Quantity Competition Revisited. Abstract

Price and Quantity Competition Revisited. Abstract rce and uantty Competton Revsted X. Henry Wang Unversty of Mssour - Columba Abstract By enlargng the parameter space orgnally consdered by Sngh and Vves (984 to allow for a wder range of cost asymmetry,

More information

Macroeconomic Theory and Policy

Macroeconomic Theory and Policy ECO 209 Macroeconomc Theory and Polcy Lecture 7: The Open Economy wth Fxed Exchange Rates Gustavo Indart Slde 1 Open Economy under Fxed Exchange Rates Let s consder an open economy wth no captal moblty

More information

OCR Statistics 1 Working with data. Section 2: Measures of location

OCR Statistics 1 Working with data. Section 2: Measures of location OCR Statstcs 1 Workng wth data Secton 2: Measures of locaton Notes and Examples These notes have sub-sectons on: The medan Estmatng the medan from grouped data The mean Estmatng the mean from grouped data

More information

7.4. Annuities. Investigate

7.4. Annuities. Investigate 7.4 Annutes How would you lke to be a mllonare wthout workng all your lfe to earn t? Perhaps f you were lucky enough to wn a lottery or have an amazng run on a televson game show, t would happen. For most

More information

Solution of periodic review inventory model with general constrains

Solution of periodic review inventory model with general constrains Soluton of perodc revew nventory model wth general constrans Soluton of perodc revew nventory model wth general constrans Prof Dr J Benkő SZIU Gödöllő Summary Reasons for presence of nventory (stock of

More information

Tests for Two Ordered Categorical Variables

Tests for Two Ordered Categorical Variables Chapter 253 Tests for Two Ordered Categorcal Varables Introducton Ths module computes power and sample sze for tests of ordered categorcal data such as Lkert scale data. Assumng proportonal odds, such

More information

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates Secton on Survey Research Methods An Applcaton of Alternatve Weghtng Matrx Collapsng Approaches for Improvng Sample Estmates Lnda Tompkns 1, Jay J. Km 2 1 Centers for Dsease Control and Preventon, atonal

More information

- contrast so-called first-best outcome of Lindahl equilibrium with case of private provision through voluntary contributions of households

- contrast so-called first-best outcome of Lindahl equilibrium with case of private provision through voluntary contributions of households Prvate Provson - contrast so-called frst-best outcome of Lndahl equlbrum wth case of prvate provson through voluntary contrbutons of households - need to make an assumpton about how each household expects

More information

Appendix - Normally Distributed Admissible Choices are Optimal

Appendix - Normally Distributed Admissible Choices are Optimal Appendx - Normally Dstrbuted Admssble Choces are Optmal James N. Bodurtha, Jr. McDonough School of Busness Georgetown Unversty and Q Shen Stafford Partners Aprl 994 latest revson September 00 Abstract

More information

Hewlett Packard 10BII Calculator

Hewlett Packard 10BII Calculator Hewlett Packard 0BII Calculator Keystrokes for the HP 0BII are shown n the tet. However, takng a mnute to revew the Quk Start secton, below, wll be very helpful n gettng started wth your calculator. Note:

More information

Macroeconomic Theory and Policy

Macroeconomic Theory and Policy ECO 209 Macroeconomc Theory and Polcy Lecture 7: The Open Economy wth Fxed Exchange Rates Gustavo Indart Slde 1 Open Economy under Fxed Exchange Rates Let s consder an open economy wth no captal moblty

More information

Mutual Funds and Management Styles. Active Portfolio Management

Mutual Funds and Management Styles. Active Portfolio Management utual Funds and anagement Styles ctve Portfolo anagement ctve Portfolo anagement What s actve portfolo management? How can we measure the contrbuton of actve portfolo management? We start out wth the CP

More information

Actuarial Science: Financial Mathematics

Actuarial Science: Financial Mathematics STAT 485 Actuaral Scence: Fnancal Mathematcs 1.1.1 Effectve Rates of Interest Defnton Defnton lender. An nterest s money earned by deposted funds. An nterest rate s the rate at whch nterest s pad to the

More information

MgtOp 215 Chapter 13 Dr. Ahn

MgtOp 215 Chapter 13 Dr. Ahn MgtOp 5 Chapter 3 Dr Ahn Consder two random varables X and Y wth,,, In order to study the relatonshp between the two random varables, we need a numercal measure that descrbes the relatonshp The covarance

More information

Mathematical Thinking Exam 1 09 October 2017

Mathematical Thinking Exam 1 09 October 2017 Mathematcal Thnkng Exam 1 09 October 2017 Name: Instructons: Be sure to read each problem s drectons. Wrte clearly durng the exam and fully erase or mark out anythng you do not want graded. You may use

More information

Learning Objectives. The Economic Justification of Telecommunications Projects. Describe these concepts

Learning Objectives. The Economic Justification of Telecommunications Projects. Describe these concepts Copyrght 200 Martn B.H. Wess Lecture otes The Economc Justfcaton of Telecommuncatons Projects Martn B.H. Wess Telecommuncatons Program Unversty of Pttsburgh Learnng Objectves Descrbe these concepts Present

More information

Financial Risk Management in Portfolio Optimization with Lower Partial Moment

Financial Risk Management in Portfolio Optimization with Lower Partial Moment Amercan Journal of Busness and Socety Vol., o., 26, pp. 2-2 http://www.ascence.org/journal/ajbs Fnancal Rsk Management n Portfolo Optmzaton wth Lower Partal Moment Lam Weng Sew, 2, *, Lam Weng Hoe, 2 Department

More information

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS QUESTIONS 9.1. (a) In a log-log model the dependent and all explanatory varables are n the logarthmc form. (b) In the log-ln model the dependent varable

More information

ISE Cloud Computing Index Methodology

ISE Cloud Computing Index Methodology ISE Cloud Computng Index Methodology Index Descrpton The ISE Cloud Computng Index s desgned to track the performance of companes nvolved n the cloud computng ndustry. Index Calculaton The ISE Cloud Computng

More information

A Utilitarian Approach of the Rawls s Difference Principle

A Utilitarian Approach of the Rawls s Difference Principle 1 A Utltaran Approach of the Rawls s Dfference Prncple Hyeok Yong Kwon a,1, Hang Keun Ryu b,2 a Department of Poltcal Scence, Korea Unversty, Seoul, Korea, 136-701 b Department of Economcs, Chung Ang Unversty,

More information

EDC Introduction

EDC Introduction .0 Introducton EDC3 In the last set of notes (EDC), we saw how to use penalty factors n solvng the EDC problem wth losses. In ths set of notes, we want to address two closely related ssues. What are, exactly,

More information

Problem Set 6 Finance 1,

Problem Set 6 Finance 1, Carnege Mellon Unversty Graduate School of Industral Admnstraton Chrs Telmer Wnter 2006 Problem Set 6 Fnance, 47-720. (representatve agent constructon) Consder the followng two-perod, two-agent economy.

More information

Highlights of the Macroprudential Report for June 2018

Highlights of the Macroprudential Report for June 2018 Hghlghts of the Macroprudental Report for June 2018 October 2018 FINANCIAL STABILITY DEPARTMENT Preface Bank of Jamaca frequently conducts assessments of the reslence and strength of the fnancal system.

More information

Instituto de Engenharia de Sistemas e Computadores de Coimbra Institute of Systems Engineering and Computers INESC - Coimbra

Instituto de Engenharia de Sistemas e Computadores de Coimbra Institute of Systems Engineering and Computers INESC - Coimbra Insttuto de Engenhara de Sstemas e Computadores de Combra Insttute of Systems Engneerng and Computers INESC - Combra Joana Das Can we really gnore tme n Smple Plant Locaton Problems? No. 7 2015 ISSN: 1645-2631

More information

Finite Mathematics for Business Economics Life Sciences Social Sciences Barnett Ziegler Byleen Twelfth Edition

Finite Mathematics for Business Economics Life Sciences Social Sciences Barnett Ziegler Byleen Twelfth Edition Fnte Mathematcs for Busness Economcs Lfe Scences Socal Scences Barnett Zegler Byleen Twelfth Edton Pearson Educaton Lmted Ednburgh Gate Harlow Essex CM20 2JE England and Assocated Companes throughout the

More information

Domestic Savings and International Capital Flows

Domestic Savings and International Capital Flows Domestc Savngs and Internatonal Captal Flows Martn Feldsten and Charles Horoka The Economc Journal, June 1980 Presented by Mchael Mbate and Chrstoph Schnke Introducton The 2 Vews of Internatonal Captal

More information

Understanding price volatility in electricity markets

Understanding price volatility in electricity markets Proceedngs of the 33rd Hawa Internatonal Conference on System Scences - 2 Understandng prce volatlty n electrcty markets Fernando L. Alvarado, The Unversty of Wsconsn Rajesh Rajaraman, Chrstensen Assocates

More information

Introduction. Chapter 7 - An Introduction to Portfolio Management

Introduction. Chapter 7 - An Introduction to Portfolio Management Introducton In the next three chapters, we wll examne dfferent aspects of captal market theory, ncludng: Brngng rsk and return nto the pcture of nvestment management Markowtz optmzaton Modelng rsk and

More information

Analysis of the Influence of Expenditure Policies of Government on Macroeconomic behavior of an Agent- Based Artificial Economic System

Analysis of the Influence of Expenditure Policies of Government on Macroeconomic behavior of an Agent- Based Artificial Economic System Analyss of the Influence of Expendture olces of Government on Macroeconomc behavor of an Agent- Based Artfcal Economc System Shgeak Ogbayash 1 and Kouse Takashma 1 1 School of Socal Systems Scence Chba

More information

/ Computational Genomics. Normalization

/ Computational Genomics. Normalization 0-80 /02-70 Computatonal Genomcs Normalzaton Gene Expresson Analyss Model Computatonal nformaton fuson Bologcal regulatory networks Pattern Recognton Data Analyss clusterng, classfcaton normalzaton, mss.

More information

Creating a zero coupon curve by bootstrapping with cubic splines.

Creating a zero coupon curve by bootstrapping with cubic splines. MMA 708 Analytcal Fnance II Creatng a zero coupon curve by bootstrappng wth cubc splnes. erg Gryshkevych Professor: Jan R. M. Röman 0.2.200 Dvson of Appled Mathematcs chool of Educaton, Culture and Communcaton

More information

2) In the medium-run/long-run, a decrease in the budget deficit will produce:

2) In the medium-run/long-run, a decrease in the budget deficit will produce: 4.02 Quz 2 Solutons Fall 2004 Multple-Choce Questons ) Consder the wage-settng and prce-settng equatons we studed n class. Suppose the markup, µ, equals 0.25, and F(u,z) = -u. What s the natural rate of

More information

Raising Food Prices and Welfare Change: A Simple Calibration. Xiaohua Yu

Raising Food Prices and Welfare Change: A Simple Calibration. Xiaohua Yu Rasng Food Prces and Welfare Change: A Smple Calbraton Xaohua Yu Professor of Agrcultural Economcs Courant Research Centre Poverty, Equty and Growth Unversty of Göttngen CRC-PEG, Wlhelm-weber-Str. 2 3773

More information

THIRD MIDTERM EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MARCH 24, 2004

THIRD MIDTERM EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MARCH 24, 2004 THIRD MIDTERM EXAM EC26102: MONEY, BANKING AND FINANCIAL MARKETS MARCH 24, 2004 Ths exam has questons on eght pages. Before you begn, please check to make sure that your copy has all questons and all eght

More information

Microeconomics: BSc Year One Extending Choice Theory

Microeconomics: BSc Year One Extending Choice Theory mcroeconomcs notes from http://www.economc-truth.co.uk by Tm Mller Mcroeconomcs: BSc Year One Extendng Choce Theory Consumers, obvously, mostly have a choce of more than two goods; and to fnd the favourable

More information

Benefit-Cost Analysis

Benefit-Cost Analysis Chapter 12 Beneft-Cost Analyss Utlty Possbltes and Potental Pareto Improvement Wthout explct nstructons about how to compare one person s benefts wth the losses of another, we can not expect beneft-cost

More information

LECTURE 3. Chapter # 5: Understanding Interest Rates: Determinants and Movements

LECTURE 3. Chapter # 5: Understanding Interest Rates: Determinants and Movements LECTURE 3 Hamza Al alk Econ 3215: oney and ankng Wnter 2007 Chapter # 5: Understandng Interest Rates: Determnants and ovements The Loanable Funds Approach suggests that nterest rate levels are determned

More information

Evaluating Performance

Evaluating Performance 5 Chapter Evaluatng Performance In Ths Chapter Dollar-Weghted Rate of Return Tme-Weghted Rate of Return Income Rate of Return Prncpal Rate of Return Daly Returns MPT Statstcs 5- Measurng Rates of Return

More information

Pivot Points for CQG - Overview

Pivot Points for CQG - Overview Pvot Ponts for CQG - Overvew By Bran Bell Introducton Pvot ponts are a well-known technque used by floor traders to calculate ntraday support and resstance levels. Ths technque has been around for decades,

More information

Теоретические основы и методология имитационного и комплексного моделирования

Теоретические основы и методология имитационного и комплексного моделирования MONTE-CARLO STATISTICAL MODELLING METHOD USING FOR INVESTIGA- TION OF ECONOMIC AND SOCIAL SYSTEMS Vladmrs Jansons, Vtaljs Jurenoks, Konstantns Ddenko (Latva). THE COMMO SCHEME OF USI G OF TRADITIO AL METHOD

More information

Risk and Return: The Security Markets Line

Risk and Return: The Security Markets Line FIN 614 Rsk and Return 3: Markets Professor Robert B.H. Hauswald Kogod School of Busness, AU 1/25/2011 Rsk and Return: Markets Robert B.H. Hauswald 1 Rsk and Return: The Securty Markets Lne From securtes

More information

Optimal Portfolio Construction (A Case Study of LQ45 Index in Indonesia Stock Exchange)

Optimal Portfolio Construction (A Case Study of LQ45 Index in Indonesia Stock Exchange) Internatonal Journal of Scence and Research (IJSR) ISS (Onlne): 319-7064 Index Coperncus Value (013): 6.14 Impact Factor (013): 4.438 Optmal Portfolo Constructon (A Case Study of LQ45 Index n Indonesa

More information

ECO 209Y MACROECONOMIC THEORY AND POLICY LECTURE 8: THE OPEN ECONOMY WITH FIXED EXCHANGE RATES

ECO 209Y MACROECONOMIC THEORY AND POLICY LECTURE 8: THE OPEN ECONOMY WITH FIXED EXCHANGE RATES ECO 209 MACROECONOMIC THEOR AND POLIC LECTURE 8: THE OPEN ECONOM WITH FIXED EXCHANGE RATES Gustavo Indart Slde 1 OPEN ECONOM UNDER FIXED EXCHANGE RATES Let s consder an open economy wth no captal moblty

More information

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9

Elton, Gruber, Brown, and Goetzmann. Modern Portfolio Theory and Investment Analysis, 7th Edition. Solutions to Text Problems: Chapter 9 Elton, Gruber, Brown, and Goetzmann Modern Portfolo Theory and Investment Analyss, 7th Edton Solutons to Text Problems: Chapter 9 Chapter 9: Problem In the table below, gven that the rskless rate equals

More information

Standardization. Stan Becker, PhD Bloomberg School of Public Health

Standardization. Stan Becker, PhD Bloomberg School of Public Health Ths work s lcensed under a Creatve Commons Attrbuton-NonCommercal-ShareAlke Lcense. Your use of ths materal consttutes acceptance of that lcense and the condtons of use of materals on ths ste. Copyrght

More information

Quality Insights: Measurement and quality rationing: an analytical approach. Adedeji B. Badiru* and Anna E. Maloney

Quality Insights: Measurement and quality rationing: an analytical approach. Adedeji B. Badiru* and Anna E. Maloney Int. J. Qualty Engneerng and Technology, Vol. X, No. Y, xxxx Qualty Insghts: Measurement and qualty ratonng: an analytcal approach Adedej B. Badru* and Anna E. Maloney Ar Force Insttute of Technology,

More information

Advisory. Category: Capital

Advisory. Category: Capital Advsory Category: Captal NOTICE* Subject: Alternatve Method for Insurance Companes that Determne the Segregated Fund Guarantee Captal Requrement Usng Prescrbed Factors Date: Ths Advsory descrbes an alternatve

More information

Applications of Myerson s Lemma

Applications of Myerson s Lemma Applcatons of Myerson s Lemma Professor Greenwald 28-2-7 We apply Myerson s lemma to solve the sngle-good aucton, and the generalzaton n whch there are k dentcal copes of the good. Our objectve s welfare

More information

New Distance Measures on Dual Hesitant Fuzzy Sets and Their Application in Pattern Recognition

New Distance Measures on Dual Hesitant Fuzzy Sets and Their Application in Pattern Recognition Journal of Artfcal Intellgence Practce (206) : 8-3 Clausus Scentfc Press, Canada New Dstance Measures on Dual Hestant Fuzzy Sets and Ther Applcaton n Pattern Recognton L Xn a, Zhang Xaohong* b College

More information

Administrative Services (4510P)

Administrative Services (4510P) Department: Publc Works FY 2003 and 2004 Recommended Budget Program Outcome Statement The Admnstratve Servces Dvson gudes and supports the department n accomplshng ts msson through collaboratve, nnovatve

More information

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode.

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode. Part 4 Measures of Spread IQR and Devaton In Part we learned how the three measures of center offer dfferent ways of provdng us wth a sngle representatve value for a data set. However, consder the followng

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

Maturity Effect on Risk Measure in a Ratings-Based Default-Mode Model

Maturity Effect on Risk Measure in a Ratings-Based Default-Mode Model TU Braunschweg - Insttut für Wrtschaftswssenschaften Lehrstuhl Fnanzwrtschaft Maturty Effect on Rsk Measure n a Ratngs-Based Default-Mode Model Marc Gürtler and Drk Hethecker Fnancal Modellng Workshop

More information

Fall 2016 Social Sciences 7418 University of Wisconsin-Madison. Transactions and Portfolio Crowding Out

Fall 2016 Social Sciences 7418 University of Wisconsin-Madison. Transactions and Portfolio Crowding Out Economcs 435 Menze D. Cnn Fall 6 Socal Scences 748 Unversty of Wsconsn-Madson. Standard IS-LM Transactons and ortfolo Crowdng Out Transactons crowdng out of nvestment s te reducton n nvestment attrbutable

More information

3/3/2014. CDS M Phil Econometrics. Vijayamohanan Pillai N. Truncated standard normal distribution for a = 0.5, 0, and 0.5. CDS Mphil Econometrics

3/3/2014. CDS M Phil Econometrics. Vijayamohanan Pillai N. Truncated standard normal distribution for a = 0.5, 0, and 0.5. CDS Mphil Econometrics Lmted Dependent Varable Models: Tobt an Plla N 1 CDS Mphl Econometrcs Introducton Lmted Dependent Varable Models: Truncaton and Censorng Maddala, G. 1983. Lmted Dependent and Qualtatve Varables n Econometrcs.

More information

Term Sheet CORE INFRA PORTFOLIO

Term Sheet CORE INFRA PORTFOLIO Term Sheet CORE INFRA PORTFOLIO HIGHLIGHTS/ SUMMARY OF THE PRODUCT Product Name Objectve Investment Horzon Underlyng Asset class Instruments Usage of Dervatves Rsk Sutablty Defned Tenure Repayment Benchmark

More information

Call & Put Butterfly Spreads Test of SET50 Index Options Market Efficiency and SET50 Index Options Contract Adjustment

Call & Put Butterfly Spreads Test of SET50 Index Options Market Efficiency and SET50 Index Options Contract Adjustment Call & Put Butterfly preads est of E50 Index Optons Market Effcency and E50 Index Optons Contract Adjustment Woradee Jongadsayakul Abstract hs paper tests the effcency of E50 Index Optons market and nvestgates

More information