Ranking of mutually exclusive investment projects how cash flow differences can solve the ranking problem

Size: px
Start display at page:

Download "Ranking of mutually exclusive investment projects how cash flow differences can solve the ranking problem"

Transcription

1 Chrisia Kalhoefer (Egyp) Ivesme Maageme ad Fiacial Iovaios, Volume 7, Issue 2, 2 Rakig of muually exclusive ivesme projecs how cash flow differeces ca solve he rakig problem bsrac The discussio abou he bes mehod o be used i capial budgeig has bee log ad iesive. Differeces bewee Ne Prese Value ad Ieral Rae of Reur seem o cause everlasig problems, while especially he Ieral Rae of Reur ofe is egleced as a appropriae measure. famous example of he problems caused by he differe approaches is he rakig of muually exclusive projecs. The paper explais he reaso for hese differeces ad saes how his problem ca be solved. This is, oher ha i previous coribuios, doe wihou iroducig ew ad more complicaed measures, bu by explaiig he aure of ad differeces bewee Ne Prese Value ad Ieral Rae of Reur. Keywords: capial budgeig, ieral rae of reur, e prese value, rakig problem, icremeal approach, reivesme rae. JEL Classificaio: G3, G. Iroducio The rakig of muually exclusive ivesme projec is ieresig for pracice as well as i heory ad has bee broadly discussed sice may years. Oe of he mai cocers is he poeial differece bewee he assessme resuls derived from eiher Ne Prese Value (NPV) or Ieral Rae of Reur (IRR). These differeces bewee Ne Prese Value ad Ieral Rae of Reur seem o cause everlasig problems. Especially he Ieral Rae of Reur usually is egleced i heory as a appropriae measure bu everheless broadly used i pracice. While several aemps have bee made o deal wih his problem, i seems as if previous soluios did come o he core of he problem. Proposed suggesios usually eiher ry o solve he problem by fidig a ew ierpreaio of he IRR or by creaig highly sophisicaed mahemaical add-os for or modificaios of he IRR i order o ge he same rakig iformaio as he NPV. From a mahemaical poi of view, he reasos for he differe resuls are he cash flow differeces bewee differe ivesme projecs. The major quesio whe applyig ivesme appraisal echiques o rak muually exclusive projecs is how o deal wih hese differeces. This paper is preseig a explaaio for hese rakig differeces, wihou iroducig ew ad more complicaed measures, bu by aalyzig he aure of ad differeces bewee Ne Prese Value ad Ieral Rae of Reur. The aim of his paper is o explai how a correc usage of boh ivesme appraisals leads o ideical resuls. However, i should clearly be meioed ha hese resuls should o be misudersood as a pleadig o use he IRR as ivesme appraisal ool. The weakesses of he IRR are sill Chrisia Kalhoefer, 2. valid, bu he rakig differeces are excepioal o a weakess he IRR ca be blamed for. pplyig his approach, i will be show ha here are o differe resuls bewee he wo mehods if hey are applied correcly. I addiio, he commo explaaio of differe reivesme assumpios of he wo mehods will be cofued. Furhermore, he cocepual superioriy of he Ne Prese Value approach will be cofirmed.. The rakig problem i capial budgeig The mos impora ad broadly used approaches i capial budgeig are he Ne Prese Value (NPV) ad he Ieral Rae of Reur (IRR) (Tag ad Tag, 23; Graham ad Harvey, 2; Drury ad Tayles, 997; aco, 977). The NPV is he sum of he discoued cash flows of he projec., NPV i () where NPV = Ne Prese Value, = ime idex, = ed of mauriy, = cash flow a, i = ieres rae. ivesme should be acceped if he NPV is exceedig zero. Therefore, he ieres rae used o discou he cash flows is he hurdle rae for he decisio. The IRR is he ieres rae ha, whe applied o he NPV formula, gives a NPV of zero. I oher words, i is he ieres rae where he sum of he discoued cash flows equals he iiial ivesme (Crea, 25, p. 324; Schuck, 995, p. 4)., NPV r (2) where r = ieral rae of reur. The IRR shows he effecive reur of he ierally ivesed capial. ivesme should be uder- 8

2 Ivesme Maageme ad Fiacial Iovaios, Volume 7, Issue 2, 2 ake if he IRR exceeds he applied ieres rae i, because i his case i will have a posiive e prese value (Shapiro, 25, p. 22). Therefore, for he appraisal of a sigle ivesme, boh measures are equivale: if he NPV of a cash flow is posiive, he IRR will also exceed he ieres rae i. I should be meioed ha he previous saeme should o be misudersood as a recommedaio o use he IRR for ivesme decisios, as he problems of he IRR are well kow, especially i some special cases he meioed equaliy bewee IRR ad NPV migh o be rue; ad he IRR ca oly be used if a reasoable rae of reur ca be calculaed. Due o he aure of he IRR as a roo of a polyomial, i case of some special cash flow paers his may o be possible (row 26, p. 95). lhough hese problems are well kow, i seems as if decisio makers sill prefer he IRR over he NPV, maybe because i is easier or more commo o udersad ad commuicae. While he echical problems (see, e.g., row (26) for a summary) as well as differeces bewee NPV ad IRR whe judgig a sigle projec occur oly i special cases, he IRR is probably sill a acceped ivesme appraisal measure. The usage of he IRR is sigificaly more error-proe if he ivesor has o decide bewee muually exclusive ivesme projecs. Therefore, i he followig he focus will o be o he echical problems wih IRR, bu o he well kow rakig problem. I his case, differe rakig resuls are possible while usig he wo approaches. Therefore, he recommedaio of which projec o choose is o clear. Reasos ad cosequeces have bee broadly discussed, ad several proposals have bee made o overcome hese icosisecies. The soluios ofe creae more complicaed measures ha should be used i addiio or aleraively o he IRR (e.g., Crea, 25; arey ad Daielso, 24; Lefly, 23) or aemp o give a differe ierpreaio of he measures (Tag ad Tag, 23). This paper will show ha all of his is o ecessary if boh measures are applied correcly. Oe of he mai argumes used o explai he differe resuls is called reivesme assumpio. I saes he geerally correc fidig ha differeces bewee iermediae cash flows have o be recogized. The specific argume is ha his is doe hrough a assumpio abou heir reivesme rae ad a broad discussio abou his opic sared i he 95ies (e.g., Solomo, 956; ierma ad Smid, 957) ad is sill ogoig. For he discussed ivesme appraisal echiques he commo udersadig is ha he NPV assumes a reivesme of iermediae cash flows a he cos of 82 capial while i case of he IRR he cash flow reivesme rae equals he IRR (Shapiro 25, p. 26; Va Hore ad Wachowicz, 25, p. 329; Pogue, 24, p. 4; Lefley, 23, p. 8). lhough he reivesme argume is commo o explai differe resuls bewee IRR ad NPV, i is based o a wrog ierpreaio. To begi wih a mahemaical aalysis of he formulas preseed above, i ca be see ha o reivesme assumpio is ecessary o calculae NPV ad IRR (Dudley, 972, p. 97). Therefore, he reaso for he differe resuls is somehig else, amely a icoseque applicaio of he wo mehods: if he ivesme projecs have differe cash flow paers, boh of hem are o direcly comparable, a leas o by a udiffereiaed applicaio of he ivesme appraisals, because his may lead o a misierpreaio of he resuls. Isead, o make a proper decisio bewee muually exclusive projecs, a ivesor has o cosider wha will happe o he cash flow differeces i bewee. Differeces may exis i he iiial ivesme, imig ad amou of he followig cash flows, ad he mauriy of he projecs (Va Hore ad Wachowicz, 25, p. 326). If, for example, wo muually exclusive ivesme projecs have o be compared, he firs oe wih a iiial ivesme of $, ad he secod wih a iiial ivesme of $ 9,, he ivesor mus cosider wha happes o he $, differece. This is of course rue for all cash flow differeces over he ime. I is possible ha he ivesme projec origially beig rejeced becomes he superior oe if hese cash flow differeces are recogized i a appropriae way. The compariso of differe cash flow paers (P) by heir differeces is kow as icremeal approach (Hajdasiski, 24; Hajdasiski, 997; Fisher, 93), bu he implicaios of his approach have o bee sressed eough i he earlier lieraure. The usabiliy of his approach will be show i he followig secios. I will be clarified ha o addiioal assumpios or measures are ecessary if ivesors fully udersad he saemes of NPV ad IRR. I will also be poied ou, ha, if applied ad ierpreed properly, boh measures do o deliver differe rakig iformaio. 2. Explici hadlig of cash flow differeces he special case ssumig wo ivesme projecs, ad, he differeces bewee he cash flow paers ca be mahemaically described by, or, respecively. I Germa lieraure, he resulig cash flow paer is usually amed differece ivesme, abbreviaed. Therefore, he cash flow paer of he ca be calculaed as follows:

3 (3). The ivesor mus ake io cosideraio wha is goig o happe o his differece ivesme. To explai he rakig problem wih muually exclusive projecs, assume wo ivesme projecs ad, boh wih a P showig oe iiial cash ouflow, followed by several cash iflows. This assumpio assures ha o mahemaical problems occur while calculaig he IRR. s usual, all cash Ivesme Maageme ad Fiacial Iovaios, Volume 7, Issue 2, 2 flows are accumulaed a yeared. Furhermore, he iiial cash ouflow of is assumed o be smaller ha ha of ; ad he calculaio of NPV ad IRR will resul i a higher NPV for, while he IRR of is higher. Recommedaio is o choose if he ivesor refers o NPV, or o choose if he ivesor refers o he IRR. Therefore, he decisio which ivesme o choose is o clear. The followig able shows a umerical example ha fis o his descripio. The NPV has bee calculaed a i = %. Table. Exemplary daa for muually exclusive ivesme projecs Ivesme 2 3 NPV % IRR % % s ivesme is reporig he lower NPV, icludig he io he cosideraios migh resul i plus he givig a higher NPV ha. Wih referece o he above descripio, he ca be calculaed as. Wih he assumpio abou he iiial ivesmes Table 2. Derivaio of he differece ivesme ( beig less expesive ha ), heir differece ( ) will be egaive. This simply sresses he ierpreaio of a differece ivesme as a cash flow paer sarig wih a cash ouflow; however, his is o a ecessary codiio for he followig argumes. Ivesme = The cash flow represes eiher a ivesme (if egaive) or a credi ake (if posiive). Therefore, he cash flows will have fiacial effecs i laer years, where eiher a ivesme will give some reur or a credi has o be paid back. I is assumed Table 3. Cash flow icludig ha boh aleraives are cosruced as zero coupo bods wih a cerai ieres rae z. The fiacial effecs of he are icluded i he calculaio by compoudig he releva cash flows wih he ieres rae z o he las year. The resuls are show i Table 3. / Ivesme cash flow z z Icludig he leads o ideical cash flows of ad ( + ) for all <. I he las year, he cash flow of ( + ) equals he cash flow of plus he sum of he compouded cash flows of. oe should be made cocerig he algebraic sig of he compouded cash flows i =. I mus be saed as mius, because if he origial cash flow has bee egaive (represeig a ivesme), he laer oe mus be posiive (represeig he posiive reur of he ivesme). I case of a origially posiive cash flow (represeig a credi ake by he ivesor), he las year s cash flow mus be egaive o idicae he payback of he credi. impora resul of he previous cosideraios is ha as all cash flows for < are ideical boh ivesme aleraives ca be compared simply by 83

4 Ivesme Maageme ad Fiacial Iovaios, Volume 7, Issue 2, 2 comparig he las year s cash flows. The projec wih he higher cash flow will be seleced. This resul highlighs he imporace of he, because he cash flow i = is depede o he ieres rae z used o compoud he cash flows. To ge a idea abou his rae of reur, i will be ieresig o ivesigae he rae where boh ivesmes are equal. pparely, his will be he case if he fuure value (FV), expressed as sum of he compouded cash flows, equals zero, because i his case + + =. To fulfill his requireme, z mus be he IRR of he cash flow. This special ieres rae is called Fisher s rae of iersecio f (Va Hore ad Wachowicz, 25, p. 328). The followig formula shows his effec mahemaically: f. FV (4) I he example, f is 3.2%. The kowledge of f has a impora cosequece: as soo as z is exceedig f, he combiaio of ad will resul i a higher las year s cash flow; herefore, he combiaio of ad will be superior o. The exemplary calculaio i Table 4 uses z = 5%. s 5% exceeds 3.2%, he combiaio of ad is beer ha, a fac ha ca easily be recogized by a compariso of he wo cash flow paers. They are ideical excep for he hird year, where he cash flow of ( + ) is higher ha he oe of. Table 4. Exemplary calculaio of ad wih z = 5% Ivesme 2 3 NPV % IRR % % + 5% % I should be meioed ha, up o his poi, oe of he ypical ivesme appraisal echiques is ecessary o ge his resul. I is ohig bu a simple compariso of cash flows. pparely, if he ivesor evaluaes he wo described cash flows ad ( + ), will have he lower NPV ad he lower IRR. These raios are show i Table 4, for example, where boh measures are higher for he combiaio of ad. There is o discrepacy bewee NPV ad IRR. Wih respec o his clear fidig, differe appraisal resuls offered by NPV ad IRR are eve more asoishig. The reaso will be explaied i he las chaper. 3. Explaaio of rakig differeces he commo applicaio of ivesme appraisals The previous aalysis has show ha ay ivesor explicily kowig or assumig a ivesme rae z ad properly applyig i o he as described above will o face he problem of differe resuls wih NPV ad IRR. The ivesme rae z ca also direcly be used o fid he beer aleraive: if z is exceedig f, he ivesor should choose he projec wih he lower NPV ogeher wih he, as he combiaio of boh will have a higher NPV (ad IRR!) ha he aleraive projec. u o assume a appropriae z migh be difficul or impossible for a ivesor ad i is o he purpose of his paper o eer he discussio abou he deermiaio of a appropriae rae (see, e.g., Meyer, 979). Therefore, he ex sep will be o aalyze he siuaio wihou a explici assumpio. This aalysis is especially impora as i cosiders he ypical applicaio of NPV ad IRR, i.e. ivesors usually do assume a explici z whe workig wih NPV ad IRR. Geerally speakig, as log as he ivesor does assume a explici rae of reur for he, he simple applicaio of NPV ad IRR calculaio will resul i a implici assumpio, while he problem is ha hese assumpios differ bewee he wo mehods. I oher words: he mahemaical ierpreaio of NPV ad IRR is rue oly if z is applied i a specific way. I should be meioed agai ha he ivesme rae z is o he commoly discussed reivesme rae for iermediae cash flows, bu oly ecessary for he differece ivesme wihi he rakig decisio. To udersad he mahemaical cosequeces of he implici assumpios, i has o be prove uder which circumsaces NPV ad IRR deliver he correc mahemaical resul whe icludig he. Sarig wih he NPV, wihou a explici assumpio of z he resul of he calculaio of he NPV is correc oly if z = i. pplyig his o he previously explaied formula, he FV of he ca be wrie like i. FV (5) The effec of his assumpio ca be recogized by calculaig he NPV agai. s he cash flow of plus equals he cash flow of a ay ime excep for =, he NPV of ( + ) equals he NPV of plus he discoued FV of he. NPV i. NPV FV (6) The NPV of he is calculaed by discouig he Fuure Value as show i equaio (5). 84

5 NPV Ivesme Maageme ad Fiacial Iovaios, Volume 7, Issue 2, 2 i i i i i NPV NPV. Fially, we ge NPV NPV NPV NPV NPV. (7) Wihou ay explici assumpios whe calculaig he NPV o compare differe cash flow paers, implicily a rae of reur of i is assumed for he differece ivesme (agai: o for a reivesme of he cash flows hemselves!), because oherwise he Table 5. Resuls of he implici assumpio of he NPV calculaed resul would o be correc. s a resul, i ca be see ha a rakig decisio based o he NPV will be correc, because a ivesme rae of i for he does chage he calculaed NPV. The followig Table shows he resuls for he previous example. gai, boh ivesme appraisals will resul i he same rakig if applied correcly, i.e. o he complee cash flow. Ivesme 2 3 NPV % IRR % % + % % The assumpio of z = i maches he commo prerequisie of a perfec capial marke. Therefore, a ivesor o willig or o able o assume a reasoable ivesme rae z is doig fie wih he applicaio of he NPV as a appraisal echique. I ca be see ha he correc applicaio will lead o a lower IRR for he aleraive wih he lower NPV, so here are o C r r r differe sigals bewee he wo mehods. For he IRR, he explaaio is quie similar. The mahemaical iformaio of he IRR, applied o he oal cash flow (projec ad ) is correc oly if he ivesme rae z equals he IRR of he projec. The followig equaio describes his effec for he combiaio of ad. r r r r. The equaio shows ha he resul of he discouig ca be zero oly if he IRR of is used as z. Therefore, i is obvious ha he ivesme wih he higher IRR has o be preferred, as he same higher IRR will be applied for he. u as before, applyig he NPV o he complee cash flow Table 6. Resuls of he implici assumpios of IRR will give he same rakig as he IRR, so he correc applicaio of boh NPV ad IRR will lead o he same resuls. Correc meas usig he complee cash flow, i.e. icludig he. The applicaio of hese fidigs o he example daa ca be see i Table 6. Ivesme 2 3 NPV % IRR % % + 7.5% % lhough he NPV/IRR discrepacy migh be solved by he correc ierpreaio of he umbers, he applicaio of he IRR mehod sill ows is broadly discussed problems. Wihi he rakig problem, he mos crucial fac is, as several differe cash flows usually lead o several differe IRRs, cosequely several differe ivesme raes z are applied o judge ivesme projecs. This is o raioal, because as a resul he reur of he would be direcly depede o he origial cash flow. Furhermore, he reur of fuure ivesme opporuiies will usually o be relaed wih oday s ivesme projecs IRR. I addiio, he applicaio of a ieres rae oher ha i for he differece ivesme does follow he assumpios of a perfec capial marke. Therefore, if he ivesor is o able or willig o selec a appropriae rae of reur for he differece ivesme, i is sill recommeded o use he NPV for ivesme decisios. 85

6 Ivesme Maageme ad Fiacial Iovaios, Volume 7, Issue 2, 2 To summarize he aalysis for he exemplary daa, boh releva cash flows for ivesme are meioed i Table 7. I ca agai be recogized ha he origial mahemaical resuls of NPV ad IRR (see 86 Table 7. Compariso bewee NPV ad IRR cash flows Table ) are derived from differe assumpios regardig he cash flows, which is he reaso for he differe rakig recommedaio whe compared o ivesme. Ivesme 2 3 NPV % IRR + % % + 7.5% % From he previous aalysis he reaso for differe resuls bewee IRR ad NPV i he rakig problem is easy o address. Wihou a explici assumpio he mahemaical resuls of boh appraisals are correc oly if specific ieres raes are assumed for he : i for he NPV ad r for he IRR. These differe ieres raes lead o differe cash flows, so a he ed boh echiques will o assess ideical cash flows. pparely, uder hese codiios he resuls ca be differe. The problem ca obviously be avoided if boh appraisals are applied o ideical cash flows as described i his paper. Coclusio The broadly discussed rakig problem is a resul of a isufficie applicaio of he ivesme appraisal echiques. For mahemaical reasos, he resuls of he calculaios are correc oly if cerai assumpios are made cocerig he ivesme rae Refereces for he differece ivesme. s hese assumpios are o ideical, boh mehods will fially assess differe cash flows. Therefore, he resuls ca be differe. To avoid his problem, boh ivesme appraisal echiques should be applied o ideical cash flows. I his case, differe rakigs are o loger exise. These fidigs of course do o preve he ivesor o make a decisio cocerig he differece ivesme. s log as he is o able or willig o choose a appropriae explici rae of reur for he differece ivesme, he will sill have o choose bewee e prese value ad ieral rae of reur. lhough he rakig problem ca be avoided whe applyig he mehods correcly, as he assumpio cocerig z whe applyig IRR is quesioable ad he oher well-kow problems of he IRR sill exis, he usage of he NPV is recommeded if o explici choice for he reur of he differece ivesme ca be made.. aco, P.W. (977). The Evaluaio of Muually Exclusive Ivesmes. Fiacial Maageme, 6, No. 2: arey, L.D. Jr. ad Daielso, M.G. (24). Rakig Muually Exclusive Projecs: The Role of Duraio. The Egieerig Ecoomis 49: ierma, H. ad Smid S. (957). Capial udgeig ad he Problem of Reivesig Cash Proceeds, The Joural of usiess, 3, No. 4: row, R.J. (26). Sis of he IRR, Joural of Real Esae Porfolio Maageme 2: Copelad, T.E., Weso, J.F., ad Shasri, K. (25). Fiacial Theory ad Corporae Policy, Fourh Ieraioal Ediio, oso e al. 6. Crea, M.J. (25). Revealig he True Meaig of he IRR via Profilig he IRR ad Defiig he ERR, Joural of Real Esae Porfolio Maageme, : Drury, C. ad Tayles, M. (997). The misapplicaio of capial ivesme appraisal echiques, Maageme Decisio, 35/2: Dudley, C.L. Jr. (972). Noe o Reivesme ssumpios i Choosig bewee Ne Prese Value ad Ieral Rae of Reur, The Joural of Fiace, 27, No. 4: Fisher, I. (93). The Theory of Ieres, Macmilla.. Graham, J.R. ad Harvey, C.R. (2). The heory ad pracice of corporae fiace: Evidece from he field, Joural of Fiacial Ecoomics, 6: Hajdasiski, M.M. (997). Techical Noe Commes o Usig Heurisics o Evaluae Projecs: The Case of Rakig Projecs by IRR, The Egieerig Ecoomis, 42: Hajdasiski, M.M. (24). Techical Noe The Ieral Rae of Reur (IRR) as a Fiacial Idicaor, The Egieerig Ecoomis, 49: Lefley, F. (23). The hird way, Fiacial Maageme, Ocober 23: Meyer, R.L. (979). Noe o Capial udgeig Techiques ad he Reivesme Rae, The Joural of Fiace, 34, No. 5: Pogue, M. (24). Ivesme appraisal: a ew approach. Maagerial udiig Joural, 9: Schuck, E. (995). Reivesme rae risk aalysis: a comme. Joural of Propery Evaluaio ad Ivesme, 3: Shapiro,.C. (25). Capial udgeig ad Ivesme alysis, Upper Saddle River. 8. Solomo, E. (956). The rihmeic of Capial budgeig Decisios, Joural of usiess XXIX, No. 2: Tag, S.L. ad Tag H.J. (23). Techical Noe: The Variable Fiacial Idicaor IRR ad he Cosa Ecoomic Idicaor NPV. The Egieerig Ecoomis 48: Va Hore, J.C. ad Wachowicz, J.M. jr. (25). Fudameals of Fiacial Maageme, welfh ediio, Harlow e al.

CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING

CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING CHAPTER 22 ASSET BASED FINANCING: LEASE, HIRE PURCHASE AND PROJECT FINANCING Q.1 Defie a lease. How does i differ from a hire purchase ad isalme sale? Wha are he cash flow cosequeces of a lease? Illusrae.

More information

Capital Budgeting: a Tax Shields Mirage?

Capital Budgeting: a Tax Shields Mirage? Theoreical ad Applied Ecoomics Volume XVIII (211), No. 3(556), pp. 31-4 Capial Budgeig: a Tax Shields Mirage? Vicor DRAGOTĂ Buchares Academy of Ecoomic Sudies [email protected] Lucia ŢÂŢU Buchares

More information

UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Katarína Sakálová

UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Katarína Sakálová The process of uderwriig UNDERWRITING AND EXTRA RISKS IN LIFE INSURANCE Kaaría Sakálová Uderwriig is he process by which a life isurace compay decides which people o accep for isurace ad o wha erms Life

More information

The Term Structure of Interest Rates

The Term Structure of Interest Rates The Term Srucure of Ieres Raes Wha is i? The relaioship amog ieres raes over differe imehorizos, as viewed from oday, = 0. A cocep closely relaed o his: The Yield Curve Plos he effecive aual yield agais

More information

APPLICATIONS OF GEOMETRIC

APPLICATIONS OF GEOMETRIC APPLICATIONS OF GEOMETRIC SEQUENCES AND SERIES TO FINANCIAL MATHS The mos powerful force i he world is compoud ieres (Alber Eisei) Page of 52 Fiacial Mahs Coes Loas ad ivesmes - erms ad examples... 3 Derivaio

More information

1/22/2007 EECS 723 intro 2/3

1/22/2007 EECS 723 intro 2/3 1/22/2007 EES 723 iro 2/3 eraily, all elecrical egieers kow of liear sysems heory. Bu, i is helpful o firs review hese coceps o make sure ha we all udersad wha his heory is, why i works, ad how i is useful.

More information

FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND

FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND FORECASTING MODEL FOR AUTOMOBILE SALES IN THAILAND by Wachareepor Chaimogkol Naioal Isiue of Developme Admiisraio, Bagkok, Thailad Email: [email protected] ad Chuaip Tasahi Kig Mogku's Isiue of Techology

More information

Bullwhip Effect Measure When Supply Chain Demand is Forecasting

Bullwhip Effect Measure When Supply Chain Demand is Forecasting J. Basic. Appl. Sci. Res., (4)47-43, 01 01, TexRoad Publicaio ISSN 090-4304 Joural of Basic ad Applied Scieific Research www.exroad.com Bullwhip Effec Measure Whe Supply Chai emad is Forecasig Ayub Rahimzadeh

More information

Studies in sport sciences have addressed a wide

Studies in sport sciences have addressed a wide REVIEW ARTICLE TRENDS i Spor Scieces 014; 1(1: 19-5. ISSN 99-9590 The eed o repor effec size esimaes revisied. A overview of some recommeded measures of effec size MACIEJ TOMCZAK 1, EWA TOMCZAK Rece years

More information

Reaction Rates. Example. Chemical Kinetics. Chemical Kinetics Chapter 12. Example Concentration Data. Page 1

Reaction Rates. Example. Chemical Kinetics. Chemical Kinetics Chapter 12. Example Concentration Data. Page 1 Page Chemical Kieics Chaper O decomposiio i a isec O decomposiio caalyzed by MO Chemical Kieics I is o eough o udersad he soichiomery ad hermodyamics of a reacio; we also mus udersad he facors ha gover

More information

4. Levered and Unlevered Cost of Capital. Tax Shield. Capital Structure

4. Levered and Unlevered Cost of Capital. Tax Shield. Capital Structure 4. Levered ad levered Cos Capial. ax hield. Capial rucure. Levered ad levered Cos Capial Levered compay ad CAP he cos equiy is equal o he reur expeced by sockholders. he cos equiy ca be compued usi he

More information

Transforming the Net Present Value for a Comparable One

Transforming the Net Present Value for a Comparable One 'Club of coomics i Miskolc' TMP Vol. 8., Nr. 1., pp. 4-3. 1. Trasformig e Ne Prese Value for a Comparable Oe MÁRIA ILLÉS, P.D. UNIVRSITY PROFSSOR e-mail: [email protected] SUMMARY Tis sudy examies e

More information

Teaching Bond Valuation: A Differential Approach Demonstrating Duration and Convexity

Teaching Bond Valuation: A Differential Approach Demonstrating Duration and Convexity JOURNAL OF EONOMIS AND FINANE EDUATION olume Number 2 Wier 2008 3 Teachig Bod aluaio: A Differeial Approach Demosraig Duraio ad ovexi TeWah Hah, David Lage ABSTRAT A radiioal bod pricig scheme used i iroducor

More information

Chapter 4 Return and Risk

Chapter 4 Return and Risk Chaper 4 Reur ad Risk The objecives of his chaper are o eable you o:! Udersad ad calculae reurs as a measure of ecoomic efficiecy! Udersad he relaioships bewee prese value ad IRR ad YTM! Udersad how obai

More information

3. Cost of equity. Cost of Debt. WACC.

3. Cost of equity. Cost of Debt. WACC. Corporae Fiace [09-0345] 3. Cos o equiy. Cos o Deb. WACC. Cash lows Forecass Cash lows or equiyholders ad debors Cash lows or equiyholders Ecoomic Value Value o capial (equiy ad deb) - radiioal approach

More information

TRANSPORT ECONOMICS, POLICY AND POVERTY THEMATIC GROUP

TRANSPORT ECONOMICS, POLICY AND POVERTY THEMATIC GROUP TRANSPORT NOTES TRANSPORT ECONOMICS, POLICY AND POVERTY THEMATIC GROUP THE WORLD BANK, WASHINGTON, DC Traspor Noe No. TRN-6 Jauary 2005 Noes o he Ecoomic Evaluaio of Traspor Projecs I respose o may requess

More information

An Approach for Measurement of the Fair Value of Insurance Contracts by Sam Gutterman, David Rogers, Larry Rubin, David Scheinerman

An Approach for Measurement of the Fair Value of Insurance Contracts by Sam Gutterman, David Rogers, Larry Rubin, David Scheinerman A Approach for Measureme of he Fair Value of Isurace Coracs by Sam Guerma, David Rogers, Larry Rubi, David Scheierma Absrac The paper explores developmes hrough 2006 i he applicaio of marke-cosise coceps

More information

Why we use compounding and discounting approaches

Why we use compounding and discounting approaches Comoudig, Discouig, ad ubiased Growh Raes Near Deb s school i Souher Colorado. A examle of slow growh. Coyrigh 000-04, Gary R. Evas. May be used for o-rofi isrucioal uroses oly wihou ermissio of he auhor.

More information

FEBRUARY 2015 STOXX CALCULATION GUIDE

FEBRUARY 2015 STOXX CALCULATION GUIDE FEBRUARY 2015 STOXX CALCULATION GUIDE STOXX CALCULATION GUIDE CONTENTS 2/23 6.2. INDICES IN EUR, USD AND OTHER CURRENCIES 10 1. INTRODUCTION TO THE STOXX INDEX GUIDES 3 2. CHANGES TO THE GUIDE BOOK 4 2.1.

More information

Valuing Bonds and Stocks

Valuing Bonds and Stocks Leaig Objecives 5- Valuig Bods ad Socks 5 Copoae Fiacial Maageme e Emey Fiey Sowe 5- Udesad ypical feaues of bods & socks. Lea how o obai ifomaio abou bods ad socks. Ideify he mai facos ha affec he value

More information

Exchange Rates, Risk Premia, and Inflation Indexed Bond Yields. Richard Clarida Columbia University, NBER, and PIMCO. and

Exchange Rates, Risk Premia, and Inflation Indexed Bond Yields. Richard Clarida Columbia University, NBER, and PIMCO. and Exchage Raes, Risk Premia, ad Iflaio Idexed Bod Yields by Richard Clarida Columbia Uiversiy, NBER, ad PIMCO ad Shaowe Luo Columbia Uiversiy Jue 14, 2014 I. Iroducio Drawig o ad exedig Clarida (2012; 2013)

More information

Time value of money Interest formulas Project evaluations Inflation and CPI Financial risk and financing

Time value of money Interest formulas Project evaluations Inflation and CPI Financial risk and financing 2YHUYLHZ )LQDQLDO$QDO\VLV 3ULHU Hioshi Sakamoo Humphey Isiue of ublic Affais Uivesiy of Miesoa Time value of moey Iees fomulas ojec evaluaios Iflaio ad CI iacial isk ad fiacig A5721 Moey - 1 A5721 Moey

More information

The Norwegian Shareholder Tax Reconsidered

The Norwegian Shareholder Tax Reconsidered The Norwegia Shareholder Tax Recosidered Absrac I a aricle i Ieraioal Tax ad Public Fiace, Peer Birch Sørese (5) gives a i-deph accou of he ew Norwegia Shareholder Tax, which allows he shareholders a deducio

More information

A Strategy for Trading the S&P 500 Futures Market

A Strategy for Trading the S&P 500 Futures Market 62 JOURNAL OF ECONOMICS AND FINANCE Volume 25 Number 1 Sprig 2001 A Sraegy for Tradig he S&P 500 Fuures Marke Edward Olszewski * Absrac A sysem for radig he S&P 500 fuures marke is proposed. The sysem

More information

DBIQ USD Investment Grade Corporate Bond Interest Rate Hedged Index

DBIQ USD Investment Grade Corporate Bond Interest Rate Hedged Index db Idex Developme Sepember 2014 DBIQ Idex Guide DBIQ USD Ivesme Grade Corporae Bod Ieres Rae Hedged Idex Summary The DBIQ USD Ivesme Grade Corporae Bod Ieres Rae Hedged Idex (he Idex ) is a rule based

More information

Circularity and the Undervaluation of Privatised Companies

Circularity and the Undervaluation of Privatised Companies CMPO Workig Paper Series No. 1/39 Circulariy ad he Udervaluaio of Privaised Compaies Paul Grou 1 ad a Zalewska 2 1 Leverhulme Cere for Marke ad Public Orgaisaio, Uiversiy of Brisol 2 Limburg Isiue of Fiacial

More information

CHAPTER 3 THE TIME VALUE OF MONEY

CHAPTER 3 THE TIME VALUE OF MONEY CHAPTER 3 THE TIME VALUE OF MONEY OVERVIEW A dollar i the had today is worth more tha a dollar to be received i the future because, if you had it ow, you could ivest that dollar ad ear iterest. Of all

More information

A formulation for measuring the bullwhip effect with spreadsheets Una formulación para medir el efecto bullwhip con hojas de cálculo

A formulation for measuring the bullwhip effect with spreadsheets Una formulación para medir el efecto bullwhip con hojas de cálculo irecció y rgaizació 48 (01) 9-33 9 www.revisadyo.com A formulaio for measurig he bullwhip effec wih spreadshees Ua formulació para medir el efeco bullwhip co hojas de cálculo Javier Parra-Pea 1, Josefa

More information

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE Profi Tes Modelling in Life Assurance Using Spreadshees PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE Erik Alm Peer Millingon 2004 Profi Tes Modelling in Life Assurance Using Spreadshees

More information

ACCOUNTING TURNOVER RATIOS AND CASH CONVERSION CYCLE

ACCOUNTING TURNOVER RATIOS AND CASH CONVERSION CYCLE Problems ad Persecives of Maageme, 24 Absrac ACCOUNTING TURNOVER RATIOS AND CASH CONVERSION CYCLE Pedro Orí-Ágel, Diego Prior Fiacial saemes, ad esecially accouig raios, are usually used o evaluae acual

More information

THE FOREIGN EXCHANGE EXPOSURE OF CHINESE BANKS

THE FOREIGN EXCHANGE EXPOSURE OF CHINESE BANKS Workig Paper 07/2008 Jue 2008 THE FOREIGN ECHANGE EPOSURE OF CHINESE BANKS Prepared by Eric Wog, Jim Wog ad Phyllis Leug 1 Research Deparme Absrac Usig he Capial Marke Approach ad equiy-price daa of 14

More information

Ranking Optimization with Constraints

Ranking Optimization with Constraints Rakig Opimizaio wih Cosrais Fagzhao Wu, Ju Xu, Hag Li, Xi Jiag Tsighua Naioal Laboraory for Iformaio Sciece ad Techology, Deparme of Elecroic Egieerig, Tsighua Uiversiy, Beijig, Chia Noah s Ark Lab, Huawei

More information

Kyoung-jae Kim * and Ingoo Han. Abstract

Kyoung-jae Kim * and Ingoo Han. Abstract Simulaeous opimizaio mehod of feaure rasformaio ad weighig for arificial eural eworks usig geeic algorihm : Applicaio o Korea sock marke Kyoug-jae Kim * ad Igoo Ha Absrac I his paper, we propose a ew hybrid

More information

where: T = number of years of cash flow in investment's life n = the year in which the cash flow X n i = IRR = the internal rate of return

where: T = number of years of cash flow in investment's life n = the year in which the cash flow X n i = IRR = the internal rate of return EVALUATING ALTERNATIVE CAPITAL INVESTMENT PROGRAMS By Ke D. Duft, Extesio Ecoomist I the March 98 issue of this publicatio we reviewed the procedure by which a capital ivestmet project was assessed. The

More information

1. Introduction - 1 -

1. Introduction - 1 - The Housig Bubble ad a New Approach o Accouig for Housig i a CPI W. Erwi iewer (Uiversiy of Briish Columbia), Alice O. Nakamura (Uiversiy of Albera) ad Leoard I. Nakamura (Philadelphia Federal Reserve

More information

Financial Data Mining Using Genetic Algorithms Technique: Application to KOSPI 200

Financial Data Mining Using Genetic Algorithms Technique: Application to KOSPI 200 Fiacial Daa Miig Usig Geeic Algorihms Techique: Applicaio o KOSPI 200 Kyug-shik Shi *, Kyoug-jae Kim * ad Igoo Ha Absrac This sudy ieds o mie reasoable radig rules usig geeic algorihms for Korea Sock Price

More information

Chapter 8: Regression with Lagged Explanatory Variables

Chapter 8: Regression with Lagged Explanatory Variables Chaper 8: Regression wih Lagged Explanaory Variables Time series daa: Y for =1,..,T End goal: Regression model relaing a dependen variable o explanaory variables. Wih ime series new issues arise: 1. One

More information

REVISTA INVESTIGACION OPERACIONAL VOL. 31, No.2, 159-170, 2010

REVISTA INVESTIGACION OPERACIONAL VOL. 31, No.2, 159-170, 2010 REVISTA INVESTIGACION OPERACIONAL VOL. 3, No., 59-70, 00 AN ALGORITHM TO OBTAIN AN OPTIMAL STRATEGY FOR THE MARKOV DECISION PROCESSES, WITH PROBABILITY DISTRIBUTION FOR THE PLANNING HORIZON. Gouliois E.

More information

Research Article Dynamic Pricing of a Web Service in an Advance Selling Environment

Research Article Dynamic Pricing of a Web Service in an Advance Selling Environment Hidawi Publishig Corporaio Mahemaical Problems i Egieerig Volume 215, Aricle ID 783149, 21 pages hp://dx.doi.org/1.1155/215/783149 Research Aricle Dyamic Pricig of a Web Service i a Advace Sellig Evirome

More information

Managing Learning and Turnover in Employee Staffing*

Managing Learning and Turnover in Employee Staffing* Maagig Learig ad Turover i Employee Saffig* Yog-Pi Zhou Uiversiy of Washigo Busiess School Coauhor: Noah Gas, Wharo School, UPe * Suppored by Wharo Fiacial Isiuios Ceer ad he Sloa Foudaio Call Ceer Operaios

More information

COLLECTIVE RISK MODEL IN NON-LIFE INSURANCE

COLLECTIVE RISK MODEL IN NON-LIFE INSURANCE Ecoomic Horizos, May - Augus 203, Volume 5, Number 2, 67-75 Faculy of Ecoomics, Uiversiy of Kragujevac UDC: 33 eissn 227-9232 www. ekfak.kg.ac.rs Review paper UDC: 005.334:368.025.6 ; 347.426.6 doi: 0.5937/ekohor30263D

More information

A Queuing Model of the N-design Multi-skill Call Center with Impatient Customers

A Queuing Model of the N-design Multi-skill Call Center with Impatient Customers Ieraioal Joural of u- ad e- ervice, ciece ad Techology Vol.8, o., pp.- hp://dx.doi.org/./ijuess..8.. A Queuig Model of he -desig Muli-skill Call Ceer wih Impaie Cusomers Chuya Li, ad Deua Yue Yasha Uiversiy,

More information

Modelling Time Series of Counts

Modelling Time Series of Counts Modellig ime Series of Cous Richard A. Davis Colorado Sae Uiversiy William Dusmuir Uiversiy of New Souh Wales Yig Wag Colorado Sae Uiversiy /3/00 Modellig ime Series of Cous wo ypes of Models for Poisso

More information

Department of Economics Working Paper 2011:6

Department of Economics Working Paper 2011:6 Deparme of Ecoomics Workig Paper 211:6 The Norwegia Shareholder Tax Recosidered Ja Söderse ad Tobias idhe Deparme of Ecoomics Workig paper 211:6 Uppsala Uiversiy April 211 P.O. Box 513 ISSN 1653-6975 SE-751

More information

Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613.

Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613. Graduae School of Business Adminisraion Universiy of Virginia UVA-F-38 Duraion and Convexiy he price of a bond is a funcion of he promised paymens and he marke required rae of reurn. Since he promised

More information

Predicting Indian Stock Market Using Artificial Neural Network Model. Abstract

Predicting Indian Stock Market Using Artificial Neural Network Model. Abstract Predicig Idia Sock Marke Usig Arificial Neural Nework Model Absrac The sudy has aemped o predic he moveme of sock marke price (S&P CNX Nify) by usig ANN model. Seve years hisorical daa from 1 s Jauary

More information

Individual Health Insurance April 30, 2008 Pages 167-170

Individual Health Insurance April 30, 2008 Pages 167-170 Individual Healh Insurance April 30, 2008 Pages 167-170 We have received feedback ha his secion of he e is confusing because some of he defined noaion is inconsisen wih comparable life insurance reserve

More information

Mechanical Vibrations Chapter 4

Mechanical Vibrations Chapter 4 Mechaical Vibraios Chaper 4 Peer Aviabile Mechaical Egieerig Deparme Uiversiy of Massachuses Lowell 22.457 Mechaical Vibraios - Chaper 4 1 Dr. Peer Aviabile Modal Aalysis & Corols Laboraory Impulse Exciaio

More information

Present Value Methodology

Present Value Methodology Presen Value Mehodology Econ 422 Invesmen, Capial & Finance Universiy of Washingon Eric Zivo Las updaed: April 11, 2010 Presen Value Concep Wealh in Fisher Model: W = Y 0 + Y 1 /(1+r) The consumer/producer

More information

A simple SSD-efficiency test

A simple SSD-efficiency test A simple SSD-efficiecy es Bogda Grechuk Deparme of Mahemaics, Uiversiy of Leiceser, UK Absrac A liear programmig SSD-efficiecy es capable of ideifyig a domiaig porfolio is proposed. I has T + variables

More information

Modeling the Nigerian Inflation Rates Using Periodogram and Fourier Series Analysis

Modeling the Nigerian Inflation Rates Using Periodogram and Fourier Series Analysis CBN Joural of Applied Saisics Vol. 4 No.2 (December, 2013) 51 Modelig he Nigeria Iflaio Raes Usig Periodogram ad Fourier Series Aalysis 1 Chukwuemeka O. Omekara, Emmauel J. Ekpeyog ad Michael P. Ekeree

More information

Time Value of Money. First some technical stuff. HP10B II users

Time Value of Money. First some technical stuff. HP10B II users Time Value of Moey Basis for the course Power of compoud iterest $3,600 each year ito a 401(k) pla yields $2,390,000 i 40 years First some techical stuff You will use your fiacial calculator i every sigle

More information

ON THE RISK-NEUTRAL VALUATION OF LIFE INSURANCE CONTRACTS WITH NUMERICAL METHODS IN VIEW ABSTRACT KEYWORDS 1. INTRODUCTION

ON THE RISK-NEUTRAL VALUATION OF LIFE INSURANCE CONTRACTS WITH NUMERICAL METHODS IN VIEW ABSTRACT KEYWORDS 1. INTRODUCTION ON THE RISK-NEUTRAL VALUATION OF LIFE INSURANCE CONTRACTS WITH NUMERICAL METHODS IN VIEW BY DANIEL BAUER, DANIELA BERGMANN AND RÜDIGER KIESEL ABSTRACT I rece years, marke-cosise valuaio approaches have

More information

Introduction to Hypothesis Testing

Introduction to Hypothesis Testing Iroducio o Hyohei Teig Iroducio o Hyohei Teig Scieific Mehod. Sae a reearch hyohei or oe a queio.. Gaher daa or evidece (obervaioal or eerimeal) o awer he queio. 3. Summarize daa ad e he hyohei. 4. Draw

More information

One dictionary: Native language - English/English - native language or English - English

One dictionary: Native language - English/English - native language or English - English Faculy of Social Sciences School of Business Corporae Finance Examinaion December 03 English Dae: Monday 09 December, 03 Time: 4 hours/ 9:00-3:00 Toal number of pages including he cover page: 5 Toal number

More information

Soving Recurrence Relations

Soving Recurrence Relations Sovig Recurrece Relatios Part 1. Homogeeous liear 2d degree relatios with costat coefficiets. Cosider the recurrece relatio ( ) T () + at ( 1) + bt ( 2) = 0 This is called a homogeeous liear 2d degree

More information

Hedging with Forwards and Futures

Hedging with Forwards and Futures Hedging wih orwards and uures Hedging in mos cases is sraighforward. You plan o buy 10,000 barrels of oil in six monhs and you wish o eliminae he price risk. If you ake he buy-side of a forward/fuures

More information

Markit Excess Return Credit Indices Guide for price based indices

Markit Excess Return Credit Indices Guide for price based indices Marki Excess Reurn Credi Indices Guide for price based indices Sepember 2011 Marki Excess Reurn Credi Indices Guide for price based indices Conens Inroducion...3 Index Calculaion Mehodology...4 Semi-annual

More information

A panel data approach for fashion sales forecasting

A panel data approach for fashion sales forecasting A pael daa approach for fashio sales forecasig Shuyu Re([email protected]), Tsa-Mig Choi, Na Liu Busiess Divisio, Isiue of Texiles ad Clohig, The Hog Kog Polyechic Uiversiy, Hug Hom, Kowloo, Hog Kog Absrac:

More information

Combining Adaptive Filtering and IF Flows to Detect DDoS Attacks within a Router

Combining Adaptive Filtering and IF Flows to Detect DDoS Attacks within a Router KSII RANSAIONS ON INERNE AN INFORMAION SYSEMS VOL. 4, NO. 3, Jue 2 428 opyrigh c 2 KSII ombiig Adapive Filerig ad IF Flows o eec os Aacks wihi a Rouer Ruoyu Ya,2, Qighua Zheg ad Haifei Li 3 eparme of ompuer

More information

PERFORMANCE COMPARISON OF TIME SERIES DATA USING PREDICTIVE DATA MINING TECHNIQUES

PERFORMANCE COMPARISON OF TIME SERIES DATA USING PREDICTIVE DATA MINING TECHNIQUES , pp.-57-66. Available olie a hp://www.bioifo.i/coes.php?id=32 PERFORMANCE COMPARISON OF TIME SERIES DATA USING PREDICTIVE DATA MINING TECHNIQUES SAIGAL S. 1 * AND MEHROTRA D. 2 1Deparme of Compuer Sciece,

More information

Caring for trees and your service

Caring for trees and your service Caring for rees and your service Line clearing helps preven ouages FPL is commied o delivering safe, reliable elecric service o our cusomers. Trees, especially palm rees, can inerfere wih power lines and

More information

Determinants of Public and Private Investment An Empirical Study of Pakistan

Determinants of Public and Private Investment An Empirical Study of Pakistan eraioal Joural of Busiess ad Social Sciece Vol. 3 No. 4 [Special ssue - February 2012] Deermias of Public ad Privae vesme A Empirical Sudy of Pakisa Rabia Saghir 1 Azra Kha 2 Absrac This paper aalyses

More information

DBIQ Regulated Utilities Index

DBIQ Regulated Utilities Index db Ide Develome March 2013 DBIQ Ide Guide DBIQ Regulaed Uiliies Ide Summary The DBIQ Regulaed Uiliies Ide ( Uiliies Ide is a rules-based ide aimig o rack he reurs ou of he regulaed uiliies secor i develoed

More information

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,

More information

THE FIRM'S INVESTMENT DECISION UNDER CERTAINTY: CAPITAL BUDGETING AND RANKING OF NEW INVESTMENT PROJECTS

THE FIRM'S INVESTMENT DECISION UNDER CERTAINTY: CAPITAL BUDGETING AND RANKING OF NEW INVESTMENT PROJECTS VII. THE FIRM'S INVESTMENT DECISION UNDER CERTAINTY: CAPITAL BUDGETING AND RANKING OF NEW INVESTMENT PROJECTS The mos imporan decisions for a firm's managemen are is invesmen decisions. While i is surely

More information

Distributed Containment Control with Multiple Dynamic Leaders for Double-Integrator Dynamics Using Only Position Measurements

Distributed Containment Control with Multiple Dynamic Leaders for Double-Integrator Dynamics Using Only Position Measurements IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 57, NO. 6, JUNE 22 553 Disribued Coaime Corol wih Muliple Dyamic Leaders for Double-Iegraor Dyamics Usig Oly Posiio Measuremes Jiazhe Li, Wei Re, Member, IEEE,

More information

Economics Honors Exam 2008 Solutions Question 5

Economics Honors Exam 2008 Solutions Question 5 Economics Honors Exam 2008 Soluions Quesion 5 (a) (2 poins) Oupu can be decomposed as Y = C + I + G. And we can solve for i by subsiuing in equaions given in he quesion, Y = C + I + G = c 0 + c Y D + I

More information

Derivative Securities: Lecture 7 Further applications of Black-Scholes and Arbitrage Pricing Theory. Sources: J. Hull Avellaneda and Laurence

Derivative Securities: Lecture 7 Further applications of Black-Scholes and Arbitrage Pricing Theory. Sources: J. Hull Avellaneda and Laurence Deivaive ecuiies: Lecue 7 uhe applicaios o Black-choles ad Abiage Picig heoy ouces: J. Hull Avellaeda ad Lauece Black s omula omeimes is easie o hik i ems o owad pices. Recallig ha i Black-choles imilaly

More information

Asymptotic Growth of Functions

Asymptotic Growth of Functions CMPS Itroductio to Aalysis of Algorithms Fall 3 Asymptotic Growth of Fuctios We itroduce several types of asymptotic otatio which are used to compare the performace ad efficiecy of algorithms As we ll

More information

Incremental calculation of weighted mean and variance

Incremental calculation of weighted mean and variance Icremetal calculatio of weighted mea ad variace Toy Fich [email protected] [email protected] Uiversity of Cambridge Computig Service February 009 Abstract I these otes I eplai how to derive formulae for umerically

More information

Testing the Weak Form of Efficient Market Hypothesis: Empirical Evidence from Jordan

Testing the Weak Form of Efficient Market Hypothesis: Empirical Evidence from Jordan Ieraioal Busiess ad Maageme Vol. 9, No., 4, pp. 9- DOI:.968/554 ISSN 9-84X [Pri] ISSN 9-848 [Olie] www.cscaada.e www.cscaada.org Tesig he Wea Form of Efficie Mare Hypohesis: Empirical Evidece from Jorda

More information

A Heavy Traffic Approach to Modeling Large Life Insurance Portfolios

A Heavy Traffic Approach to Modeling Large Life Insurance Portfolios A Heavy Traffic Approach o Modelig Large Life Isurace Porfolios Jose Blache ad Hery Lam Absrac We explore a ew framework o approximae life isurace risk processes i he sceario of pleiful policyholders,

More information

Chapter 6: Business Valuation (Income Approach)

Chapter 6: Business Valuation (Income Approach) Chaper 6: Business Valuaion (Income Approach) Cash flow deerminaion is one of he mos criical elemens o a business valuaion. Everyhing may be secondary. If cash flow is high, hen he value is high; if he

More information

12. Spur Gear Design and selection. Standard proportions. Forces on spur gear teeth. Forces on spur gear teeth. Specifications for standard gear teeth

12. Spur Gear Design and selection. Standard proportions. Forces on spur gear teeth. Forces on spur gear teeth. Specifications for standard gear teeth . Spur Gear Desig ad selecio Objecives Apply priciples leared i Chaper 11 o acual desig ad selecio of spur gear sysems. Calculae forces o eeh of spur gears, icludig impac forces associaed wih velociy ad

More information

Outline. Numerical Analysis Boundary Value Problems & PDE. Exam. Boundary Value Problems. Boundary Value Problems. Solution to BVProblems

Outline. Numerical Analysis Boundary Value Problems & PDE. Exam. Boundary Value Problems. Boundary Value Problems. Solution to BVProblems Oulie Numericl Alysis oudry Vlue Prolems & PDE Lecure 5 Jeff Prker oudry Vlue Prolems Sooig Meod Fiie Differece Meod ollocio Fiie Eleme Fll, Pril Differeil Equios Recp of ove Exm You will o e le o rig

More information

Output Analysis (2, Chapters 10 &11 Law)

Output Analysis (2, Chapters 10 &11 Law) B. Maddah ENMG 6 Simulatio 05/0/07 Output Aalysis (, Chapters 10 &11 Law) Comparig alterative system cofiguratio Sice the output of a simulatio is radom, the comparig differet systems via simulatio should

More information

Hanna Putkuri. Housing loan rate margins in Finland

Hanna Putkuri. Housing loan rate margins in Finland Haa Pukuri Housig loa rae margis i Filad Bak of Filad Research Discussio Papers 0 200 Suome Pakki Bak of Filad PO Box 60 FI-000 HESINKI Filad +358 0 83 hp://www.bof.fi E-mail: [email protected] Bak of Filad

More information

Table of contents Chapter 1 Interest rates and factors Chapter 2 Level annuities Chapter 3 Varying annuities

Table of contents Chapter 1 Interest rates and factors Chapter 2 Level annuities Chapter 3 Varying annuities Table of conens Chaper 1 Ineres raes and facors 1 1.1 Ineres 2 1.2 Simple ineres 4 1.3 Compound ineres 6 1.4 Accumulaed value 10 1.5 Presen value 11 1.6 Rae of discoun 13 1.7 Consan force of ineres 17

More information

Chapter 1.6 Financial Management

Chapter 1.6 Financial Management Chaper 1.6 Financial Managemen Par I: Objecive ype quesions and answers 1. Simple pay back period is equal o: a) Raio of Firs cos/ne yearly savings b) Raio of Annual gross cash flow/capial cos n c) = (1

More information

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth

.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth Questio 1: What is a ordiary auity? Let s look at a ordiary auity that is certai ad simple. By this, we mea a auity over a fixed term whose paymet period matches the iterest coversio period. Additioally,

More information

Learning objectives. Duc K. Nguyen - Corporate Finance 21/10/2014

Learning objectives. Duc K. Nguyen - Corporate Finance 21/10/2014 1 Lecture 3 Time Value of Moey ad Project Valuatio The timelie Three rules of time travels NPV of a stream of cash flows Perpetuities, auities ad other special cases Learig objectives 2 Uderstad the time-value

More information

http://www.ejournalofscience.org Monitoring of Network Traffic based on Queuing Theory

http://www.ejournalofscience.org Monitoring of Network Traffic based on Queuing Theory VOL., NO., November ISSN XXXX-XXXX ARN Joural of Sciece a Techology - ARN Jourals. All righs reserve. hp://www.ejouralofsciece.org Moiorig of Newor Traffic base o Queuig Theory S. Saha Ray,. Sahoo Naioal

More information

Building Blocks Problem Related to Harmonic Series

Building Blocks Problem Related to Harmonic Series TMME, vol3, o, p.76 Buildig Blocks Problem Related to Harmoic Series Yutaka Nishiyama Osaka Uiversity of Ecoomics, Japa Abstract: I this discussio I give a eplaatio of the divergece ad covergece of ifiite

More information

Sequences and Series

Sequences and Series CHAPTER 9 Sequeces ad Series 9.. Covergece: Defiitio ad Examples Sequeces The purpose of this chapter is to itroduce a particular way of geeratig algorithms for fidig the values of fuctios defied by their

More information

I. Why is there a time value to money (TVM)?

I. Why is there a time value to money (TVM)? Itroductio to the Time Value of Moey Lecture Outlie I. Why is there the cocept of time value? II. Sigle cash flows over multiple periods III. Groups of cash flows IV. Warigs o doig time value calculatios

More information

Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m

Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m Chaper 2 Problems 2.1 During a hard sneeze, your eyes migh shu for 0.5s. If you are driving a car a 90km/h during such a sneeze, how far does he car move during ha ime s = 90km 1000m h 1km 1h 3600s = 25m

More information

THE REGRESSION MODEL IN MATRIX FORM. For simple linear regression, meaning one predictor, the model is. for i = 1, 2, 3,, n

THE REGRESSION MODEL IN MATRIX FORM. For simple linear regression, meaning one predictor, the model is. for i = 1, 2, 3,, n We will cosider the liear regressio model i matrix form. For simple liear regressio, meaig oe predictor, the model is i = + x i + ε i for i =,,,, This model icludes the assumptio that the ε i s are a sample

More information

A GLOSSARY OF MAIN TERMS

A GLOSSARY OF MAIN TERMS he aedix o his glossary gives he mai aggregae umber formulae used for cosumer rice (CI) uroses ad also exlais he ierrelaioshis bewee hem. Acquisiios aroach Addiiviy Aggregae Aggregaio Axiomaic, or es aroach

More information

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary Random Walk in -D Random walks appear in many cones: diffusion is a random walk process undersanding buffering, waiing imes, queuing more generally he heory of sochasic processes gambling choosing he bes

More information

Morningstar Investor Return

Morningstar Investor Return Morningsar Invesor Reurn Morningsar Mehodology Paper Augus 31, 2010 2010 Morningsar, Inc. All righs reserved. The informaion in his documen is he propery of Morningsar, Inc. Reproducion or ranscripion

More information

Forecasting Sales: A Model and Some Evidence from the Retail Industry. Russell Lundholm Sarah McVay Taylor Randall

Forecasting Sales: A Model and Some Evidence from the Retail Industry. Russell Lundholm Sarah McVay Taylor Randall Forecasing Sales: A odel and Some Evidence from he eail Indusry ussell Lundholm Sarah cvay aylor andall Why forecas financial saemens? Seems obvious, bu wo common criicisms: Who cares, can we can look

More information

The analysis of the Cournot oligopoly model considering the subjective motive in the strategy selection

The analysis of the Cournot oligopoly model considering the subjective motive in the strategy selection The aalysis of the Courot oligopoly model cosiderig the subjective motive i the strategy selectio Shigehito Furuyama Teruhisa Nakai Departmet of Systems Maagemet Egieerig Faculty of Egieerig Kasai Uiversity

More information

Theorems About Power Series

Theorems About Power Series Physics 6A Witer 20 Theorems About Power Series Cosider a power series, f(x) = a x, () where the a are real coefficiets ad x is a real variable. There exists a real o-egative umber R, called the radius

More information

Performance Center Overview. Performance Center Overview 1

Performance Center Overview. Performance Center Overview 1 Performance Cener Overview Performance Cener Overview 1 ODJFS Performance Cener ce Cener New Performance Cener Model Performance Cener Projec Meeings Performance Cener Execuive Meeings Performance Cener

More information

Option Put-Call Parity Relations When the Underlying Security Pays Dividends

Option Put-Call Parity Relations When the Underlying Security Pays Dividends Inernaional Journal of Business and conomics, 26, Vol. 5, No. 3, 225-23 Opion Pu-all Pariy Relaions When he Underlying Securiy Pays Dividends Weiyu Guo Deparmen of Finance, Universiy of Nebraska Omaha,

More information