An Incentive Effect of Multiple Sourcing *

Size: px
Start display at page:

Download "An Incentive Effect of Multiple Sourcing *"

Transcription

1 cetive Effect of Multiple Sourcig * Staley aima Serguei Netessie 1 The Wharto School Uiversity of Pesylvaia Philadelphia, P July 004 bstract: We cosider a supply chai with oe maufacturer who assembles a ed-product cosistig of two compoets ( ad, where each compoet is purchased from multiple outside suppliers. The maufacturer s decisio as to the cotract to offer each supplier is complicated by two factors: (1 each potetial supplier is self-iterested ad privately-iformed as to his margial cost of productio; ad ( ay parts delivered i excess of parts (or vice versa caot be ivetoried but must be disposed of at o value. Thus, the maufacturer must choose the cotract to offer each so as to coordiate or balace their productio, while takig ito cosideratio their selfiterested behavior. We demostrate that icreasig the umber of suppliers mitigates (but does ot etirely elimiate the productio distortios arisig from these two factors. Hece, we show that icreasig the supplier base ca have efficiecy ehacig effects that have ot bee previously described i the literature. *We gratefully ackowledge the helpful commets of Madhav Raja, Stefa Reichelstei, Gerard Cacho, Mau Goyal, Marcelo Olivares ad uqiag Zhag. We also thak Paul ischer ad the participats of the ccoutig Workshop at Columbia Uiversity, especially Tim aldeius ad Nahum Melumad, for very helpful commets o a earlier draft of this paper. 1 Correspodig author, etessi@wharto.upe.edu

2 cetive Effect of Multiple Sourcig page 1. troductio Two major treds i maufacturig withi the last two decades have bee: the icreased use of outsourcig of parts ad subassemblies ad the reductio i the umber of first-tier suppliers to whom these parts ad subassemblies are outsourced (see, for example, (McMilla, The efficiecy effect of the umber of first-tier suppliers is usually aalyzed i terms of maufacturig (disecoomies of scale, risk of supply disruptio ad coordiatio costs. While these three effects have bee studied before, we demostrate that there is aother, icetiverelated, efficiecy effect associated with the umber of suppliers which has ot bee studied i the literature. 3 This icetive-related efficiecy effect arises whe the suppliers are privatelyiformed ad self-iterested ad there is a eed to balace their productio (as is the case i assembly systems. 4 To demostrate this icetive efficiecy effect, we model a simple assembly process with a maufacturer (referred to as the buyer ad she whose ed-product is made up of two compoets (parts ad. The buyer outsources the productio of both parts to suppliers (each referred to as him ad merely assembles the ed-product from the parts delivered. Each supplier s cost to maufacture his parts is ucertai at the time of cotractig. efore each supplier produces his parts, he lears his cost realizatio ad commuicates it to the buyer. The latter the iforms each supplier of the desired productio schedule. The icetive efficiecy effect associated with the umber of suppliers arises from the followig two assumptios. irst, the suppliers are privately-iformed about their cost realizatios ad are self-iterested; each acts so as to maximize his ow expected profit. s a result, the privately-iformed suppliers will ot ecessarily truthfully commuicate their cost observatios to the buyer (this is referred to as the adverse selectio or supplier-icetive problem. Secod, each of the buyer s ed-products requires oe part ad oe part ad, because of spoilage, fashio cocers, or other costraits, the buyer caot ivetory ay uused parts for use at some later date. Thus the Coordiatio costs typically iclude the cost of commuicatig with ad keepig track of the activities of suppliers. 3 or the effects of supply chai disruptios see, for example, (Reitma, 1997, (Latour, 001 ad (Hedricks ad Sighal, 003. or a discussio of coordiatio costs see, for example, (McMilla, See (aima ad Raja, 00 for a survey of the research literature which addresses the icetive implicatios of other sourcig decisios.

3 cetive Effect of Multiple Sourcig page 3 buyer has to balace or coordiate the suppliers productio schedules because ay parts delivered i excess of parts (or vice versa are valueless ad must be discarded (this is referred to as the productio-balacig problem. The presece of these two assumptios iduces the buyer to distort the optimal productio schedules offered to the suppliers (relative to the optimal productio schedules i the absece of a supplier-icetive problem. This productio distortio reduces the buyer s efficiecy ad expected profit. We show that icreasig the umber of suppliers reduces the relative size of each supplier s productio distortio, thereby icreasig efficiecy. 5 The reaso for our result is that icreasig the umber of suppliers reduces the effect that ay oe supplier ca have by misrepresetig his private iformatio, thereby reducig the productio distortio required to elicit the truth ad improvig coordiatio. This result relies o both of our earlier stated assumptios. With o supplier-icetive problem there is o eed to distort productio i order to truthfully elicit each supplier s cost realizatio. With o productio-balacig problem, the optimal cotracts treat each supplier as idepedet; hece there is o relative productio distortio reductio effect associated with the umber of suppliers. The paper is orgaized as follows. Sectio reviews the relevat literature. sectio 3 we discuss i more detail the basic assumptios uderlyig the model. We also solve for the optimal supplier cotracts ad supplier productio schedules assumig the productio-balacig problem but assumig away the supplier-icetive problem. That is, we assume that the suppliers hoestly report their iformatio ad implemet whatever productio schedules the buyer gives them. This is referred to as the irst-est solutio ad provides a bechmark for our subsequet aalysis. We eed this bechmark because, eve without a supplier-icetive problem, varyig the umber of suppliers affects the optimal productio. sectio 4 we derive the optimal supplier cotracts ad productio schedules whe there is the supplier-icetive problem (this is referred to as the Secod-est case. We the compare the optimal solutios derived i sectios 3 ad 4 to isolate the icetive-efficiecy effect of the umber of suppliers. Sectio 5 provides a coclusio. 5 creasig the umber of suppliers ca also lead to improved cotractig via relative performace evaluatio whe the agets are subject to correlated shocks (see (Holmstrom, 198. This effect does ot arise i our model because our suppliers are subject to ucorrelated shocks.

4 cetive Effect of Multiple Sourcig page 4. Literature Review The preset paper lies at the itersectio of the procuremet/assembly literature i supply chai maagemet ad the cotractig/icetives literature i ecoomics/accoutig. the assembly literature, as i our paper, the maufacturer (assembler costructs the ed-product from parts provided by suppliers. Oe subset of this literature looks at the buyer s problem of coordiatig the suppliers productio schedules i a cetralized settig (i.e., there are o icetive problems i motivatig the suppliers see, for example, (Sog et al., 000 ad citatios therei. More closely related to our work is the subset of the literature that looks at the buyer s problem of coordiatig the suppliers withi a decetralized settig the buyer ad suppliers make their respective decisios i their ow best iterests based o their cotracts. much of this literature, ulike i the preset paper, there is o uderlyig icetive problem ay coflict betwee the iterests of suppliers ad the buyer is caused solely by the assumed cotracts betwee them (e.g., (Wag ad Gerchak, 003 ad (erstei ad DeCroix, 003. That is, it is the use of o-optimal cotracts which create the supplier-icetive problem. Closest to our work is (Gurai ad Gerchak, 003 which does aalyze a settig i which there is a uderlyig icetive problem ivolvig the suppliers. that paper each supplier s actios are subject to moral hazard ad the paper aalyzes the efficiecy effects of two differet (ooptimal cotracts betwee the buyer ad suppliers. cotrast, we study a decetralized decisio situatio i which each supplier is privately iformed about his cost of productio (i.e., a adverse selectio problem ad aalyze the efficiecy effects associated with the optimal (screeig cotract. Much of the procuremet literature (see the survey by (Elmaghraby, 000 aalyzes the allocatio, to oe or more privately-iformed suppliers, of the right to provide a sigle good or service to the buyer. Whe, istead, the right is to supply multiple uits, it is typically assumed that they are idetical ad that there are o exteralities amog uits or the suppliers. 6 Our paper is differet from this literature i a umber of ways. irst, while much of this literature restricts 6 See, for example, (Stole, 1994, (Rob, 1986, (Laffot, 1993, (Riorda ad Sappigto, 1989, (Seshadri, 1991 ad (Klotz, 1995.

5 cetive Effect of Multiple Sourcig page 5 itself to a auctio approach, we take a more geeral optimal cotractig approach. 7 Secod, i our model, the goods beig supplied are ot idetical ad are ot used idepedetly. particular the buyer must cofrot productio-balacig issues amog her suppliers. The efficiecy effect of varyig the umber of suppliers i the preset paper is therefore differet from that i the procuremet literature. 8 s oted above, our work also fits withi the ecoomics/accoutig literature dealig with icetives ad orgaizatioal desig i that a assembly system ca be iterpreted as a orgaizatio i which a pricipal combies iputs from subordiate departmets. (Demski ad Sappigto, 1984 ad (Ma et al., 1988 study the implicit coordiatio amog the agets that may arise as a result of their cotracts. Uder our equilibrium cocept implicit collusio does ot arise. (Harris et al., 198 studies the iteral resource allocatio process i which the pricipal assembles a ed-product made up of parts produced by the privately iformed divisios. However, it assumes that each divisio is a sole source for the part it supplies, while our focus is o the value of multi-sourcig. 9 (Ziv, 1993, (Ziv, 000 ad (alakrisha et al., 1998 study the effect of a firm s moitorig techology o its orgaizatioal desig. (alakrisha et al., 1998 focuses o differet ways of orgaizig a fixed umber of workers (team vs. idividual productio. Our paper ad (Ziv, 1993 ad (Ziv, 000 study the effect of varyig the umber of workers. There are two major differeces i the assumptios which uderlie the works of Ziv ad the preset paper. irst, differet assumptios are made with respect to productio exteralities amog the workers/suppliers. Secod, the models aalyzed by Ziv do ot icorporate adverse selectio o the part of the workers/suppliers, while the model i the preset paper does. While the above icetives literature assumes complete cotractig, aother subset allows for icomplete cotractig. 10 With icomplete cotracts, the umber of suppliers with whom a buyer chooses to deal, as well as the way i which the buyer orgaizes them, ca affect 7 (Tuca ad Zeios, 004 study the relative efficiecy of procuremet auctios versus log-term relatioal cotractig. 8 (Cacho ad Zhag, 003 studies the effect of creatig exteralities amog the suppliers through competitio. 9 lso, see (aima et al., 004 for a assembly model with multiple parts but sigle-sourcig of each part. 10 cotract is icomplete if it does ot specify the desired behavior by the cotractig parties for each joitly observable future evet. Whe a uspecified future cotigecy does occur, the parties must reegotiate the cotract.

6 cetive Effect of Multiple Sourcig page 6 the rage of self-eforcig behaviors of both the buyer ad the suppliers. or example, see (akos ad ryjolfsso, 1993 ad (Levi, The cotracts aalyzed i the preset paper are complete ad, therefore, these issues regardig the umber of suppliers do ot arise. ially, there is the literature which studies the strategic effects of outsourcig, (see, e.g., (Shy ad Stebacka, 003 ad (Cacho ad Harker, 00. No such strategic effects exist i our model because the buyer sells her uits to a competitive market. 3. ssumptios, otatio ad first-best aalysis a. ssumptios ad otatio Our model cosists of a oe-period world with oe risk-eutral buyer ad risk-eutral suppliers. The buyer maufactures a ed-product made from oe part ad oe part. Part is supplied by a set of suppliers (referred to as part suppliers ad part is supplied by a o-overlappig set of suppliers (referred to as part suppliers. 11 The buyer cotracts with the suppliers ad assembles the ed-products from the parts delivered by them. The suppliers productio fuctios have a radom compoet (that might be due to ucertaity i equipmet quality/yield, radom disruptios i the productio process, reliability of the trasportatio, currecy fluctuatios etc. that is modeled as follows. The cost to supplier i (the ith supplier of part of supplyig x parts is ( ( i C + c x i, where C( is the fixed cost which the ij supplier must icur i order to produce ay uits of ad c ij is supplier i s jth cost realizatio. 1 The same holds true for the part suppliers. We further assume that: C( is the same kow costat for both the ad suppliers; the suppliers cost realizatios are draw from idetical but idepedet probability distributios; there are oly two cost realizatios, c1 ad c, where c1 < c < occur with probabilities 0< p < 1 ad 1- p, respectively; ad the 11 The assumptio that the umber of ad suppliers is the same ca be easily relaxed. 1 We allow the cost icurred by each supplier to be a fuctio of the umber of other suppliers of that part. Oe reaso for this is that a equivalet iterpretatio of C( is that it represets the additioal commuicatio/coordiatio cost which the buyer icurs for each supplier.

7 cetive Effect of Multiple Sourcig page 7 iformatio about the cost distributio is commo kowledge. 13 c 1 is referred to as the low-cost realizatio ad c is referred to as the high-cost realizatio. t the start of the period, o oe has yet observed the cost realizatios, but everyoe shares commo beliefs about those cost realizatios. The game proceeds as follows: Step 1. The buyer offers a cotract to each supplier which stipulates how may parts each will be asked to produce ad how much each will be paid for doig so, depedig upo the iformatio subsequetly commuicated to the buyer by all suppliers. 14 Step. Each supplier privately observes his ow cost realizatio ad commuicates iformatio about it to the buyer. Each supplier chooses his message so as to maximize his expected profit give the cotract offered i Step 1. The suppliers messages are joitly observable ad, hece, cotractible. Step 3. fter receivig the suppliers messages, the buyer commuicates to each supplier the umber of parts to be delivered ad the paymet for doig so, cosistet with the cotract terms egotiated i Step 1. Step 4. t this poit, each supplier has the right to abrogate the cotract egotiated i Step 1 ad leave the supply chai uless the umber of parts ordered ad the promised paymet at least satisfy his best outside opportuity, assumed to be zero profit. f ay supplier does abrogate his cotract, the maufacturer caot reegotiate the cotract terms for the remaiig suppliers. 15 f the supplier hoors the cotract he first ivests C( ad the produces the required umber of uits. Step 5. Give that the cotract satisfies each supplier s outside opportuity, each supplier delivers the umber of parts specified by the buyer. Step 6. The buyer receives the parts ad assembles oe fiished ed-product from oe part ad oe part ad sells each fiished ed-product for $R per uit. f more tha 13 We assume that the suppliers are ex ate idetical ad that there are oly two potetial cost realizatios i order to more clearly focus o the icetive-efficiecy effects of the umber of suppliers. The qualitative results would still hold eve if the ad suppliers were ot ex ate idetical ad if there were more tha two potetial cost realizatios. 14 This is referred to as a screeig cotract i ecoomics literature. the above settig, this cotract is optimal for the maufacturer (see (Kreps, brogatio of the cotract by a supplier is a off-equilibrium evet ad, thus, will ever occur. However, we eed this assumptio (or equivaletly that the maufacturer caot desig the cotract to icorporate a two stage process i case a supplier abrogates i order to have a o-trivial productio-balacig problem.

8 cetive Effect of Multiple Sourcig page 8 parts are delivered (or vice versa, the excess parts caot be used ad are costlessly disposed. 16 b. irst-est alysis s stated above, we are iterested i studyig the icetive-efficiecy effect of the umber of suppliers. To do so, we must hold costat the other efficiecy effects that the umber of suppliers might have. or example, varyig the umber of suppliers also affects optimal productio eve without the supplier-icetive problem because of its effect o the margial cost of productio. Therefore i order to separate the icetive from the o-icetive efficiecy effects of varyig the umber of suppliers, i this sub-sectio we derive the solutio to the problem described i the previous sectio, but with the supplier-icetive problem assumed away. This is referred to as the irst-est solutio ad is comparable to the solutio derived i the cetralized assembly literature. 17 That is, we first study the case i which each supplier hoestly commuicates his cost realizatio to the buyer ad produces whatever the buyer asks, as log as doig so leaves him o worse off tha his outside opportuity wage of zero expected profit. We restrict our aalysis to symmetric solutios. ssume that the cost realizatio is ( k, j, i.e., there are k low-cost part suppliers, -k high-cost part suppliers, j low-cost part suppliers, ad -j high-cost part suppliers. Let: x = the umber of uits a part supplier with a cost realizatio of give the ( k, j cost realizatio. T = the compesatio to a part supplier for producig x. c is directed to provide The order sizes ad compesatios for suppliers with c 1 cost realizatios ad for suppliers are defied aalogously. 16 The aalysis would be qualitatively the same as log as there is some cost to havig a excess of part or. 17 See, for example, (Sog et al., 000.

9 cetive Effect of Multiple Sourcig page 9 The total umber of parts produced ad delivered to the buyer is thus ( k x kx 1 +, the total umber of parts produced ad delivered to the buyer is ( j x jx 1 +, ad the total umber of ed-uits which the buyer ca produce is (( k x 1 ( kx j x jx1 mi + ; +. The mi(..;... fuctio captures the fact that ay parts i excess of parts (or vice versa have o value (i.e., the productio-balacig problem. This effect arises i may maufacturig/supply chai settigs (e.g., JT productio i which it is costly to have a excess or shortage of ay oe part. t is the usual objective fuctio i the assembly literature (e.g., (Wag ad Gerchak, 003. Give that uder irst-est the buyer observes the cost realizatios before decidig o productio, she will choose ( x, x1, x, x 1 such that ( ( k x + kx = j x + jx =, so as to avoid payig for ay uused 1 1 productio. urther, give that each supplier s outside opportuity is assumed to be zero, each is reimbursed oly for his out-of-pocket productio cost T C( c ( x = +, = ( + (, etc. The buyer solves for the optimal (, 1,, 1 T C c x realizatio i two steps: 1. or each (, x x x x for each ( k, j k j realizatio, choose the cost miimizig vector (, 1,, 1 satisfies ( ( k x + kx = j x + jx =, for some is used to idicate irst-est or each ( k, j realizatio, choose the expected profit maximizig x x x x that, where the superscript. Lemma 1: The optimal productio orders for each ( k, j realizatio are: Lemma 1 is straight-forward ad offered without proof. Other proofs are icluded i the ppedix.

10 cetive Effect of Multiple Sourcig page 10 x 1 x x 1 x ( 1+ ( 1 1+ ( 1 cc 1 c1+ ( j/ + k/ ( c c1 R( c1+ ( c c1 j/ ( + ( + ( R( c1+ ( c c1 j/ ( + ( + ( R( c1+ ( c c1 k/ ( + ( + ( R( c1+ ( c c1 k/ + ( + ( / ( / ( R c c c k c c c j = = c c j/ k/ c c = c c j/ k/ c c 1 1 = c c j/ k/ c c = c c j/ k/ c ( c 1 1 (1 The effect of the productio-balacig problem is maifested i (1 by the fact that the required productio by each supplier is a fuctio of the umber of low-cost ad suppliers, k ad j. 19 The same is true for each supplier. Deote the buyer s profit for the cost realizatio ( k, j by ( 1 c1+ ( k + j( c c1 ( c1+ k ( c c1 ( c1+ j ( c c1 π calculated as follows: π = R cc C fter substitutig i the optimal, we obtai R ( c1+ k( c c1 ( c1+ j( c c 1 R π = C ( = C (. 4cc 1 ( c1+ ( j+ k( c c1 or each ( k, j realizatio, total expected profit is liear i total productio so that, except for the fixed cost charge, the effect of o total expected profit ad o total expected productio is j,, 1! ( 1! k k P k j = p p p p represet the j! j! k! k! proportioal. 0 j Let ( ( ( ( probability of the (k,j cost realizatio give that there are suppliers for each part. The buyer s total expected profit is the: (. 19 the absece of the productio-balacig problem, each idividual supplier s productio would be idepedet of the umber of the other suppliers ad their cost realizatios. See the later discussio. 0 This effect is due to liearity of the reveue fuctio.

11 cetive Effect of Multiple Sourcig page 11 R P( k, j, C(. ( j= 0 k= 0 4. cetive problem a. Secod est aalysis We ext aalyze the Secod-est case, i which the buyer faces self-iterested suppliers ad must iduce them to reveal their privately-observed cost realizatios ad follow the productio schedule give to them. oth the irst-est ad Secod-est formulatios icorporate the productio-balacig problem. Thus, the oly differece betwee the irst-est solutio derived i sectio 3 ad the Secod-est solutio derived i this sectio is the existece of the supplier-icetive problem. Hece, ay differece betwee the solutios, ad ay differece i the effect of the umber of suppliers o those solutios, is due totally to the supplier-icetive problem. Give the Revelatio Priciple (see (Kreps, 1990, we ca, without loss of geerality, restrict the space of cotracts to those which iduce each supplier to hoestly reveal his cost realizatio to the buyer ad implemet the specified productio schedule. 1 The Secod-est problem ca the be stated as: 1 The usual formulatio of the Truth-Tellig costrait uses the ayesia Nash equilibrium cocept which states that each supplier s expected profit, give his cost realizatio ad expectig over the other suppliers messages, must be at least as great from tellig the truth as from lyig. problem with the ayesia Nash equilibrium i a situatio with multiple suppliers is that it ca result i cotracts for which, i additio to the truth-tellig equilibrium, there may exist a o-truth-tellig equilibrium which all of the suppliers prefer but which makes the buyer strictly worse off (see (Demski ad Sappigto, that case, the suppliers ca implicitly collude to implemet their preferred o-truth-tellig equilibrium, rather tha the buyer s preferred truth-tellig equilibrium. To avoid that situatio, we use the Domiat Strategy equilibrium cocept which is usually more restrictive. t states that each supplier s expected profit, give his cost realizatio, must be at least as great from tellig the truth as from lyig, regardless of the other suppliers messages. With the Domiat Strategy equilibrium, there is o possibility of implicit collusio, because each supplier prefers truth-tellig regardless of what the other suppliers decide to do (see (Kreps, ortuately, give our model, the use of the more restrictive Domiat Strategy equilibrium is costless because the optimal solutio usig the ayesia Nash equilibrium ca be equivaletly implemeted i domiat strategies. or sufficiet coditios for this to be true, see (Mookherjee, 199.

12 cetive Effect of Multiple Sourcig page 1 { (( ( } R mi k x + kx1 ; j x + jx 1 max P( k, j, C(. { x, x1, x, x1} j= 0 k= 0 kt1 ( k T jt1 ( j T subject to, for each feasible ( k, j cost realizatio: ( ( ( ( ( ( ( ( T c x C 0 T c x C 0 T c x C 0 T c x C 0 (LL ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( ( T c x C T c x C ( k 1 j 1 ( k 1 j T c x C T c x C ( k 1 j ( k 1 j 1 1 T c x C T c x C k ( j 1 1 k ( j 1 T c x C T c x C k( j 1 k( j (TT where ow: x = the umber of uits a part supplier with a reported cost realizatio of to provide give that there were a total of k part suppliers who reported c 1 c is directed realizatios, -k part suppliers who reported c realizatios, j part suppliers who reported c 1 realizatios, ad -j part suppliers who reported c realizatios. T = the compesatio to a part supplier for reportig c ad producig x. The order sizes ad compesatios for the part suppliers with c 1 cost realizatios ad for suppliers are defied aalogously. The Limited Liability costraits (LL idicate that uless the productio ad compesatio plas offered to each supplier assure at least zero profit for each cost realizatio, he will leave the supply chai. The Truth-Tellig costraits (TT restrict (without loss of geerality our attetio to truth-tellig equilibria. or example, cosider the viewpoit of a supplier with a low-cost realizatio. ssume that that the other -1 part suppliers ad the

13 cetive Effect of Multiple Sourcig page 13 part suppliers report that there are k-1 low-cost part suppliers, -k high-cost part suppliers, j low-cost part suppliers ad -j high-cost part suppliers. The the TT costrait esures that low-cost part supplier should prefer truthfully revealig that he is low-cost ad havig the buyer believe that she is facig the (k,j cost realizatio rather tha lyig ad havig the buyer believe that she is facig the (k-1,j cost realizatio. Notice that a part supplier s reportig decisio affects both what he reports his cost realizatio to be ad the total umber of reported part low-cost realizatios. urther, the messages reported by the other suppliers affect each supplier s productio ad compesatio pla, but ot that particular supplier s cost of fulfillig the pla. That is, the other suppliers cost realizatios oly have a idirect effect o each supplier s utility (i.e., through the offered pla. The followig Lemma uses the dividual Ratioality ad Truth-Tellig costraits to provide a iitial characterizatio of the optimal solutio to the Secod-est problem formulatio: Lemma : The optimal solutio to the Secod-est problem has the followig characteristics: ( ( ( ( T c x C > 0 k, j where k 0 T c x C > 0 k, j where j k 1 j k 1 j ( ( k j 1 1 ( ( ( k j ( T c x C = 0 j, k where k 0 T c x C = 0 k, j where j 0 ( (, ad 0 ad x x j k x x k, ad j 0 1 ( k 1 j 1 k( j 1 ( ( ( ( ( ( ( ( ( k 1 j 1 ( k 1 j T = C + c x + c x c x j, k where k 0. T = C + c x + c x c x k, j where j k ( j 1 1 k ( j 1 Our subsequet aalysis igores the costrait embodied i Result 3 of Lemma. However, the resultig optimal solutio satisfies it as a strict iequality, so igorig the costrait is without loss of geerality.

14 cetive Effect of Multiple Sourcig page 14 The characterizatio i Lemma is typical of adverse selectio problems such as ours, i which the agets (i.e., suppliers have superior iformatio to that possessed by the pricipal (i.e., buyer. The low-cost suppliers productio is at least as great as the high-cost suppliers (Result 3, the high-cost suppliers just ear their outside reservatio wage (Result, ad the low-cost suppliers ear more tha their outside reservatio wage (Result 1. This extra amout eared by the low-cost supplier is referred to as a iformatioal ret. 3 This ret is the cost to the buyer associated with the supplier-icetive problem. order to properly coordiate productio, the buyer must elicit the true cost realizatios from the ad suppliers. ut to do so, the buyer must share some of her profit with the low-cost suppliers (i.e., bribe the supplier with the iformatioal ret. rom Result 4 of Lemma, the buyer ca reduce the low-cost supplier s ( iformatioal ret by decreasig the high-cost supplier s productio x ( k 1 but this will j distort the high-cost suppliers productio away from irst-est ad result i ubalaced ad parts productio. Of course, the resultig productio mismatch ca be mitigated by adjustig the low-cost supplier s productio ad/or both suppliers productio. ut ievitably, the presece of the supplier-icetive problem forces the buyer to trade-off iformatioal rets ad productio efficiecy. Propositio 1, below, further characterizes the Secod-est Problem. Propositio 1: t optimality, ( ( Secod-est problem ca be restated as max max { 1, 1} { } x x j= 0 k= 0 jx 1 jc1 x1 j c where pc ( c/ ( 1 p 1 (,, C( k x + kx = j x + jx = j k ad the 1 1, kx 1 R kc1( x1 ( k c + ( k ( ( ( + ( j P k j ( = ad the superscript refers to the optimal Secod-est (or cetive solutio. (3 ( j 3 or the low-cost supplier the iformatioal ret is ( c c1 x( k 1, see Result 4.

15 cetive Effect of Multiple Sourcig page 15 Propositio 1 demostrates that the Secod-est problem is exactly the same as the irst- est, except that, i the Secod-est case, c is everywhere replaced by c +. Hece, the same is true for the Secod-est solutio. c + is referred to as the buyer s virtual cost (see (Laffot ad Martimort, 00. The represets the additioal cost which the buyer must bear as a result of the supplier-icetive problems. Thus, the optimal solutio for the Secod-est problem is: 4 ( 1( + ( 1 1( + ( 1 = c1( c pc1 c1( 1 p + ( j/ + k/ ( c c1 R( c1( 1 p + ( c c1 j/ x1 = c1( c1( 1 p + ( j/ + k/ ( c c1 R( 1 p ( c1( 1 p + ( c c1 j/ x = ( c pc1 ( c1( 1 p + ( j/ + k/ ( c c1 R( c1( 1 p + ( c c1 k/ x1 = c1( c1( 1 p + ( j/ + k/ ( c c1 R( 1 p ( c1( 1 p + ( c c1 k/ x = ( c pc c ( 1 p + ( j/ + k/ ( c c ( ( R c 1 p c c k/ c 1 p c c j/ ( (4 The differece betwee the optimal solutio to the irst-est problem (1 ad the Secod-est problem (4 is due solely to the supplier-icetive problem. alogous to the irst- est case, the buyer s profit for the cost realizatio ( k, j is: ( ( c + k + j c + c π = R c c + C. fter substitutig i the optimal 1 1 ( 1( ( c1+ k ( c + c1 ( c1+ j ( c + c1, we obtai ( 1+ ( + 1 ( 1+ ( + 1 4c1( c + ( c1+ ( j+ k( c + c1 R c k c c c j c c R ( ( C ( π = C =. The buyer s total expected profit is: 4 Recall that we iitially igored Result 3 from Lemma i our subsequet aalysis. However, it is straightforward to verify that the optimal solutio i (4 satisfies it as a strict iequality for all k, j.

16 cetive Effect of Multiple Sourcig page 16 R P( k, j, C(. (5 j= 0 k= 0 Thus, for each ( k, j realizatio the icetive efficiecy effect of the supplier-icetive problem is captured by the distortio i total productio - vs.. Therefore, we ext aalyze the productio distortios, begiig with the distortios i the idividual supplier s orders. b. Productio distortios or the high-cost part supplier (the same is true for the part supplier it is straightforward to show that: x / x > 1 ( x x / < 0 ( x x lim / > 1 The supplier-icetive problem causes each high-cost supplier to always produce less tha irst- est, regardless of the cost realizatio. or ay give (k,j cost realizatio, this relative distortio i idividual productio is mitigated by a icrease i the umber of suppliers, but is ever elimiated. Thus, icreasig the umber of suppliers mitigates the distortio caused by the supplier-icetive problem for the high-cost supplier ad, hece, has a positive icetive effect o idividual high-cost supplier productio. (6 or the low-cost (ad suppliers oe ca also show that: whe k > j, x / x > 1, x / x < 1; whe k = j, x / x = x / x = 1; whe k < j, x / x < 1, x / x > 1; ( x1 x1 ( x1 x1 lim / = lim / = 1. (7

17 cetive Effect of Multiple Sourcig page 17 The Secod-est solutio is such that the low-cost part ( supplier will produce efficietly oly whe k = j, whe the proportio of low-cost part ad suppliers is the same. However, give the supplier-icetive problem, the low-cost ( supplier will produce more (less tha the efficiet amout whe k < j ad less (more tha the efficiet amout whe k > j. s with the high-cost supplier, the relative productio distortio for the low-cost supplier varies i. However there are two differeces betwee the high ad low-cost suppliers. irst, for ay fixed (k,j realizatio, this distortio disappears as gets large for the low-cost supplier but ot for the high-cost supplier. Secod, the effect o the low-cost relative productio distortio depeds o the specific parameters, while it is uambiguous for the high-cost supplier. To put (6 ad (7 i cotext, recall that that our two mai assumptios are: a suppliericetive or adverse selectio problem (i.e., privately-iformed ad self-iterested suppliers ad a productio-balacig problem (i.e., the buyer pays for but obtais o value from ay parts delivered i excess of parts (or vice versa. With o supplier-icetive problem, irst-est ca always be achieved ad there is o distortio i productio. With a supplier-icetive problem but o productio-balacig problem, which is the stadard adverse selectio case examied i the literature, the low-cost supplier always produces the irst-est quatity, while the high-cost supplier always produces less tha irst-est, ad the idividual supplier productio distortios are ivariat to the umber of suppliers. 5 Hece, i this case the umber of suppliers has o icetive-related effect o idividual relative productio distortio. With both the supplier-icetive problem ad the productio-balacig problem, both low-cost ad high-cost suppliers produce iefficietly ad each idividual supplier s relative productio distortio varies i the umber of suppliers. Thus, it is the existece of the supplier-icetive problem that gives rise to productio distortios, but it is the presece of the productiobalacig problem, ormally associated with assembly operatios, which results i idividual supplier relative productio distortios that vary i the umber of suppliers. 5 model comparable to ours, but without the productio-balacig problem is: there is a ed-product, ad a ed-product; each ed-product is made up of oe part; each ed-product is made up of oe part; each edproduct is sold for $R/ per uit. this case, irst-est low ad high-cost productios are ( R /4 c1, R/4c ad Secod-est low ad high-cost productio are ( R/4 c1, R/ ( 4c +. Relative productio distortio is thus idepedet of. Like us, (Levi, 003 fids iefficiet productio for all cost realizatios i a model of adverse selectio but with icomplete cotractig ad repeated play.

18 cetive Effect of Multiple Sourcig page 18 The reaso our productio distortio results are differet from the usual is that, as with all supplier-icetive problems, the buyer trades off the cost of iefficiet productio agaist iformatioal ret by distortig the high-cost productio schedule. the absece of the productio-balacig problem, the buyer ca distort the high-cost suppliers productio without icurrig ay productio-balacig cost (e.g., payig for excess parts without beig able to use them i productio ad thus without the eed to distort the low-cost suppliers productio to mitigate that balacig cost. 6 However, with the productio-balacig problem, distortig the high-cost suppliers productio icurs the additioal cost of ubalaced productio. To avoid this, the buyer fids it optimal for most ( k, j cost realizatios to distort the low-cost suppliers productio as well. summary, we have foud that the high-cost supplier always produces less tha irst- est while the low-cost supplier s productio distortio depeds upo the cost realizatio. urther, while icreasig mitigates the high-cost relative productio distortio caused by the supplier-icetive problem; it ca either mitigate or exacerbate, depedig o the problem parameters, the same effect o the low-cost relative productio distortio. Whether the overall effect of icreasig the umber of suppliers is to ehace or reduce the overall relative productio distortio depeds o its aggregate effect o relative to. order to address this issue we must first determie the relative sizes of ad. Propositio below shows that the uderproductio by high-cost suppliers more tha compesates for ay overproductio by low-cost suppliers ad hece, that Secod-est total productio for ay give ( k, j (, realizatio is always less tha irst-est. Propositio 1. / 1 ( k, j (, < ad / = 1 6 This is why, i the absece of the productio-balacig problem, the cost of elicitig the truth from ay supplier is idepedet of the umber of other suppliers.

19 cetive Effect of Multiple Sourcig page 19. ( lim / < 1 k, j Thus, the supplier-icetive problem results i total productio for each ( k, j (, realizatio which is less tha irst-est. particular, the productio distortio for ay fixed ( k, j cost realizatio does ot disappear as the umber of suppliers gets large. Propositio 3 below establishes how this total productio distortio is affected by the umber of suppliers. Propositio ( k, j. ( k, j. rom Propositio we kow that the Secod-est total productio for each (k,j cost realizatio is less tha or equal to the irst-est, resultig i a productio distortio ad a loss of efficiecy. Result 1 i Propositio 3 shows that a icrease i the umber of suppliers reduces the relative distortio i total productio for each ( k, j realizatio. t should be oted that icreasig the umber of suppliers results i a direct productio effect, the icrease i total productio for both Secod ad irst-est for each ( k, j realizatio. However, Secod-est total productio icreases relatively faster tha irst-est productio ad, thus, the relative distortio for each ( k, j realizatio caused by the supplier-icetive problem is decreasig i. Therefore, for a buyer facig privately-iformed ad self-iterested suppliers, the choice of has a additioal icetive effect beyod the direct productio effect. or such a buyer choosig is a way of mitigatig the cost of dealig with privately-iformed ad self-iterested suppliers. 7 or this part of the aalysis we allow to take o-iteger values. While clearly ot the case, this assumptio still captures the essece of the problem.

20 cetive Effect of Multiple Sourcig page 0 Note that, from Part of Propositio, for ay fixed ( k, reduces this productio distortio, it does ot elimiate it. j realizatio, while icreasig Result of Propositio 3 represets the distortio somewhat differetly. Result we are cocered with the chage i total productio caused by a chage i relative to the average total productio per supplier, that is, the elasticity of productio for each ( k, j realizatio as a fuctio of the umber of suppliers. gai, the effect of a icrease i is greater o Secod- est total productio tha o irst-est total productio. Propositio 3 thus shows that, i the presece of a supplier-icetive problem, there is a positive icetive efficiecy effect associated with icreasig the umber of suppliers for each ( k, distortio i total productio. j realizatio it reduces the relative The basic ituitio for Propositio 3 ca be explaied as follows. ecause of the productio-balacig problem, each supplier s optimal productio will deped upo the other suppliers cost realizatios. s the umber of suppliers of each part icreases, what ay oe supplier reports about his cost realizatio becomes relatively less importat to the buyer i determiig the optimal productio schedules for the other suppliers. This, i tur, reduces his iformatioal ret ad the relative distortio i total productio required to iduce him to hoestly reveal his cost realizatio (Propositio 3. s oted earlier, without the productiobalacig problem, each supplier s productio is idepedet of the umber of the other suppliers ad their cost realizatios, ad thus, icreasig the umber of suppliers has o effect o the suppliers cotracts or productio. Hece, supply chais which are subject to the productiobalacig problem will exhibit this efficiecy ehacig icetive-related effect associated with the umber of suppliers. c. mplicatios for the optimal umber of suppliers summary, Propositios ad 3 establish that, for each ( k, j cost realizatio, total Secod-est productio is less tha or equal to irst-est but that icreasig the umber of

21 cetive Effect of Multiple Sourcig page 1 suppliers reduces this relative productio distortio. This would seem to suggest that, give the productio-balacig problem, the buyer facig a supplier-icetive problem has a greater demad for suppliers tha does the same buyer ot facig a supplier-icetive problem. That is, these results suggest that the optimal umber of suppliers uder Secod-est should be at least as great as uder irst-est. The difficulty i establishig this aalytically is that varyig has three effects: 1. it chages the optimal irst ad Secod-est total productios for every ( k, j realizatio,. it fills i the distributio by icreasig the set of ( k, j realizatios, 3. it chages the probabilities associated with every ( k, j outcome. Propositio 3 addressed the first effect. We are uable to characterize aalytically the secod ad third effects, ad thus caot aalytically establish this cojecture. Thus, we ext tur to umerical aalysis. To best test this cojecture, cosider the irst ad Secod-est problems aalyzed so far, but with two modificatios. irst, we assume that the buyer has a fixed amout of output that she eeds to produce regardless of the suppliers cost realizatios,. This is a special case of the edogeous productio sceario which we have studied so far. The reaso for this modificatio is that the optimal irst ad Secod-est productios will, i geeral, be differet. Differet productio will imply differet optimal umbers of suppliers. order to isolate the demad for suppliers strictly arisig from the supplier-icetive problem, we keep the productio for irst ad Secod-est the same,. Secod, we assume that C(=, so that there is a fixed cost to productio for each supplier, or alteratively, the buyer icurs a commuicatio/coordiatio cost which is liear i the umber of suppliers. Extesive umerical aalysis produces cosistet results, the optimal umber of suppliers for Secod-est is always greater tha or equal to that for irst- est. igure below illustrates this for the followig parameter values: ( c1.3, c 1, p.5, R 1,.0, 1 = = = = = =. The figure idicates that for the give parameter values the optimal umber of suppliers uder irst-est is 7, while uder Secod-est it is 8. This further demostrates that the umber of suppliers has a icetive-efficiecy effect. Give a productio-balacig problem, the presece of privately-iformed ad self-iterested suppliers make it optimal for the buyer to have

22 cetive Effect of Multiple Sourcig page a larger supplier base tha he would have if the suppliers were ot privately-iformed ad selfiterested. 0.8 irst est Profit Secod est Profit uyer Expected Profit Coclusio this paper we study the effect that multi-sourcig has o a assembler who eeds to coordiate her privately-iformed ad self-iterested suppliers. Much of the literature has bee devoted to studyig the effect that the umber of supplier s has o: (disecoomies of scale of productio, risk of disruptio, ad cost of commuicatio. this paper we poit out that there is a additioal effect that must be cosidered whe the buyer chooses her umber of suppliers. The umber of suppliers affects the relative size of productio distortios caused by the suppliericetive problem. creasig the umber of suppliers mitigates this productio distortio. The reaso is that as the umber of suppliers of each part icreases, what ay oe supplier reports has a relatively smaller effect i determiig the productio schedules. This, i tur, reduces the amout of iformatioal ret which ay supplier ca extract from the buyer ad hece reduces the amout by which the buyer has to distort productio i order to reduce the iformatioal ret.

23 cetive Effect of Multiple Sourcig page 3 Simply stated, our fidig is that by icreasig the umber of suppliers the buyer is decreasig their importace, thereby decreasig their iformatioal rets ad improvig efficiecy. a very differet model, oe with icomplete cotractig ad buyer hold-up behavior, (akos ad ryjolfsso, 1993 foud that decreasig the umber of suppliers icreased their relative bargaiig power, thereby icreasig their icetive to ivest i relatioship-specific capital, thereby improvig efficiecy. Our work, together with (akos ad ryjolfsso, 1993, idicates that the umber of suppliers i a supply chai ca have subtle efficiecy effects ad that the appropriate umber of suppliers depeds o the uderlyig icetive problems. Moreover, our work demostrates the importace of cosiderig fuctioal exteralities amog product parts that ofte exist but are typically igored i much of the procuremet literature. Our lie of iquiry is a first step towards a deeper uderstadig of icetive effects i multi-sourcig arragemets. While we cosidered oly oe (but perhaps the most atural exterality that ca exist amog a buyer ad her suppliers, other types of exteralities ca be studied. our work the assembly system had oly two tiers while i practice there are ofte multi-tiered assembly systems (see, for example, (erstei ad DeCroix, orthcomig. Hece, oe iterestig questio is: what icetive-related effect does the umber of suppliers i each tier have o overall efficiecy? alysis of icetive effects uder relatioal (multi-period ad icomplete cotracts could also prove a fruitful directio.

24 cetive Effect of Multiple Sourcig page 4 ppedix Proof of Lemma : We oly prove these results for the part suppliers sice the proof for the part suppliers is aalogous. Result 1. Note that ( ( ( ( ( T c x C T c x C > T c x C. The ( k 1 j 1 ( k 1 j ( k 1 j ( k 1 j 0 first iequality follows from s (TT Costrait, the secod from c1 < c ad the third from s (LL Costrait. Result. or high-cost suppliers assume otherwise (i.e., the high-cost (LL Costrait is ot bidig ad suppose that we start with a optimal solutio so that all of the costraits are satisfied. Reduce both T1 ad T( 1 by ε. Noe of the costraits will be violated by the k j chage ad the maufacturer icreases his objective fuctio. This is a cotradictio. Result 3. rom the (TT costraits for the part suppliers, ( k j ( k j ( k j ( c x c x T T c x c x. The result the follows from the 1 ( ( 1 1 ( 1 1 fact that c1 < c. Result 4. The (TT costraits for the part suppliers ad Result above imply that ( ( ( ( ( k 1 j 1 ( k 1 j T C + c x + c x c x. The maufacturer is iterested i miimizig 1 follows. T, hece, ( ( ( T ( 1 C c1 x1 c x( k 1 j c1 x( k 1 j = + + ad the result Proof of Propositio 1: We first eed to establish that i the Secod-est problem, ( ( k x + kx = j x + jx = j k. 1 1, Proof: ssume the cotrary so that for some ( k, j realizatio ( k x + kx 1 > ( j x + jx 1. this case, oly ( j x jx 1 + ed-products

25 cetive Effect of Multiple Sourcig page 5 k x + kx j x jx uits of part will be throw will be produced ad ( ( 1 1 away. Usig the results of Lemma, the Secod-est problem ca the be restated as: max (( ( Rmi k x + kx1; j x + jx 1 k( c1( x1 c( x( k 1 j c1( x + ( k 1 j (,, P k j j j k= 0 ( k c( x j( c1( x1 + c( x k ( j 1 c1( x k ( j 1 ( j c( x Rmi (( k x + kx1 ;( j x + jx 1 k( c1( x1 + c( x( k 1 j c1( x ( 1 k j + { x, x1, x, x1} ( k c( x j( c1( x1 + c( x k( j 1 c1( x k( j 1 j= 0 k k ( j c( x P( k, j, R( ( j x + jx 1k j k ( c1( x1 k j c( x( k 1 j c1( x( k 1 j + + P( k, j, C( ( k c( x j( c1( x1 c( x k ( j 1 c1( x k ( j 1 + ( j c( x Notice that x ad x 1 appear i the objective fuctio oly with egative coefficiets. Hece, their optimal values will be zero. O the other had, x ad x 1 appear with both positive ad egative coefficiets. Hece their optimal values will be o-egative. ut this k x + kx > j x + jx cotradicts the assumptio that ( ( 1 1. Give this result, the Secod-est problem ca be restated as: max max {, 1,, 1} { } 1( 1 ( 1( ( 1 ( ( ( ( ( k j ( ( jc x j c c x j c x P k j R kc x k c c x k j k c x x x x x j= 0 k= ( 1 (,, C( (8

26 cetive Effect of Multiple Sourcig page 6 or a give ( k, j cost realizatio, the buyer s Secod-est objective fuctio is: 1( 1 ( 1( ( 1 ( ( ( ( ( k j ( ( R kc x k c c x k j k c x π = jc x j c c x j c x ( 1 Give that the Secod-est objective fuctio sums over j ad k, we ca re-express each term i (8 by movig out the terms ( 1 kc с x( 1 ad j( c с1 x ( 1 to π( 1 ad π ( 1, k j k j π k j k j ad movig i the terms ( 1( 1 k+ c с x ad ( j+ 1( c с1 x from π( k+ 1 j ad π k( j+ 1. doig so we have to adjust for the differeces i probabilities associated with these terms. The probability mass P( k 1, j, ( 1, j, P k + = Hece, we obtai + associated with the term ( k+ 1( c с1 x ca be writte as 8 k p! k k! j j k p p ( 1 p p ( 1 p = Pr( k, j, k+ 11 p k! k! j! j! k+ 11 p ( ( p π = 1 p p jc x j c c x j c x 1 p ( ( ( ( ( ( R kc1 x1 k c c1 x k c x ( ( ( ( ( ( ( ( ( ( ( ( ( ( = R kc x k x c + jc x j x c where p( c c /( 1 p =. The Propositio follows immediately. 1. (9 Proof of Propositio : Result 1: Recall that the Secod-est objective fuctio is the same as the irst-est, except with c +, > 0 replacig c. Hece = at = 0. Therefore, if is everywhere decreasig i, the >. t is straightforward to show that ( j( k ( j k + ( c + (( k j c1+ ( j+ k ( c + ( k j = < 0 k, js.t. j k 8 The term ( j+ 1( c с1 x is treated aalogously.

27 cetive Effect of Multiple Sourcig page 7 Hece ( j, k (, >. Result follows immediately from (1 ad (4. Proof of Propositio 3: oth Results 1 ad ca be established together. ssume that there are suppliers ad suppliers. t is the straightforward to show that: = R( c 1+ k( c c1 ( c 1+ j( c c1. cc 1 ( ( + c1+ ( j+ k( c c1 1+ ( ( + ( + + ( + ( + ( ( ( 1 ( 1 1 R c k c c c j c c = c c c j k c c. We first wat to demostrate that / / = 0. ( (10 s log as / 0, / 0 (10 this is equivalet to / / 0. (11 k( j+ k + = / / jc c1 ( j k (( j c1+ jc ( j c1+ j( c + 1 ( We will study the shape of this expressio as a fuctio of. Oe ca verify that c1 ( j k ( ( k( j+ k + j c + j c + = / / jc1 ( 1 1 ( ( ( c j k 0. = 3 / / ( j c1+ j c + (1 (13 That is, / / is a cocave fuctio with a maximum i.

28 cetive Effect of Multiple Sourcig page 8 ecause we are iterested i showig that (11 is a positive fuctio, we oly eed to check boudary cases =0 ad =. Clearly, at =0 (11 is zero because at =0 irst-est ad Secod-est solutios are equivalet. p( c c1 Next we check =. Recall that = so p 1 { k, j }. 1 p R. = = Hece, = 1 ad 0. c + 1 ( = To summarize, we have show that for ay problem parameters it is the case that 0. alogously, oe ca verify that 0. Hece, if = =, we ca vary ad sequetially ad Results 1 ad follow. =

Overlapping Generations

Overlapping Generations Eco. 53a all 996 C. Sims. troductio Overlappig Geeratios We wat to study how asset markets allow idividuals, motivated by the eed to provide icome for their retiremet years, to fiace capital accumulatio

More information

Statistics for Economics & Business

Statistics for Economics & Business Statistics for Ecoomics & Busiess Cofidece Iterval Estimatio Learig Objectives I this chapter, you lear: To costruct ad iterpret cofidece iterval estimates for the mea ad the proportio How to determie

More information

CAPITAL PROJECT SCREENING AND SELECTION

CAPITAL PROJECT SCREENING AND SELECTION CAPITAL PROJECT SCREEIG AD SELECTIO Before studyig the three measures of ivestmet attractiveess, we will review a simple method that is commoly used to scree capital ivestmets. Oe of the primary cocers

More information

FINM6900 Finance Theory How Is Asymmetric Information Reflected in Asset Prices?

FINM6900 Finance Theory How Is Asymmetric Information Reflected in Asset Prices? FINM6900 Fiace Theory How Is Asymmetric Iformatio Reflected i Asset Prices? February 3, 2012 Referece S. Grossma, O the Efficiecy of Competitive Stock Markets where Traders Have Diverse iformatio, Joural

More information

Monopoly vs. Competition in Light of Extraction Norms. Abstract

Monopoly vs. Competition in Light of Extraction Norms. Abstract Moopoly vs. Competitio i Light of Extractio Norms By Arkadi Koziashvili, Shmuel Nitza ad Yossef Tobol Abstract This ote demostrates that whether the market is competitive or moopolistic eed ot be the result

More information

Models of Asset Pricing

Models of Asset Pricing APPENDIX 1 TO CHAPTER 4 Models of Asset Pricig I this appedix, we first examie why diversificatio, the holdig of may risky assets i a portfolio, reduces the overall risk a ivestor faces. The we will see

More information

Models of Asset Pricing

Models of Asset Pricing APPENDIX 1 TO CHAPTER4 Models of Asset Pricig I this appedix, we first examie why diversificatio, the holdig of may risky assets i a portfolio, reduces the overall risk a ivestor faces. The we will see

More information

5. Best Unbiased Estimators

5. Best Unbiased Estimators Best Ubiased Estimators http://www.math.uah.edu/stat/poit/ubiased.xhtml 1 of 7 7/16/2009 6:13 AM Virtual Laboratories > 7. Poit Estimatio > 1 2 3 4 5 6 5. Best Ubiased Estimators Basic Theory Cosider agai

More information

Models of Asset Pricing

Models of Asset Pricing 4 Appedix 1 to Chapter Models of Asset Pricig I this appedix, we first examie why diversificatio, the holdig of may risky assets i a portfolio, reduces the overall risk a ivestor faces. The we will see

More information

Sampling Distributions and Estimation

Sampling Distributions and Estimation Cotets 40 Samplig Distributios ad Estimatio 40.1 Samplig Distributios 40. Iterval Estimatio for the Variace 13 Learig outcomes You will lear about the distributios which are created whe a populatio is

More information

EVEN NUMBERED EXERCISES IN CHAPTER 4

EVEN NUMBERED EXERCISES IN CHAPTER 4 Joh Riley 7 July EVEN NUMBERED EXERCISES IN CHAPTER 4 SECTION 4 Exercise 4-: Cost Fuctio of a Cobb-Douglas firm What is the cost fuctio of a firm with a Cobb-Douglas productio fuctio? Rather tha miimie

More information

The material in this chapter is motivated by Experiment 9.

The material in this chapter is motivated by Experiment 9. Chapter 5 Optimal Auctios The material i this chapter is motivated by Experimet 9. We wish to aalyze the decisio of a seller who sets a reserve price whe auctioig off a item to a group of bidders. We begi

More information

Appendix 1 to Chapter 5

Appendix 1 to Chapter 5 Appedix 1 to Chapter 5 Models of Asset Pricig I Chapter 4, we saw that the retur o a asset (such as a bod) measures how much we gai from holdig that asset. Whe we make a decisio to buy a asset, we are

More information

. The firm makes different types of furniture. Let x ( x1,..., x n. If the firm produces nothing it rents out the entire space and so has a profit of

. The firm makes different types of furniture. Let x ( x1,..., x n. If the firm produces nothing it rents out the entire space and so has a profit of Joh Riley F Maimizatio with a sigle costrait F3 The Ecoomic approach - - shadow prices Suppose that a firm has a log term retal of uits of factory space The firm ca ret additioal space at a retal rate

More information

43. A 000 par value 5-year bod with 8.0% semiaual coupos was bought to yield 7.5% covertible semiaually. Determie the amout of premium amortized i the 6 th coupo paymet. (A).00 (B).08 (C).5 (D).5 (E).34

More information

of Asset Pricing R e = expected return

of Asset Pricing R e = expected return Appedix 1 to Chapter 5 Models of Asset Pricig EXPECTED RETURN I Chapter 4, we saw that the retur o a asset (such as a bod) measures how much we gai from holdig that asset. Whe we make a decisio to buy

More information

Estimating Proportions with Confidence

Estimating Proportions with Confidence Aoucemets: Discussio today is review for midterm, o credit. You may atted more tha oe discussio sectio. Brig sheets of otes ad calculator to midterm. We will provide Scatro form. Homework: (Due Wed Chapter

More information

CHAPTER 2 PRICING OF BONDS

CHAPTER 2 PRICING OF BONDS CHAPTER 2 PRICING OF BONDS CHAPTER SUARY This chapter will focus o the time value of moey ad how to calculate the price of a bod. Whe pricig a bod it is ecessary to estimate the expected cash flows ad

More information

Chapter 8. Confidence Interval Estimation. Copyright 2015, 2012, 2009 Pearson Education, Inc. Chapter 8, Slide 1

Chapter 8. Confidence Interval Estimation. Copyright 2015, 2012, 2009 Pearson Education, Inc. Chapter 8, Slide 1 Chapter 8 Cofidece Iterval Estimatio Copyright 2015, 2012, 2009 Pearso Educatio, Ic. Chapter 8, Slide 1 Learig Objectives I this chapter, you lear: To costruct ad iterpret cofidece iterval estimates for

More information

of Asset Pricing APPENDIX 1 TO CHAPTER EXPECTED RETURN APPLICATION Expected Return

of Asset Pricing APPENDIX 1 TO CHAPTER EXPECTED RETURN APPLICATION Expected Return APPENDIX 1 TO CHAPTER 5 Models of Asset Pricig I Chapter 4, we saw that the retur o a asset (such as a bod) measures how much we gai from holdig that asset. Whe we make a decisio to buy a asset, we are

More information

Monetary Economics: Problem Set #5 Solutions

Monetary Economics: Problem Set #5 Solutions Moetary Ecoomics oblem Set #5 Moetary Ecoomics: oblem Set #5 Solutios This problem set is marked out of 1 poits. The weight give to each part is idicated below. Please cotact me asap if you have ay questios.

More information

Subject CT1 Financial Mathematics Core Technical Syllabus

Subject CT1 Financial Mathematics Core Technical Syllabus Subject CT1 Fiacial Mathematics Core Techical Syllabus for the 2018 exams 1 Jue 2017 Subject CT1 Fiacial Mathematics Core Techical Aim The aim of the Fiacial Mathematics subject is to provide a groudig

More information

point estimator a random variable (like P or X) whose values are used to estimate a population parameter

point estimator a random variable (like P or X) whose values are used to estimate a population parameter Estimatio We have oted that the pollig problem which attempts to estimate the proportio p of Successes i some populatio ad the measuremet problem which attempts to estimate the mea value µ of some quatity

More information

Notes on Expected Revenue from Auctions

Notes on Expected Revenue from Auctions Notes o Epected Reveue from Auctios Professor Bergstrom These otes spell out some of the mathematical details about first ad secod price sealed bid auctios that were discussed i Thursday s lecture You

More information

A random variable is a variable whose value is a numerical outcome of a random phenomenon.

A random variable is a variable whose value is a numerical outcome of a random phenomenon. The Practice of Statistics, d ed ates, Moore, ad Stares Itroductio We are ofte more iterested i the umber of times a give outcome ca occur tha i the possible outcomes themselves For example, if we toss

More information

Solution to Tutorial 6

Solution to Tutorial 6 Solutio to Tutorial 6 2012/2013 Semester I MA4264 Game Theory Tutor: Xiag Su October 12, 2012 1 Review Static game of icomplete iformatio The ormal-form represetatio of a -player static Bayesia game: {A

More information

A Technical Description of the STARS Efficiency Rating System Calculation

A Technical Description of the STARS Efficiency Rating System Calculation A Techical Descriptio of the STARS Efficiecy Ratig System Calculatio The followig is a techical descriptio of the efficiecy ratig calculatio process used by the Office of Superitedet of Public Istructio

More information

EC426 Class 5, Question 3: Is there a case for eliminating commodity taxation? Bianca Mulaney November 3, 2016

EC426 Class 5, Question 3: Is there a case for eliminating commodity taxation? Bianca Mulaney November 3, 2016 EC426 Class 5, Questio 3: Is there a case for elimiatig commodity taxatio? Biaca Mulaey November 3, 2016 Aswer: YES Why? Atkiso & Stiglitz: differetial commodity taxatio is ot optimal i the presece of

More information

We learned: $100 cash today is preferred over $100 a year from now

We learned: $100 cash today is preferred over $100 a year from now Recap from Last Week Time Value of Moey We leared: $ cash today is preferred over $ a year from ow there is time value of moey i the form of willigess of baks, busiesses, ad people to pay iterest for its

More information

III. RESEARCH METHODS. Riau Province becomes the main area in this research on the role of pulp

III. RESEARCH METHODS. Riau Province becomes the main area in this research on the role of pulp III. RESEARCH METHODS 3.1 Research Locatio Riau Provice becomes the mai area i this research o the role of pulp ad paper idustry. The decisio o Riau Provice was supported by several facts: 1. The largest

More information

Problem Set 1a - Oligopoly

Problem Set 1a - Oligopoly Advaced Idustrial Ecoomics Sprig 2014 Joha Steek 6 may 2014 Problem Set 1a - Oligopoly 1 Table of Cotets 2 Price Competitio... 3 2.1 Courot Oligopoly with Homogeous Goods ad Differet Costs... 3 2.2 Bertrad

More information

Standard Deviations for Normal Sampling Distributions are: For proportions For means _

Standard Deviations for Normal Sampling Distributions are: For proportions For means _ Sectio 9.2 Cofidece Itervals for Proportios We will lear to use a sample to say somethig about the world at large. This process (statistical iferece) is based o our uderstadig of samplig models, ad will

More information

APPLICATION OF GEOMETRIC SEQUENCES AND SERIES: COMPOUND INTEREST AND ANNUITIES

APPLICATION OF GEOMETRIC SEQUENCES AND SERIES: COMPOUND INTEREST AND ANNUITIES APPLICATION OF GEOMETRIC SEQUENCES AND SERIES: COMPOUND INTEREST AND ANNUITIES Example: Brado s Problem Brado, who is ow sixtee, would like to be a poker champio some day. At the age of twety-oe, he would

More information

Combining imperfect data, and an introduction to data assimilation Ross Bannister, NCEO, September 2010

Combining imperfect data, and an introduction to data assimilation Ross Bannister, NCEO, September 2010 Combiig imperfect data, ad a itroductio to data assimilatio Ross Baister, NCEO, September 00 rbaister@readigacuk The probability desity fuctio (PDF prob that x lies betwee x ad x + dx p (x restrictio o

More information

5 Statistical Inference

5 Statistical Inference 5 Statistical Iferece 5.1 Trasitio from Probability Theory to Statistical Iferece 1. We have ow more or less fiished the probability sectio of the course - we ow tur attetio to statistical iferece. I statistical

More information

Today: Finish Chapter 9 (Sections 9.6 to 9.8 and 9.9 Lesson 3)

Today: Finish Chapter 9 (Sections 9.6 to 9.8 and 9.9 Lesson 3) Today: Fiish Chapter 9 (Sectios 9.6 to 9.8 ad 9.9 Lesso 3) ANNOUNCEMENTS: Quiz #7 begis after class today, eds Moday at 3pm. Quiz #8 will begi ext Friday ad ed at 10am Moday (day of fial). There will be

More information

Institute of Actuaries of India Subject CT5 General Insurance, Life and Health Contingencies

Institute of Actuaries of India Subject CT5 General Insurance, Life and Health Contingencies Istitute of Actuaries of Idia Subject CT5 Geeral Isurace, Life ad Health Cotigecies For 2017 Examiatios Aim The aim of the Cotigecies subject is to provide a groudig i the mathematical techiques which

More information

. (The calculated sample mean is symbolized by x.)

. (The calculated sample mean is symbolized by x.) Stat 40, sectio 5.4 The Cetral Limit Theorem otes by Tim Pilachowski If you have t doe it yet, go to the Stat 40 page ad dowload the hadout 5.4 supplemet Cetral Limit Theorem. The homework (both practice

More information

14.30 Introduction to Statistical Methods in Economics Spring 2009

14.30 Introduction to Statistical Methods in Economics Spring 2009 MIT OpeCourseWare http://ocwmitedu 430 Itroductio to Statistical Methods i Ecoomics Sprig 009 For iformatio about citig these materials or our Terms of Use, visit: http://ocwmitedu/terms 430 Itroductio

More information

University of Toronto Department of Economics. Search Intermediaries

University of Toronto Department of Economics. Search Intermediaries Uiversity of Toroto Departmet of Ecoomics Workig Paper 46 Search Itermediaries By Xiawe Shi ad Aloysius Siow April 05, 011 Search Itermediaries Xiawe Shi ad Aloysius Siow March 14, 011 Abstract I frictioal

More information

Lecture 4: Parameter Estimation and Confidence Intervals. GENOME 560 Doug Fowler, GS

Lecture 4: Parameter Estimation and Confidence Intervals. GENOME 560 Doug Fowler, GS Lecture 4: Parameter Estimatio ad Cofidece Itervals GENOME 560 Doug Fowler, GS (dfowler@uw.edu) 1 Review: Probability Distributios Discrete: Biomial distributio Hypergeometric distributio Poisso distributio

More information

Binomial Model. Stock Price Dynamics. The Key Idea Riskless Hedge

Binomial Model. Stock Price Dynamics. The Key Idea Riskless Hedge Biomial Model Stock Price Dyamics The value of a optio at maturity depeds o the price of the uderlyig stock at maturity. The value of the optio today depeds o the expected value of the optio at maturity

More information

Anomaly Correction by Optimal Trading Frequency

Anomaly Correction by Optimal Trading Frequency Aomaly Correctio by Optimal Tradig Frequecy Yiqiao Yi Columbia Uiversity September 9, 206 Abstract Uder the assumptio that security prices follow radom walk, we look at price versus differet movig averages.

More information

A New Approach to Obtain an Optimal Solution for the Assignment Problem

A New Approach to Obtain an Optimal Solution for the Assignment Problem Iteratioal Joural of Sciece ad Research (IJSR) ISSN (Olie): 231-7064 Idex Copericus Value (2013): 6.14 Impact Factor (2015): 6.31 A New Approach to Obtai a Optimal Solutio for the Assigmet Problem A. Seethalakshmy

More information

CHAPTER 8 Estimating with Confidence

CHAPTER 8 Estimating with Confidence CHAPTER 8 Estimatig with Cofidece 8.2 Estimatig a Populatio Proportio The Practice of Statistics, 5th Editio Stares, Tabor, Yates, Moore Bedford Freema Worth Publishers Estimatig a Populatio Proportio

More information

Subject CT5 Contingencies Core Technical. Syllabus. for the 2011 Examinations. The Faculty of Actuaries and Institute of Actuaries.

Subject CT5 Contingencies Core Technical. Syllabus. for the 2011 Examinations. The Faculty of Actuaries and Institute of Actuaries. Subject CT5 Cotigecies Core Techical Syllabus for the 2011 Examiatios 1 Jue 2010 The Faculty of Actuaries ad Istitute of Actuaries Aim The aim of the Cotigecies subject is to provide a groudig i the mathematical

More information

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India July 2012

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India July 2012 Game Theory Lecture Notes By Y. Narahari Departmet of Computer Sciece ad Automatio Idia Istitute of Sciece Bagalore, Idia July 01 Chapter 4: Domiat Strategy Equilibria Note: This is a oly a draft versio,

More information

First determine the payments under the payment system

First determine the payments under the payment system Corporate Fiace February 5, 2008 Problem Set # -- ANSWERS Klick. You wi a judgmet agaist a defedat worth $20,000,000. Uder state law, the defedat has the right to pay such a judgmet out over a 20 year

More information

1 Random Variables and Key Statistics

1 Random Variables and Key Statistics Review of Statistics 1 Radom Variables ad Key Statistics Radom Variable: A radom variable is a variable that takes o differet umerical values from a sample space determied by chace (probability distributio,

More information

Online appendices from Counterparty Risk and Credit Value Adjustment a continuing challenge for global financial markets by Jon Gregory

Online appendices from Counterparty Risk and Credit Value Adjustment a continuing challenge for global financial markets by Jon Gregory Olie appedices from Couterparty Risk ad Credit Value Adjustmet a APPENDIX 8A: Formulas for EE, PFE ad EPE for a ormal distributio Cosider a ormal distributio with mea (expected future value) ad stadard

More information

Calculation of the Annual Equivalent Rate (AER)

Calculation of the Annual Equivalent Rate (AER) Appedix to Code of Coduct for the Advertisig of Iterest Bearig Accouts. (31/1/0) Calculatio of the Aual Equivalet Rate (AER) a) The most geeral case of the calculatio is the rate of iterest which, if applied

More information

Maximum Empirical Likelihood Estimation (MELE)

Maximum Empirical Likelihood Estimation (MELE) Maximum Empirical Likelihood Estimatio (MELE Natha Smooha Abstract Estimatio of Stadard Liear Model - Maximum Empirical Likelihood Estimator: Combiatio of the idea of imum likelihood method of momets,

More information

REINSURANCE ALLOCATING RISK

REINSURANCE ALLOCATING RISK 6REINSURANCE Reisurace is a risk maagemet tool used by isurers to spread risk ad maage capital. The isurer trasfers some or all of a isurace risk to aother isurer. The isurer trasferrig the risk is called

More information

Competing Auctions with Endogenous Quantities

Competing Auctions with Endogenous Quantities Competig Auctios with Edogeous Quatities Bey Moldovau, Aer Sela, Xiawe Shi December 6, 006 Abstract We study models where two sellers simultaeously decide o their discrete supply of a homogeous good. There

More information

STRAND: FINANCE. Unit 3 Loans and Mortgages TEXT. Contents. Section. 3.1 Annual Percentage Rate (APR) 3.2 APR for Repayment of Loans

STRAND: FINANCE. Unit 3 Loans and Mortgages TEXT. Contents. Section. 3.1 Annual Percentage Rate (APR) 3.2 APR for Repayment of Loans CMM Subject Support Strad: FINANCE Uit 3 Loas ad Mortgages: Text m e p STRAND: FINANCE Uit 3 Loas ad Mortgages TEXT Cotets Sectio 3.1 Aual Percetage Rate (APR) 3.2 APR for Repaymet of Loas 3.3 Credit Purchases

More information

Non-Inferiority Logrank Tests

Non-Inferiority Logrank Tests Chapter 706 No-Iferiority Lograk Tests Itroductio This module computes the sample size ad power for o-iferiority tests uder the assumptio of proportioal hazards. Accrual time ad follow-up time are icluded

More information

A New Constructive Proof of Graham's Theorem and More New Classes of Functionally Complete Functions

A New Constructive Proof of Graham's Theorem and More New Classes of Functionally Complete Functions A New Costructive Proof of Graham's Theorem ad More New Classes of Fuctioally Complete Fuctios Azhou Yag, Ph.D. Zhu-qi Lu, Ph.D. Abstract A -valued two-variable truth fuctio is called fuctioally complete,

More information

Chapter Four Learning Objectives Valuing Monetary Payments Now and in the Future

Chapter Four Learning Objectives Valuing Monetary Payments Now and in the Future Chapter Four Future Value, Preset Value, ad Iterest Rates Chapter 4 Learig Objectives Develop a uderstadig of 1. Time ad the value of paymets 2. Preset value versus future value 3. Nomial versus real iterest

More information

ENGINEERING ECONOMICS

ENGINEERING ECONOMICS ENGINEERING ECONOMICS Ref. Grat, Ireso & Leaveworth, "Priciples of Egieerig Ecoomy'','- Roald Press, 6th ed., New York, 1976. INTRODUCTION Choice Amogst Alteratives 1) Why do it at all? 2) Why do it ow?

More information

Chapter Four 1/15/2018. Learning Objectives. The Meaning of Interest Rates Future Value, Present Value, and Interest Rates Chapter 4, Part 1.

Chapter Four 1/15/2018. Learning Objectives. The Meaning of Interest Rates Future Value, Present Value, and Interest Rates Chapter 4, Part 1. Chapter Four The Meaig of Iterest Rates Future Value, Preset Value, ad Iterest Rates Chapter 4, Part 1 Preview Develop uderstadig of exactly what the phrase iterest rates meas. I this chapter, we see that

More information

Dr. Maddah ENMG 624 Financial Eng g I 03/22/06. Chapter 6 Mean-Variance Portfolio Theory

Dr. Maddah ENMG 624 Financial Eng g I 03/22/06. Chapter 6 Mean-Variance Portfolio Theory Dr Maddah ENMG 64 Fiacial Eg g I 03//06 Chapter 6 Mea-Variace Portfolio Theory Sigle Period Ivestmets Typically, i a ivestmet the iitial outlay of capital is kow but the retur is ucertai A sigle-period

More information

KEY INFORMATION DOCUMENT CFD s Generic

KEY INFORMATION DOCUMENT CFD s Generic KEY INFORMATION DOCUMENT CFD s Geeric KEY INFORMATION DOCUMENT - CFDs Geeric Purpose This documet provides you with key iformatio about this ivestmet product. It is ot marketig material ad it does ot costitute

More information

Structuring the Selling Employee/ Shareholder Transition Period Payments after a Closely Held Company Acquisition

Structuring the Selling Employee/ Shareholder Transition Period Payments after a Closely Held Company Acquisition Icome Tax Isights Structurig the Sellig Employee/ Shareholder Trasitio Period Paymets after a Closely Held Compay Acquisitio Robert F. Reilly, CPA Corporate acquirers ofte acquire closely held target compaies.

More information

The Time Value of Money in Financial Management

The Time Value of Money in Financial Management The Time Value of Moey i Fiacial Maagemet Muteau Irea Ovidius Uiversity of Costata irea.muteau@yahoo.com Bacula Mariaa Traia Theoretical High School, Costata baculamariaa@yahoo.com Abstract The Time Value

More information

INTERVAL GAMES. and player 2 selects 1, then player 2 would give player 1 a payoff of, 1) = 0.

INTERVAL GAMES. and player 2 selects 1, then player 2 would give player 1 a payoff of, 1) = 0. INTERVAL GAMES ANTHONY MENDES Let I ad I 2 be itervals of real umbers. A iterval game is played i this way: player secretly selects x I ad player 2 secretly ad idepedetly selects y I 2. After x ad y are

More information

Basic formula for confidence intervals. Formulas for estimating population variance Normal Uniform Proportion

Basic formula for confidence intervals. Formulas for estimating population variance Normal Uniform Proportion Basic formula for the Chi-square test (Observed - Expected ) Expected Basic formula for cofidece itervals sˆ x ± Z ' Sample size adjustmet for fiite populatio (N * ) (N + - 1) Formulas for estimatig populatio

More information

Chapter 5: Sequences and Series

Chapter 5: Sequences and Series Chapter 5: Sequeces ad Series 1. Sequeces 2. Arithmetic ad Geometric Sequeces 3. Summatio Notatio 4. Arithmetic Series 5. Geometric Series 6. Mortgage Paymets LESSON 1 SEQUENCES I Commo Core Algebra I,

More information

Consumer Tracking and E cient Matching in Online Advertising Markets

Consumer Tracking and E cient Matching in Online Advertising Markets Cosumer Trackig ad E ciet Matchig i Olie Advertisig Markets Susa C. Athey, Emilio Calvao ad Joshua S. Gas December 3, 0 Oe of the advaces i our uderstadig of two-sided markets or platforms is the otio

More information

1 The Power of Compounding

1 The Power of Compounding 1 The Power of Compoudig 1.1 Simple vs Compoud Iterest You deposit $1,000 i a bak that pays 5% iterest each year. At the ed of the year you will have eared $50. The bak seds you a check for $50 dollars.

More information

We study how to manage commodity risks (price and consumption volume) via physical inventory and

We study how to manage commodity risks (price and consumption volume) via physical inventory and MANUFACTURING & SERVICE OPERATIONS MANAGEMENT Vol. 15, No. 3, Summer 2013, pp. 507 521 ISSN 1523-4614 (prit) ISSN 1526-5498 (olie) http://dx.doi.org/10.1287/msom.2013.0433 2013 INFORMS Maagig Storable

More information

CreditRisk + Download document from CSFB web site:

CreditRisk + Download document from CSFB web site: CreditRis + Dowload documet from CSFB web site: http://www.csfb.com/creditris/ Features of CreditRis+ pplies a actuarial sciece framewor to the derivatio of the loss distributio of a bod/loa portfolio.

More information

Gregor Zöttl: Emission Trading Systems and the Optimal Technology Mix

Gregor Zöttl: Emission Trading Systems and the Optimal Technology Mix Gregor Zöttl: missio Tradig Systems ad the Optimal Techology Mix Muich Discussio Paper No. 011-1 Departmet of coomics Uiversity of Muich Volkswirtschaftliche Fakultät Ludwig-Maximilias-Uiversität Müche

More information

The ROI of Ellie Mae s Encompass All-In-One Mortgage Management Solution

The ROI of Ellie Mae s Encompass All-In-One Mortgage Management Solution The ROI of Ellie Mae s Ecompass All-I-Oe Mortgage Maagemet Solutio MAY 2017 Legal Disclaimer All iformatio cotaied withi this study is for iformatioal purposes oly. Neither Ellie Mae, Ic. or MarketWise

More information

CAPITAL ASSET PRICING MODEL

CAPITAL ASSET PRICING MODEL CAPITAL ASSET PRICING MODEL RETURN. Retur i respect of a observatio is give by the followig formula R = (P P 0 ) + D P 0 Where R = Retur from the ivestmet durig this period P 0 = Curret market price P

More information

SCHOOL OF ACCOUNTING AND BUSINESS BSc. (APPLIED ACCOUNTING) GENERAL / SPECIAL DEGREE PROGRAMME

SCHOOL OF ACCOUNTING AND BUSINESS BSc. (APPLIED ACCOUNTING) GENERAL / SPECIAL DEGREE PROGRAMME All Right Reserved No. of Pages - 10 No of Questios - 08 SCHOOL OF ACCOUNTING AND BUSINESS BSc. (APPLIED ACCOUNTING) GENERAL / SPECIAL DEGREE PROGRAMME YEAR I SEMESTER I (Group B) END SEMESTER EXAMINATION

More information

EU ETS Hearing, European Parliament Xavier Labandeira, FSR Climate (EUI)

EU ETS Hearing, European Parliament Xavier Labandeira, FSR Climate (EUI) EU ETS Hearig, Europea Parliamet Xavier Labadeira, FSR Climate (EUI) 0. Thaks Chairma, MEPs. Thak you very much for ivitig me here today. I am hoored to participate i the work of a Committee whose previous

More information

SUPPLEMENTAL MATERIAL

SUPPLEMENTAL MATERIAL A SULEMENTAL MATERIAL Theorem (Expert pseudo-regret upper boud. Let us cosider a istace of the I-SG problem ad apply the FL algorithm, where each possible profile A is a expert ad receives, at roud, a

More information

Chapter 3. Compound interest

Chapter 3. Compound interest Chapter 3 Compoud iterest 1 Simple iterest ad compoud amout formula Formula for compoud amout iterest is: S P ( 1 Where : S: the amout at compoud iterest P: the pricipal i: the rate per coversio period

More information

Competing Auctions with Endogenous Quantities 1

Competing Auctions with Endogenous Quantities 1 Competig Auctios with Edogeous Quatities 1 Bey Moldovau, Aer Sela 3, Xiawe Shi 4 July 11, 007 1 We wish to tha Stefa Behriger, Drew Fudeberg, Phil Haile, two aoymous referees ad a associate editor for

More information

r i = a i + b i f b i = Cov[r i, f] The only parameters to be estimated for this model are a i 's, b i 's, σe 2 i

r i = a i + b i f b i = Cov[r i, f] The only parameters to be estimated for this model are a i 's, b i 's, σe 2 i The iformatio required by the mea-variace approach is substatial whe the umber of assets is large; there are mea values, variaces, ad )/2 covariaces - a total of 2 + )/2 parameters. Sigle-factor model:

More information

Rat Races and Glass Ceilings: Career Paths in Organizations

Rat Races and Glass Ceilings: Career Paths in Organizations Rat Races ad Glass Ceiligs: Career Paths i Orgaizatios Peter Bardsley The Uiversity of Melboure Kateria Sherstyuk The Uiversity of Melboure ad The Uiversity of Hawaii. November 2001 Abstract I a ogoig

More information

Online appendices from The xva Challenge by Jon Gregory. APPENDIX 10A: Exposure and swaption analogy.

Online appendices from The xva Challenge by Jon Gregory. APPENDIX 10A: Exposure and swaption analogy. APPENDIX 10A: Exposure ad swaptio aalogy. Sorese ad Bollier (1994), effectively calculate the CVA of a swap positio ad show this ca be writte as: CVA swap = LGD V swaptio (t; t i, T) PD(t i 1, t i ). i=1

More information

1 ECON4415: International Economics Problem Set 4 - Solutions

1 ECON4415: International Economics Problem Set 4 - Solutions ECON445: Iteratioal Ecoomics Problem Set 4 - Solutios. I Moopolistic competitio. Moopolistic competitio is a market form where May rms producig di eret varieties. Each rm has moopoly power over its ow

More information

Yoav Wachsman University of Hawaii

Yoav Wachsman University of Hawaii A Model of Fishig Coflicts i Foreig Fisheries Yoav Wachsma Uiversity of Hawaii A Brief History of Fisheries Exploitatio Util the later half of this cetury most marie fisheries were accessible to DWFNs

More information

Chapter 4: Time Value of Money

Chapter 4: Time Value of Money FIN 301 Class Notes Chapter 4: Time Value of Moey The cocept of Time Value of Moey: A amout of moey received today is worth more tha the same dollar value received a year from ow. Why? Do you prefer a

More information

MA Lesson 11 Section 1.3. Solving Applied Problems with Linear Equations of one Variable

MA Lesson 11 Section 1.3. Solving Applied Problems with Linear Equations of one Variable MA 15200 Lesso 11 Sectio 1. I Solvig Applied Problems with Liear Equatios of oe Variable 1. After readig the problem, let a variable represet the ukow (or oe of the ukows). Represet ay other ukow usig

More information

When you click on Unit V in your course, you will see a TO DO LIST to assist you in starting your course.

When you click on Unit V in your course, you will see a TO DO LIST to assist you in starting your course. UNIT V STUDY GUIDE Percet Notatio Course Learig Outcomes for Uit V Upo completio of this uit, studets should be able to: 1. Write three kids of otatio for a percet. 2. Covert betwee percet otatio ad decimal

More information

Introduction to Probability and Statistics Chapter 7

Introduction to Probability and Statistics Chapter 7 Itroductio to Probability ad Statistics Chapter 7 Ammar M. Sarha, asarha@mathstat.dal.ca Departmet of Mathematics ad Statistics, Dalhousie Uiversity Fall Semester 008 Chapter 7 Statistical Itervals Based

More information

Optimal Risk Classification and Underwriting Risk for Substandard Annuities

Optimal Risk Classification and Underwriting Risk for Substandard Annuities 1 Optimal Risk Classificatio ad Uderwritig Risk for Substadard Auities Nadie Gatzert, Uiversity of Erlage-Nürberg Gudru Hoerma, Muich Hato Schmeiser, Istitute of Isurace Ecoomics, Uiversity of St. Galle

More information

0.07. i PV Qa Q Q i n. Chapter 3, Section 2

0.07. i PV Qa Q Q i n. Chapter 3, Section 2 Chapter 3, Sectio 2 1. (S13HW) Calculate the preset value for a auity that pays 500 at the ed of each year for 20 years. You are give that the aual iterest rate is 7%. 20 1 v 1 1.07 PV Qa Q 500 5297.01

More information

Twitter: @Owe134866 www.mathsfreeresourcelibrary.com Prior Kowledge Check 1) State whether each variable is qualitative or quatitative: a) Car colour Qualitative b) Miles travelled by a cyclist c) Favourite

More information

Lecture 4: Probability (continued)

Lecture 4: Probability (continued) Lecture 4: Probability (cotiued) Desity Curves We ve defied probabilities for discrete variables (such as coi tossig). Probabilities for cotiuous or measuremet variables also are evaluated usig relative

More information

Procurement, Cost Reduction, and Vertical Integration

Procurement, Cost Reduction, and Vertical Integration Procuremet, Cost Reductio, ad Vertical Itegratio Simo Loertscher Uiversity of Melboure Michael Riorda Columbia Uiversity December 9, 20 Abstract We study a two-stage model of vertical itegratio that sheds

More information

CHAPTER 8: CONFIDENCE INTERVAL ESTIMATES for Means and Proportions

CHAPTER 8: CONFIDENCE INTERVAL ESTIMATES for Means and Proportions CHAPTER 8: CONFIDENCE INTERVAL ESTIMATES for Meas ad Proportios Itroductio: I this chapter we wat to fid out the value of a parameter for a populatio. We do t kow the value of this parameter for the etire

More information

NPTEL DEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING IIT KANPUR QUANTITATIVE FINANCE END-TERM EXAMINATION (2015 JULY-AUG ONLINE COURSE)

NPTEL DEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING IIT KANPUR QUANTITATIVE FINANCE END-TERM EXAMINATION (2015 JULY-AUG ONLINE COURSE) NPTEL DEPARTMENT OF INDUSTRIAL AND MANAGEMENT ENGINEERING IIT KANPUR QUANTITATIVE FINANCE END-TERM EXAMINATION (2015 JULY-AUG ONLINE COURSE) READ THE INSTRUCTIONS VERY CAREFULLY 1) Time duratio is 2 hours

More information

Chapter 11 Appendices: Review of Topics from Foundations in Finance and Tables

Chapter 11 Appendices: Review of Topics from Foundations in Finance and Tables Chapter 11 Appedices: Review of Topics from Foudatios i Fiace ad Tables A: INTRODUCTION The expressio Time is moey certaily applies i fiace. People ad istitutios are impatiet; they wat moey ow ad are geerally

More information

Price Discrimination through Multi-Level Loyalty Programs

Price Discrimination through Multi-Level Loyalty Programs Price Discrimiatio through Multi-Level Loyalty Programs Serdar Sayma Murat Usma December 03 This research was supported by TÜBİTAK (The Scietific ad Techological Research Coucil of Turkey Project No: 07K069

More information

Sequences and Series

Sequences and Series Sequeces ad Series Matt Rosezweig Cotets Sequeces ad Series. Sequeces.................................................. Series....................................................3 Rudi Chapter 3 Exercises........................................

More information

ACTUARIAL RESEARCH CLEARING HOUSE 1990 VOL. 2 INTEREST, AMORTIZATION AND SIMPLICITY. by Thomas M. Zavist, A.S.A.

ACTUARIAL RESEARCH CLEARING HOUSE 1990 VOL. 2 INTEREST, AMORTIZATION AND SIMPLICITY. by Thomas M. Zavist, A.S.A. ACTUARIAL RESEARCH CLEARING HOUSE 1990 VOL. INTEREST, AMORTIZATION AND SIMPLICITY by Thomas M. Zavist, A.S.A. 37 Iterest m Amortizatio ad Simplicity Cosider simple iterest for a momet. Suppose you have

More information

10. The two-period economy with sticky prices

10. The two-period economy with sticky prices 0. The two-period ecoomy with sticky prices Idex: 0. The two-period ecoomy with sticky prices... 9. Itroductio... 9. Basic model... 9.. Mai assumptios... 9.. Equilibrium...4 9.3 The well fuctioig versus

More information