Centralized versus Over-The-Counter Markets

Size: px
Start display at page:

Download "Centralized versus Over-The-Counter Markets"

Transcription

1 Centralzed versus Over-The-Counter Markets Vral Acharya NYU-Stern, CEPR and NBER Alberto Bsn NYU and NBER March 16, 2010 We are grateful to Rob Engle for nsghtful dscussons. We also thank comments from Erc Ghysels, Martn Oehmke, Marco Pagano (dscussant) and semnar partcpants at the Federal Reserve Bank of New York and Econometrc Socety Meetngs n Atlanta (2010). 1

2 Centralzed versus Over-The-Counter Markets Abstract The opacty of over-the-counter (OTC) markets n whch a large number of fnancal products ncludng credt dervatves trade appears to have played a central role n the ongong fnancal crss. We model such OTC markets for rsk-sharng n a general equlbrum setup where agents have ncentves to default and ther fnancal postons are not mutually observable. We show that n ths settng, there s excess leverage n that partes n OTC contracts take on short postons that lead to levels of default rsk that are hgher than Pareto-effcent ones. In partcular, OTC markets feature a counterparty rsk externalty that we show can lead to ex-ante productve neffcency. Ths externalty s absent when tradng s organzed va a centralzed clearng mechansm that provdes transparency of trade postons, or centralzed counterparty such as an exchange that observes all trades and sets prces. J.E.L.: G14, G2, G33, D52, D53, D62 Keywords: OTC markets, leverage, counterparty rsk, externalty, transparency, centralzed clearng, exchange

3 1 Introducton and motvaton An mportant rsk that needs to be evaluated at the tme of fnancal contractng s the rsk that the counterparty wll not fulfll ts future oblgatons. Ths counterparty rsk s dffcult to evaluate because the exposure of the counterparty to varous rsks s generally not publc nformaton. Contractual terms such as prces, nterest rates and collateral that affect the terms of trade can be talored to mtgate counterparty rsk, but the extent to whch ths can be acheved, and how effcently so, depends n general on how contracts are traded. One possble tradng nfrastructure s an over-the-counter (OTC) market n whch each party trades wth another, subject to a bankruptcy code that determnes how counterparty defaults wll be resolved. 1 A key feature of OTC markets s ther opacty. In partcular, even wthn a set of specfc contracts, for example, credt default swaps (CDS), no tradng party has full knowledge of postons of others. We show theoretcally n ths paper that such opacty of exposures n OTC markets leads to an mportant rsk spllover a counterparty rsk externalty 2 that leads to excessve leverage n the form of short postons that collect premum upfront but default ex post and result n neffcent levels of rsk-sharng and/or deadweght costs of bankruptcy. Counterparty rsk externalty s the effect that the default rsk on one contract wll be ncreased f the counterparty agrees to the same contract wth another agent because the second contract ncreases the probablty that the counterparty wll be unable to perform on the frst one. Put smply, the default rsk on one deal depends on what else s done. The ntuton for our result concernng the neffcency of OTC markets s that n OTC markets t s not at all transparent what else s beng done. Hence, counterpartes cannot charge prce schedules that effectvely penalze the creaton of counterparty rsk. Ths makes t lkely that excessvely large short postons wll be bult by some nsttutons wthout the full knowledge of other market partcpants. In general, when such nsttutons were to default, ther counterpartes would also ncur sgnfcant losses, creatng systemc rsk n the economy or more formally, neffcent ex-ante rsk-sharng. 1 The bankruptcy code may be specfed n the contract or adhere to a unformly applcable corporate bankruptcy code. 2 The term counterparty rsk externalty s as employed by Acharya and Engle (2009). A part of the dscusson below, especally related to A.I.G. s also based on that artcle. 3

4 For example, n September 2008, t became known that A.I.G. s lqudty poston was nadequate gven that t had wrtten credt default swaps (bespoke CDS) for many nvestors guaranteeng protecton aganst default on mortgage-backed products. Each nvestor realzed that the value of A.I.G. s protecton was dramatcally reduced on ts ndvdual guarantee. Investors demanded ncreased collateral essentally postng of extra cash whch A.I.G. was unable to provde and the Treasury had to take over A.I.G. The counterparty rsks were so wdespread globally that a default would probably have spurred many other defaults generatng a downward spral. The A.I.G. example llustrates well the cost that large OTC exposures can mpose on the system when a large nsttuton operatng n OTC markets defaults on ts oblgatons. But, more mportantly, t also rases the queston of whether A.I.G. s true rsk as a counterparty was reflected by nvestors n prces and rsk controls for protectons they purchased from A.I.G. We argue that the opacty of the OTC markets n whch these credt dervatves trade was prmarly responsble for allowng the buld-up of such large exposures n the frst place. Whle a number of fnancal nnovatons n fxed ncome and credt markets have traded untl now n OTC markets, many products lnked to commodty and equtes have traded successfully on centralzed exchanges. A dstngushng feature of centralzed exchange relatve to OTC tradng s that even though ndvdual agents stll do not see each others trades, there s a centralzed counterparty the exchange that sees all trades (at least on all products traded on that partcular exchange). Crucally, ths enables the exchange to offer ndvdual partes prcng schedules (e.g., collateral arrangements) for trades that are contngent not just on observable or publc characterstcs (e.g., credt ratngs) but also on ts own knowledge of other trades (e.g., net postons n CDS contracts). However, exchanges are often vewed as detrmental to ease of search facltated by blateral markets, especally for customzed or non-standardzed fnancal products. Indeed, even f trades are not ntermedated by a centralzed exchange, a centralzed clearng mechansm can be arranged to provde the transparency of trades precluded n OTC markets. We show formally that when tradng s organzed n the form of a centralzed clearng mechansm, resultng transparency enables market partcpants to condton contract terms for each counterparty based on ts overall postons. In turn, such condtonng s suffcent to get that party to nternalze the counterparty rsk externalty of ts trades. In other words, the moral hazard that a party wants to take 4

5 on excessvely short postons collect cash today and default tomorrow s counteracted by the fact that they face a steeper prce schedule by so dong. Effectvely, centralzed clearng mechansms s suffcent to acheve the effcent rsk-sharng outcome. A compettve centralzed exchange also would nduce effcent rsk-sharng, but n practce, ths would be at the cost of restrctng all trades, ncludng those nvolvng of non-standardzed fnancal assets, through a sngle ntermedary. 1.1 Model and results We derve these results n a compettve general equlbrum (GE) model wth two perods but allowng for the possblty of default (Geanakoplos, 1997, Geanakoplos and Zame, 1998, Dubey, Geanakoplos and Shubk, 2005). There s a sngle fnancal asset, whch can be nterpreted as a contngent clam on future states of the world, and agents can take long or short postons n the asset. Trades are collateralzed by agents endowments. When an agent has short postons that cannot be met by the pledgeable fracton of endowment, there s default. The possblty of default (the opton to exercse lmted lablty, to be precse) mples that long and short postons do not yeld the same payoff and ndeed that there s counterparty rsk n tradng. We assume a natural bankruptcy rule that llustrates why counterparty rsk potentally arses n such a settng. In partcular, n any gven state of the world, the payoff to long postons s determned pro-rata across postons based on delvery from short postons. 3. Ths ratonng of payments mples that each trade mposes a payoff externalty on other trades. We call ths spllover a counterparty rsk externalty. In ths setup, we consder varous tradng structures and ask whether a counterparty rsk externalty leads to neffcent rsk-sharng. A centralzed clearng mechansm guarantees that all trades are observable and agents can set prcng schedules that are condtonal on ths knowledge. A centralzed exchange s a centralzed counterparty that observes all trades and can set prcng schedules based on ths knowledge. We show that compettve equlbra n economes wth a centralzed clearng mechansm or a centralzed exchange are constraned Pareto effcent. 3 In partcular, n case of a centralzed bankruptcy mechansm, delvery from short postons s the sum total of full payments from non-defaultng partes and partal payments from defaultng partes; whereas n case of a blateral bankruptcy mechansm, delvery on short postons s just the partal payment from the defaultng counterparty 5

6 In economes wth OTC markets, on the contrary, trades are not mutually observed and thus prcng schedules faced by agents are not condtonal on ther other trades (even though they mght be condtoned on publc nformaton about ther type, e.g., ther endowment level or equvalently ther credt ratng). We show that compettve equlbra n economes wth OTC markets are robustly constraned neffcent. We study two dfferent cases, one n whch OTC markets operate wth a blateral nettng mechansm and one wthout blateral nettng. We show that OTC markets are robustly constraned neffcent n both cases. 4 Ths makes t precse that t s the opacty or lack of transparency of postons n the OTC markets (rather than dfferences wth centralzed tradng n how bankruptcy s resolved) that leads to ex-ante neffcency. The neffcency n the OTC settng manfests as excessvely large short postons as agents do not nternalze the default rsk these postons mpose on other trades n the economy. Intutvely, as long as there s a rsk premum on the nsurance contract (e.g., because the rsk beng nsured s aggregate n nature) and/or the costs of defaultng are not excessvely large, the nsurer perceves a beneft from buldng up short postons and defaultng ex post. We nterpret ths outcome as characterzng excessve leverage from an ex-ante standpont. Interestngly, ths mples a lower cost of nsurance per unt of promsed nsurance payoff snce the realzed nsurance payoff s smaller when nsurer s more lkely to default. In our model, we capture the resultng neffcency n the form of deadweght costs of bankruptcy, but more generally, t could also manfest as excessve systemc rsk from an ex-post standpont. Put together, these results mply that a centralzed clearng mechansm (or a compettve exchange) are an effcent regulatory response to the moral hazard that n the absence of perfect observablty of trades, agents have ncentves to take on short postons that allow them to consume today and default tomorrow. As an extenson, we allow agents to alter ther producton schedules. In ths case, the moral hazard of excessve leverage n the OTC case translates nto an addtonal neffcency n terms of excessve producton. Ths result clarfes that the neffcency of OTC markets extends beyond just neffcent 4 In other words, the counterparty rsk externalty s orthogonal to a nettng externalty that default decson of one party depends on the default decson of ts counterpartes. The nettng externalty also arses n OTC markets operatng wthout a blateral nettng mechansm. 6

7 rsk-sharng. An example of ths neffcency could be ex-ante systemc rsk. Suppose that there s nsurance beng provded on economy-wde mortgage default rates. Ths would carry a sgnfcant rsk premum, gvng rse to perverse nsurer ncentves to default. Thus, n equlbrum, the nsurer would take on large and nadequately-collateralzed short-sellng (of protecton) on pools of mortgages and the nsured would feed the excessve creaton of the housng stock backng such mortgages. 5 The remander of the paper s structured as follows. Secton 2 provdes a smple example of the counterparty rsk externalty and the nsurance provson wth default rsk. Secton 3 presents our basc equlbrum model, the varous tradng settngs we study, and the welfare analyss. Secton 4 dscusses several possble extensons of the model. Secton 5.3 consders the polcy mplcatons of our model for OTC versus centralzed clearng. Secton 6 relates our work to exstng lterature. Secton 7 concludes. 2 Example Consder a two-perod economy wth three types of agents. There are two states of the world at t = 1, denoted by Good (G) and Bad (B). The probabltes of these states are p and (1 p), respectvely. Agents endowments n the two states are denoted as w (s), = 1, 2, 3, and s = G, B. Ther ntal endowments are denoted w0. We assume throughout that ntal endowments are large enough that there are no default consderatons at t = 0. For smplcty, we also assume that and w 1 (G) > w 2 (G) > w 3 (G) = 0, w 1 (B) = w 2 (B) = 0 < w 3 (B). In other words, agents of type 1 and 2 have endowment n good state of the economy, but none n the bad state, whereas agents of type 3 are endowed n the bad state but not n the good state. The utlty of agents of each type satsfes the mean-varance representaton: E[u(x 0, x(s)] = x 0 + E(x(s)) γ 2 var(x(s)), 5 Ths may be a partal explanaton of the role played by credt default swap nsurances and A.I.G. n fuelng the credt boom precedng the crss of

8 where x 0 s the resdual endowment at t = 0, and x(s) s the realzed endowment at t = 1, takng account of trades structured at t = 0 and materalzed at t = 1. We assume that the only traded contract s an nsurance (or a credt default protecton) whch resembles a put opton on the bad state of the economy. The contractual payoff of the contract s R(G) = 0 and R(B) > 0. For smplcty, we wll refer to R(B) smply as R. Importantly, the economy wll allow for default so that the actual payoff on the contract need not concde wth R. The nsurance contract must be pad for at t = 0 and we denote ts prce as q. To hghlght our man pont, we consder agents 1 and 2 purchasng nsurance contract from agents 3. We denote the long postons of agents 1 and 2 as z 0, = 1, 2, and the short poston of agents 3 as z 3 0. Note that the only agents that can default gven our assumptons are agents 3. We assume that n case they default, they suffer a lnear non-pecunary penalty as a functon of the postons defaulted upon, whose pecunary equvalent n the bad state s gven by ɛz 3. Broadly speakng, ths penalty can be nterpreted as loss of contnuaton of franchse value n a mult-perod settng. 2.1 OTC markets Consder the case of over-the-counter (OTC) tradng: agents do not observe the sze of the trades put on by other agents and hence prces cannot be condtoned on these. In other words, all agents take the prce per unt of nsurance as a gven constant (and not a schedule dependng on total nsurance sold by agents 3 n the economy). Agents are fully ratonal, however, and antcpate correctly the lkelhood of default, and ts consequent effect on the realzed payoff on the nsurance contract (R + ) relatve to the promsed payoff (R). Suppose the realzed postons on the long postons n state B s R + R. Then, the t = 0 payoffs to the three agents are (x 1 0, x 2 0, x 3 0) = (w 1 0 z 1 q, w 2 0 z 2 q, w z 3 q), and t = 1 payoffs n good and bad states are gven respectvely as and [x 1 (G), x 2 (G), x 3 (G)] = [w 1 (G), w 2 (G), w 3 (G)], [x 1 (B), x 2 (B), x 3 (B)] = [R + z 1, R + z 2, w 3 (B) R + z 3 ɛz 3 1 D ], 8

9 where 1 D s an ndcator varable whch takes on value of one f there s default (R + < R) and zero otherwse. Then, equlbrum n the economy s characterzed by the tradng postons, the payoff on the nsurance contract (nvolvng the possblty of default) and the cost of nsurance: (z 1, z 2, z 3, R +, q), such that 1. Each agent maxmzes ts expected utlty by choosng ts trade postons (as we descrbe below); 2. Market for nsurance clears: z 3 = z 1 + z 2 ; and, 3. In case of default, (we assume that) there s pro-rata sharng of agents 3 s total endowment between the long postons of agents 1 and 2: R + = { w 3 (B) f 1 z 1 +z 2 D = 1 R else Now, consder agent 1 s maxmzaton problem: max z 1 w 1 0 z 1 q + pw 1 (G) + (1 p)r + z 1 γ 2 var(x1 (s)), where var(x 1 (s)) = p(1 p)[w 1 (G) R + z 1 ] 2. Then, the frst-order condton for agent 1 mples that z 1 (R +, q) = 1 [ w 1 (G) + ((1 ] p)r+ q). (1) R + γp(1 p)r + Smlarly, we obtan for agent 2 s long poston that: z 2 (R +, q) = 1 [ w 2 (G) + ((1 ] p)r+ q) R + γp(1 p)r + (2) In other words, all else equal, agents 1 and 2 purchase more nsurance f they have greater endowment n the good state and less so f the cost of nsurance rses. On the other hand, the more nsurance agent 3 sells the hgher are ts ncentves to default n state B. To clarfy agent 3 s choce wth regards to 9

10 default, consder frst the case n whch t cannot default. In ths case ts problem s max z 3 w z 3 q + (1 p)[w 3 (B) Rz 3 ] γ 2 p(1 p)[w3 (B) Rz 3 ] 2, whch yelds z 3 ND = 1 R [ w 3 (B) ] ((1 p)r q). (3) γp(1 p)r In the lmt when there are no default costs, that s, ɛ = 0, agent 3 wth poston znd 3 wll not default n equlbrum only f w 3 (B) Rz 3 ND, whch turns out to be equvalent to requrng that q (1 p)r. Ths condton has the ntutve nterpretaton that the nsurer has ncentves not to default ex post only f the prce of nsurance s smaller than or equal to the expected payoff on the nsurance, or n other words, that there s no rsk premum n the nsurance prce. Ths wll, however, not hold n equlbrum n general, whenever the nsurance s aganst a rsk that cannot be fully dversfed away. 6 More generally, consder then the problem of agent 3, the nsurer, when we explctly allow for default at proportonal cost of default ɛ > 0: max z 3 w z 3 q (1 p)ɛz 3 γ 2 p(1 p)(ɛz3 ) 2. Clearly, the nsurer pledges the entre endowment n the bad state at t = 1 n order to collect as much nsurance premum as possble at t = 0. 7 Thus, 6 Ths s an mportant pont. Snce default s nherently a macroeconomc phenomenon, t explans why there s the moral hazard of default on part of nsurers sellng credt default swaps (CDS): CDS nherently contan at least some porton of aggregate rsk (or n the case of A.I.G., almost all porton). In contrast, there s less rsk of such a moral hazard for tradtonal nsurance busnesses: Tradtonal nsurances are on rsks such as death, accdents, etc., whch are easly dversfed away across agents n the economy, so that nsurers smply earn the actuarally far premum and do not earn a sgnfcant rsk premum. 7 Note that the no-default condton now takes the form: w 3 (B) (R + ɛ)z 3. 10

11 from the frst-order condton, we obtan that z 3 = q (1 p)ɛ γp(1 p)ɛ 2. (4) Thus, the lower the cost of default ɛ and greater the prce of nsurance q, the greater s the quantty of nsurance suppled by the nsurers. Substtutng for (z 1, z 2, z 3 ) n the market-clearng and bankruptcy condtons of the equlbrum yelds two equatons n the realzed nsurance payoff R + and nsurance prce q whch can be solved to characterze the equlbrum: R + (q) = w3 (B)γp(1 p)ɛ 2, (5) q (1 p)ɛ w 3 (B) = w 1 (G) + w 2 (G) + 2 γp 2q γp(1 p)r +. (6) Solvng ths system, we obtan a quadratc equaton n the cost of nsurance q, whch we can solve numercally. 2.2 Numercal example We parametrze the above economy wth w 1 (G) = 10, w 2 (G) = 5, and w 3 (B) = 10. We set p = 0.9 and vary ɛ n the range [0.1, 1.0]. Fgures 1, 2 and 3 plot respectvely the equlbrum quantty of nsurance sold (z 3 ), ts realzed payoff (R + ), and ts prce (q), all as a functon of ɛ, the proportonal deadweght cost of default. There s a crtcal value of ɛ below whch defaults take place and ths value s around Above ths value, there s no default. Interestngly, for all ɛ smaller than ths threshold value, the equlbrum s effectvely the same as far as rsk-sharng s concerned. In partcular, agents 3 transfer all ther endowment n the bad state at t = 1 to agents 1 and 2. To be precse, the equlbrum utltes (relatve to t = 0 endowments) are (U 1, U 2, U 3 ) = ( 1.97, 0.84, 1.35) regardless of ɛ n the default range. However, ths s not true of equlbrum quantty of nsurance and ts prce. For example, when ɛ = 0.5, the quanttes traded are (z 1, z 2 ) = (8.22, 2.74) wth z 3 = z 1 + z 2 ; there s 9% default on the contract (R + = 0.91); and, nsurance prce s q = In contrast, wth ɛ = 0.01, the quanttes traded become much larger: (z 1, z 2 ) = (410.95, ); there s 98% default on the contract (R + = 0.02); and, nsurance prce s q =

12 In other words, as the default ncentves for agent 3 become stronger, there s greater quantty of nsurance sold. Thus, there s greater default and greater deadweght costs suffered by agents 3. In turn, the equlbrum nsurance prce s smaller too. Default by the nsurer lowers the prce of nsurance snce the payoff on the contract s ratonally antcpated by those purchasng nsurance to be smaller. Put smply, the qualty of nsurance has gone down gven default rsk of the nsurer. 2.3 Ineffcency of OTC markets The neffcency of the equlbrum n example above stems from excessve deadweght costs of agent 3 s bankruptcy. Ths can be seen n Fgure 4 whch plots the sum of utltes of all three agents and also separately of agents 3. In effect, regardless of the value of ɛ, we obtan full transfer of endowment n the bad state from agents 3 to the other two agents. However, when ɛ s small, ths occurs n equlbrum wth agents 3 sellng quanttes of nsurance that lead to ther default. Hence, agents 1 and 2 enjoy the same equlbrum utlty as ɛ vares; n contrast, for ɛ < 0.548, default leads to deadweght costs borne by agents 3 and ther equlbrum utlty s substantally lower compared to ɛ It s clear n ths case that the planner can mprove upon the OTC case when ɛ s smaller than Essentally, the planner needs to enforce a poston lmt that restrcts agents 3 from sellng a quantty of nsurance z 3 that s beyond ther endowment n bad state w 3 (B). One way n whch ths poston lmt can be mplemented s through a non-lnear prcng schedule: q(z 3 ) = 0 f z 3 > w 3 (B), and q(z 3 ) determned by the markets otherwse. Whle n our specfc example, t s effcent for nsurance to be fully collateralzed so that any default s ruled out n equlbrum, ths s n general not true. What s however true, and we wll show below, s that the OTC markets always feature greater lkelhood of default n equlbrum compared to ts (Pareto) effcent level. Also beyond ths example, the hgh quantty of nsurance sold n OTC markets may also be welfare-reducng f nsurance has a moral hazard effect on part of hedgers, n terms of ther changng productve nvestments towards aggregate rsky assets. We extend the example to ths case n Secton 4.2. But frst, we derve the result on neffcency of OTC markets n a setup that generalzes the above example. 12

13 3 The economy We now buld on the above example to construct a general model of an OTC market wth default rsk and compare ts propertes wth those of fnancal markets regulated by a centralzed clearng mechansm. Effectvely, we extend a two-perod General Equlbrum (GE) exchange economy wth default (Geanakoplos, 1997, Geanakoplos and Zame, 1998, Dubey, Geanakoplos and Shubk, 2005) to allow for dfferent mechansms for fnancal market tradng. Agents and endowments The economy s populated by = 1,..., I types of agents. Let x 0 be consumpton of agent at tme 0. Let s = 1,..., S denote the states of uncertanty n the economy, whch are realzed at tme 1. State s occurs wth probablty p s, and p s = 1. Let x 1 be agent s consumpton s at tme 1, a random varable over the state space S: x 1(s), for s S. Let w 0 be the endowment of agent at tme 0; and w 1(s) her endowment at tme 1 n state s. The utlty of agent over consumpton n state s s denoted as u (x 0, x 1(s)) and belongs to the von-neumann Morgenstern class of expected utlty functons. Fnancal markets and default We assume, for smplcty, that only one fnancal asset s traded n ths economy, an asset whose payoff s an exogenous non-negatve S-dmensonal vector R. We can magne t representng a dervatve contract, e.g., a credt default swap. Agents sellng the asset mght default on ther requred payments. In partcular, agent s short postons are collateralzed by the pledgeable fracton α of her endowment at tme 1. In other words, n the event of default, credtors (counterpartes holdng long postons on the asset wth the defaultng party) have recourse only to a fracton α [0, 1] of the debtor s endowment w1(s). Only a fracton of the debtor s endowment can be pledged as collateral, for nstance, because part of the endowment s agent-specfc. Other than the defaultng agent smply losng her collateral to counterpartes, default s assumed to have a drect deadweght cost εz that s proportonal on the poston defaulted upon. Deadweght costs of default wll serve the convenent purpose of provdng a bound to short postons on the asset. Agents trade blaterally n fnancal markets. Even though one sngle asset s traded ex ante, the asset pay-off ex post depends on the type of the agent shortng t, as default decsons n turn do. Let z j + be long postons of 13

14 agents of type sold by agents of type j. Let z+ = ( ) z j + denote the long j I portfolo vector of agents of type (wth z+ = 0, by constructon). Let z be the short poston of agents of type. As we wll explan shortly, all short postons are symmetrc for the agents shortng the asset, ndependently of the counterparty, so that there s no need to ndex short postons of an agent by the counterparty. 3.1 OTC markets Consder frst the case n whch tradng s ntermedated n over-the-counter (OTC) markets. We model OTC markets as standard compettve markets wth no centralzed clearng or centralzed counterparty (such as an exchange). We assume that no credtor has prvleged recourse to a debtor s collateral n case of default. Nonetheless, a bankruptcy mechansm operates to dstrbute the cash flow delvered on the short postons (full cash flow or endowment recovered n case of default) pro-rata amongst the long postons. To be precse, consder an agent of type shortng the asset. At equlbrum, the sum total of the repayment cash flow s dstrbuted pro-rata among the holders of long postons wth counterparty. 8 The default condton An agent of type wth (long, short) portfolo poston (z+, z ) wll default n perod 1 n state s ff her ncome after assets pay off s smaller than the non-pledgeable fracton of her endowment. Let R j (s) denote the payoff n state s of her long asset portfolo wth counterparty j I\{}. The payoff R j (s) s taken as gven by each agent, though t s endogenously determned, dependng on the equlbrum default rate of agents of type j n the economy (as shown later). Consder an agent wth a net short poston z > 0. She wll default on her short poston n state s ff: w 1(s) + j R j (s)z j + R(s)z < (1 α) w 1(s) εz. (7) Note that we allow for an agent to mantan at the same tme both short and long postons on the asset: z and z j + > 0, for some j. In other words, 8 In fact, n the model the bankruptcy mechansm wll pool all repayments of agents of type and redstrbute them pro-rata to the counterpartes. Ths s wthout loss of generalty, as we concentrate on symmetrc equlbra. 14

15 we assume that the clearng mechansm provded by OTC markets does not nclude blateral nettng. We shall study nettng later on n the secton. Let I d (z +, z ;, s) be an ndcator varable takng on value 1 f agent wth poston (z +, z ) wll default at equlbrum n state s, and zero otherwse. Fnally, let I nd (z +, z ;, s) = 1 I d (z +, z ;, s). Wthout loss of generalty, I d (z +, 0;, s) = 0. Equlbrum payoffs on long and short postons: Snce all long postons share pro-rata the payments from defaultng and non-defaultng short postons, the equlbrum payoff of the asset shorted by agent j, denoted R j (z+, j z ; j s), s gven by R j (z j +, z j ; s) = { αw j 1 (s) z j f I d (z j +, z j ; j, s) = 1 R(s) otherwse (8) where (z j +, z j ) s the portfolo of agents of type j at equlbrum. Opacty In OTC markets, there s no centralzed clearng and dsclosure, nor any centralzed counterparty that sees all trades. Thus, the trades of each agent, (z+, z ), are not observed n OTC markets by other agents. Prces and budget constrants Long and short blateral postons wll n general be traded at a prce q j, where the apex j denotes the type of the agent n the short poston. Importantly though, the prce does not depend on her portfolo, snce t s not observed. The budget constrants of agent n the OTC market are thus gven by: x 0 + j qj z j + { q z = w0, x 1(s) = max w1(s) + } j Rj (s)z j + R(s)z, (1 α) w1(s) εz (9) where z j +, z 0, for any j. The untary prce of a blateral asset trade z j + depends on the short agent s type j, as the type determnes the agent s endowment whch s publc knowledge and affects her probablty of default. The fact that the ask prce for agent j s nstead not condtoned on her trades, as we noted, s the prmary 15

16 dstncton between OTC and markets wth a centralzed clearng mechansm: contract terms (prces, nterest rates, collateral requrements, etc.) are not condtoned on agents trades n the case of OTC markets whereas they wll be n case of a centralzed clearng mechansm (Secton 3.3). At the compettve equlbrum, fnancal mar- Compettve equlbrum kets clear: z j + z j = 0, for any j. (10) Furthermore, at equlbrum, the payoff R j (s) must satsfy the consstency condton: R j (s) = R j (z j +, z j ; s) = { αw j 1 (s) z j f I d (z j +, z j ; j, s) = 1 R(s) otherwse (11) Let u (x m (s) = MRS x 0, x 1(s)) (s) p 1 s (12) u (x x 0, x 1(s)) 0 denote the margnal rate of substtuton between date 0 and state s at date 1 for agents of type at equlbrum. Equlbrum prces are then such that 3.2 OTC wth nettng q j = max E ( m R j), for any j. (13) In the OTC markets modeled n the prevous secton an agent s allowed to go both short and long on the asset, and n equlbrum t mght be that z > 0 and, at the same tme, z j + > 0 wth some counterparty j. In ths context, a mechansm for blateral (ex-post, that s, state-by-state) nettng mght have welfare consequences. Whle blateral nettng mght be dffcult to mplement n OTC markets, we nonetheless defne here an economy wth OTC markets and nettng so as to be able to better dstngush the welfare effects of varous dstnct components of OTC and centralzed market clearng mechansms. 16

17 We model blateral nettng by requrng that agents are wthout loss of generalty on one sde only of the market, that s, for an agent of type : z j +z = 0, for any j. (14) As a consequence, an agent of type wth a short poston z > 0 wll default n state s ff: w 1(s) R(s)z < (1 α) w 1(s) εz. (15) Let I d (z ;, s) be an ndcator varable takng on value 1 f agent wth short poston z wll default at equlbrum n state s, and zero otherwse. Short postons payoffs are now wrtten R j (z j ; s) = { αw j 1 (s) z j f I d (z j ; j, s) = 1 R(s) otherwse and budget constrants of agents are restrcted by z j +z = 0, for any j. Fnally, at a compettve equlbrum n an economy wth OTC markets and nettng, fnancal markets clear, the consstency condton R j (s) = R j (z j ; s) s satsfed, and equlbrum prces are 3.3 Centralzed clearng q j = max E ( m R j), for any j. In the prevous secton we formalzed the compettve equlbrum of an economy n whch fnancal market trades are ntermedated by an OTC market. In ths secton we model nstead the operaton of a centralzed clearng mechansm. We model centralzed clearng mechansms as composed of two fundamental functons: blateral nettng and transparency. Transparency s obtaned because a centralzed clearng mechansm aggregates centrally all the nformaton about trades and dssemnates t to market partcpants. 9 Regardng bankruptcy resoluton, we contnue to assume that no credtor has drect prvleged recourse to a debtor s collateral, n case of default; and that, at equlbrum, the sum total of cash flows s dstrbuted pro-rata among 9 We stress that a centralzed clearng mechansm need not centrally ntermedate the trades as, for nstance, a centralzed exchange would do. We study centralzed exchanges n Secton

18 the holders of long postons. Because of blateral nettng, as already noted, an agent wth a short poston z > 0 wll default n state s ff w 1(s) R(s)z < (1 α) w 1(s) εz ; and the equlbrum payoff of the asset shorted by agent j s thus gven by R j (z j ; s) = { αw j 1 (s) z j f I d (z j ; j, s) = 1 R(s) otherwse. Because of transparency, each agent n the economy has access to detaled nformaton about all trades and can condton contract terms on ths nformaton. We assume that prces are set n a compettve manner. Specfcally, agents are prce-takers. However, the payoff on the short poston of agent j depends on the poston tself, z, j and prces wll n general reflect such dependence. Dfferent agents wll face dfferent prces, reflectng the probablty of default mpled by ther characterstcs: ther type as well as ther tradng postons. Ths requres us to modfy the prce-takng assumpton for short postons n an mportant manner (that s smlar n sprt to modfcatons n Acharya and Bsn, 2008, and Bsn, Gottard and Ruta, 2009). Specfcally, an agent of type j wth short poston z j wll face an ask prce map q (z j ) j = max E ( m R j (z ) ) j. (16) In other words, an agent of type j understands that the prce he wll face for a short poston depends on the total short postons he sells, z. j Furthermore, an agent of type j understands that the prce he wll face for a short poston s equal to the hghest margnal valuaton across all agents of the payoff assocated to hs/her poston, R (z j ). j Prce takng s then represented by the fact that agents take the vector of prcng kernels ( m 1,..m,.., m I) as gven. On the other hand, regardng long postons, the payoff R j (s) s taken as gven by each agent, and so s the prce q j. The budget constrants of agent are thus gven by: x 0 + j qj z j + { q (z )z = w0, x 1(s) = max w1(s) + } j Rj (s)z j + R(s)z, (1 α) w1(s) εz (17) where z j +, z 0, z j +z = 0, for any j. 18

19 At compettve equlbrum, the portfolos demanded by all agents clear: z j + z j = 0, for any j, (18) and the prce maps and returns are ratonally antcpated by agents: q j = q (z j ) j = max E ( m R j (z ) ) j, (19) R j (s) = 3.4 Welfare { αw j 1 (s) z j f I d (z j ; j, s) = 1 R(s) otherwse, for any j. (20) How does the compettve equlbrum under OTC markets compare n terms of effcency propertes to the compettve equlbrum under centralzed exchange? To answer ths queston, we wrte down the constraned Pareto effcent outcome as the soluton to the followng problem: max λ E ( u (x 0, x 1) ) (x 0,x 1,zj +,z ),j s.t. x 0 w0 = 0, x 1(s) w1(s) = 0, for any s { x 1(s) = max R j (z j ; s) = { αw j 1 (s) z j w 1(s) + j R j (s)z j + R(s)z, (1 α) w 1(s) εz f I d (z j +, z j ; j, s) = 1 R(s) otherwse }, (21) (22) (23) where z+, j z 0, z+z j = 0, for any j. (24) where λ s the Pareto weght assocated to agents of type. Ths s the standard constraned effcency problem for a GE economy once t s assumed that default s not controlled by the planner. The constrant (21) serves two purposes: 19

20 () t restrcts the planner s allocatons to those that can be acheved wth the lmted fnancal nstruments avalable n the economy; and () t accounts for the fact that each agent can choose to default or not, n each state s: 10 consumpton n a default state s s (1 α) w 1(s) εz, the non-pleadgeable fracton of endowment net of the deadweght costs. 3.5 Results We can derve the followng results on the constraned effcency of the centralzed exchange economy and the (generc) constraned neffcency of the economy wth OTC markets: Proposton 1. Any compettve equlbrum of an economy wth a centralzed clearng mechansm s constraned Pareto optmal. The ntuton for effcency of the centralzed exchange economy s that each agent that s short on the asset faces a prce q (z j ) j = max E ( m R (z j ) ) j that s condtoned on her postons. Consequently, she nternalzes the effect of her default on the payoff of long postons on the asset R j (s). The observablty of all trades allows for condtonng of prces based on ths nformaton and hence n turn t enables the economy wth default rsk to get agents to nternalze any externalty ther default choces mpose (n terms of neffcent rsk-sharng) on other agents due to postons that lead to excessve defaults ex post. It s straghtforward to show, on the contrary, that equlbra n economes wth OTC markets are not n general constraned Pareto effcent. Frst of all consder an economy wth OTC markets wthout blateral nettng. As we noted, n ths case, an agent of type wth a short poston z > 0 wll default n state s ff: { } x 1(s) = max w 1(s) + j R j (s)z j + R(s)z, (1 α) w 1(s) εz. (26) 10 Formally, the constrant ncludes the ncentve compatblty constrant for each agent s choce of default: u (x 0, x 1(s)) u (x 0, (1 α) w 1(s) εz ). (25) 20

21 The default decson of an agent of type, therefore, depends on R j (s), that s, on agents j s default decsons, whch n turn depend on s default decsons, ntroducng a nettng externalty at equlbrum. It s the case then that, Compettve equlbra of economes wth OTC markets wthout nettng are robustly not Pareto effcent. The proof of ths statement, however, requres some complex dfferental computatons and s omtted. It s an adaptaton of that n Bsn, Geanakoplos, Gottard, Mnell, and Polemarchaks (2001). Wth nettng, on the other hand, an agent wth a short poston z > 0 wll default n state s ff: w 1(s) R(s)z < (1 α) w 1(s) εz. (27) No nettng externalty arses then n ths case. We shall show however that equlbra of an economy wth OTC markets and nettng are also typcally constraned neffcent. In other words, the transparency provded by centralzed clearng mechansm (and not by OTC market economes, wth or wthout nettng) s typcally requred for constraned effcency. Proposton 2. Compettve equlbra of economes wth a centralzed clearng mechansm cannot be robustly supported as equlbra n economes wth OTC markets, wth or wthout nettng. 11 More specfcally, any compettve equlbrum of the economy wth centralzed clearng mechansm n whch default occurs wth postve probablty cannot be supported n the economy wth OTC markets, wth or wthout nettng. The ntuton s that n OTC markets, wth or wthout nettng, each agent j that s short on the asset faces a prce q j that s not condtoned on her poston z j. Consequently, she does not nternalze the effect of her default on the payoff of long postons on the asset R j. Ths s a counterparty rsk externalty n addton to the nettng externalty. More generally, t s also the case that 11 Formally, by robustly we mean: for an open set of economes parametrzed by agents endowments and preferences. 21

22 Compettve equlbra of economes wth OTC markets and nettng are robustly not constraned Pareto effcent. 12 Fnally, let the leverage of agent j, L j, be defned as the value of her (promsed) debt dvded by the value of her endowment Then, L j E(mj Rz j ) E(m j w j 1). (28) Proposton 3. For deadweght costs ε small enough, compettve equlbra of economes wth OTC markets, wth or wthout nettng, are characterzed by weakly greater (and robustly by strctly greater) leverage and default wth respect to equlbra of the same economy wth a centralzed clearng mechansm. Snce ask prces n economes wth OTC markets, wth or wthout nettng, do not penalze the short postons for ther own ncentves to default, agents have ncentves to exceed the Pareto effcent short postons. Indeed, the proof of these man propostons n the Appendx shows that as long as prce on the short poston s postve, whch s robustly the case n equlbrum, there s ncentve to go excessvely short, collect the prema up front, and default ex post. Ths ncreases the equlbrum default rate and leads to neffcent rsk-sharng. 13 For effcent rsk-sharng, t s n general necessary to be able to commt to future payoffs on fnancal assets, but n OTC markets, such commtment s not enforced through prces and ncentves to go excessvely short and default dlute the clams of shortng agent s counterpartes. Opacty and counterparty rsk externalty When combned together, Propostons 1, 2, and 3 mply that a centralzed clearng mechansm s an effcent response to the moral hazard that n the absence of perfect observablty of trades, agents have ncentves to take on short postons that allow 12 We omt the proof of ths statement, once agan, to avod some complex dfferental computatons. 13 If ε = 0, z s unbounded and, strctly speakng, the economy has no equlbrum. Ths s just a extreme case, whch s of nterest to dentfy the force towards borrowng and default bult nto our model of OTC markets. Postve deadweght costs, ε > 0, guarantee exstence. 22

23 them to consume today and default tomorrow. Our analyss, especally n Propostons 2 and 3, makes t precse that t s the opacty or lack of transparency of the OTC markets that leads to ex ante neffcency n terms of excessvely large short postons or leverage. We call ths neffcency counterparty rsk externalty snce t stems from counterparty rsk, the rsk of default of the short party on long postons. Excessve level of such counterparty rsk lowers the payoff to all long postons n the economy, consttutng an mportant negatve externalty on economy-wde rsk sharng. In equlbrum, agents antcpate the lowerng of payoff on long postons and the prce of nsurance falls. However, ths s not suffcent to preclude the nsurers from sellng large quanttes of nsurance and defaultng ex post, resultng n neffcently large deadweght costs of bankruptcy. Whle the externalty s not fully nternalzed n OTC markets, t s nternalzed f there s a centralzed clearng mechansm that provdes dsclosure or transparency of agents postons. 4 Extensons 4.1 Centralzed exchange economy In ths secton we study an economy n whch all asset trades are operated by a compettve centralzed exchange. In essence, the exchange s a centralzed counterparty that observes all trades and condtons contract terms for ndvdual agents on these trades. We shall contnue to assume that no credtor has drect prvleged recourse to a debtor s collateral, n case of default. The centralzed exchange, on the other hand, has full recourse to the debtors pledgeable collateral. Furthermore, the exchange operates as a bankruptcy mechansm, by dstrbutng the cash flow of the short postons of the asset, pro-rata wth respect to the long postons. An agent, takng a long poston z j + > 0 wth short counterparty j, takes the return R j as well as the prce q j as gven. The equlbrum payoff of the asset shorted by agent j, denoted R j (z ; j s), contnues to be gven by R j (z ; s) = { αw 1 (s) z f I d (z +, z ;, s) = 1 R(s) otherwse (29) Consequently, an agent of type j wth short poston z wll face an ask prce 23

24 map q j (z j ) = max E ( m R j (z j ) ). (30) Prce ( takng s represented by the fact that agents take the prcng kernels m 1,.., m,.., m I) as gven. We turn next to the decson problem of the compettve centralzed exchange, whch controls the supply of the asset to agents. Let the supply offered by the exchange to agent for long and short postons be denoted (θ+, j θ, s.t. θ+θ j = 0),j. 14 Then, gven the supples, the exchange can compute the cash flow of the short postons of agents: R j (θ j ; s) = { αw j 1 (s) θ j f I d (θ j ; j, s) = 1 R(s) otherwse. (31) The exchange prces a untary short poston as max E ( m R j (θ ) ) j, takng as gven the stochastc dscount factor of the agent who values t the most at the margn, that s the agent who would acqure t f offered. To summarze, ( a compettve exchange takes as gven the stochastc dscount factors m 1,.., m,.., m I). Crucally, the exchange antcpates the compostonal effects on default rsk of portfolos of dfferent agent types, that s, t recognzes how each agent s ncentves to default are affected by ts postons (θ+, j θ ). Thus, the exchange solves the followng problem: s.t. max (θ j +,θ ) [ j max E ( m R j (θ j ) ) ( ) ] θ j + θ j (32) θ j + θ j = 0, for any j. (33) At compettve equlbrum, the portfolos demanded by the agents are offered by the compettve exchange and markets clear: 14 By constructon, θ + = 0. θ j + = z j +, θ = z,, j, (34) 24

25 and the prce maps and returns antcpated by agents are consstent wth those perceved by the exchange: q (z j ) j = max E ( m R j (z j ) ). (35) q j = q (z j ) j = max E ( m R j (z j ) ). (36) R j (s) = R j (z ; j s). (37) It s straghtforward to show that the compettve equlbrum allocatons of economes wth a centralzed exchange concde wth those of economes wth a centralzed clearng mechansm. Therefore, by Proposton 1, compettve equlbrum allocatons of economes wth a centralzed exchange are constraned effcent. Note however that a centralzed exchange whch ntermedates all fnancal market trades s a much more nvasve nsttuton than a centralzed clearng mechansm. 4.2 Producton rsk In our whole analyss the aggregate endowment of the economy, I w 0 at tme 0 and I w s n each state s S, has been kept constant. Consequently, the neffcency of OTC markets has only dstrbutonal effects: nsurers have ncentves to take on excessve leverage, asset prces ratonally reflect equlbrum leverage, and hence nsurance markets endogenously fal to serve ther purpose. Therefore, resources are ms-allocated n equlbrum. Nonetheless, no resources are lost or altered n the aggregate other than the deadweght costs of bankruptcy. Ths ceases to be the case f we allow for producton n the economy, as we proceed to show n ths secton. 15 Suppose each agent s endowed wth a producton functon f whch transforms consumpton goods at tme 0 nto consumpton goods at tme 1. More precsely, consder the followng technology. Let K = k 2 k 1 : denote a captal allocaton vector over A actvtes k A (e.g., projects), so that k 1 + k k A = k. The producton functon can then 15 Whle we restrct to an economy wth backyard producton on the part of agents, for smplcty, the analyss drectly extends to a frm-level producton economy. 25

26 be defned as the output n state s gven captal allocaton K: f(s, K), s. 16 Note that, by allowng for multple technologcal actvtes (A 2), ths formulaton allows for some control of the agents over the dstrbuton of captal across actvtes and hence over the probablty dstrbuton of outcomes, that s, over producton rsk. Wth ths technology n place the equlbrum analyss of centralzed clearng and OTC economes can be extended to producton. For nstance, the budget constrants n the economy wth a centralzed clearng mechansm become: x 0 + j qj z j + q (z )z = w 0 k { x 1(s) = max w1(s) + } j Rj z j + R(s)z + f(s, K ), (1 α) w1(s) εz (38) and agent chooses a non-negatve portfolo (z+, j z, s.t. z+z j = 0) as well as a non-negatve captal allocaton K. Budget constrants n the OTC economes are smlarly formulated. It s easy to show that, n the producton economy, 1. A centralzed clearng mechansm contnues to decentralze constraned Pareto effcent allocatons; and 2. The generc neffcency of OTC markets manfests tself as over-producton or n other words undertakng of excessve producton rsk. An example of ths neffcent rsk-takng s the possble effect of credt default swaps sold by A.I.G. to a large number of fnancal frms n the Unted States and the Europe, effectvely nsurng tal rsk of corporate bond and loan portfolos and mortgage-backed securtes. Ths s tantamount to sellng nsurance on economy-wde default rsk. Our model mples that n an OTC settng for sellng such nsurance, the nsurer would take on large and nadequately-collateralzed sellng of protecton on pools of default rsk; n turn, the nsured would feed the excessve creaton of the housng stock and corporate assets backng such pools of aggregate default rsk. To see ths n a transparent manner, we revst our example economy of Secton 2. Suppose that agents 1 have access to a producton technology, 16 We assume f s contnuously dfferentable, strongly ncreasng, and strctly quasconcave. 26

27 e.g., makng mortgages, that yelds per unt of nvestment f(g) n the good state and f(b) n the bad state, where the nvestment contans aggregate rsk n that f(g) > f(b). Then denotng the level of nvestment as k, agent 1 s maxmzaton problem s: max z 1,k w 1 0 k z 1 q+p [ w 1 (G) + f(g)k ] +(1 p) [ R + z 1 + f(b)k ] γ 2 var(x1 (s)), where var(x 1 (s)) = p(1 p)[w 1 (G) + f(g)k R + z 1 f(b)k] 2. Then, for a gven level of nsurance z 1, the frst-order condton for agent 1 s nvestment decson mples that k(z 1 ) = [pf(g) + (1 p)f(b) 1] γp(1 p) [f(g) f(b)] 2 [w1 (G) R + z 1 ] [f(g) f(b)]. Intutvely, the nvestment s more attractve the greater s ts net present value (pf(g) + (1 p)f(b) 1), and greater s the extent of nsurance and ts qualty (R + z 1 ) as nsurance lowers the attendant rsk of the nvestment. Now, assumng the nvestment s ndeed net present value, nsurance s desrable up to an extent. It reduces rsk of the producer (agent 1) and facltates greater nvestment n the economy. However, as s clear from the above maxmzaton, agent 1 does not take account of the fact that n case nsurance s assocated wth default of the nsurer (agent 3), there may be deadweght costs (ɛz 3 whenever z 3 > w 3 (B)) to facltatng producton n the economy. On the other sde, the nsurer s unable to commt not to default gven the attracton of collectng rsk premum upfront and defaultng on nsurance ex post. As explaned n last remarks of Secton 2, default could be restrcted (and f t be Pareto effcent, even elmnated) by requrng that nsurers sutably (possbly fully) collateralze nsurance sold. Dong so would restrct leverage n the economy and ensure productve effcency n that nvestments take account of deadweght costs of rsk transfers nvolved n managng the rsk of nvestments. We leave the detaled analyss of the full-blown producton economy, notng that centralzed clearng can n fact acheve the outcome that planner would produce even n decentralzed markets. 27

28 5 Dscusson 5.1 Interpretng default and bankruptcy costs A central feature of our modelng technology was the strategc nature of default sell nsurance today and default tomorrow and the ex-post costs assocated wth such default. It s useful to nterpret ths feature n vew of practcal settngs n whch fnancal frms trade. Agan, the example wth A.I.G. as the protagonst s useful. A.I.G. had traders (specfcally, at A.I.G. Fnancal Products) who were engaged n the busness of sellng nsurance through synthetc credt default swaps on portfolos of mortgages and corporate loans. Ther ncentve to sell a large quantty of such swaps s as n the model to collect premums upfront and get pad salares and bonuses based on these premums. The result was a hghly levered bet of A.I.G. on the tal rsk of the economy, that s, the lkelhood of default of A.I.G. n case aggregate rsk materalzed was rather large. Indeed, A.I.G. as an enterprse tself suffered substantal costs of the resultng default on these swaps. These costs can be nterpreted as the parameter ɛ n the model. However, due to lmted lablty, these costs were not borne by traders who sold the swaps but by rest of A.I.G. s busnesses (such as lfe and property nsurance) whose franchse value s at least n part beng deployed to pay off A.I.G. s (non baled-out) postons. In contrast to ths example, our modelng of default had the same agent sellng large quanttes of nsurance, defaultng ex post and sufferng the bankruptcy costs. However, as seen n our examples and formal analyss, when these costs (ε) were small, default moral hazard became a relevant concern, and n turn, nduced counterparty rsk externalty. Ths case s more n the sprt of the A.I.G. example where traders bore only a small cost n case default materalzed. It should be noted that whle we have focused on centralzed clearng and exchange as mechansms to elmnate the counterparty rsk externalty, another possble remedy s to drectly address the ssue of default moral hazard. Ths would requre the regulator to ncrease the bankruptcy costs suffered by defaultng fnancal frms, e.g., by mposng state-contngent penaltes. To the extent such penaltes are restrcted by lmted lablty, our analyss hghlghts that mprovng tradng nfrastructure through centralzed clearng can serve as an mportant part of regulatory desgn to contan systemc rsk and leverage. 28

Counterparty risk externality: Centralized versus over-the-counter markets

Counterparty risk externality: Centralized versus over-the-counter markets Counterparty rsk externalty: Centralzed versus over-the-counter markets Vral Acharya NYU-Stern, CEPR and NBER vacharya@stern.nyu.edu Alberto Bsn NYU and NBER alberto.bsn@nyu.edu Aprl 2011 We are grateful

More information

Centralized versus Over-The-Counter Markets

Centralized versus Over-The-Counter Markets Centralzed versus Over-The-Counter Markets Vral Acharya London Busness School, NYU-Stern, CEPR and NBER vacharya@stern.nyu.edu Alberto Bsn NYU and NBER alberto.bsn@nyu.edu December 23, 2009 We are grateful

More information

Problem Set 6 Finance 1,

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

More information

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

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

More information

Price and Quantity Competition Revisited. Abstract

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

More information

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

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

More information

Counterparty risk externality: Centralized versus over-the-counter markets. Presentation at Stanford Macro, April 2011

Counterparty risk externality: Centralized versus over-the-counter markets. Presentation at Stanford Macro, April 2011 : Centralized versus over-the-counter markets Viral Acharya Alberto Bisin NYU-Stern, CEPR and NBER NYU and NBER Presentation at Stanford Macro, April 2011 Introduction OTC markets have often been at the

More information

Elements of Economic Analysis II Lecture VI: Industry Supply

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

More information

CS 286r: Matching and Market Design Lecture 2 Combinatorial Markets, Walrasian Equilibrium, Tâtonnement

CS 286r: Matching and Market Design Lecture 2 Combinatorial Markets, Walrasian Equilibrium, Tâtonnement CS 286r: Matchng and Market Desgn Lecture 2 Combnatoral Markets, Walrasan Equlbrum, Tâtonnement Matchng and Money Recall: Last tme we descrbed the Hungaran Method for computng a maxmumweght bpartte matchng.

More information

Taxation and Externalities. - Much recent discussion of policy towards externalities, e.g., global warming debate/kyoto

Taxation and Externalities. - Much recent discussion of policy towards externalities, e.g., global warming debate/kyoto Taxaton and Externaltes - Much recent dscusson of polcy towards externaltes, e.g., global warmng debate/kyoto - Increasng share of tax revenue from envronmental taxaton 6 percent n OECD - Envronmental

More information

Clearing Notice SIX x-clear Ltd

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

More information

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

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

More information

UNIVERSITY OF NOTTINGHAM

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

More information

Consumption Based Asset Pricing

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

More information

Applications of Myerson s Lemma

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

More information

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

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

More information

Economics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent.

Economics 1410 Fall Section 7 Notes 1. Define the tax in a flexible way using T (z), where z is the income reported by the agent. Economcs 1410 Fall 2017 Harvard Unversty Yaan Al-Karableh Secton 7 Notes 1 I. The ncome taxaton problem Defne the tax n a flexble way usng T (), where s the ncome reported by the agent. Retenton functon:

More information

Prospect Theory and Asset Prices

Prospect Theory and Asset Prices Fnance 400 A. Penat - G. Pennacch Prospect Theory and Asset Prces These notes consder the asset prcng mplcatons of nvestor behavor that ncorporates Prospect Theory. It summarzes an artcle by N. Barbers,

More information

Online Appendix for Merger Review for Markets with Buyer Power

Online Appendix for Merger Review for Markets with Buyer Power Onlne Appendx for Merger Revew for Markets wth Buyer Power Smon Loertscher Lesle M. Marx July 23, 2018 Introducton In ths appendx we extend the framework of Loertscher and Marx (forthcomng) to allow two

More information

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

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

More information

Appendix - Normally Distributed Admissible Choices are Optimal

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

More information

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

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

More information

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

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

More information

Stochastic ALM models - General Methodology

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

More information

Two Period Models. 1. Static Models. Econ602. Spring Lutz Hendricks

Two Period Models. 1. Static Models. Econ602. Spring Lutz Hendricks Two Perod Models Econ602. Sprng 2005. Lutz Hendrcks The man ponts of ths secton are: Tools: settng up and solvng a general equlbrum model; Kuhn-Tucker condtons; solvng multperod problems Economc nsghts:

More information

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers

II. Random Variables. Variable Types. Variables Map Outcomes to Numbers II. Random Varables Random varables operate n much the same way as the outcomes or events n some arbtrary sample space the dstncton s that random varables are smply outcomes that are represented numercally.

More information

MULTIPLE CURVE CONSTRUCTION

MULTIPLE CURVE CONSTRUCTION MULTIPLE CURVE CONSTRUCTION RICHARD WHITE 1. Introducton In the post-credt-crunch world, swaps are generally collateralzed under a ISDA Master Agreement Andersen and Pterbarg p266, wth collateral rates

More information

Equilibrium in Prediction Markets with Buyers and Sellers

Equilibrium in Prediction Markets with Buyers and Sellers Equlbrum n Predcton Markets wth Buyers and Sellers Shpra Agrawal Nmrod Megddo Benamn Armbruster Abstract Predcton markets wth buyers and sellers of contracts on multple outcomes are shown to have unque

More information

2. Equlibrium and Efficiency

2. Equlibrium and Efficiency . Equlbrum and Effcency . Introducton competton and effcency Smt s nvsble and model of compettve economy combne ndependent decson-makng of consumers and frms nto a complete model of te economy exstence

More information

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed.

Final Exam. 7. (10 points) Please state whether each of the following statements is true or false. No explanation needed. Fnal Exam Fall 4 Econ 8-67 Closed Book. Formula Sheet Provded. Calculators OK. Tme Allowed: hours Please wrte your answers on the page below each queston. (5 ponts) Assume that the rsk-free nterest rate

More information

Single-Item Auctions. CS 234r: Markets for Networks and Crowds Lecture 4 Auctions, Mechanisms, and Welfare Maximization

Single-Item Auctions. CS 234r: Markets for Networks and Crowds Lecture 4 Auctions, Mechanisms, and Welfare Maximization CS 234r: Markets for Networks and Crowds Lecture 4 Auctons, Mechansms, and Welfare Maxmzaton Sngle-Item Auctons Suppose we have one or more tems to sell and a pool of potental buyers. How should we decde

More information

Tests for Two Ordered Categorical Variables

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

More information

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

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

More information

Quiz on Deterministic part of course October 22, 2002

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

More information

Ch Rival Pure private goods (most retail goods) Non-Rival Impure public goods (internet service)

Ch Rival Pure private goods (most retail goods) Non-Rival Impure public goods (internet service) h 7 1 Publc Goods o Rval goods: a good s rval f ts consumpton by one person precludes ts consumpton by another o Excludable goods: a good s excludable f you can reasonably prevent a person from consumng

More information

THE ECONOMICS OF TAXATION

THE ECONOMICS OF TAXATION THE ECONOMICS OF TAXATION Statc Ramsey Tax School of Economcs, Xamen Unversty Fall 2015 Overvew of Optmal Taxaton Combne lessons on ncdence and effcency costs to analyze optmal desgn of commodty taxes.

More information

ECON 4921: Lecture 12. Jon Fiva, 2009

ECON 4921: Lecture 12. Jon Fiva, 2009 ECON 4921: Lecture 12 Jon Fva, 2009 Roadmap 1. Introducton 2. Insttutons and Economc Performance 3. The Frm 4. Organzed Interest and Ownershp 5. Complementarty of Insttutons 6. Insttutons and Commtment

More information

General Examination in Microeconomic Theory. Fall You have FOUR hours. 2. Answer all questions

General Examination in Microeconomic Theory. Fall You have FOUR hours. 2. Answer all questions HARVARD UNIVERSITY DEPARTMENT OF ECONOMICS General Examnaton n Mcroeconomc Theory Fall 2010 1. You have FOUR hours. 2. Answer all questons PLEASE USE A SEPARATE BLUE BOOK FOR EACH QUESTION AND WRITE THE

More information

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

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

More information

Credit Default Swaps in General Equilibrium: Spillovers, Credit Spreads, and Endogenous Default

Credit Default Swaps in General Equilibrium: Spillovers, Credit Spreads, and Endogenous Default Credt Default Swaps n General Equlbrum: Spllovers, Credt Spreads, and Endogenous Default R. Matthew Darst Ehraz Refayet June 2, 2016 Keywords: credt dervatves, spllovers, nvestment, default rsk. JEL Classfcaton:

More information

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS

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

More information

MgtOp 215 Chapter 13 Dr. Ahn

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

More information

Highlights of the Macroprudential Report for June 2018

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

More information

Wages as Anti-Corruption Strategy: A Note

Wages as Anti-Corruption Strategy: A Note DISCUSSION PAPER November 200 No. 46 Wages as Ant-Corrupton Strategy: A Note by dek SAO Faculty of Economcs, Kyushu-Sangyo Unversty Wages as ant-corrupton strategy: A Note dek Sato Kyushu-Sangyo Unversty

More information

ISE High Income Index Methodology

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

More information

4. Greek Letters, Value-at-Risk

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

More information

4: SPOT MARKET MODELS

4: SPOT MARKET MODELS 4: SPOT MARKET MODELS INCREASING COMPETITION IN THE BRITISH ELECTRICITY SPOT MARKET Rchard Green (1996) - Journal of Industral Economcs, Vol. XLIV, No. 2 PEKKA SULAMAA The obect of the paper Dfferent polcy

More information

Optimal Service-Based Procurement with Heterogeneous Suppliers

Optimal Service-Based Procurement with Heterogeneous Suppliers Optmal Servce-Based Procurement wth Heterogeneous Supplers Ehsan Elah 1 Saf Benjaafar 2 Karen L. Donohue 3 1 College of Management, Unversty of Massachusetts, Boston, MA 02125 2 Industral & Systems Engneerng,

More information

Answers to exercises in Macroeconomics by Nils Gottfries 2013

Answers to exercises in Macroeconomics by Nils Gottfries 2013 . a) C C b C C s the ntercept o the consumpton uncton, how much consumpton wll be at zero ncome. We can thnk that, at zero ncome, the typcal consumer would consume out o hs assets. The slope b s the margnal

More information

REFINITIV INDICES PRIVATE EQUITY BUYOUT INDEX METHODOLOGY

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

More information

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

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

More information

The Efficiency of Uniform- Price Electricity Auctions: Evidence from Bidding Behavior in ERCOT

The Efficiency of Uniform- Price Electricity Auctions: Evidence from Bidding Behavior in ERCOT The Effcency of Unform- Prce Electrcty Auctons: Evdence from Bddng Behavor n ERCOT Steve Puller, Texas A&M (research jont wth Al Hortacsu, Unversty of Chcago) Tele-Semnar, March 4, 2008. 1 Outlne of Presentaton

More information

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

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

More information

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

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

More information

Tests for Two Correlations

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

More information

Finance 402: Problem Set 1 Solutions

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

More information

Teaching Note on Factor Model with a View --- A tutorial. This version: May 15, Prepared by Zhi Da *

Teaching Note on Factor Model with a View --- A tutorial. This version: May 15, Prepared by Zhi Da * Copyrght by Zh Da and Rav Jagannathan Teachng Note on For Model th a Ve --- A tutoral Ths verson: May 5, 2005 Prepared by Zh Da * Ths tutoral demonstrates ho to ncorporate economc ves n optmal asset allocaton

More information

EDC Introduction

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

More information

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

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

More information

Tradable Emissions Permits in the Presence of Trade Distortions

Tradable Emissions Permits in the Presence of Trade Distortions 85 Tradable Emssons Permts n the Presence of Trade Dstortons Shnya Kawahara Abstract Ths paper nvestgates how trade lberalzaton affects domestc emssons tradng scheme n a poltcal economy framework. Developng

More information

Problem Set #4 Solutions

Problem Set #4 Solutions 4.0 Sprng 00 Page Problem Set #4 Solutons Problem : a) The extensve form of the game s as follows: (,) Inc. (-,-) Entrant (0,0) Inc (5,0) Usng backwards nducton, the ncumbent wll always set hgh prces,

More information

Jeffrey Ely. October 7, This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License.

Jeffrey Ely. October 7, This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License. October 7, 2012 Ths work s lcensed under the Creatve Commons Attrbuton-NonCommercal-ShareAlke 3.0 Lcense. Recap We saw last tme that any standard of socal welfare s problematc n a precse sense. If we want

More information

Chapter 15: Debt and Taxes

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

More information

GOODS AND FINANCIAL MARKETS: IS-LM MODEL SHORT RUN IN A CLOSED ECONOMIC SYSTEM

GOODS AND FINANCIAL MARKETS: IS-LM MODEL SHORT RUN IN A CLOSED ECONOMIC SYSTEM GOODS ND FINNCIL MRKETS: IS-LM MODEL SHORT RUN IN CLOSED ECONOMIC SSTEM THE GOOD MRKETS ND IS CURVE The Good markets assumpton: The producton s equal to the demand for goods Z; The demand s the sum of

More information

OPERATIONS RESEARCH. Game Theory

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

More information

Evaluating Performance

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

More information

Problems to be discussed at the 5 th seminar Suggested solutions

Problems to be discussed at the 5 th seminar Suggested solutions ECON4260 Behavoral Economcs Problems to be dscussed at the 5 th semnar Suggested solutons Problem 1 a) Consder an ultmatum game n whch the proposer gets, ntally, 100 NOK. Assume that both the proposer

More information

Lecture 7. We now use Brouwer s fixed point theorem to prove Nash s theorem.

Lecture 7. We now use Brouwer s fixed point theorem to prove Nash s theorem. Topcs on the Border of Economcs and Computaton December 11, 2005 Lecturer: Noam Nsan Lecture 7 Scrbe: Yoram Bachrach 1 Nash s Theorem We begn by provng Nash s Theorem about the exstance of a mxed strategy

More information

Principles of Finance

Principles of Finance Prncples of Fnance Grzegorz Trojanowsk Lecture 6: Captal Asset Prcng Model Prncples of Fnance - Lecture 6 1 Lecture 6 materal Requred readng: Elton et al., Chapters 13, 14, and 15 Supplementary readng:

More information

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

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

More information

INTRODUCTION TO MACROECONOMICS FOR THE SHORT RUN (CHAPTER 1) WHY STUDY BUSINESS CYCLES? The intellectual challenge: Why is economic growth irregular?

INTRODUCTION TO MACROECONOMICS FOR THE SHORT RUN (CHAPTER 1) WHY STUDY BUSINESS CYCLES? The intellectual challenge: Why is economic growth irregular? INTRODUCTION TO MACROECONOMICS FOR THE SHORT RUN (CHATER 1) WHY STUDY BUSINESS CYCLES? The ntellectual challenge: Why s economc groth rregular? The socal challenge: Recessons and depressons cause elfare

More information

Risk and Return: The Security Markets Line

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

More information

Bid-auction framework for microsimulation of location choice with endogenous real estate prices

Bid-auction framework for microsimulation of location choice with endogenous real estate prices Bd-aucton framework for mcrosmulaton of locaton choce wth endogenous real estate prces Rcardo Hurtuba Mchel Berlare Francsco Martínez Urbancs Termas de Chllán, Chle March 28 th 2012 Outlne 1) Motvaton

More information

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

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

More information

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

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

More information

Solution of periodic review inventory model with general constrains

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

More information

EPPE6024: Macroeconomics Lecture 2: Aggregate Demand (AD), Aggregate Supply (AS), and Business Cycle

EPPE6024: Macroeconomics Lecture 2: Aggregate Demand (AD), Aggregate Supply (AS), and Business Cycle EE6024: Macroeconomcs Lecture 2: Aggregate Demand (AD), Aggregate Suppl (AS), and Busness Ccle The Goods Market: the IS curve IS curve shows the combnaton of the nterest rates and output level at whch

More information

Spring 2018 Social Sciences 7418 University of Wisconsin-Madison. Transactions and Portfolio Crowding Out

Spring 2018 Social Sciences 7418 University of Wisconsin-Madison. Transactions and Portfolio Crowding Out Economcs 44 Menze D. Cnn Sprng 8 Socal Scences 748 Unversty of Wsconsn-Madson. Standard IS-LM Transactons and Portfolo Crowdng Out Transactons crowdng out of nvestment s te reducton n nvestment attrbutable

More information

Microeconomics: BSc Year One Extending Choice Theory

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

More information

Participation and unbiased pricing in CDS settlement mechanisms

Participation and unbiased pricing in CDS settlement mechanisms Partcpaton and unbased prcng n CDS settlement mechansms Ahmad Pevand February 2017 Abstract The centralzed market for the settlement of credt default swaps (CDS), whch governs more than $10 trllon s worth

More information

Global Optimization in Multi-Agent Models

Global Optimization in Multi-Agent Models Global Optmzaton n Mult-Agent Models John R. Brge R.R. McCormck School of Engneerng and Appled Scence Northwestern Unversty Jont work wth Chonawee Supatgat, Enron, and Rachel Zhang, Cornell 11/19/2004

More information

Mechanisms for Efficient Allocation in Divisible Capacity Networks

Mechanisms for Efficient Allocation in Divisible Capacity Networks Mechansms for Effcent Allocaton n Dvsble Capacty Networks Antons Dmaks, Rahul Jan and Jean Walrand EECS Department Unversty of Calforna, Berkeley {dmaks,ran,wlr}@eecs.berkeley.edu Abstract We propose a

More information

Random Variables. b 2.

Random Variables. b 2. Random Varables Generally the object of an nvestgators nterest s not necessarly the acton n the sample space but rather some functon of t. Techncally a real valued functon or mappng whose doman s the sample

More information

Lecture Note 2 Time Value of Money

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

More information

ON THE DYNAMICS OF GROWTH AND FISCAL POLICY WITH REDISTRIBUTIVE TRANSFERS

ON THE DYNAMICS OF GROWTH AND FISCAL POLICY WITH REDISTRIBUTIVE TRANSFERS O THE DYAMICS OF GROWTH AD FISCAL POLICY WITH REDISTRIBUTIVE TRASFERS by* Hyun Park Unversty of Essex and Apostols Phlppopoulos Athens Unversty of Economcs and Busness May 25, 999 Abstract: Ths paper formalzes

More information

Least Cost Strategies for Complying with New NOx Emissions Limits

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

More information

Market Completeness: How Options Affect Hedging and Investments in the Electricity Sector 1

Market Completeness: How Options Affect Hedging and Investments in the Electricity Sector 1 Market Completeness: How Optons Affect Hedgng and Investments n the Electrcty Sector 1 Bert Wllems TILEC and CenteR, Tlburg Unversty, the Netherlands b.r.r.wllems@uvt.nl Jors Morbee European Commsson 2,

More information

Political Economy and Trade Policy

Political Economy and Trade Policy Poltcal Economy and Trade Polcy Motvaton When asked why no free trade?, most nternatonal economsts respond t must be poltcs In representatve democraces, trade polcy shaped not only by general electorate,

More information

Macroeconomic Theory and Policy

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

More information

Benefit-Cost Analysis

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

More information

Mathematical Thinking Exam 1 09 October 2017

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

More information

Introduction. Chapter 7 - An Introduction to Portfolio Management

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

More information

Advisory. Category: Capital

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

More information

Scribe: Chris Berlind Date: Feb 1, 2010

Scribe: Chris Berlind Date: Feb 1, 2010 CS/CNS/EE 253: Advanced Topcs n Machne Learnng Topc: Dealng wth Partal Feedback #2 Lecturer: Danel Golovn Scrbe: Chrs Berlnd Date: Feb 1, 2010 8.1 Revew In the prevous lecture we began lookng at algorthms

More information

3 Portfolio Management

3 Portfolio Management Mathematcal Modelng Technques 69 3 ortfolo Management If all stock predctons were perfect, portfolo management would amount to the transfer of funds to the commodty that promses the hghest return n the

More information

Politicas macroeconomicas, handout, Miguel Lebre de Freitas

Politicas macroeconomicas, handout, Miguel Lebre de Freitas 6 Debt overhang Index: 6 Debt overhang... 6. Introducton... 6. When the soveregn s nsolvent... 6.. Why lqudty problems?... 6.. Man assumptons... 6..3 The determnstc case...3 6..4 Maxmum expected repayment

More information

An Efficient Nash-Implementation Mechanism for Divisible Resource Allocation

An Efficient Nash-Implementation Mechanism for Divisible Resource Allocation SUBMITTED TO IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 1 An Effcent Nash-Implementaton Mechansm for Dvsble Resource Allocaton Rahul Jan IBM T.J. Watson Research Center Hawthorne, NY 10532 rahul.jan@us.bm.com

More information

Dynamic Analysis of Knowledge Sharing of Agents with. Heterogeneous Knowledge

Dynamic Analysis of Knowledge Sharing of Agents with. Heterogeneous Knowledge Dynamc Analyss of Sharng of Agents wth Heterogeneous Kazuyo Sato Akra Namatame Dept. of Computer Scence Natonal Defense Academy Yokosuka 39-8686 JAPAN E-mal {g40045 nama} @nda.ac.jp Abstract In ths paper

More information

ECE 586GT: Problem Set 2: Problems and Solutions Uniqueness of Nash equilibria, zero sum games, evolutionary dynamics

ECE 586GT: Problem Set 2: Problems and Solutions Uniqueness of Nash equilibria, zero sum games, evolutionary dynamics Unversty of Illnos Fall 08 ECE 586GT: Problem Set : Problems and Solutons Unqueness of Nash equlbra, zero sum games, evolutonary dynamcs Due: Tuesday, Sept. 5, at begnnng of class Readng: Course notes,

More information

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

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

More information