Commodity money equilibrium in a convex trading post economy with transaction costs
|
|
- Andrea Malone
- 8 years ago
- Views:
Transcription
1 Avalable onlne at Journal of Mathematcal Economcs 44 (008) Commodty money equlbrum n a convex tradng post economy wth transacton costs Ross M. Starr Economcs Department 0508, Unversty of Calforna, San Dego, 9500 Glman Dr., La Jolla, CA , USA Receved 8 June 006; receved n revsed form December 007; accepted 7 December 007 Avalable onlne 7 January 008 Abstract Exstence and effcency of general equlbrum wth commodty money s nvestgated n an economy where N commodtes are traded at N(N )/ commodty-parwse tradng posts. Trade s a resource-usng actvty recoverng transacton costs through the spread between bd (wholesale) and ask (retal) prces. Budget constrants, enforced at each tradng post separately, mply demand for a carrer of value between tradng posts. Exstence of general equlbrum s establshed under conventonal convexty and contnuty condtons whle structurng the prce space to account for dstnct bd and ask prce ratos. Commodty money flows are dentfed as the dfference between gross and net nter-post trades. 008 Elsever B.V. All rghts reserved. JEL classfcaton: C6; D5; E40 Keywords: General equlbrum; Money; Transacton cost; Tradng post; Bd; Ask; Commodty money [An] mportant and dffcult queston...[s] not answered by the approach taken here: the ntegraton of money n the theory of value... Gerard Debreu, Theory of Value (959). Introducton It s well-known that the Arrow Debreu model of Walrasan general equlbrum cannot account for money. Professor Hahn (98) wrtes The most serous challenge that the exstence of money poses to the theorst s ths: the best developed model of the economy cannot fnd room for t. The best developed model s, of course, the Arrow Debreu verson of a Walrasan general equlbrum. A frst, and...dffcult...task s to fnd an alternatve constructon wthout... sacrfcng the clarty and logcal coherence...of Arrow Debreu. Ths paper pursues development of foundatons for a theory of money based on elaboratng the detal structure of an Arrow Debreu model. The elementary frst step s to create a general equlbrum where there s a well-defned demand Tel.: ; fax: E-mal address: rstarr@ucsd.edu /$ see front matter 008 Elsever B.V. All rghts reserved. do:0.06/j.jmateco
2 44 R.M. Starr / Journal of Mathematcal Economcs 44 (008) for a medum of exchange a carrer of value between transactons. Ths s arranged by replacng the sngle budget constrant of the Arrow Debreu model wth the requrement that the typcal household or frm pays for ts purchases drectly at each of many separate transactons. Transactons take place at commodty-parwse tradng posts. Then a well-defned demand for meda of exchange (commodty mones, not necessarly unque) arses endogenously as an outcome of the market equlbrum. The use of meda of exchange s partcularly evdent when the structure of demands s characterzed by an absence of double concdence of wants (Jevons, 875). Meda of exchange are characterzed as the carrer of value between transactons (not fulfllng fnal demands or nput requrements themselves), the dfference between gross and net trades. Related general equlbrum models wth transacton cost nclude Foley (970); Hahn (97, 973); Kurz (974); Starrett (973); Starr (003c). The tradng post model s ntended to provde a parsmonous addton to the Arrow Debreu model suffcent to generate a theory of money. The monetary structure of trade s shown to be a consequence of the prce theory general equlbrum, not a separate assumpton... Structure of the tradng post model In the tradng post model, transactons take place at commodty-parwse tradng posts (Shapley and Shubk, 977; Walras, 874; Wcksell, 936) wth budget constrants (you pay for what you get n commodty terms) enforced at each post. Prces bd (wholesale) and ask (retal) are quoted as commodty rates of exchange. Trade s arranged by frms, typcally buyng at bd prces and sellng at ask prces, ncurrng costs (resources used up n the transacton process) and recoupng them through the bd/ask spread. Market equlbrum occurs when bd and ask prces at each tradng post have adjusted so that all tradng posts clear... Structure of the proof The structure of the proof of exstence of general equlbrum follows the approach of Arrow and Debreu (954); Debreu (959); Starr (997). The usual assumptons of contnuty, convexty (tradtonal but by no means nnocuous n ths context), and no free lunch/rreversblty are used. The prce space at a tradng post for exchange of one good at bd prce for another at ask prce s the unt -smplex, allowng any possble nonnegatve relatve prce rato. The prce space for the economy as a whole then s a Cartesan product of unt -smplces. The attanable set of tradng post transactons s compact. As n Arrow and Debreu (954), the model consders transacton plans of frms and households artfcally bounded n a compact set ncludng the attanable set as a proper subset. Prce adjustment to a fxed pont wth market clearng leads to equlbrum of the artfcally bounded economy. But the artfcal bounds are not a bndng constrant n equlbrum. The equlbrum of the artfcally bounded economy s as well an equlbrum of the orgnal economy..3. Concluson: The medum(a) of exchange The general equlbrum specfes each household and frm s tradng plan. At the concluson of trade, each has acheved a net trade. Gross trades nclude tradng actvty that goes to payng for acqustons and acceptng payment for sales rather than drectly mplementng desred net trades. It s easy to calculate gross trades and net trades at equlbrum. For households, the dfference gross trades mnus net trades represents tradng actvty n carrers of value between trades, meda of exchange (perhaps ncludng some arbtrage). Snce frms perform a market-makng functon wthn tradng posts, dentfcaton of meda of exchange used by frms s not so straghtforward. After nettng out ntra-post trades, the remanng dfference between nter-post gross and net trades represents the frms trade flows of meda of exchange. In some examples (see Starr, 003a,b, 008) the medum of exchange may be a sngle specalzed The present model s an alternatve to the fat money models of overlappng generatons (Wallace, 980) and of search (Kyotak and Wrght, 989). There a unque unbacked fat money of postve value s typcally assumed and presented as a bubble. The models allow, as well, a nonmonetary no-trade equlbrum where the fat money has a value of zero. In the present model, the exstence of meda of exchange and ther values are endogenously determned. It s possble to accommodate n an Arrow Debreu settng an ntrnscally worthless paper money tradng at a postve value and used as a common medum of exchange. The ratonale s that taxes payable n paper money provde backng for a postve value, and low transacton cost ensures use as medum of exchange (Goldberg, 005; Smth, 776; Starr, 003a,b). Consstent wth Ockham s razor.
3 R.M. Starr / Journal of Mathematcal Economcs 44 (008) commodty (the common medum of exchange). The approach of the present model s ntended to provde a Walrasan general equlbrum theory of (commodty) money as a medum of exchange. It s suffcently general to nclude both a sngle common medum of exchange and many goods smultaneously actng as meda of exchange. When wll meda of exchange actually be used n the tradng post economy? Two condtons seem to be suffcent: desrablty of trade, net of transacton costs; absence of double concdence of wants. The logc s smple. If trade s desrable at prevalng equlbrum prces (net of transacton costs ncludng the transacton cost of meda of exchange) and there s no double concdence of wants, then n order for trade to proceed fulfllng the budget constrant at each tradng post separately, meda of exchange wll be used as carrers of value between tradng posts. However, the absence of double concdence of wants depends on prevalng prces as well as endowments and technology. It s problematc to characterze necessary and suffcent ntal condtons so that absence of double concdence s fulflled. Hence, the relance on smple llustratve examples below. Nevertheless, the examples are ntended to be robust. The parametrc examples should be contaned n an open subset of parameter space where the results of the example reman vald. Conversely, there are two cases where tradng post equlbra wll have no use of meda of exchange: full double concdence of wants (subject to drect trade experencng no hgher transacton costs than ndrect trade); and a no-trade equlbrum. Agan, necessary and suffcent condtons, a pror, to fulfll these characterstcs are not mmedately evdent.. Tradng posts There are N tradeable goods denoted,,...,n. They are traded for one another parwse at tradng posts. {, j} (or equvalently {j, }) denotes the tradng post where goods and j are traded for one another. There are N(N )/ dstnct tradng posts. 3. Prces Goods are traded drectly for one another wthout dstngushng any sngle good as money. Let Δ represent the unt -smplex. At tradng post {, j}, the (relatve) ask prce of good and (relatve) bd prce of good j are represented as p {,j} (a {,j} j ) Δ. In a (mnor) abuse of notaton, the orderng of and j n the superscrpt on p wll matter. The relatve ask prce of good j and bd prce of are represented as p {j,} (a {,j} j,b {,j} ) Δ. Thus, there are two operatve prce -smplces at each tradng post. The full prce space then s Δ N(N ), the N(N )- fold Cartesan product of Δ wth tself; ts typcal element s p Δ N(N ). Then the ask prce of at {, j} n unts of j s a {,j} /b {,j} j and the bd prce of s b {,j} /a {,j} j. Prces can then be read as rates of exchange between goods, dstngushng between bd (sellng or wholesale) prces and ask (buyng or retal) prces. Thus the ask prce of a hamburger mght be 5.0 chocolate bars and the bd prce 3.0 chocolate bars. Note that the ask prce of a chocolate bar then s the nverse of the bd prce of a hamburger. That s, the ask prce of a chocolate bar s hamburger and the bd prce of a chocolate bar s 0. hamburger. 4. Budget constrants and tradng opportuntes The budget constrant s smply that at each parwse tradng post, at prevalng prces, n each transacton, payment s gven for goods receved. That s, at tradng post {, j}, an ask/bd prce par s quoted p {,j} (a {,j} j ) Δ expressng the ask prce of n terms of j and a bd prce of j n terms of. A frm or household s tradng plan (y, x) R N(N ) specfes the followng transactons at tradng post {, j}: y {,j} (at ask prces, retal) n, y {,j} j (at ask prces, retal) n j, x {,j} (at bd prces, wholesale) n, x {,j} j (at bd prces, wholesale) n j. Postve values of these transactons are purchases. Negatve values are sales. At each tradng post (of two goods) there are four quanttes to specfy n a tradng plan. Then the budget constrant facng frms and households at each tradng post s that value delvered must equal value receved. That s 0 = (a {,j} j ) (y {,j},x {,j} j ), 0 = (a {,j} j,b {,j} ) (y {,j} j,x {,j} ) (B) (B) says that purchases of at the bd prce are repad by sales of j at the ask prce, purchases of at the ask prce are repad by sales of j at the bd prce.
4 46 R.M. Starr / Journal of Mathematcal Economcs 44 (008) Gven a prce vector p Δ N(N ) the array of trades fulfllng (B) s the set of trades fulfllng the N(N ) local budget constrants at the tradng posts. Denote ths set M(p) {(y, x) R N(N ) (y, x) fulflls (B) at p for all, j =,...,N,= j} 5. Frms The heavy lftng n ths model s done by frms. They perform the market-makng functon, ncurrng transacton costs. The populaton of frms s a fnte set denoted F, wth typcal element f F. Thus, frm f s technology set may specfy that f s purchase of labor (retal) n exchange for on the {, labor} market and purchase of and j wholesale on the {, j} market allows f to sell and j (retal) on the {, j} market. That s how f can become a market-maker. If there s a suffcent dfference between bd and ask prces so that f can cover the cost of ts nputs wth a surplus left over, that surplus becomes f s profts, to be rebated to f s shareholders. 5.. Transacton and producton technology Frm f s technology set s Y f. We assume P.0 Y f R N(N ) The typcal element of Y f s (y f,x f ), a par of N(N )-dmensonal vectors. The N(N )-dmensonal vector y f represents f s transactons at ask (retal) prces; the N(N )-dmensonal vector x f represents f s transactons at bd (wholesale) prces. The -dmensonal vector y f {,j} represents f s transactons at ask (retal) prces at tradng post {, j}; the -dmensonal vector x f {,j} represents f s transactons at bd (wholesale) prces at tradng post {, j}. The typcal co-ordnates y f {,j},x f {,j} are f s acton wth respect to good at the {, j} tradng post. Snce f may act as a wholesaler/retaler/market-maker, entres anywhere n (y f {,j},x f {,j} ) may be postve or negatve subject of course to constrants of technology Y f and prces M(p). Ths dstngushes the frm from the typcal household. The typcal household can only sell at bd prces and buy at ask prces. The entry y f {,j}, represents f s actons at ask prces wth regard to good at tradng post {, j}. y f {,j} > 0 represents a purchase of at the {, j} tradng post (at the ask prce). y f {,j} < 0 represents a sale of at the ask prce. The entry x f {,j}, represents f s actons at bd prces wth regard to good at tradng post {, j}. x f {,j} > 0 represents a purchase of at the tradng post (at the bd prce). x f {,j} < 0 represents a sale of at the bd prce. A frm that s an actve market-maker at {, j} wll typcally buy at the bd prce and sell at the ask prce. A frm that s not a market-maker may have to pay retal lke the rest of us sellng at the bd prce and buyng at the ask prce. In addton to ndcatng the transacton possbltes, Y f ncludes the usual producton possbltes. The usual assumptons on producton technology apply. For each f F, assume P.I Y f s convex. P.II 0 Y f, where 0 ndcates the zero vector n R N(N ). P.III Y f s closed. The aggregate technology set s the sum of ndvdual frm technology sets. Y f F Y f. It fulflls the famlar no free lunch and rreversblty condtons. P.IV [(a)] f (y, x) Y and (y, x) /= 0, then y {,j} + x {,j} > 0 for some, j. [(b)] f (y, x) Y and (y, x) /= 0, then (y, x) / Y. Denote the ntal resource endowment of the economy as r R N +. Then we defne the attanable producton plans of the economy as Ŷ {(y, x) Y r j (y {,j} + x {,j} ) all =,,...,N}
5 R.M. Starr / Journal of Mathematcal Economcs 44 (008) Attanable producton plans for frm f can then be descrbed as Ŷ f { (y f,x f ) Y f there s (y k,x k ) Y k for each k F, k /= f, so that (y k,x k ) + (y f,x f. ) Ŷ k F,k /= f Lemma 5.. Assume P.0 P.IV. Then Ŷ and Ŷ f are closed, convex, and bounded. Proof. Starr (997), Theorems 8. and Frm maxmand and transactons functon The frm formulates a producton plan and a tradng plan. The frm s opportunty set for net yelds after transactons fulfllng budget s E f (p) [M(p) Y f ] R N(N ) +. That s, consder the frm s producton, purchase, and sale possbltes, net after payng for them, and what s left s the net yeld. Usng the sgn conventons we have adopted purchases are postve co-ordnates, sales are negatve co-ordnates the net yeld s then the negatve co-ordnates (supples) n a tradng plan that are not absorbed by payments due and the net purchases not requred as nputs to the frm. The supples are subtracted out, so the surpluses enter E f (p) as postve co-ordnates. A typcal element of these surplus supples s denoted (y,x ) E f (p). In ths notaton y and x are dummes, not actual marketed supples and demands. Now consder (y,x ) E f (p). In each good, the net surplus avalable n good s w f N j= (y {,j} + x {,j} ) and frm f s surplus s the vector w f of these co-ordnates. To gve ths noton a functonal notaton, let W(y,x ) w f descrbed here. There are N tradng posts where each good s traded, at N rates of exchange. The noton of proft s not well defned. In the absence of a sngle famly of well-defned prces, t s dffcult to characterze optmzng behavor for the frm. Fautes de meux we ll gve the frm a scalar maxmand wth argument p, y,x. Frm f s assumed to have a real-valued, contnuous maxmand v f (p; y,x ). We take v f to be strctly monotone and concave n (y,x ). Ths descrpton of v f ncludes as a specal case the usual frm proft functon (when p s suffcently unform across tradng posts that the usual noton of proft s well defned). The frm s optmzng choce (whch may not be well defned) then s G f (p) {argmaxv f (p; y,x ) E f (p)}. Ths results n the frm s market behavor (wthout any constrant requrng actons to stay n a bounded range) descrbed by H f (p) {(y, x) M(p) [(y, x) + (y,x )] Y f, (y,x ) G f (p)}. Ths marketed plan then results n the market and dvdend plan S f (p) {(y, x; w) (y, x) H f (p), [(y, x) + (y,x )] Y f, (y,x ) G f (p); w = W(y,x )} The logc of ths defnton s that (y,x ) 0 s the surplus left over after the frm f has performed accordng to ts technology and subject to prevalng prces. It s possble that S f (p) s not well defned, snce the opportunty set may be unbounded. In the lght of Lemma 5., there s a constant c>0 suffcently large so that for all f F, Ŷ f s strctly contaned n a closed ball, denoted B c of radus c centered at the orgn of R N(N ). Followng the technque of Arrow and Debreu (954), constraned market behavor for the frm wll consst of lmtng ts producton choces to Y f B c. Ths leads to the constraned surplus Ẽ f (p) [[M(p) B c ] [Y f B c ]] R N(N ) +. G f (p) {argmaxv f (p; y,x ) Ẽ f (p)}. H f (p) {(y, x) M(p) [(y, x) + (y,x )] Y f B c, (y,x ) G f (p)}.
6 48 R.M. Starr / Journal of Mathematcal Economcs 44 (008) The frm s constraned (to B c ) market behavor then s defned as S f (p) {(y, x; w) (y, x) H f (p), [(y, x) + (y,x )] Y f B c, (y,x ) G f (p); w = W(y,x )}. Lemma 5.. Assume P.0 P.IV. Then Ẽ f (p) s convex-valued, nonempty, upper and lower hem-contnuous. Proof. (Note to the reader: The notaton x o appears n two dstnct unrelated forms n ths proof. Usually as part of frm f s planned transactons, but later completely dstnctly n the quotaton from Green and Heller (98).) Upper hem-contnuty and convexty follow from closedness and convexty of the underlyng sets. 0 Ẽ f (p) always, so nonemptness s fulflled. Lower hem-contnuty requres some work. Let p ν p o,(y o,x o ) Ẽ f (p o ). We seek (y ν,x ν ) Ẽ f (p ν ) so that (y ν,x ν ) (y o,x o ). If (y o,x o ) = 0, exstence of (y ν,x ν ) (y o,x o ) s trvally satsfed. Suppose nstead (y o,x o ) 0 (the nequalty apples co-ordnatewse). Then n an ɛ-neghborhood of (y o,x o ), for ν suffcently large, we seek to show that there s (y ν,x ν ) Ẽ(p ν ). (y ν,x ν )sthe requred sequence. To demonstrate ths, note that Ẽ(p ν ) s defned as the ntersecton of a convex-valued correspondence lower hem-contnuous n p wth a constant convex set. When (y o,x o ) 0 and (y o,x o ) Ẽ f (p o ) t follows that the relatve nteror of Ẽ f (p o ) s nonempty. It s suffcent then to apply Green and Heller (98), p. 48, (8, lower), If γ,=,, are two l.h.c. convex-valued correspondences such that ntγ (x o ) ntγ (x o ) /=, then γ γ s l.h.c. at x o. Lemma 5.3. Assume P.0 P.IV. Then G f (p), H f (p), S f (p) are well defned, nonempty, upper hem-contnuous, and convex-valued for all p Δ N(N ). Proof. Note compactness of B c. Apply Theorem of the Maxmum, contnuty and concavty of v f. Lemma 5.4. Assume P.0 - P.IV. Let [ G f (p) + H f (p)] Ŷ f /=. Then [ G f (p) + H f (p)] [G f (p) + H f (p)]. Proof. Recall that B c strctly ncludes Ŷ f. Then the result follows from convexty of Y f and Ŷ f and concavty of v f (p; y,x ). The proof follows the model of Starr (997), Theorem 8.3. Let (y,x ) G f (p), (y,x ) H f (p), [(y,x ) + (y,x )] Ŷ f B c. Use a proof by contradcton. Suppose not. Then there s (y, x) Y f so that (y, x) (y o,x o ) = (y,x ), where v f (p; y,x ) >v f (p; y,x ), (y,x ) E f (p), and (y o,x o ) M(p). But convexty of Y f and concavty of v f mply that on the chord between (y,x ) and (y, x) there s [α(y,x ) + ( α)(y, x)] B c for α>0 where v f (p;[α(y,x ) + ( α)(y,x )]) > v f (p; y,x ). Ths s a contradcton Incluson of constraned supply n unconstraned supply (y, x; w) S f (p) mples (y, x) B c, a bounded set. w R N + s f s profts. By constructon there s K>0 so that w s contaned n the nonnegatve quadrant of a ball of radus K centered at the orgn, denoted B K R N +. Lemma 5.5. Let p Δ N(N ) such that S f (p) [Ŷ f B K ] /=. Then S f (p) s well defned and nonempty. Further S f (p) S f (p). Proof. Lemma Households There s a fnte set of households, H, wth typcal element h. 6.. Endowment and consumpton set h H has a possble consumpton set, taken for smplcty to be the nonnegatve quadrant of R N, R N +. h H s endowed wth r h >> 0 assumed to be strctly postve to avod boundary problems. h H has a share α hf 0 of frm f, so that h H αhf =.
7 6.. Trades and payment constrant R.M. Starr / Journal of Mathematcal Economcs 44 (008) h H chooses (y h,x h ) R N(N ) subject to the followng restrctons. A household always balances ts budget, sells wholesale and buys retal: () 0 x h{,j} for all, j. () y h{,j} 0 for all, j. () (y h,x h ) M(p) 6.3. Maxmand and demand Household h s share of profts from frm f s part of h s endowment and enters drectly nto consumpton. When the profts of all frms f F, w f n (y f,x f ; w f ), are well defned, f dstrbutes to shareholders w f, and h s consumpton of good s [ ] (v) c h r h + f F αhf w f + N j= x h{,j} + N j= y h{,j} However, prces p may be such that S f (p) s not well defned for some f. Then we may wsh to dscuss the constraned verson of (v), where w f comes from (y f,x f ; w f ) S f (p). (v ) c h r h + [ f F αhf w f ] + N j= x h{,j} + N j= y h{,j} In addton, h s consumpton must be nonnegatve. (v) c h 0. The nequalty apples co-ordnatewse. C.I For all h H, h s maxmand s the contnuous, quas-concave, real-valued, strctly monotone, utlty functon u h (c h ). u h : R N + R. h s planned transactons functon s defned as D h : Δ N(N ) R N#F R N(N ). Let w denote (w,w,w 3,...,w f,...,w #F ). D h (p, w) {(y h,x h ) R N(N ) (y h,x h ) maxmzes u h (c h ), subject to (), (), (), (v) and (v)}. However, D h (p, w) may not be well defned when opportunty sets are unbounded (when ask prces of some goods are zero) and w may not be well defned for p such that S f (p) s not well defned for some f. To treat ths ssue, let B K #F be the #F-fold Cartesan product of B K, and defne D h : Δ N(N ) B K #F B c. D h (p, w) {(y h,x h ) (y h,x h )maxmzes u h (c h ), subject to (), (), (), (v ), (v), and (y h,x h ) B c }. The restrcton to B c n ths defnton assures that D h (p) represents the result of optmzaton on a bounded set, and s well defned. Lemma 6.. Assume P.0 P.IV, C.I. Then D h (p, w) s nonempty, upper hem-contnuous and convex-valued, for all p Δ N(N ), w B K #F. The range of D h (p, w) s compact. For (p, w) such that (y h,x h ) <c for (some) (y h,x h ) D h (p, w), t follows that D h (p, w) D h (p, w). Proof. (Note to the reader: Ths proof ncludes an unfortunate confuson of notaton. c wthout superscrpt denotes a large real number ndcatng the radus of B c, a ball strctly contanng all attanable transactons of the typcal frm. c h and c (wth superscrpt) denote consumpton vectors.) Apply Theorem of the Maxmum, notng contnuty and quas-concavty of u h, convexty of constrant sets defned by () (v) or by (), (), (), (v ), (v). Incluson of D h (p, w) nd h (p, w) follows the pattern of Starr (997), Theorem 9.(b). Proof by contradcton. Suppose not. Then there s (y,x ) D h (p, w) wth assocated c so that u h (c ) >u h (c h ). But recall (y h,x h ) <c. On the chord between (y h,x h ) and (y,x ) there s [α(y,x ) + ( α)(y h,x h )], >α>0, fulfllng (), (), (), (v ), (v), and [α(y,x ) + ( α)(y h,x h )] =c so that u(αc + ( α)c h ) >u(c h ). Ths s a contradcton.
8 40 R.M. Starr / Journal of Mathematcal Economcs 44 (008) Excess demand Let (p, w ) Δ N(N ) B K #F. Constraned excess demand and dvdends at (p, w ) s defned as Z : Δ N(N ) B K #F RN(N ) B K #F. Z(p, w ) {( (y f,x f ) + D h (p, w ),w,w,...,w f,...,w #F ) (y f,x f,w f ) S f (p)}. f F h H Lemma 7.. Assume P.0 P.IV, and C.I. The range of Z s bounded. Z s upper hem-contnuous and convex-valued for all (p, w ) Δ N(N ) B K #F. Lemma 7.. (Walras Law): Let (p, w ) Δ N(N ) B K #F. Let (y, x, w) Z(p, w ). Then for each, j =,..., N, /= j, we have 0 = (a {,j} j ) (y {,j},x {,j} j ), 0 = (a {,j} j,b {,j} ) (y {,j} j,x {,j} ) (W) Proof. The element (y, x)of(y, x, w) Z(p, w ) s the sum of elements (y f,x f )of S f (p) and (y h,x h )of D h (p, w ) each of whch s subject to (B). 8. Equlbrum Let Ξ denote a compact convex subset of R N(N ) so that Ξ B K #F ((y {,},x {,} ),...,(y {,j},x {,j} j ),...,(y {N,N} N,x {N,N} N )). Defne ρ : Ξ Δ N(N ) ρ(z) {p o Δ N(N ) for each, j =,,...,N, /= j, p o{,j} Δ maxmzes p {,j} (y {,j},x {,j} j ) subject to p {,j} Δ}. Lemma 8.. ρ s upper hem-contnuous and convex-valued for all z Ξ. Defne Γ : Δ N(N ) Ξ B K #F ΔN(N ) Ξ B K #F. Γ (p, z, w ) ρ(z) Z(p, w ). ncludes the range of Z. Let z Ξ, z Lemma 8.. Assume P.0 P.IV, and C.I. Then Γ s upper hem-contnuous and convex-valued on Δ N(N ) Ξ B #F K. Γ has a fxed pont (p,z,w ) and 0 = z. Proof. Upper hem-contnuty and convexty are establshed n Lemmas 7. and 8.. Exstence of the fxed pont (p,z ) then follows from the Kakutan fxed pont theorem. To demonstrate that z = 0, note Lemma 7. and strct monotoncty of u h and v j. Defnton: (p,w ) Δ N(N ) B K #F s sad to be an equlbrum f (0,w ) {( f F (yf,x f ) + h H Dh (p,w ),w,w,...,w f,...,w #F ) (y f,x f,w f ) S f (p )} where 0 s the orgn n R N(N ). Theorem 8.. Assume P.0 P.IV, C.I. Then there s an equlbrum (p,w ) Δ N(N ) B K #F. Proof. Apply Lemmas 5.5, 6. and 8.. Lemmas 8. provdes (p,z,w ) Δ N(N ) Ξ B K #F so that 0 = z, where (z,w ) {( f F (yf,x f ) + h H D h (p,w ),w,w,...,w f,...,w #F ) (y f,x f,w f ) S f (p )}. Then S f (p ) [Ŷ f B K ] /=, so by Lemma 5.5, S f (p ) S f (p ). 0 = z, mples that (y h,x h ) <c, so by Lemma 6., D h (p,w ) D h (p,w ). But then (0,w ) {( f F (yf,x f ) + h H Dh (p,w ),w,w,...,w f,...,w #F ) (y f,x f,w f ) S f (p )}. Then (p,w ) s an equlbrum.
9 8.. No-arbtrage condton n tradng post equlbrum R.M. Starr / Journal of Mathematcal Economcs 44 (008) At tradng post equlbrum proftable arbtrage by households should not be possble at prevalng equlbrum prces. Otherwse, arbtrarly large tradng profts would seem possble to the household. For smplcty, consder arbtrage among only two commodtes, wthout loss of generalty denoted and. There s only one tradng post {, } under consderaton so the superscrpt desgnatng the tradng post can be omtted to smplfy notaton. The prce vector s ((a,b ), (a,b )) Δ Δ where Δ s the unt -smplex. Recall that households sell at bd prces, b, b and buy at ask prces a, a. Then from the household sde the no-arbtrage condton can be stated as b a. a b Ths s demonstrated n the followng way. Consder a sngle household, omttng the household superscrpt for smplcty. We have the followng relatons from the structure of the model: x 0,x 0,y 0,y 0 b x = a y, b x = a y,x = a y,y = b x,x = a y,y = b x. b a b a Consder household arbtrage n good, to accumulate large profts n good. Set x = y = ξ>0. Then x = (a /b )ξ and y = (b /a )( ξ)ory + x = ξ[b /a a /b ] = arbtrage proft. Hence, the suffcent condton for arbtrage proft to be nonpostve s b /a a /b. Smlarly consder household arbtrage n good to accumulate large profts n good. Set x = y = ξ>0. Then x = (a /b )ξ and y = (b /a )( ξ) ory + x = ξ[b /a a /b ] = arbtrage proft. Hence a suffcent condton for arbtrage proft to be nonpostve s b /a a /b or equvalently b a. a b 9. Meda of exchange, commodty mones Let (y h,x h ) D h (p, w ) be household h s N(N )-dmensonal transacton vector. The x co-ordnates are typcally sales (negatve sgn) at bd prces; the y co-ordnates are typcally purchases (postve sgn) at ask prces. Then we can characterze h s gross transactons n good as y h{,j} x h{,j} γ h. j j Further, the absolute value of h s net transactons n good, s j j y h{,j} + j x h{,j} ν h. The N-dmensonal vector γ h wth typcal element γ h s h s gross trade. The N-dmensonal vector ν h wth typcal element ν h s h s net trade vector (n absolute value). μ h γ h ν h s h s flow of goods as meda of exchange, gross trades mnus net trades. Snce frms perform a market-makng functon, buyng and sellng the same good at a sngle tradng post, a more complex vew of ther transactons s needed to sort out tradng flows used as meda of exchange. In partcular, for frms, we should net out offsettng transactons wthn a sngle tradng post. Thus, for f F, f s gross transactons n, nettng out ntra-post transactons s [y f {,j} + x f {,j} ] γ f.
10 4 R.M. Starr / Journal of Mathematcal Economcs 44 (008) The correspondng net transacton s j [y f {,j} + x f {,j} ] ν f. The N-dmensonal vector γ f wth typcal element γ f s f s gross nter-post trade. The N-dmensonal vector ν f wth typcal element ν f s h s net nter-post trade vector (n absolute value). μ f γ f ν f s f s flow of goods as meda of exchange, gross (nter-post) trades mnus net trades. The total (N-dmensonal vector) flow of meda of exchange among households and frms s then h H μh + f F μf. Ths expresson, h H μh + f F μf, s the flow of commodty mones. Thus, the tradng post equlbrum establshes a well-defned demand for meda of exchange as an outcome of the market equlbrum. Meda of exchange (commodty mones) are characterzed as goods flows actng as the carrer of value between transactons (not fulfllng fnal demands or nput requrements themselves), the dfference between gross and net trades. 0. Walrasan equlbrum, tradng post equlbrum, and demand for meda of exchange 0.. Transacton costs, essental and nessental sequence economes The ssues of general equlbrum wth transacton cost, effcency of allocaton and the mplcatons for the role of money appear n Foley (970); Hahn (97, 973); Starrett (973). Foley (970) consders a statc equlbrum wth (consstent wth the Arrow Debreu treatment) a sngle market meetng. All of the formal structure of the Arrow Debreu economy s mantaned whle the transacton process s treated as a producton actvty. Each of N goods has a bd and ask (wholesale and retal) prce wth the resultng dmensonalty of the prce space at N. As n Debreu (959) the count N ncludes futures markets for all of the relevant goods. Foley (970) s dstnctve powerful nsght s that ths structure s mathematcally equvalent to the Arrow Debreu model. Assumng the usual contnuty and convexty assumptons, a compettve equlbrum exsts n the convex transacton cost economy, and the resultng allocaton s Pareto effcent. The noton of Pareto effcency here needs to take account of transacton costs: movng ownershp from one frm or household to another s a resource-usng actvty. Effcency conssts of effcent allocaton net of the necessary resource cost of reassgnng ownershp. Hahn (973) treats the reopenng of markets over tme n a sequence economy, dstngushng between essental and nessental sequence economes. The ssue treated s whether two otherwse dentcal economes have sgnfcantly dfferent equlbrum prces and resource allocaton dependng on the character of the budget constrant: a sngle Arrow Debreu budget for each household versus a tme-dated sequence of budget constrants n a sequence economy. In ths comparson t s necessary to take account of transacton costs, so the reference pont s not the conventonal Arrow Debreu equlbrum wthout transacton costs (Debreu, 959). Rather, t s the allocaton n an Arrow Debreu economy wth transacton costs (Foley, 970). Ths paper adopts the same usage. The effcency concept s subject to techncally necessary transacton costs. A tradng post equlbrum s nessental f the resultng allocaton s Walrasan, the same as n an Arrow Debreu (Foley) economy wth transacton costs. The equlbrum s nessental f the mult-faceted structure of the tradng post budget constrant has no effect n tself on the resultng allocaton of resources. Conversely, the tradng post equlbrum wll be descrbed as essental f the equlbrum resource allocaton s non-walrasan, dfferng because of the structure of budget constrants. Then the resource allocaton n an nessental tradng post economy s a Walrasan equlbrum allocaton and t s Pareto effcent by the Frst Fundamental Theorem of Welfare Economcs. Conversely, a tradng post economy s essental when the mult-faceted structure of budget constrants renders the equlbrum allocaton of resources dfferent from an Arrow Debreu equlbrum (takng full account of the effect of transacton costs, wth a complete array of futures markets). Then the equlbrum allocaton wll not be a Walrasan equlbrum and may be Pareto neffcent. The neffcency arses n ether of two ways: addtonal resources may be expended n fulfllment the multplcty of budget constrants, or the allocaton may be shfted (relatve to Walrasan equlbrum) to fulfll the addtonal constrants. Snce these crcumstances represent real resource allocatons to fulfll a purely admnstratve constrant, the reallocaton s regarded as Pareto neffcent. Ths treatment s smlar to Hahn (973) s treatment of sequence economes. A full
11 R.M. Starr / Journal of Mathematcal Economcs 44 (008) development of effcency condtons and detaled characterzaton of (n)essentalty s a sgnfcant topc, beyond the scope of ths paper. The array of economes subject to general equlbrum modelng ncludes essental and nessental tradng post economes wth resultant Walrasan and non-walrasan allocatons. Snce the desgnaton essental or nessental s based on the character of endogenous equlbrum prcng, t seems problematc to dstngush essental from nessental tradng post economes a pror. The alternatve s to revew examples, several of whch are presented below. 0.. Economes actvely usng meda of exchange The examples of Sectons 0.3. and 0.4. below llustrate the noton of tradng post economes usng meda of exchange n equlbrum. They are characterzed by economes where trade s mutually advantageous but drect trade between supplers and fnal demanders at tradng posts may be more costly n resources than ndrect trade through a lower transacton cost nstrument. Ths typcally reflects two elements of the example: drect exchange s not fully mutually satsfactory because of absence of double concdence of wants; transacton costs n some commodty may be lower than others, favorng ts use as a carrer of value n exchange. For a partcularly smple example, see Starr (008). It s dffcult fully to characterze the attrbutes of an economy, a pror, that wll lead to these condtons, hence the relance on examples. Nevertheless, the examples are ntended to be robust. The parameters of the examples are ntended to be elements of an open subset of parameter space where smlar results hold Pareto effcency of tradng post equlbrum wth transacton costless meda of exchange When there s a generally avalable zero-transacton cost medum of exchange, the tradng post equlbrum wll be nessental and the resultng allocaton of resources Pareto effcent (takng nto account transacton costs). The allocaton wll be a Walrasan equlbrum. Supposng that the transacton costs of meda of exchange n advanced monetary economes are low (f not nl), the zero-cost case should be a sgnfcant lmtng case. However mportant, the result s not deep. The presence of a costless medum of exchange means that prce ratos n a tradng post economy wll be the same as those of the correspondng Arrow Debreu economy. The example of Secton 0.3. below llustrates the effcency. The pont of comparson s an economy wth transacton costs, complete markets, effcent allocaton n general equlbrum, a sngle budget constrant for each household and well-defned proft maxmand for each frm, as n Foley (970). Then apply the Frst Fundamental Theorem of Welfare Economcs Example: A natural money absent double concdence of wants; Pareto effcent allocaton n tradng post equlbrum Let H {h =,,...,N} where rh h = and where uh (c h ) = 0ch+ h + N n/= h+,n= cn h for h =,...,99, and for h = N, u h (c h ) = 0c h + N n/=,n= cn h. There are N households named h =,,...,N; each endowed wth unt of good h and strongly preferrng good h + (mod N) to all others. There are N(N )/ frms denoted {, j},j>,,j =,,...,N. The transacton technology of {, j}, /= s Y {,j} {(y, x) for k =, j, 0 y k 0.8x k ; for k/=, j, y k = x k = 0}. For{, j},=,y {,j} {(y, x) for k =,y = x, for j/=, 0 y j 0.8x j ; for k/=, j, y k = x k = 0}. That s, for each par of goods there s a dstnct tradng post frm {, j} and there s no arbtrage by frms between posts. Trade n all goods except good experences a 0% loss n the tradng process. The resultng equlbrum prces, for, j /= are (a {,j} j ) = (5/8, 3/8). For =,j /= we have, (a {,j},b {,j} j ) = (/, /), (a {,j} j,b {,j} ) = (5/9, 4/9). For {, } we have (a {,},b {,} ) = (/, /), (a {,},b {,} ) = (5/9, 4/9). The trade flows for h =, 3,...,N, are (x h{h,} h,y h{h,} ) = (, ), (x h{,h+},y h{,h+} h+ ) = (, 0.8). For h = N, (x N{,N} N,y N{,N} ) = (, 0.8). For h =, (x {,},y {,} ) = (, 0.8). That s, drect trade of most goods for j s prohbtvely expensve, losng 40% of the goods n the transacton process. Indrect trade, through good, s more attractve snce good tself s transacton costless. The typcal pattern of trade then s that household h sells endowment, good h, for good, then sells good for the desred good, h +. In the process, only 0% of goods are
12 44 R.M. Starr / Journal of Mathematcal Economcs 44 (008) lost to transacton costs. In ths s example all trade goes through good, and for N ofn traders good s a medum of exchange. The allocaton s Pareto effcent. Is the tradng post equlbrum a Walrasan equlbrum? Indvdual agent tradng behavor n the tradng post model dffers from Walrasan behavor (e.g. n Foley, 970) snce t ncludes actve use of a medum of exchange, good. But those trades are costless and net out to zero. The resultng resource allocaton s fully consstent wth Walrasan equlbrum and n a Foley (970) economy (Arrow Debreu wth transacton costs) the allocaton could be supported by Walrasan equlbrum prces. The allocaton s Pareto effcent. Ths tradng post economy s nessental Pareto neffcency of tradng post equlbrum wth costly meda of exchange; An essental tradng post economy As n Hahn (973); Starrett (973) s analyss of a sequence economy, when the mult-faceted structure of the budget constrant n the tradng post economy sgnfcantly affects the real allocaton of resources, the resultng allocaton s Pareto neffcent. Ths occurs because real resources spent or reallocated n fulfllment of the admnstratve requrement of budget constrants represent a waste. The expendture or reallocaton s admnstratvely requred but techncally unnecessary Example: An essental tradng post economy; Pareto neffcent allocaton n tradng post equlbrum The followng example smply follows the format of the prevous example, except that there s no costless medum of exchange. The result s a non-walrasan Pareto neffcent allocaton. The mechansm of neffcency s transparent. Transactons wll use the medum of exchange and ncur the cost of dong so. The cost s a wasted resource; t s admnstratvely requred but fulflls no techncal functon. Let the populaton H and H s endowments and preferences be as descrbed n Secton There are N(N )/ frms denoted {, j},j>,,j =,,...,N. The transacton technology of {, j}, /= sy {,j} {(y, x) for k =, j, 0 y k 0.8x k ; for k/=, j, y k = x k = 0}. For {, j},=,y {,j} {(y, x) for k =,y = x, for j/=, 0 y + y j 0.9x 0.8x j ; for k/=, j, y k = x k = 0}. That s, for each par of goods there s a dstnct tradng post frm {, j} and there s no arbtrage by frms between posts. Trade n all goods except good experences a 0% loss of each good n the tradng process; tradng two goods ncurs two 0% losses, 0% of each. Trade n good wth any other good j experences a 30% loss n good j (a 0% savng compared to usng any good other than as medum of exchange, hence the desrablty of tradng through good f a medum of exchange s to be used). The resultng equlbrum prces, for, j /= are (a {,j} j ) = (5/8, 3/8). For =,j /= we have, (a {,j},b {,j} j ) = (/, /), (a {,j} j,b {,j} ) = (0/7, 7/7). For {, } we have (a {,} ) = (/, /), (a {,},b {,j} ) = (0/7, 7/7).,b {,j} The trade flows for h =, 3,...,N, are (x h{h,} h,y h{h,} ) = (, ), (x h{,h+},y h{,h+} h+ ) = (, 0.7). For h = N, (x N{,N} N,y N{,N} ) = (, 0.7). For h =, (x {,},y {,} ) = (, 0.7). That s, drect trade of most goods for j s prohbtvely expensve, losng 40% of the goods n the transacton process. Ths reflects the absence of double concdence of wants. A typcal household drectly tradng good h for good h + necessarly ncurs transacton costs on both sdes of the bargan. Indrect trade, through good, s more attractve snce good tself carres lower transacton costs. The typcal pattern of trade then s that household h sells endowment, good h, for good, then sells good for the desred good, h +. In the process, only 30% of good h + s lost to transacton costs. In ths example all trade goes through good, and for N out of N traders good s a medum of exchange. The allocaton s not however Pareto effcent. Some of the resources used n the transacton process, 0% of gross endowment, are techncally necessary to the reallocaton. It s not wasted. But the transacton costs assocated merely wth fulfllng the parwse tradng post budget constrant, 0% of total endowment, s admnstratvely necessary but not techncally necessary. It s a waste. The equlbrum allocaton represents the outcome n an essental tradng post economy. It s not Pareto effcent. Is the tradng post equlbrum a Walrasan equlbrum? Indvdual agent tradng behavor n the tradng post model dffers from Walrasan behavor (e.g. n Foley, 970) snce t ncludes actve use of a medum of exchange, good. Those trades net out to a loss. The resultng resource allocaton s nconsstent wth Walrasan equlbrum. In a Foley
13 R.M. Starr / Journal of Mathematcal Economcs 44 (008) (970) economy (Arrow Debreu wth transacton costs) the allocaton cannot be supported by Walrasan equlbrum prces and t s Pareto neffcent. Ths tradng post economy equlbrum s essental Economes not usng meda of exchange: Double concdence of wants and nactve trade Economes wth full double concdence of wants wll typcally not use meda of exchange n tradng post equlbrum. Supples are drectly exchanged for demands 3. Alternatvely, the economy may not use meda of exchange smply because trade s unattractve. There are two obvous cases: a Pareto effcent endowment and prohbtve transacton costs Full double concdence of wants wth lnear transacton costs Consder the followng economy wth full double concdence of wants. Let N be an even nteger. Let H {h =,,...,N} where rh h = and where for h odd uh (c h ) = 0ch+ h + N n/= h+,n= cn h, and for h even, uh (c h ) = 0ch h + N n/= h,n= cn h. There are N households named h =,,...,N; each endowed wth unt of good h and the odd numbered households strongly preferrng good h +, the even numbered households strongly preferrng good h. Drect trade wth the neghbor s the obvous polcy. Ths wll be true even f there s a low transacton cost nstrument avalable, so long as drect trade s no more costly than ndrect trade through the low transacton cost nstrument. Assume a populaton of frms and transacton technologes the same as n Secton The resultng equlbrum prces, for, j /= are (a {,j} j ) = ((5/9), (4/9)). For {, } we have (a {,} ((0/7), (7/7)), (a {,},b {,} ) = ((/), (/)). The trade flows for h odd, h/=, are (x h{h,h+} h For h = even, (x h{h,h } h,y h{h,h } h ) = (,.8), (x h{h,h } (, 0.7), (x {,},b {,} ) =,y h{h,h+} h+ ) = (,.8), (x h{h,h+} h+,y h{h,h+} h ) = (0, 0). h,y h{h,h } h ) = (0, 0). For h =,, (x {,},y {,} ) =,y {,} ) = (0, 0), (x {,},y {,} ) = (0, 0), (y {,},x {,} ) = (, ). All of the trade flows n ths allocaton are drect trade. There s no trade n meda of exchange. Ths reflects the endowment, demand, and transacton cost structure: there s a double concdence of wants, so there s lttle ncentve to trade ndrectly, and no transacton cost advantage to ndrect trade. Thus, the example generates a tradng post equlbrum wthout use of a medum of exchange. The tradng structure and resultng allocaton are Pareto effcent, and consttute a Walrasan equlbrum (allowng for transacton costs). The tradng post economy s nessental. That s, the trade flows and resultng allocatons would be the same allowng for smlar transacton technology n a unfed (Foley (970)) tradng settng Inactve trade: Pareto effcent endowment In an economy where there s no need for trade, there s no use for meda of exchange. If the endowment s Pareto effcent, there wll be no use of meda of exchange n a tradng post equlbrum Inactve trade: Prohbtve transacton costs A far more nterestng reason for a nl demand for meda of exchange s overwhelmng transacton costs. Costs hgh enough to dscourage all trade wll elmnate the demand for meda of exchange as well. Assume household populaton, tastes and endowments, the same as n Secton There are N(N )/ frms denoted {, j},j>,,j =,,...,N. The transacton technology of {, j}, all, j, s Y {,j} {(y, x) for k =, j, 0 y k 0.x k ; for k/=, j, y k = x k = 0}. That s, for each par of goods there s a dstnct tradng post frm {, j} and there s no arbtrage by frms between posts. Trade n all goods experences a 90% loss n the tradng process. Two sdes to the trade compounds the loss: 99% loss n two trades. The resultng equlbrum prces, for, j are (a {,j} j ) = ((99/00), (/00)). The endowment s the equlbrum allocaton. No household wshes to trade at a dscount of 99% but ths s just break-even for the frms consderng 3 Exceptons to ths generalzaton occur where multple trades through a medum of exchange ncur lower cost than a sngle drect trade. That reflects some cost assocated wth the nteracton between the goods traded drectly (e.g. gasolne and matches) or economes of scale n a hgh volume market wth a common medum of exchange (Starr, 003b).
14 46 R.M. Starr / Journal of Mathematcal Economcs 44 (008) the oppressve transacton technology. The allocaton s non-walrasan and s far from Pareto effcent one-step rearrangements for each good would be a grand Pareto mprovement, even ncurrng 90% transacton costs. But that calculaton gnores the 90% transacton cost on payment of qud pro quo, necessarly ncurred n a tradng post equlbrum. Ths calculaton reflects the dual problems of transacton costs and absence of double concdence of wants f there were a better match of supplers wth demanders even 90% transacton costs could be borne and mutually benefcal trades undertaken. But the absence of double concdence of wants means that each trade undertaken benefts drectly only one sde. Two trades and two sets of transacton costs must be ncurred n the tradng post economy, and transacton costs then swamp the gans from trade.. Concluson Ths essay creates a parsmonous model where a medum of exchange (commodty money) s an outcome of the (slghtly augmented) Arrow Debreu general equlbrum. The monetary structure of trade s a result of the prce theory general equlbrum. Monetary trade s not a separate assumpton; monetary exchange s an outcome, a drect mplcaton of the general equlbrum when there are multple dstnct budget constrants facng each agent. The trades of frms and households n a tradng post economy may be characterzed by many separate transactons, each fulfllng a separate budget constrant. In an economy of N commodtes there are N(N )/ tradng posts, one for each par of goods. The tradng post model reformulates the budget so that each of many separate transactons fulflls ts own budget constrant. Ths treatment generates a demand for carrers of value (meda of exchange) movng among successve trades (Starr, 003a,b). Vrtually the same axomatc structure (Arrow and Debreu, 954) that ensures the exstence of general equlbrum n the model of a unfed market wthout transacton costs yelds exstence of equlbrum and a well-defned demand for meda of exchange n ths dsaggregated settng. Tradng post equlbra are Pareto effcent when they are smply the elaboraton of an underlyng Walrasan equlbrum, an nessental tradng post economy; see also Hahn (973). However, the multplcty of separate budget constrants and the addtonal transacton costs ncurred or avoded may skew the allocaton and prcng (an essental tradng post equlbrum). Then the equlbrum cannot be supported by a Walrasan prce structure and the allocaton wll be Pareto neffcent; see also Starrett (973). The prce system s nformatve not only about scarcty and desrablty. It also prces lqudty. Transacton costs generate a spread between bd and ask prces at each tradng post. The bd ask spread tells frms and households whch goods are lqud, easly traded wthout sgnfcant loss of value, and whch are llqud, unsutable as carrers of value between trades, Menger (89). The multplcty of budget constrants creates the demand for lqudty; the bd ask spreads sgnal ts supply. When lqudty s too expensve (example 0.5.), meda of exchange wll not be used. When lqudty s nexpensve and helpful n achevng a Pareto mprovng allocaton (example 0.3.), meda of exchange wll be actvely traded n equlbrum. The tradng post model endogenously generates a desgnaton and a flow of commodty money(es). The exstence of (commodty) money and the monetary structure of trade s an outcome of the general economc equlbrum. Money s not a separate assumpton; t s a result of the equlbrum allocaton. Acknowledgement I am ndebted to ths journal s edtor, guest edtor, and referee, to partcpants n the Legacy of Gerard Debreu conference at Berkeley n October 005, to Omar Lcandro, Garey Ramey, and Joel Sobel for helpful advce. Mstakes are the author s. References Arrow, K.J., Debreu, G., 954. Exstence of equlbrum for a compettve economy. Econometrca, Debreu, G., 959. Theory of Value. Yale Unversty Press, New Haven. Foley, D.K., 970. Economc equlbrum wth costly marketng. Journal of Economc Theory (3), Goldberg, D., 005. The tax-foundaton theory of money, unpublshed, Texas A&M Unversty, College Staton, Texas. Green, J., Heller, W.P., 98. Mathematcal analyss and convexty wth applcatons to economcs. In: Arrow, K.J., Intrlgator, M.D. (Eds.), Handbook of Mathematcal Economcs, vol.. North Holland, New York. Hahn, F.H., 97. Equlbrum wth transacton costs. Econometrca 39 (3), Hahn, F.H., 973. On transacton costs, nessental sequence economes and money. Revew of Economc Studes XL (October (4)),
15 R.M. Starr / Journal of Mathematcal Economcs 44 (008) Hahn, F.H., 98. Money and Inflaton. Basl Blackwell, Oxford. Jevons, W.S., 875. Money and the Mechansm of Exchange. C. Kegan Paul, London. Kyotak, N., Wrght, R., 989. On money as a medum of exchange. Journal of Poltcal Economy 97, Kurz, M., 974. Equlbrum n a fnte sequence of markets wth transacton cost. Econometrca 4 (), 0. Menger, C., 89. On the orgn of money. Economc Journal II, (translated by Carolne A. Foley). Shapley, L.S., Shubk, M., 977. Trade usng one commodty as means of payment. Journal of Poltcal Economy 85 (October (5)), Smth, A., 776/966. An Inqury nto the Nature and Causes of the Wealth of Natons, vol. I. W. Strahan and T. Cadell/A.M. Kelley, London/New York (Book II, Chapter II). Starr, R., 997. General Equlbrum Theory: An Introducton. Cambrdge Unversty Press, New York. Starr, R., 003a. Why s there money? Endogenous dervaton of money as the most lqud asset: a class of examples. Economc Theory (March ( 3)), Starr, R., 003b. Exstence and unqueness of money n general equlbrum: natural monopoly n the most lqud asset. In: Alprants, C.D., Arrow, K.J., Hammond, P., Kubler, F., Wu, H.-M., Yannels, N.C. (Eds.), Assets, Belefs, and Equlbra n Economc Dynamcs. BertelsmanSprnger, Hedelberg. Starr, R., 003c. Monetary general equlbrum wth transacton costs. Journal of Mathematcal Economcs 39 (June (3 4)), Starr, R., 008. Mengeran Saleableness and commodty money n a Walrasan tradng post example, Econ. Lett. Starrett, D.A., 973. Ineffcency and the demand for Money n a sequence economy. Revew of Economc Studes XL (4), Wallace, N., 980. The overlappng generatons model of fat money. In: Kareken, J., Wallace, N. (Eds.), Models of Monetary Economes. Federal Reserve Bank of Mnneapols, Mnneapols. Walras, L., 874. Elements of Pure Economcs, Jaffe translaton (954). Irwn, Homewood, IL. Wcksell, K., 936, Interest and prces [Geldzns und Güterprese]: a study of the causes regulatng the value of money translated by R.F. Kahn. Macmllan, London [reprnt A.M. Kelley, New York, 96].
An Alternative Way to Measure Private Equity Performance
An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate
More informationbenefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).
REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or
More informationAddendum to: Importing Skill-Biased Technology
Addendum to: Importng Skll-Based Technology Arel Bursten UCLA and NBER Javer Cravno UCLA August 202 Jonathan Vogel Columba and NBER Abstract Ths Addendum derves the results dscussed n secton 3.3 of our
More informationCan Auto Liability Insurance Purchases Signal Risk Attitude?
Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang
More information1 Example 1: Axis-aligned rectangles
COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture # 6 Scrbe: Aaron Schld February 21, 2013 Last class, we dscussed an analogue for Occam s Razor for nfnte hypothess spaces that, n conjuncton
More informationSupport Vector Machines
Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.
More informationRecurrence. 1 Definitions and main statements
Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.
More informationEqulbra Exst and Trade S effcent proportionally
On Compettve Nonlnear Prcng Andrea Attar Thomas Marott Franços Salané February 27, 2013 Abstract A buyer of a dvsble good faces several dentcal sellers. The buyer s preferences are her prvate nformaton,
More informationExtending Probabilistic Dynamic Epistemic Logic
Extendng Probablstc Dynamc Epstemc Logc Joshua Sack May 29, 2008 Probablty Space Defnton A probablty space s a tuple (S, A, µ), where 1 S s a set called the sample space. 2 A P(S) s a σ-algebra: a set
More informationAnswer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy
4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.
More informationInstitute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic
Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange
More informationOn the Optimal Control of a Cascade of Hydro-Electric Power Stations
On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;
More informationWhat is Candidate Sampling
What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble
More informationHow Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence
1 st Internatonal Symposum on Imprecse Probabltes and Ther Applcatons, Ghent, Belgum, 29 June 2 July 1999 How Sets of Coherent Probabltes May Serve as Models for Degrees of Incoherence Mar J. Schervsh
More informationThe Stock Market Game and the Kelly-Nash Equilibrium
The Stock Market Game and the Kelly-Nash Equlbrum Carlos Alós-Ferrer, Ana B. Ana Department of Economcs, Unversty of Venna. Hohenstaufengasse 9, A-1010 Venna, Austra. July 2003 Abstract We formulate the
More informationImplied (risk neutral) probabilities, betting odds and prediction markets
Impled (rsk neutral) probabltes, bettng odds and predcton markets Fabrzo Caccafesta (Unversty of Rome "Tor Vergata") ABSTRACT - We show that the well known euvalence between the "fundamental theorem of
More informationProduction. 2. Y is closed A set is closed if it contains its boundary. We need this for the solution existence in the profit maximization problem.
Producer Theory Producton ASSUMPTION 2.1 Propertes of the Producton Set The producton set Y satsfes the followng propertes 1. Y s non-empty If Y s empty, we have nothng to talk about 2. Y s closed A set
More informationModule 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..
More informationWe are now ready to answer the question: What are the possible cardinalities for finite fields?
Chapter 3 Fnte felds We have seen, n the prevous chapters, some examples of fnte felds. For example, the resdue class rng Z/pZ (when p s a prme) forms a feld wth p elements whch may be dentfed wth the
More informationOptimality in an Adverse Selection Insurance Economy. with Private Trading. November 2014
Optmalty n an Adverse Selecton Insurance Economy wth Prvate Tradng November 2014 Pamela Labade 1 Abstract Prvate tradng n an adverse selecton nsurance economy creates a pecunary externalty through the
More informationOptimality in an Adverse Selection Insurance Economy. with Private Trading. April 2015
Optmalty n an Adverse Selecton Insurance Economy wth Prvate Tradng Aprl 2015 Pamela Labade 1 Abstract An externalty s created n an adverse selecton nsurance economy because of the nteracton between prvate
More informationA Lyapunov Optimization Approach to Repeated Stochastic Games
PROC. ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING, OCT. 2013 1 A Lyapunov Optmzaton Approach to Repeated Stochastc Games Mchael J. Neely Unversty of Southern Calforna http://www-bcf.usc.edu/
More informationRESEARCH DISCUSSION PAPER
Reserve Bank of Australa RESEARCH DISCUSSION PAPER Competton Between Payment Systems George Gardner and Andrew Stone RDP 2009-02 COMPETITION BETWEEN PAYMENT SYSTEMS George Gardner and Andrew Stone Research
More informationPower-of-Two Policies for Single- Warehouse Multi-Retailer Inventory Systems with Order Frequency Discounts
Power-of-wo Polces for Sngle- Warehouse Mult-Retaler Inventory Systems wth Order Frequency Dscounts José A. Ventura Pennsylvana State Unversty (USA) Yale. Herer echnon Israel Insttute of echnology (Israel)
More informationProject Networks With Mixed-Time Constraints
Project Networs Wth Mxed-Tme Constrants L Caccetta and B Wattananon Western Australan Centre of Excellence n Industral Optmsaton (WACEIO) Curtn Unversty of Technology GPO Box U1987 Perth Western Australa
More informationLuby s Alg. for Maximal Independent Sets using Pairwise Independence
Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent
More informationLecture 3: Force of Interest, Real Interest Rate, Annuity
Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and
More informationGeneral Auction Mechanism for Search Advertising
General Aucton Mechansm for Search Advertsng Gagan Aggarwal S. Muthukrshnan Dávd Pál Martn Pál Keywords game theory, onlne auctons, stable matchngs ABSTRACT Internet search advertsng s often sold by an
More informationDEFINING %COMPLETE IN MICROSOFT PROJECT
CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,
More informationNON-CONSTANT SUM RED-AND-BLACK GAMES WITH BET-DEPENDENT WIN PROBABILITY FUNCTION LAURA PONTIGGIA, University of the Sciences in Philadelphia
To appear n Journal o Appled Probablty June 2007 O-COSTAT SUM RED-AD-BLACK GAMES WITH BET-DEPEDET WI PROBABILITY FUCTIO LAURA POTIGGIA, Unversty o the Scences n Phladelpha Abstract In ths paper we nvestgate
More informationBERNSTEIN POLYNOMIALS
On-Lne Geometrc Modelng Notes BERNSTEIN POLYNOMIALS Kenneth I. Joy Vsualzaton and Graphcs Research Group Department of Computer Scence Unversty of Calforna, Davs Overvew Polynomals are ncredbly useful
More information+ + + - - This circuit than can be reduced to a planar circuit
MeshCurrent Method The meshcurrent s analog of the nodeoltage method. We sole for a new set of arables, mesh currents, that automatcally satsfy KCLs. As such, meshcurrent method reduces crcut soluton to
More informationInternet companies extensively use the practice of drop-shipping, where the wholesaler stocks and owns the
MANAGEMENT SIENE Vol. 52, No. 6, June 26, pp. 844 864 ssn 25-199 essn 1526-551 6 526 844 nforms do 1.1287/mnsc.16.512 26 INFORMS Supply han hoce on the Internet Sergue Netessne The Wharton School, Unversty
More information17 Capital tax competition
17 Captal tax competton 17.1 Introducton Governments would lke to tax a varety of transactons that ncreasngly appear to be moble across jursdctonal boundares. Ths creates one obvous problem: tax base flght.
More informationA Probabilistic Theory of Coherence
A Probablstc Theory of Coherence BRANDEN FITELSON. The Coherence Measure C Let E be a set of n propostons E,..., E n. We seek a probablstc measure C(E) of the degree of coherence of E. Intutvely, we want
More informationLecture 3: Annuity. Study annuities whose payments form a geometric progression or a arithmetic progression.
Lecture 3: Annuty Goals: Learn contnuous annuty and perpetuty. Study annutes whose payments form a geometrc progresson or a arthmetc progresson. Dscuss yeld rates. Introduce Amortzaton Suggested Textbook
More informationThe literature on many-server approximations provides significant simplifications toward the optimal capacity
Publshed onlne ahead of prnt November 13, 2009 Copyrght: INFORMS holds copyrght to ths Artcles n Advance verson, whch s made avalable to nsttutonal subscrbers. The fle may not be posted on any other webste,
More informationSolution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt.
Chapter 9 Revew problems 9.1 Interest rate measurement Example 9.1. Fund A accumulates at a smple nterest rate of 10%. Fund B accumulates at a smple dscount rate of 5%. Fnd the pont n tme at whch the forces
More informationIDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS
IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS Chrs Deeley* Last revsed: September 22, 200 * Chrs Deeley s a Senor Lecturer n the School of Accountng, Charles Sturt Unversty,
More informationFisher Markets and Convex Programs
Fsher Markets and Convex Programs Nkhl R. Devanur 1 Introducton Convex programmng dualty s usually stated n ts most general form, wth convex objectve functons and convex constrants. (The book by Boyd and
More informationNordea G10 Alpha Carry Index
Nordea G10 Alpha Carry Index Index Rules v1.1 Verson as of 10/10/2013 1 (6) Page 1 Index Descrpton The G10 Alpha Carry Index, the Index, follows the development of a rule based strategy whch nvests and
More information1.1 The University may award Higher Doctorate degrees as specified from time-to-time in UPR AS11 1.
HIGHER DOCTORATE DEGREES SUMMARY OF PRINCIPAL CHANGES General changes None Secton 3.2 Refer to text (Amendments to verson 03.0, UPR AS02 are shown n talcs.) 1 INTRODUCTION 1.1 The Unversty may award Hgher
More informationWhat should (public) health insurance cover?
Journal of Health Economcs 26 (27) 251 262 What should (publc) health nsurance cover? Mchael Hoel Department of Economcs, Unversty of Oslo, P.O. Box 195 Blndern, N-317 Oslo, Norway Receved 29 Aprl 25;
More informationCautiousness and Measuring An Investor s Tendency to Buy Options
Cautousness and Measurng An Investor s Tendency to Buy Optons James Huang October 18, 2005 Abstract As s well known, Arrow-Pratt measure of rsk averson explans a ratonal nvestor s behavor n stock markets
More informationSUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW.
SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. Lucía Isabel García Cebrán Departamento de Economía y Dreccón de Empresas Unversdad de Zaragoza Gran Vía, 2 50.005 Zaragoza (Span) Phone: 976-76-10-00
More informationFeasibility of Using Discriminate Pricing Schemes for Energy Trading in Smart Grid
Feasblty of Usng Dscrmnate Prcng Schemes for Energy Tradng n Smart Grd Wayes Tushar, Chau Yuen, Bo Cha, Davd B. Smth, and H. Vncent Poor Sngapore Unversty of Technology and Desgn, Sngapore 138682. Emal:
More informationCourse outline. Financial Time Series Analysis. Overview. Data analysis. Predictive signal. Trading strategy
Fnancal Tme Seres Analyss Patrck McSharry patrck@mcsharry.net www.mcsharry.net Trnty Term 2014 Mathematcal Insttute Unversty of Oxford Course outlne 1. Data analyss, probablty, correlatons, vsualsaton
More informationThe OC Curve of Attribute Acceptance Plans
The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4
More informationDO LOSS FIRMS MANAGE EARNINGS AROUND SEASONED EQUITY OFFERINGS?
DO LOSS FIRMS MANAGE EARNINGS AROUND SEASONED EQUITY OFFERINGS? Fernando Comran, Unversty of San Francsco, School of Management, 2130 Fulton Street, CA 94117, Unted States, fcomran@usfca.edu Tatana Fedyk,
More information8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by
6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng
More informationCombinatorial Agency of Threshold Functions
Combnatoral Agency of Threshold Functons Shal Jan Computer Scence Department Yale Unversty New Haven, CT 06520 shal.jan@yale.edu Davd C. Parkes School of Engneerng and Appled Scences Harvard Unversty Cambrdge,
More informationEfficient Project Portfolio as a tool for Enterprise Risk Management
Effcent Proect Portfolo as a tool for Enterprse Rsk Management Valentn O. Nkonov Ural State Techncal Unversty Growth Traectory Consultng Company January 5, 27 Effcent Proect Portfolo as a tool for Enterprse
More informationProduct-Form Stationary Distributions for Deficiency Zero Chemical Reaction Networks
Bulletn of Mathematcal Bology (21 DOI 1.17/s11538-1-9517-4 ORIGINAL ARTICLE Product-Form Statonary Dstrbutons for Defcency Zero Chemcal Reacton Networks Davd F. Anderson, Gheorghe Cracun, Thomas G. Kurtz
More informationA Model of Intertemporal Emission Trading, Banking, and Borrowing*
Ž. JOURAL OF EVIROMEAL ECOOMICS AD MAAGEME 31, 269286 1996 ARICLE O. 0044 A Model of Intertemporal Emsson radng, Bankng, and Borrowng* JOAA D. RUBI Department of Economcs and Energy, Enronment and Resources
More informationOn the Interaction between Load Balancing and Speed Scaling
On the Interacton between Load Balancng and Speed Scalng Ljun Chen, Na L and Steven H. Low Engneerng & Appled Scence Dvson, Calforna Insttute of Technology, USA Abstract Speed scalng has been wdely adopted
More informationHow Large are the Gains from Economic Integration? Theory and Evidence from U.S. Agriculture, 1880-2002
How Large are the Gans from Economc Integraton? Theory and Evdence from U.S. Agrculture, 1880-2002 Arnaud Costnot MIT and NBER Dave Donaldson MIT, NBER and CIFAR PRELIMINARY AND INCOMPLETE August 15, 2011
More informationTo manage leave, meeting institutional requirements and treating individual staff members fairly and consistently.
Corporate Polces & Procedures Human Resources - Document CPP216 Leave Management Frst Produced: Current Verson: Past Revsons: Revew Cycle: Apples From: 09/09/09 26/10/12 09/09/09 3 years Immedately Authorsaton:
More informationA Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression
Novel Methodology of Workng Captal Management for Large Publc Constructons by Usng Fuzzy S-curve Regresson Cheng-Wu Chen, Morrs H. L. Wang and Tng-Ya Hseh Department of Cvl Engneerng, Natonal Central Unversty,
More informationPricing Model of Cloud Computing Service with Partial Multihoming
Prcng Model of Cloud Computng Servce wth Partal Multhomng Zhang Ru 1 Tang Bng-yong 1 1.Glorous Sun School of Busness and Managment Donghua Unversty Shangha 251 Chna E-mal:ru528369@mal.dhu.edu.cn Abstract
More informationIntra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error
Intra-year Cash Flow Patterns: A Smple Soluton for an Unnecessary Apprasal Error By C. Donald Wggns (Professor of Accountng and Fnance, the Unversty of North Florda), B. Perry Woodsde (Assocate Professor
More informationEmbedding lattices in the Kleene degrees
F U N D A M E N T A MATHEMATICAE 62 (999) Embeddng lattces n the Kleene degrees by Hsato M u r a k (Nagoya) Abstract. Under ZFC+CH, we prove that some lattces whose cardnaltes do not exceed ℵ can be embedded
More informationSupply network formation as a biform game
Supply network formaton as a bform game Jean-Claude Hennet*. Sona Mahjoub*,** * LSIS, CNRS-UMR 6168, Unversté Paul Cézanne, Faculté Sant Jérôme, Avenue Escadrlle Normande Némen, 13397 Marselle Cedex 20,
More informationTrade Adjustment and Productivity in Large Crises. Online Appendix May 2013. Appendix A: Derivation of Equations for Productivity
Trade Adjustment Productvty n Large Crses Gta Gopnath Department of Economcs Harvard Unversty NBER Brent Neman Booth School of Busness Unversty of Chcago NBER Onlne Appendx May 2013 Appendx A: Dervaton
More informationTHE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek
HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo
More informationJ. Parallel Distrib. Comput.
J. Parallel Dstrb. Comput. 71 (2011) 62 76 Contents lsts avalable at ScenceDrect J. Parallel Dstrb. Comput. journal homepage: www.elsever.com/locate/jpdc Optmzng server placement n dstrbuted systems n
More informationThe Cox-Ross-Rubinstein Option Pricing Model
Fnance 400 A. Penat - G. Pennacc Te Cox-Ross-Rubnsten Opton Prcng Model Te prevous notes sowed tat te absence o arbtrage restrcts te prce o an opton n terms o ts underlyng asset. However, te no-arbtrage
More informationOn the Interaction between Load Balancing and Speed Scaling
On the Interacton between Load Balancng and Speed Scalng Ljun Chen and Na L Abstract Speed scalng has been wdely adopted n computer and communcaton systems, n partcular, to reduce energy consumpton. An
More informationBuy-side Analysts, Sell-side Analysts and Private Information Production Activities
Buy-sde Analysts, Sell-sde Analysts and Prvate Informaton Producton Actvtes Glad Lvne London Busness School Regent s Park London NW1 4SA Unted Kngdom Telephone: +44 (0)0 76 5050 Fax: +44 (0)0 774 7875
More informationConstruction Rules for Morningstar Canada Target Dividend Index SM
Constructon Rules for Mornngstar Canada Target Dvdend Index SM Mornngstar Methodology Paper October 2014 Verson 1.2 2014 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property
More informationEconomic Models for Cloud Service Markets
Economc Models for Cloud Servce Markets Ranjan Pal and Pan Hu 2 Unversty of Southern Calforna, USA, rpal@usc.edu 2 Deutsch Telekom Laboratores, Berln, Germany, pan.hu@telekom.de Abstract. Cloud computng
More informationNo 144. Bundling and Joint Marketing by Rival Firms. Thomas D. Jeitschko, Yeonjei Jung, Jaesoo Kim
No 144 Bundlng and Jont Marketng by Rval Frms Thomas D. Jetschko, Yeonje Jung, Jaesoo Km May 014 IMPRINT DICE DISCUSSION PAPER Publshed by düsseldorf unversty press (dup) on behalf of Henrch Hene Unverstät
More informationPrice Impact Asymmetry of Block Trades: An Institutional Trading Explanation
Prce Impact Asymmetry of Block Trades: An Insttutonal Tradng Explanaton Gdeon Saar 1 Frst Draft: Aprl 1997 Current verson: October 1999 1 Stern School of Busness, New York Unversty, 44 West Fourth Street,
More informationDynamic Pricing for Smart Grid with Reinforcement Learning
Dynamc Prcng for Smart Grd wth Renforcement Learnng Byung-Gook Km, Yu Zhang, Mhaela van der Schaar, and Jang-Won Lee Samsung Electroncs, Suwon, Korea Department of Electrcal Engneerng, UCLA, Los Angeles,
More informationHedging Interest-Rate Risk with Duration
FIXED-INCOME SECURITIES Chapter 5 Hedgng Interest-Rate Rsk wth Duraton Outlne Prcng and Hedgng Prcng certan cash-flows Interest rate rsk Hedgng prncples Duraton-Based Hedgng Technques Defnton of duraton
More informationA Two Stage Stochastic Equilibrium Model for Electricity Markets with Two Way Contracts
A Two Stage Stochastc Equlbrum Model for Electrcty Markets wth Two Way Contracts Dal Zhang and Hufu Xu School of Mathematcs Unversty of Southampton Southampton SO17 1BJ, UK Yue Wu School of Management
More informationTexas Instruments 30X IIS Calculator
Texas Instruments 30X IIS Calculator Keystrokes for the TI-30X IIS are shown for a few topcs n whch keystrokes are unque. Start by readng the Quk Start secton. Then, before begnnng a specfc unt of the
More informationPERRON FROBENIUS THEOREM
PERRON FROBENIUS THEOREM R. CLARK ROBINSON Defnton. A n n matrx M wth real entres m, s called a stochastc matrx provded () all the entres m satsfy 0 m, () each of the columns sum to one, m = for all, ()
More informationPRIVATE SCHOOL CHOICE: THE EFFECTS OF RELIGIOUS AFFILIATION AND PARTICIPATION
PRIVATE SCHOOL CHOICE: THE EFFECTS OF RELIIOUS AFFILIATION AND PARTICIPATION Danny Cohen-Zada Department of Economcs, Ben-uron Unversty, Beer-Sheva 84105, Israel Wllam Sander Department of Economcs, DePaul
More informationwhere the coordinates are related to those in the old frame as follows.
Chapter 2 - Cartesan Vectors and Tensors: Ther Algebra Defnton of a vector Examples of vectors Scalar multplcaton Addton of vectors coplanar vectors Unt vectors A bass of non-coplanar vectors Scalar product
More informationCalculation of Sampling Weights
Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample
More informationChapter 7: Answers to Questions and Problems
19. Based on the nformaton contaned n Table 7-3 of the text, the food and apparel ndustres are most compettve and therefore probably represent the best match for the expertse of these managers. Chapter
More informationAllocating Collaborative Profit in Less-than-Truckload Carrier Alliance
J. Servce Scence & Management, 2010, 3: 143-149 do:10.4236/jssm.2010.31018 Publshed Onlne March 2010 (http://www.scrp.org/journal/jssm) 143 Allocatng Collaboratve Proft n Less-than-Truckload Carrer Allance
More informationSPECIALIZED DAY TRADING - A NEW VIEW ON AN OLD GAME
August 7 - August 12, 2006 n Baden-Baden, Germany SPECIALIZED DAY TRADING - A NEW VIEW ON AN OLD GAME Vladmr Šmovć 1, and Vladmr Šmovć 2, PhD 1 Faculty of Electrcal Engneerng and Computng, Unska 3, 10000
More informationLinear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits
Lnear Crcuts Analyss. Superposton, Theenn /Norton Equalent crcuts So far we hae explored tmendependent (resste) elements that are also lnear. A tmendependent elements s one for whch we can plot an / cure.
More informationThe Choice of Direct Dealing or Electronic Brokerage in Foreign Exchange Trading
The Choce of Drect Dealng or Electronc Brokerage n Foregn Exchange Tradng Mchael Melvn Arzona State Unversty & Ln Wen Unversty of Redlands MARKET PARTICIPANTS: Customers End-users Multnatonal frms Central
More informationAbteilung für Stadt- und Regionalentwicklung Department of Urban and Regional Development
Abtelung für Stadt- und Regonalentwcklung Department of Urban and Regonal Development Gunther Maer, Alexander Kaufmann The Development of Computer Networks Frst Results from a Mcroeconomc Model SRE-Dscusson
More informationOn Lockett pairs and Lockett conjecture for π-soluble Fitting classes
On Lockett pars and Lockett conjecture for π-soluble Fttng classes Lujn Zhu Department of Mathematcs, Yangzhou Unversty, Yangzhou 225002, P.R. Chna E-mal: ljzhu@yzu.edu.cn Nanyng Yang School of Mathematcs
More informationMinimal Coding Network With Combinatorial Structure For Instantaneous Recovery From Edge Failures
Mnmal Codng Network Wth Combnatoral Structure For Instantaneous Recovery From Edge Falures Ashly Joseph 1, Mr.M.Sadsh Sendl 2, Dr.S.Karthk 3 1 Fnal Year ME CSE Student Department of Computer Scence Engneerng
More informationHow to Sell Innovative Ideas: Property right, Information. Revelation and Contract Design
Presenter Ye Zhang uke Economcs A yz137@duke.edu How to Sell Innovatve Ideas: Property rght, Informaton evelaton and Contract esgn ay 31 2011 Based on James Anton & ennes Yao s two papers 1. Expropraton
More informationInterest Rate Fundamentals
Lecture Part II Interest Rate Fundamentals Topcs n Quanttatve Fnance: Inflaton Dervatves Instructor: Iraj Kan Fundamentals of Interest Rates In part II of ths lecture we wll consder fundamental concepts
More informationOn the Role of Consumer Expectations in Markets with Network Effects
No 13 On the Role of Consumer Expectatons n Markets wth Network Effects Irna Suleymanova, Chrstan Wey November 2010 (frst verson: July 2010) IMPRINT DICE DISCUSSION PAPER Publshed by Henrch Hene Unverstät
More informationThe Development of Web Log Mining Based on Improve-K-Means Clustering Analysis
The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.
More informationAdverse selection in the annuity market when payoffs vary over the time of retirement
Adverse selecton n the annuty market when payoffs vary over the tme of retrement by JOANN K. BRUNNER AND SUSANNE PEC * July 004 Revsed Verson of Workng Paper 0030, Department of Economcs, Unversty of nz.
More informationHow To Calculate The Accountng Perod Of Nequalty
Inequalty and The Accountng Perod Quentn Wodon and Shlomo Ytzha World Ban and Hebrew Unversty September Abstract Income nequalty typcally declnes wth the length of tme taen nto account for measurement.
More informationGeneralizing the degree sequence problem
Mddlebury College March 2009 Arzona State Unversty Dscrete Mathematcs Semnar The degree sequence problem Problem: Gven an nteger sequence d = (d 1,...,d n ) determne f there exsts a graph G wth d as ts
More informationInternalization, Clearing and Settlement, and Stock Market Liquidity 1
Internalzaton, Clearng and Settlement, and Stock Market Lqudty 1 Hans Degryse, Mark Van Achter 3, and Gunther Wuyts 4 May 010 1 We would lke to thank partcpants at semnars n Louvan, Mannhem, and Tlburg
More informationNumber of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000
Problem Set 5 Solutons 1 MIT s consderng buldng a new car park near Kendall Square. o unversty funds are avalable (overhead rates are under pressure and the new faclty would have to pay for tself from
More information1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP)
6.3 / -- Communcaton Networks II (Görg) SS20 -- www.comnets.un-bremen.de Communcaton Networks II Contents. Fundamentals of probablty theory 2. Emergence of communcaton traffc 3. Stochastc & Markovan Processes
More informationHow To Trade Water Quality
Movng Beyond Open Markets for Water Qualty Tradng: The Gans from Structured Blateral Trades Tanl Zhao Yukako Sado Rchard N. Bosvert Gregory L. Poe Cornell Unversty EAERE Preconference on Water Economcs
More informationStaff Paper. Farm Savings Accounts: Examining Income Variability, Eligibility, and Benefits. Brent Gloy, Eddy LaDue, and Charles Cuykendall
SP 2005-02 August 2005 Staff Paper Department of Appled Economcs and Management Cornell Unversty, Ithaca, New York 14853-7801 USA Farm Savngs Accounts: Examnng Income Varablty, Elgblty, and Benefts Brent
More information