ON THE PROVISION OF MICRO LOANS - MICROFINANCE INSTITUTIONS AND TRADITIONAL BANKS

Size: px
Start display at page:

Download "ON THE PROVISION OF MICRO LOANS - MICROFINANCE INSTITUTIONS AND TRADITIONAL BANKS"

Transcription

1 JOURNA OF ECONOIC DEVEOPENT 59 Volume 35, Numer 1, arch 2010 ON TE PROVIION OF ICRO OAN - ICROFINANCE INTITUTION AND TRADITIONA BANK RUBANA AJABEEN * Truman tate Unversty Ths aer emloys a utlty maxmzng model to answer two questons: () what are the cost-related factors that determne the suly of a loan y tradtonal anks and mcrofnance nsttutons (FIs)?; and () why s the suly of mcro loan zero under a ank s maxmzaton rolem whle t s ostve under the maxmzaton rolem of an FI? We fnd that costs assocated wth default, nformaton asymmetry and lalty determne the suly of a loan y a fnancal nsttuton. Furthermore, we show that under certan condtons (that we derve) a ank may make a loss f t rovdes mcro loan. As a result, t does not suly mcro loan. Keywords: Bank, Grou endng, crofnance Insttutons, Jont alty, cro oans JE classfcaton: D24, G21 1. INTRODUCTION It has now een estalshed n the lterature that fnancal develoment enhances economc growth (e.g., studes y Alfaro et al. (2004) and evne (2005)). owever, most of the less develoed countres (DCs) have thn fnancal system. For examle, domestc credt rovded y the ankng sector n the less develoed countres such as Chad and Tanzana s as low as 17 ercent of GDP. Ths comares wth 173 ercent for the develoed countres, such as the U.. and Jaan (World Bank (2008)). Furthermore, n most DCs, the oor do not have access to credt from formal fnancal nsttutons. There are at least three reasons why anks n DCs do not rovde credt to these domestc resdents. Frst, t s dffcult for anks to evaluate the credt worthness of entrereneurs - n most DCs, there are no agences that track credt hstory. econd, most of the eole lve on susstence and do not have any assets to serve as collateral. * I gratefully acknowledge valuale comments from an anonymous referee and from Elzaeth Asedu.

2 60 RUBANA AJABEEN Thrd, the sze of loan may e so small - t may not cover the cost ncurred y the ank n rocessng the loan. In resonse to ths credt rolem a new tye of fnancal nsttuton, known as mcrofnance nsttuton (FI) has emerged worldwde. FIs rovde credt to entrereneurs who do not have access to formal ank credt. The loans are small and known as mcro-credt. The World Bank stulates that there are aout 7,000 FIs oeratng worldwde. For examle, over the last two decades the numer of FIs n Bangladesh has ncreased from less than 50 to nearly 1,000, an ncrease of aout 1,900% (CDF (2005)). Currently, FIs n Bangladesh serve aout 11 mllon households. The 2006 Noel Peace Prze was awarded to uhammad Yunus for oneerng the dea of mcrocredt and settng u the Grameen Bank, a mcrofnance nsttuton of Bangladesh. The mortance of mcrofnance s also evdent n the fact that The Unted Natons declared the year 2005 as the Year of crocredt. FIs engage n oth ndvdual lendng and grou lendng n rovdng loans. owever, the mostly used method s grou lendng; orrowers form grous to otan loans. 1 The dea s that wthn grous there s no nformaton asymmetry - each memer of a grou has nformaton aout the erformance of the roject undertaken y the other memers of the grou as well as the credt worthness of the other memers. Furthermore, wthn a grou all memers are jontly lale for each loan and defaultng on a loan can lead to non-refnancng n the future. As a result there s an ncentve for memers to montor each other. Ths reduces the costs of the FIs assocated wth lendng, such as gatherng nformaton, montorng rojects or audtng orrowers. In addton the jont lalty feature ovates the need for collateral, ecause each memer serves as collateral for other memers. The growng numer of FIs n DCs and ther success has romted the rofessonals, racttoners and researchers to concentrate on the ssue of commercalzaton of mcrofnance. 2 Countres n atn Amerca and Afrca have develoed legal structure and secfc regulatons for sustanale growth of mcrofnance ndustry. any FIs have started concentratng on usng market-ased rncles n ther oeratons whle mantanng fnancal self-suffcency. For examle, FIs n Inda and Camoda rely mostly on deosts and commercally rced sources for fundng. Exerence of FIs, lke, AA n Bangladesh dects that t s ossle to attan hgh effcency (or low cost) whle servng oor clents. Gven ths scenaro t s mortant to conduct a rgorous economc analyss that comares the two tyes of nsttutons: tradtonal anks and FIs. Ths aer rovdes an analyss of the cost structure of FIs and tradtonal commercal anks. There s a vast lterature on FIs (see Brau and Woller (2004), for a lterature revew). ost of the aers on FIs, (e.g., Ghatak (1999), affont (2003)) 1 For detals aout grou formaton see Ghatak (1999). 2 Ths necessarly mles the alcaton of market-ased rncles to mcrofnance.

3 ON TE PROVIION OF ICRO OAN 61 attrute the lack of lendng to oor entrereneurs - to a lack of collateral and/or nformaton asymmetry. We however note that anks may e reluctant to lend f the cost of rocessng a loan s very hgh. Ths argument s artcularly relevant for the oor. The reason s that tycally, the amount of loan requests from oor households tend to e small and the costs of rocessng the loan (whch ncludes nformaton gatherng, aer work, etc.) tend to e hgh. Indeed, the name, mcro-credt s a clear ndcaton that the loan sze s ertnent to any analyss of FIs. Ths aer constructs a utlty maxmzng model to answer two questons. Frst, what are the cost-related factors that determne the suly of a loan y tradtonal anks and FIs? econd, why s the suly of mcro loan zero under a ank s maxmzaton rolem whle t s ostve under the maxmzaton rolem of an FI? We fnd that costs assocated wth default, nformaton asymmetry and lalty determne the suly of a loan y a fnancal nsttuton. Furthermore, we show that under certan condtons (that we derve) a ank may make a loss f t rovdes mcro loan. As a result, t does not suly mcro loan. The aer s organzed as follows. ecton 2 derves the models that cature the ehavor of commercal anks and FIs and ecton 3 rovdes a summary of our fndngs and concluson. 2. TE ODE There are two general aroaches to modelng tradtonal anks: structural and non-structural. The nonstructural aroach focuses on acheved erformance and s measured y a varety of fnancal ratos, such as return-on-asset, return-on-equty, or the rato of fxed costs to total costs, and the structural aroach reles on the economcs of cost mnmzaton or roft maxmzaton (ughes and ester, 2008). We follow the structural aroach, however, we devate from the lterature n ths area (e.g., studes y ughes et al., 2000; and ughes et al., 2001) y forgong the agency rolem (ank manager s ehavor) and focusng on ank s ortfolo choce of asset allocaton (rovson of varous loans). One mortant contruton of ths aer s that we extend the exstng lterature y alyng the structural aroach n analyzng the ehavor of a new tye of fnancal nsttuton: FIs. Recall that one of our goals s to determne the otmzed ortfolo choce of asset allocatons of FI and tradtonal anks. For the model we assume that oth fnancal nsttutons have a CE utlty functon. One advantage of the CE functon s that t enhances the modelng rocess y aggregatng the dfferent knds of assets (or loans) nto one equaton. We however note that generally, the CE utlty functon s used to model the ehavor of fnancal nsttutons n a comutale general equlrum (CGE) model, and s rarely emloyed n a artal equlrum analyss of fnancal nsttutons. 3 3 For examle, see Decaluwe and Nsengyumva (1994) and Naastead (2002). Unlke these studes our

4 62 RUBANA AJABEEN Thus, one of the contrutons of ths aer s that t adds to the scant lterature that emloys CE utlty functon to study fnancal nsttutons n a artal equlrum settng. Furthermore, to the est of our knowledge, t s the frst study to utlze a CE utlty functon to analyze FIs. As onted out earler, the nalty of oor entrereneurs to otan loans from the formal ankng system may e artly due to the costs related to rovdng loans to these orrowers. Therefore, n modelng the otmzaton rolems of commercal anks and FIs, we wll focus on ther cost structure. Two asects of the cost structure are vtal for our analyss. Frst, the transacton cost of rocessng nformaton aout the orrowers, for examle, the cost of audtng a orrower. In ths case, we follow the costly state verfcaton set u gven y Townsend (1979). 4 The second asect ertans to the management cost of rovdng the fnancal servces. Ths s reresented y a ank s technology. We assume that fnancal nsttutons ehave lke any other otmzng agent. 5 Usually, loans suled y a fnancal nsttuton are consdered as ts assets whle deosts ket y the savers n a fnancal nsttuton are consdered as ts laltes. We assume a comettve fnancal market where the ank and the FI earn zero rofts. 6 Gven ths set u, n ecton 2.1 we construct a model to analyze the ehavor of tradtonal anks and n ecton 2.2 we derve the model of FIs A Commercal Bank We assume that, the loans rovded y a commercal ank can e dvded nto two tyes of loans: short-term loan and long term loan. hort term loans are for the urose of workng catal and can e ether large () or mcro () n sze. ong-term loans () are for the urose of nvestment exendtures, consumton, house uldng, etc. For smlcty we assume that, the commercal ank otans ts resources only from deosts of households. It then uses these funds to rovde three dfferent loans. aer has ntroduced roalty of default and the cost of audtng a defaulted orrower n the otmzaton rolem of a fnancal nsttuton. 4 Accordng to Townsend s (1979) costly state verfcaton, a orrower wll e audted when he/she fals to meet contractual olgatons. 5 Our models of the fnancal nsttutons evolve around the deas gven y Bernanke et al. (1999), Ghatak (1999), Ghatak and Gunnane (1999) and ughes and ester (1994). 6 The zero rofts of FIs are assumed to ncororate the sustanalty ssue, namely, fnancal self-suffcency of FIs. oreover, n countres lke, Bangladesh and exco FIs oerate n comettve framework. Daley-arrs, drector of crocredt ummt Camagn, asserts that, y studyng the case of Bangladesh, the world s most saturated mcrofnance market, t would e ossle to redct what could haen n other cases f FIs are constructed wth the same care as n Bangladesh (Daley-arrs, Polln and ontgomery (2007)).

5 ON TE PROVIION OF ICRO OAN 63 A orrower s characterzed y the roalty of default. It s assumed, that assocated wth loan of tye a orrower has a roalty of default (0,1) where =,,. If the orrower makes reayment, ank gets ( 1 ) r A where, r s the nterest rate on loan and A s the amount of loan. But, f the orrower defaults, the ank audts hs/her roject and lqudates the roject. We assume that the amount lqudated s equal to β A, where, β s the roorton of defaulted loan recovered y the commercal ank. At the same tme, the ank ears a cost of audtng μ β A, where, μ s the cost coeffcent of audtng defaulted loan. Therefore, the varale cost of rovdng loan s μ β A and the ank receves a return of ( ) r A β A + 1. A ank also ears a fxed cost of oeraton and mantenance, FC and costs of lalty, namely, nterest ( r D ) ad on deosts ( D ). We assume that, the ank maxmzes a constant elastcty of susttuton (CE) tye of utlty functon suject to two constrants. The frst constrant, gven n Equaton (1), s the udget constrant or the zero roft functon. Proft of the commercal ank s the returns from defaulted and non-defaulted loans mnus cost of audtng defaulted loans, nterest ayments on deosts and fxed costs. β + ( 1 ) r + β + ( 1 ) r + β + ( 1 ) μ β μ β μ β r D D FC = 0. r (1) The second constrant, Equaton (2), reresents the cost of rocessng a small sze loan. Ths ncludes cost of nformaton gatherng, aer work, etc. The admnstratve cost of a loan, lke, ook-keeng cost, s an mortant art of the cost structure of a ank. When makng a decson aout a mcro loan a ank tres to cover the cost of rocessng the loan y the earnng from that loan. The cost of oeratng the loan should not exceed a threshold level. 7 In our model ths level s reresented y K. Ths mles: μ β K. (2) Gven Equatons (1) and (2) the ank s ojectve s to choose the comnaton of three loans that would maxmze ts utlty: 7 As there s a maxmum, usually, set y the central ank, on the nterest rate that could e charged and to maxmze the net nterest margn, every ank has a mnmum loan level elow whch t would never go. For examle, tradtonal anks would not lend out a small loan of $500 as t would not cover the cost. For such a mcro sze loan, ether the orrower s suggested y commercal anks to use ones credt card or the orrower has to fnd a non-nsttutonal source, lke, relatves, frends and moneylenders.

6 64 RUBANA AJABEEN ax U 1 σ σ σ σ [ δ ( ) + δ ( ) + δ ( ) ] =, (3) where, δ s the CE dstruton arameters n ank s ortfolo ( =, and ) and σ s the susttuton arameter n ank s utlty functon. The rolem of the ank can e rewrtten as: σ σ σ [ δ ( ) + δ ( ) + δ ( ) ] ax F = μ β + μ β + λ + ρ [ K μ β ], 1 σ ( 1 ) r β ( 1 ) r β ( 1 ) + μ β + rd D + FC + β (4) r where, λ s the margnal value of ank s roft, and ρ margnal eneft from relaxng the constrant on the varale cost of mcro loans or margnal cost from tghtenng that constrant. The frst constrant s a ndng constrant and λ s therefore, ostve. As the second constrant s an nequalty constrant, therefore, ρ could e ether zero or ostve. We now turn our attenton to the mcro loan. Note that under the ank s rolem, the suly of mcro loan,, wll e zero f the frst order condton wth resect to s negatve: 8 [ μ β β ( 1 ) r ] ρ [ μ β ] 0, F : λ < or, λ ( C R ) ρ ( C ) < 0, (5) where, R = β + ( 1 ) r s the margnal revenue earned y the ank from mcro loan, C = μ β s the margnal cost orn y the ank on mcro loan and π = R C s the margnal roft of the ank on mcro loan. Two scenaros can arse from Equaton (5). cenaro 1. If margnal value of the ank s roft s ostve and the margnal eneft of relaxng the constrant on the varale cost of mcro loans s also ostve then the margnal revenue from mcro loan could e ether greater than or equal to or less than the margnal cost of mcro loan. Proof. ee Aendx A. 8 The Kuhn-Tucker condtons for the rolem of the ank are F < 0, = 0 and F = 0.

7 ON TE PROVIION OF ICRO OAN 65 cenaro 1 mles that there s a osslty that the margnal cost of mcro loan could exceed the margnal eneft of mcro loan. Therefore, accordng to ths cost-eneft analyss the osslty of negatve margnal roft rohts the ank from sulyng mcro loan. As a utlty otmzer, t s economcally ratonal for a ank not to suly a roduct, namely, mcro loan, as there s a osslty of makng a loss y dong so. cenaro 2. If margnal value of the ank s roft s ostve and the margnal eneft of relaxng the constrant on the varale cost of mcro loans s zero then the margnal revenue from mcro loan would e greater than the margnal cost of rovdng that loan. Proof. ee Aendx A. Postve margnal roft otaned from mcro loan does not justfy why commercal anks do not suly ths loan. Therefore, we gnore ths osslty. oluton to the ank s rolem yelds (see Aendx A for detals): [ r D FC ] = 1 D +, (6) T = 0, (7) ψ ψ = B X, (8) T r where, = [ β + ( 1 ) μ β] + [ β + ( 1 ) μ β ] [ β + ( 1 ) r μ β ] δ 1 B =, X = and, ψ = [ β + ( 1 ) r μ β ] δ 1 + σ susttuton n ank s utlty functon. r B ψ X ψ s the elastcty of Our results may e summarzed as follows: Result 1. The suly of ank loans deends on the nterest rates charged on dfferent loans ( r ), cost coeffcent of audtng defaulted loans ( μ ), orrower s default roalty ( ), roorton of defaulted loans recovered ( β ), fxed cost ( FC ) and lalty cost ( r D D ). Result 2. It s not always otmal for a ank, usng ts tradtonal framework, to rovde a certan tye of loan, n ths case the mcro loan. 9, 9 In recent tme erod some tradtonal anks are actve n the mcrocredt market. owever, they usually

8 66 RUBANA AJABEEN 2.2. A crofnance Insttuton Behavor of a FI can e exlaned under a smlar setu as that of a commercal ank. We assume that the loans suled y a FI can e dvded nto two tyes of loans: mcro loan () for the urose of workng catal and small housng loan (). 10 mlar to the commercal ank, for smlcty we assume that, the FI otans ts funds through deosts of households only. 11 We assume that, FIs use grou-lendng method to rovde loans. For smlcty, we assume a grou sze of two and that the grou memers are alke. 12 owever, two memers receve two searate ut dentcal loans. Grou memers are characterzed y ther roalty of default. For examle, n case of loan, each memer n a grou has a roalty of default of j (0,1) where =, and j = 1,2. Whenever one memer of the grou defaults, the non-defaultng artner has to make a ayment of c where 0 < c < 1. It s a fracton of A, the amount of loan. If the memer decdes to reay the loan then he/she has to ay the followng two amounts: ayment for own loan, ( 1 1 ) r A where, r s the nterest rate charged on loan and ayment for jont lalty c 2( 1 1) A f hs/her artner defaults. When oth memers default, the FI audts the roject and lqudates the roject. We assume that the amount lqudated s equal to 1 2 β A, where, β s the roorton of defaulted loan recovered y the FI. Note that under ths scenaro, the frequency of audtng a loan (or a orrower) decreases relatve to the ank s rolem. 13 As a consequence, the overall cost of audtng s less under the rolem of FI. Nevertheless, the FI may stll ncur some audtng cost, whch s μ 1 2β A where, μ s the cost coeffcent of audtng defaulted loan. Therefore, the varale cost of rovdng loan to one memer of the grou s μ 1 2β A and the FI gets a return of 1 2β A + ( 1 1) r A + c 2( 1 1) A. mlar to the ank, the FI also ncurs some general costs such as fxed costs of have searate sectons or ranches that oerate n ths market. These ranches have smlar structure as the FIs. 10 Though not all, ut many of the FIs rovde loans, other than mcro loan, for dfferent uroses to ther customers. mall housng loan s used as a reresentatve of these dfferent urosed loans. 11 any of the FIs have started concentratng on deosts y savers, equtes sold, loans from other fnancal nsttutons as ther sources of funds. Accordng to crobankng Bulletn (crofnance Informaton Exchange (2007)), even though some funds are susdzed, y the end of 2006 almost 70 ercent of the fundng of a FI came through commercal orrowng and deosts. 12 Ths small sze of the grou would cature the man essence of the model. arger grou sze would manly, make comutatons comlex rather than changng any results. 13 The reason s that under the FI audtng occurs only when all the memers of a grou defaults. In contrast, the ank audts each orrower that defaults.

9 ON TE PROVIION OF ICRO OAN 67 oeraton and mantenance, deosts ( D ). FC and lalty costs, namely, nterest ( r D ) ad on The FI maxmzes a CE utlty functon suject to ts udget constrant. The zero roft functon s the udget constrant of the FI. Proft of the FI s the returns from defaulted and non-defaulted loans lus jont lalty ayment mnus cost of audtng defaulted orrowers, nterest ayments on deosts and fxed costs. It s gven n Equaton (9). 1 + c 2 2β + ( 1 1) r + c 2( 1 1) + 1 2β + ( 1 1) r ( 1 ) μ β μ β r D FC = D (9) Unlke the tradtonal commercal ank, the FI does not face any addtonal constrant on the varale cost of mcro loan. ecfcally, one of the man functons of FIs s the rovson of mcro loans. Rather than one large loan FIs rovde a numer of small loans, n ths case two mcro loans. Gven Equaton (9) the FI chooses the comnaton of the two loans that would maxmze ts utlty: 14 1 σ [ ] σ σ ax U δ + ( 1 δ ) =, (10) where, δ s the share of mcro loan n the ortfolo of the FI and σ s the susttuton arameter n the CE utlty functon of the FI. oluton to the FI s rolem yelds (see Aendx B for detals): [ r D FC ] = 1 D +, (11) T ψ ψ = J V, (12) where, T = [ 1 2β + ( 1 1) r + c 2( 1 1) μ 1 2β ] ψ ψ [ β + ( 1 ) r + c ( 1 ) μ β ] J V, Usually, outreach, reachng the maxmum numer of orrowers, s regarded as one of the goals of FIs. We tred to cature that asect through loans nstead of clents.

10 68 RUBANA AJABEEN [ 1 2β + ( 1 1) r + c 2( 1 1) μ 1 2β ] [ β + ( 1 ) r + c ( 1 ) μ β ] J =, ψ 1 1 = 1 + σ s the elastcty of susttuton n FI s utlty functon. ( 1 δ ) V = and, δ Our results may e summarzed as follows: Result 3. The suly of loans y a FI deends on the nterest rates charged on dfferent loans ( r ), cost coeffcent of audtng defaulted loans ( μ ), orrower s own default roalty ( 1 ), default roalty of other memer of the same grou ( 2 ), roorton of defaulted loan recovered ( β ), jont lalty ayment ( c ), fxed cost FC ) and lalty cost ( r D D ). ( Result 4. Unlke a tradtonal ank t s otmal for a FI to rovde mcro loan to ts orrowers. As a utlty otmzer, t s economcally ratonal for a FI to suly mcro loan, as t s ossle to make ostve margnal roft y dong so Dscusson of Results Our results show that suly of each tye of loan s determned y the returns from the loan as well as the costs of rovdng the loan. Note that Results 1 and 3 hghlght the dfference etween tradtonal anks and FIs. ecfcally, FIs dffer from commercal anks wth resect to the cost of default (default roalty of other memer of the grou and jont lalty ayment) and the cost of nformaton (frequency of audtng the defaulted loan and cost of rocessng mcro loan). All other costs, namely, fxed costs, nterest ayment on deosts, nterest charged on dfferent loans and orrower s own roalty of default exst for oth commercal anks and FIs. Thus our results ndcate that the cost structure of a fnancal nsttuton lays an mortant role n the suly of the varous tyes of loans. Our results also suggest that one reason why tradtonal anks do not rovde loans to mcro entrereneurs s that they want to mnmze rsk and cost. A natural queston that arses s ths: why don't tradtonal anks adot jont lalty lendng to mtgate the cost and rsk assocated wth mcro lendng? 15 A lausle exlanaton s that among other factors the organzatonal structure of a ank deends on the envronment under whch t oerates, namely, roerty rghts, legal set u, charterng rules and government 15 ometmes when collateral s nsuffcent to avod rsk or costs, anks use co-sgnng rncle whch s dfferent from the jont lalty lendng. Under the jont lalty lendng all the grou memers are jontly lale for all loans whle under co-sgner method only the co-sgner s lale for the loan alcant ut the loan alcant s not lale for the co-sgner (Gangoadhyay and ensnk (2009)).

11 ON TE PROVIION OF ICRO OAN 69 regulatons (ughes and ester (2008)). 16 Adoton of jont lalty lendng y the tradtonal anks requres some change n the exstng envronment. Intatng a change of the aove-mentoned factors s hghly costly and outsde the scoe of a tradtonal ank. Evdently, anks do not attemt to serve the mcro loan orrowers (through jont lalty lendng) as the relatve contrutons such a movement wll make to roft are smaller than f they serve the large loan orrowers. 3. CONCUION crofnance nsttutons (FIs) have ecome ncreasngly mortant n DCs. An mortant dfference etween FIs and commercal anks s that FIs rovde mcro credt, ut anks, under the tradtonal framework, generally do not. Ths aer constructs a utlty maxmzaton model to analyze the cost structure of FIs and tradtonal commercal anks. It also derves the condtons under whch a ank wll not ssue mcro loans. Frst, we fnd that the costs assocated wth default, nformaton asymmetry and lalty determne the suly of a loan y a fnancal nsttuton. econd, f the margnal value of the ank s roft s ostve and the margnal eneft of relaxng the constrant on the varale cost of mcro loans s also ostve then there s a osslty that the margnal revenue from mcro loan could e less than the margnal cost of mcro loan. As a consequence no mcro loan s ssued. Aendx A. odel of a Commercal Bank The rolem of the ank can e rewrtten as: ax F = σ σ σ [ δ ( ) + δ ( ) + δ ( ) ] μ β + μ β + λ + ρ [ K μ β ]. + μ 1 σ β + rd D + FC β r ( 1 ) r β ( 1 ) r β ( 1 ) (A.1) Our am s to fnd out the condtons, under whch a commercal ank sules ostve amounts of and and zero amount of. ettng the frst order condtons 16 Dscussons on these ssues are eyond the scoe of ths aer.

12 70 RUBANA AJABEEN wth resect to and equal to zero, we have: ( 1+ 1 )[ ( ) ( ) σ 1+ σ Z δ A ] = λ [ β + ( 1 ) r μ β ] or, U λ ( R C ) = λ π =, (A.2) σ σ σ where, Z = δ ( ) + δ ( ) + δ ( ), ( ) ( ) + ( ) ( 1+ σ ) U = Z σ δ A margnal utlty derved y the ank from loan tye, R = + ( 1 ) r, [ ] 1 1 s the β s the margnal revenue earned y the ank from loan tye, C = μ β s the margnal cost orn y the ank on loan tye and π = R C s the margnal roft of the ank on loan tye ( = and ). We assume that, U, R, C and π are ostve. Gven ostve margnal utlty and a ostve λ, Eequaton (A.2) mles that, the ank would choose to suly ostve amount of (or ) f the margnal revenue from (or ) were greater than the margnal cost of rovdng (or ). Now for the suly of mcro loan to e zero, frst order condton wth resect to needs to e negatve. The frst order condton would then change to the followng form: F : [ μ β β ( 1 ) r ] ρ [ μ β ] < 0 or, ( ) ( ) 0 λ, λ C R ρ C <. (A.3) cenaro 1. If margnal value of the ank s roft s ostve and the margnal eneft of relaxng the constrant on the varale cost of mcro loans s also ostve then the margnal revenue from mcro loan could e ether greater than or equal to or less than the margnal cost of mcro loan. Proof of cenaro 1. If oth the agrange multlers λ and ρ, and margnal cost and margnal revenue of mcro loan are ostve then the second term of Equaton (A.3), ( ) C ρ wll e ostve. The frst term ( C R ) ostve, zero or negatve deendng on whether than R. [ λ C R ρ C Now, Equaton (A.3), ( ) ( )] λ can e ether C s greater than, equal to or less wll e negatve, f ρ ( C )] s ostve and, If C < R so that [ λ ( C R )] s negatve or, If C = R so that [ λ ( C R )] s zero or, If C > R so that λ ( C R )] s ostve. [ [

13 ON TE PROVIION OF ICRO OAN 71 The thrd oton mles that, there s a osslty that the margnal cost of mcro loan could exceed the margnal eneft of mcro loan. cenaro 2. If margnal value of the ank s roft s ostve and margnal eneft of relaxng the constrant on the varale cost of mcro loans s zero then the margnal revenue from mcro loan would e greater than the margnal cost of rovdng that loan. Proof of cenaro 2. If ρ = 0 then the second term n Equaton (A.3), ( C ) ρ ecomes zero. Wth > 0 negatve s f R > C. B. odel of a FI λ the only way ( C R ) λ can e The rolem of the FI can e rewrtten as: ax F = + λ σ σ [ δ + (1 δ ) ] μ 1 β + μ 1 σ β + r + FC 1 2β ( 1 1) r c 2( 1 1) 1 2β ( ) ( ) 1 r c D D (B.1) As the FI faces a ndng constrant, λ s ostve. To fnd out the condtons under whch the FI rovdes ostve amount of and we set the frst order condtons wth resect to and equal to zero. Z σ [ ( ) ( 1+ σ ) δ A ] = λ [ β + ( 1 ) r + c ( 1 ) μ β ] 1 2 or, ( ) 1 U = λ R C = λ π, (B.2) σ where, Z = δ + 1 δ ) U = Z σ δ A s the margnal utlty derved y the FI from loan tye, R = 1 2β + ( 1 1) r + c s the margnal revenue earned y the FI from loan tye, C ( ) μ 1 2 σ (, ( ) ( ) ( 1+ σ ) [ ] = β s the margnal cost orn y the FI on loan tye and π = R C s the margnal roft of the FI on loan tye ( = and ). We, In case of, δ s relaced y 1 δ ) (.

14 72 RUBANA AJABEEN assume that, U, R, C and π are ostve. Therefore, gven the ostve margnal utlty and a ostve λ Equaton (B.2) mles that, the FI would suly ostve amount of loan (or ), f margnal revenue from (or ) were greater than margnal cost of rovdng (or ). REFERENCE Alfaro,., A. Chanda,. Kaleml-Ozcan, and. ayek (2004), FDI and Economc Growth: The Role of ocal Fnancal arkets, Journal of Internatonal Economcs, 64, Bernanke, B.,. Gertler, and. Glchrst (1999), The Fnancal Accelerator n a Quanttatve Busness Cycle Framework, n Taylor, T.B., and. Woodford, eds., andook of acroeconomcs 1, North-olland, Amsterdam. Brau, J.C., and G.. Woller (2004), crofnance Insttutons: A Comrehensve Revew of the Exstng terature and an Outlne for Future Research, Journal of Entrereneural Fnance and Busness Ventures, 9, Credt and Develoment Forum (2005), CDF tatstcs: crofnance Data Bank of FI-NGOs, Credt and Develoment Forum, Bangladesh. Daley-arrs,., R. Polln, and F. ontgomery (2007), Deate on crocredt, Foregn Polcy n Focus, Washngton D.C. Decaluwe, B., and F. Nsengyumva (1994), Polcy Imact under Credt Ratonng: A Real and Fnancal CGE of Rwanda, Journal of Afrcan Economes, 3, Gangoadhyay,., and R. ensnk (2009), Co-gned oans versus Jont alty endng n an Adverse electon odel, Research Paer, 09/05, Centre for Analytcal Fnance, Indan chool of Busness, Inda. Ghatak,. (1999), Grou endng, ocal Informaton and Peer electon, Journal of Develoment Economcs, 60, Ghatak,., and T.W. Gunnane (1999), The Economcs of endng wth Jont alty: Theory and Practce, Journal of Develoment Economcs, 60, ughes, J.P., W. ang,.j. ester, and C.-G. oon (2000), Recoverng Rsky Technologes Usng the Almost Ideal Demand ystem: An Alcaton to U.. Bankng, Journal of Fnancal ervces Research, 18, ughes, J.P., and.j. ester (2008), Effcency n Bankng: Theory, Practce and Evdence, Workng Paer, 08/01, Federal Reserve Bank of Phladelha, Pennsylvana. (1994), Bank anagers Ojectves, Workng Paer, 94/08, Federal Reserve Bank of Phladelha, Pennsylvana. ughes, J.P.,.J. ester, and C.-G. oon (2001), Are cale Economes n Bankng

15 ON TE PROVIION OF ICRO OAN 73 Elusve or Illusve? Evdence Otaned y Incororatng Catal tructure and Rsk-Takng nto odels of Bank Producton, Journal of Bankng and Fnance, 25, affont, J.J. (2003), Colluson and Grou endng wth Adverse electon, Journal of Develoment Economcs, 70, evne, R. (2005), Fnance and Growth: Theory and Evdence, n Aghon, P., and.n. Durlauf, eds., andook of Economc Growth 1, Elsever, North-olland. crofnance Informaton Exchange, Inc. (2007), crobankng Bulletn, 15, Washngton D.C. Naastead, C.W.. (2002), Effectve uly Falures and tructural Adjustment: A Real-Fnancal odel wth Reference to Inda, Camrdge Journal of Economcs, 26, Townsend, R.. (1979), Otmal Contracts and Comettve arkets wth Costly tate Verfcaton, Journal of Economc Theory, 21, The World Bank (2008), World Develoment Indcators, The World Bank, Washngton D.C. alng Address: 100 E Normal treet, Deartment of Economcs, Truman tate Unversty, Krksvlle, O 63501, UA. E-mal: mruana@truman.edu. Receved Arl 1, 2008, Revsed etemer 21, 2009, Acceted Novemer 21, 2009.

Can Auto Liability Insurance Purchases Signal Risk Attitude?

Can 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 information

Portfolio Loss Distribution

Portfolio Loss Distribution Portfolo Loss Dstrbuton Rsky assets n loan ortfolo hghly llqud assets hold-to-maturty n the bank s balance sheet Outstandngs The orton of the bank asset that has already been extended to borrowers. Commtment

More information

An Alternative Way to Measure Private Equity Performance

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 information

Payment Cards and Cash.

Payment Cards and Cash. Interchange Fees and Ine cences n the Substtuton between Payment Cards and Cash. Maranne Verder June 7, 2010 Abstract Ths artcle exlans why the collectve determnaton of nterchange fees n ayment latforms

More information

JCM_VN_AM003_ver01.0 Sectoral scope: 03

JCM_VN_AM003_ver01.0 Sectoral scope: 03 Sectoral scoe: 03 Jont Credtng Mechansm Aroved Methodology VN_AM003 Imrovng the energy effcency of commercal buldngs by utlzaton of hgh effcency equment A. Ttle of the methodology Imrovng the energy effcency

More information

A Study on Secure Data Storage Strategy in Cloud Computing

A Study on Secure Data Storage Strategy in Cloud Computing Journal of Convergence Informaton Technology Volume 5, Number 7, Setember 00 A Study on Secure Data Storage Strategy n Cloud Comutng Danwe Chen, Yanjun He, Frst Author College of Comuter Technology, Nanjng

More information

Answer: 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

Answer: 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 information

Kiel Institute for World Economics Duesternbrooker Weg 120 24105 Kiel (Germany) Kiel Working Paper No. 1120

Kiel Institute for World Economics Duesternbrooker Weg 120 24105 Kiel (Germany) Kiel Working Paper No. 1120 Kel Insttute for World Economcs Duesternbrooker Weg 45 Kel (Germany) Kel Workng Paper No. Path Dependences n enture Captal Markets by Andrea Schertler July The responsblty for the contents of the workng

More information

The Short-term and Long-term Market

The Short-term and Long-term Market A Presentaton on Market Effcences to Northfeld Informaton Servces Annual Conference he Short-term and Long-term Market Effcences en Post Offce Square Boston, MA 0209 www.acadan-asset.com Charles H. Wang,

More information

Kiel Institute for World Economics Duesternbrooker Weg 120 24105 Kiel (Germany) Kiel Working Paper No. 1119

Kiel Institute for World Economics Duesternbrooker Weg 120 24105 Kiel (Germany) Kiel Working Paper No. 1119 Kel Insttute for World Economcs Duesternbrooker Weg 120 24105 Kel (Germany) Kel Workng Paper No. 1119 Under What Condtons Do Venture Captal Markets Emerge? by Andrea Schertler July 2002 The responsblty

More information

ADOPTION OF BIG DATA ANALYTICS IN HEALTHCARE: THE EFFICIENCY AND PRIVACY

ADOPTION OF BIG DATA ANALYTICS IN HEALTHCARE: THE EFFICIENCY AND PRIVACY ADOPTION OF BIG DATA ANALYTICS IN HEALTHCARE: THE EFFICIENCY AND PRIVACY He L, School of Economc Informaton Engneerng, Southwestern Unversty of Fnance and Economcs, Chengdu, Chna, olverlhe@gmalcom Jng

More information

Addendum to: Importing Skill-Biased Technology

Addendum 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 information

INVENTORY MANAGEMENT REVISED

INVENTORY MANAGEMENT REVISED Scence & Mltary 2/2011 INVENTORY MANAGEMENT REVISED Analyss of behavoral asects of decson makng wthn Sales & Oeratons Plannng rocess Peter JUREČKA Abstract: The urose of ths artcle s to extend the standard

More information

Chapter 11 Practice Problems Answers

Chapter 11 Practice Problems Answers Chapter 11 Practce Problems Answers 1. Would you be more wllng to lend to a frend f she put all of her lfe savngs nto her busness than you would f she had not done so? Why? Ths problem s ntended to make

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %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 information

Research Article Competition and Integration in Closed-Loop Supply Chain Network with Variational Inequality

Research Article Competition and Integration in Closed-Loop Supply Chain Network with Variational Inequality Hndaw Publshng Cororaton Mathematcal Problems n Engneerng Volume 2012, Artcle ID 524809, 21 ages do:10.1155/2012/524809 Research Artcle Cometton and Integraton n Closed-Loo Suly Chan Network wth Varatonal

More information

Financial Mathemetics

Financial Mathemetics Fnancal Mathemetcs 15 Mathematcs Grade 12 Teacher Gude Fnancal Maths Seres Overvew In ths seres we am to show how Mathematcs can be used to support personal fnancal decsons. In ths seres we jon Tebogo,

More information

7.5. Present Value of an Annuity. Investigate

7.5. Present Value of an Annuity. Investigate 7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on

More information

THE DETERMINANTS OF THE TUNISIAN BANKING INDUSTRY PROFITABILITY: PANEL EVIDENCE

THE DETERMINANTS OF THE TUNISIAN BANKING INDUSTRY PROFITABILITY: PANEL EVIDENCE THE DETERMINANTS OF THE TUNISIAN BANKING INDUSTRY PROFITABILITY: PANEL EVIDENCE Samy Ben Naceur ERF Research Fellow Department of Fnance Unversté Lbre de Tuns Avenue Khéreddne Pacha, 002 Tuns Emal : sbennaceur@eudoramal.com

More information

Intra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error

Intra-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 information

Leveraged Firms, Patent Licensing, and Limited Liability

Leveraged Firms, Patent Licensing, and Limited Liability Leveraged Frms, Patent Lcensng, and Lmted Lablty Kuang-Cheng Andy Wang Socal Scence Dvson Center for General Educaton Chang Gung Unversty and Y-Je Wang Department of Economcs Natonal Dong Hwa Unversty

More information

The timing ability of hybrid funds of funds

The timing ability of hybrid funds of funds The tmng ablty of hybrd funds of funds Javer Rodríguez* Graduate School of Busness Admnstraton Unversty of Puerto Rco PO 23332 San Juan, PR 00931 Abstract Hybrd mutual funds are funds that nvest n a combnaton

More information

Solution: 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.

Solution: 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 information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute 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 information

17 Capital tax competition

17 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 information

Reporting Forms ARF 113.0A, ARF 113.0B, ARF 113.0C and ARF 113.0D FIRB Corporate (including SME Corporate), Sovereign and Bank Instruction Guide

Reporting Forms ARF 113.0A, ARF 113.0B, ARF 113.0C and ARF 113.0D FIRB Corporate (including SME Corporate), Sovereign and Bank Instruction Guide Reportng Forms ARF 113.0A, ARF 113.0B, ARF 113.0C and ARF 113.0D FIRB Corporate (ncludng SME Corporate), Soveregn and Bank Instructon Gude Ths nstructon gude s desgned to assst n the completon of the FIRB

More information

Using Series to Analyze Financial Situations: Present Value

Using Series to Analyze Financial Situations: Present Value 2.8 Usng Seres to Analyze Fnancal Stuatons: Present Value In the prevous secton, you learned how to calculate the amount, or future value, of an ordnary smple annuty. The amount s the sum of the accumulated

More information

Problem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative.

Problem Set 3. a) We are asked how people will react, if the interest rate i on bonds is negative. Queston roblem Set 3 a) We are asked how people wll react, f the nterest rate on bonds s negatve. When

More information

Efficient Computation of Optimal, Physically Valid Motion

Efficient Computation of Optimal, Physically Valid Motion Vol. xx No. xx,.1 5, 200x 1 Effcent Comutaton of Otmal, Physcally Vald Moton Anthony C. Fang 1 and Nancy S. Pollard 2 1 Deartment of Comuter Scence, Natonal Unversty of Sngaore 2 Robotcs Insttute, Carnege

More information

PRIVATE SCHOOL CHOICE: THE EFFECTS OF RELIGIOUS AFFILIATION AND PARTICIPATION

PRIVATE 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 information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The 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 information

Data Breaches and Identity Theft

Data Breaches and Identity Theft Data reaches and Identty Theft Wllam Roberds Stacey L. Schreft * Federal Reserve ank of Atlanta The Mutual Fund Research Center, LLC Ths revson: Arl 8, 009 Abstract Ths aer studes the mlcatons of ayment

More information

Small pots lump sum payment instruction

Small pots lump sum payment instruction For customers Small pots lump sum payment nstructon Please read these notes before completng ths nstructon About ths nstructon Use ths nstructon f you re an ndvdual wth Aegon Retrement Choces Self Invested

More information

Recent Advances in Business Management and Marketing

Recent Advances in Business Management and Marketing Recent Advances n Busness anagement and aretng A Sales Growth odel for Small Enterrses ARTIN ACHE, ONDŘEJ ACHE Deartment of aretng, Deartment of Busness Economcs Unversty of Economcs, Prague W. Churchll

More information

Are Women Better Loan Officers?

Are Women Better Loan Officers? Are Women Better Loan Offcers? Ths verson: February 2009 Thorsten Beck * CentER, Dept. of Economcs, Tlburg Unversty and CEPR Patrck Behr Goethe Unversty Frankfurt André Güttler European Busness School

More information

The impact of bank capital requirements on bank risk: an econometric puzzle and a proposed solution

The impact of bank capital requirements on bank risk: an econometric puzzle and a proposed solution Banks and Bank Systems, Volume 4, Issue 1, 009 Robert L. Porter (USA) The mpact of bank captal requrements on bank rsk: an econometrc puzzle and a proposed soluton Abstract The relatonshp between bank

More information

Pricing Model of Cloud Computing Service with Partial Multihoming

Pricing 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 information

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit 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 information

J. Parallel Distrib. Comput.

J. 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 information

Simple Interest Loans (Section 5.1) :

Simple Interest Loans (Section 5.1) : Chapter 5 Fnance The frst part of ths revew wll explan the dfferent nterest and nvestment equatons you learned n secton 5.1 through 5.4 of your textbook and go through several examples. The second part

More information

Chapter 7: Answers to Questions and Problems

Chapter 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 information

How To Evaluate A Dia Fund Suffcency

How To Evaluate A Dia Fund Suffcency DI Fund Suffcency Evaluaton Methodologcal Recommendatons and DIA Russa Practce Andre G. Melnkov Deputy General Drector DIA Russa THE DEPOSIT INSURANCE CONFERENCE IN THE MENA REGION AMMAN-JORDAN, 18 20

More information

ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING

ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING ANALYZING THE RELATIONSHIPS BETWEEN QUALITY, TIME, AND COST IN PROJECT MANAGEMENT DECISION MAKING Matthew J. Lberatore, Department of Management and Operatons, Vllanova Unversty, Vllanova, PA 19085, 610-519-4390,

More information

A Comprehensive Analysis of Bandwidth Request Mechanisms in IEEE 802.16 Networks

A Comprehensive Analysis of Bandwidth Request Mechanisms in IEEE 802.16 Networks A Comrehensve Analyss of Bandwdth Reuest Mechansms n IEEE 802.6 Networks Davd Chuck, Kuan-Yu Chen and J. Morrs Chang Deartment of Electrcal and Comuter Engneerng Iowa State Unversty, Ames, Iowa 500, USA

More information

A New Technique for Vehicle Tracking on the Assumption of Stratospheric Platforms. Department of Civil Engineering, University of Tokyo **

A New Technique for Vehicle Tracking on the Assumption of Stratospheric Platforms. Department of Civil Engineering, University of Tokyo ** Fuse, Taash A New Technque for Vehcle Tracng on the Assumton of Stratosherc Platforms Taash FUSE * and Ehan SHIMIZU ** * Deartment of Cvl Engneerng, Unversty of Toyo ** Professor, Deartment of Cvl Engneerng,

More information

CONSUMER LINES OF CREDIT: THE CHOICE BETWEEN CREDIT CARDS AND HELOCS. In the U.S. today consumers have a choice of two major types of lines of credit

CONSUMER LINES OF CREDIT: THE CHOICE BETWEEN CREDIT CARDS AND HELOCS. In the U.S. today consumers have a choice of two major types of lines of credit CONSUMER LINES OF CREDIT: THE CHOICE BETWEEN CREDIT CARDS AND HELOCS OSU Economcs Workng Paper WP04-04 I. INTRODUCTION In the U.S. today consumers have a choce of two major types of lnes of credt credt

More information

DO LOSS FIRMS MANAGE EARNINGS AROUND SEASONED EQUITY OFFERINGS?

DO 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 information

Multiple-Period Attribution: Residuals and Compounding

Multiple-Period Attribution: Residuals and Compounding Multple-Perod Attrbuton: Resduals and Compoundng Our revewer gave these authors full marks for dealng wth an ssue that performance measurers and vendors often regard as propretary nformaton. In 1994, Dens

More information

Support Vector Machines

Support 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 information

The Mathematical Derivation of Least Squares

The Mathematical Derivation of Least Squares Pscholog 885 Prof. Federco The Mathematcal Dervaton of Least Squares Back when the powers that e forced ou to learn matr algera and calculus, I et ou all asked ourself the age-old queston: When the hell

More information

Analysis and Modeling of Buck Converter in Discontinuous-Output-Inductor-Current Mode Operation *

Analysis and Modeling of Buck Converter in Discontinuous-Output-Inductor-Current Mode Operation * Energy and Power Engneerng, 3, 5, 85-856 do:.436/ee.3.54b63 Publshed Onlne July 3 (htt://www.scr.org/journal/ee) Analyss and Modelng of Buck Converter n Dscontnuous-Outut-Inductor-Current Mode Oeraton

More information

3. Present value of Annuity Problems

3. Present value of Annuity Problems Mathematcs of Fnance The formulae 1. A = P(1 +.n) smple nterest 2. A = P(1 + ) n compound nterest formula 3. A = P(1-.n) deprecaton straght lne 4. A = P(1 ) n compound decrease dmshng balance 5. P = -

More information

! # %& ( ) +,../ 0 1 2 3 4 0 4 # 5##&.6 7% 8 # 0 4 2 #...

! # %& ( ) +,../ 0 1 2 3 4 0 4 # 5##&.6 7% 8 # 0 4 2 #... ! # %& ( ) +,../ 0 1 2 3 4 0 4 # 5##&.6 7% 8 # 0 4 2 #... 9 Sheffeld Economc Research Paper Seres SERP Number: 2011010 ISSN 1749-8368 Sarah Brown, Aurora Ortz-Núñez and Karl Taylor Educatonal loans and

More information

Industry export competitiveness and optimal quantitative strategies for international emissions trading

Industry export competitiveness and optimal quantitative strategies for international emissions trading Envronmental Economcs, Volume 5, Issue 4, 04 Tsung-Chen Lee (Tawan) Industry export compettveness and optmal quanttatve strateges for nternatonal emssons tradng Abstract Ths paper analyzes how quanttatve

More information

How To Get A Tax Refund On A Retirement Account

How To Get A Tax Refund On A Retirement Account CED0105200808 Amerprse Fnancal Servces, Inc. 70400 Amerprse Fnancal Center Mnneapols, MN 55474 Incomng Account Transfer/Exchange/ Drect Rollover (Qualfed Plans Only) for Amerprse certfcates, Columba mutual

More information

Clay House Case Study and Comparison of Two Behemoths ofEC term

Clay House Case Study and Comparison of Two Behemoths ofEC term Drk Schoenmaker (Netherlands), Thjs Bosch (Netherlands) Is the home bas n equtes and bonds declnng n Europe? Abstract Fnance theory suggests that nvestors should hold an nternatonally dversfed portfolo.

More information

Fixed income risk attribution

Fixed income risk attribution 5 Fxed ncome rsk attrbuton Chthra Krshnamurth RskMetrcs Group chthra.krshnamurth@rskmetrcs.com We compare the rsk of the actve portfolo wth that of the benchmark and segment the dfference between the two

More information

Cautiousness and Measuring An Investor s Tendency to Buy Options

Cautiousness 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 information

One Click.. Ȯne Location.. Ȯne Portal...

One Click.. Ȯne Location.. Ȯne Portal... New Addton to your NJ-HITEC Membershp! Member Portal Detals & Features Insde! One Clck.. Ȯne Locaton.. Ȯne Portal... Connect...Share...Smplfy Health IT Member Portal Benefts Trusted Advsor - NJ-HITEC s

More information

How To Calculate The Accountng Perod Of Nequalty

How 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 information

NBER WORKING PAPER SERIES CARBON MOTIVATED REGIONAL TRADE ARRANGEMENTS: ANALYTICS AND SIMULATIONS. Yan Dong John Whalley

NBER WORKING PAPER SERIES CARBON MOTIVATED REGIONAL TRADE ARRANGEMENTS: ANALYTICS AND SIMULATIONS. Yan Dong John Whalley NBER WORKING PAPER SERIES CARBON MOTIVATED REGIONAL TRADE ARRANGEMENTS: ANALYTICS AND SIMULATIONS Yan Dong John Whalley Workng Paper 14880 http://www.nber.org/papers/w14880 NATIONAL BUREAU OF ECONOMIC

More information

A NEW ACTIVE QUEUE MANAGEMENT ALGORITHM BASED ON NEURAL NETWORKS PI. M. Yaghoubi Waskasi MYaghoubi@ece.ut.ac.ir. M. J. Yazdanpanah Yazdan@ut.ac.

A NEW ACTIVE QUEUE MANAGEMENT ALGORITHM BASED ON NEURAL NETWORKS PI. M. Yaghoubi Waskasi MYaghoubi@ece.ut.ac.ir. M. J. Yazdanpanah Yazdan@ut.ac. A NEW ACTIVE QUEUE MANAGEMENT ALGORITHM BASED ON NEURAL NETWORKS M. Yaghoub Waskas MYaghoub@ece.ut.ac.r M. J. Yazdananah Yazdan@ut.ac.r N. Yazdan Yazdan@ut.ac.r Control and Intellgent Processng Center

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 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 information

Fault tolerance in cloud technologies presented as a service

Fault tolerance in cloud technologies presented as a service Internatonal Scentfc Conference Computer Scence 2015 Pavel Dzhunev, PhD student Fault tolerance n cloud technologes presented as a servce INTRODUCTION Improvements n technques for vrtualzaton and performance

More information

Overview of monitoring and evaluation

Overview of monitoring and evaluation 540 Toolkt to Combat Traffckng n Persons Tool 10.1 Overvew of montorng and evaluaton Overvew Ths tool brefly descrbes both montorng and evaluaton, and the dstncton between the two. What s montorng? Montorng

More information

Health Insurance and Household Savings

Health Insurance and Household Savings Health Insurance and Household Savngs Mnchung Hsu Job Market Paper Last Updated: November, 2006 Abstract Recent emprcal studes have documented a puzzlng pattern of household savngs n the U.S.: households

More information

The Choice of Direct Dealing or Electronic Brokerage in Foreign Exchange Trading

The 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 & Ln Wen Arzona State Unversty Introducton Electronc Brokerage n Foregn Exchange Start from a base of zero n 1992

More information

Empirical Evidence of Trade Credit Uses of Brazilian Publicly Listed Companies

Empirical Evidence of Trade Credit Uses of Brazilian Publicly Listed Companies Avalable onlne at http:// BAR, Curtba, v. 7, n. 3, art. 2, pp. 242-259, July/Sept. 2010 Emprcal Evdence of Trade Credt Uses of Brazlan Publcly Lsted Companes Rchard Sato * E-mal address: rsato@fgvsp.br

More information

Privacy, Driving Data and Automobile Insurance: An Economic Analysis

Privacy, Driving Data and Automobile Insurance: An Economic Analysis Prvacy, Drvng Data and Automoble Insurance: An Economc Analyss Adan Holls Deartment of Economcs, Unversty of Calgary Jason Strauss Deartment of Rsk Management and Insurance, Georga State Unversty November

More information

Relationship Banking and SMEs A Theoretical Analysis

Relationship Banking and SMEs A Theoretical Analysis Dscusson Paper Seres A No.470 Relatonshp Bankng and SMEs A Theoretcal Analyss Tmo Baas (DIW Berln [German Insttute for Economc Research]) and Mechthld Schrooten (Assocate Professor, The Insttute of Economc

More information

The Pricing Strategy of the Manufacturer with Dual Channel under Multiple Competitions

The Pricing Strategy of the Manufacturer with Dual Channel under Multiple Competitions Internatonal Journal of u-and e-servce, Scence and Technology Vol.7, No.4 (04), pp.3-4 http://dx.do.org/0.457/junnesst.04.7.4. The Prcng Strategy of the Manufacturer wth Dual Channel under Multple Compettons

More information

Evaluation of the information servicing in a distributed learning environment by using monitoring and stochastic modeling

Evaluation of the information servicing in a distributed learning environment by using monitoring and stochastic modeling MultCraft Internatonal Journal of Engneerng, Scence and Technology Vol, o, 9, -4 ITERATIOAL JOURAL OF EGIEERIG, SCIECE AD TECHOLOGY wwwest-ngcom 9 MultCraft Lmted All rghts reserved Evaluaton of the nformaton

More information

Chapter 8 Group-based Lending and Adverse Selection: A Study on Risk Behavior and Group Formation 1

Chapter 8 Group-based Lending and Adverse Selection: A Study on Risk Behavior and Group Formation 1 Chapter 8 Group-based Lendng and Adverse Selecton: A Study on Rsk Behavor and Group Formaton 1 8.1 Introducton Ths chapter deals wth group formaton and the adverse selecton problem. In several theoretcal

More information

The program for the Bachelor degrees shall extend over three years of full-time study or the parttime equivalent.

The program for the Bachelor degrees shall extend over three years of full-time study or the parttime equivalent. Bachel of Commerce Bachel of Commerce (Accountng) Bachel of Commerce (Cpate Fnance) Bachel of Commerce (Internatonal Busness) Bachel of Commerce (Management) Bachel of Commerce (Marketng) These Program

More information

Section 5.4 Annuities, Present Value, and Amortization

Section 5.4 Annuities, Present Value, and Amortization Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today

More information

The OC Curve of Attribute Acceptance Plans

The 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 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

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence

How 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 information

The Subtraction Rule and its Effects on Pricing in the Electricity Industry

The Subtraction Rule and its Effects on Pricing in the Electricity Industry Dscusson Paer No 04- The Subtracton Rule and ts Effects on Prcng n the Electrcty Industry Walter Elberfeld Dscusson Paer No 04- The Subtracton Rule and ts Effects on Prcng n the Electrcty Industry Walter

More information

8.4. Annuities: Future Value. INVESTIGATE the Math. 504 8.4 Annuities: Future Value

8.4. Annuities: Future Value. INVESTIGATE the Math. 504 8.4 Annuities: Future Value 8. Annutes: Future Value YOU WILL NEED graphng calculator spreadsheet software GOAL Determne the future value of an annuty earnng compound nterest. INVESTIGATE the Math Chrstne decdes to nvest $000 at

More information

Inter-domain Alliance Authentication Protocol Based on Blind Signature

Inter-domain Alliance Authentication Protocol Based on Blind Signature Internatonal Journal of Securty Its Alcatons Vol9 No2 (205) 97-206 htt://ddoorg/04257/sa205929 Inter-doman Allance Authentcaton Protocol Based on Blnd Sgnature Zhang Je Zhang Q-kun Gan Yong Yn Yfeng Tan

More information

Nonprofit organizations are a critical part of society as well as a growing sector of the economy. For funders

Nonprofit organizations are a critical part of society as well as a growing sector of the economy. For funders MANUFACTURING & SERVICE OPERATIONS MANAGEMENT Vol. 13, No. 4, Fall 2011, pp. 471 488 ssn 1523-4614 essn 1526-5498 11 1304 0471 http://dx.do.org/10.1287/msom.1110.0345 2011 INFORMS Effcent Fundng: Audtng

More information

Traditional versus Online Courses, Efforts, and Learning Performance

Traditional versus Online Courses, Efforts, and Learning Performance Tradtonal versus Onlne Courses, Efforts, and Learnng Performance Kuang-Cheng Tseng, Department of Internatonal Trade, Chung-Yuan Chrstan Unversty, Tawan Shan-Yng Chu, Department of Internatonal Trade,

More information

Impact of Financial Literacy on Access to Financial Services in Kenya

Impact of Financial Literacy on Access to Financial Services in Kenya Impact of Fnancal Lteracy on Access to Fnancal Servces n Kenya Mwang Isaac Wachra Research Department, Central Bank of Kenya Box 60000-00200 Narob, Kenya. Evelyne N. Khu Research Department, Central Bank

More information

Tuition Fee Loan application notes

Tuition Fee Loan application notes Tuton Fee Loan applcaton notes for new part-tme EU students 2012/13 About these notes These notes should be read along wth your Tuton Fee Loan applcaton form. The notes are splt nto three parts: Part 1

More information

Outsourcing inventory management decisions in healthcare: Models and application

Outsourcing inventory management decisions in healthcare: Models and application European Journal of Operatonal Research 154 (24) 271 29 O.R. Applcatons Outsourcng nventory management decsons n healthcare: Models and applcaton www.elsever.com/locate/dsw Lawrence Ncholson a, Asoo J.

More information

Dynamics of Toursm Demand Models in Japan

Dynamics of Toursm Demand Models in Japan hort-run and ong-run structural nternatonal toursm demand modelng based on Dynamc AID model -An emprcal research n Japan- Atsush KOIKE a, Dasuke YOHINO b a Graduate chool of Engneerng, Kobe Unversty, Kobe,

More information

Outline. CAPM: Introduction. The Capital Asset Pricing Model (CAPM) Professor Lasse H. Pedersen. Key questions: Answer: CAPM

Outline. CAPM: Introduction. The Capital Asset Pricing Model (CAPM) Professor Lasse H. Pedersen. Key questions: Answer: CAPM The Catal Asset Prcng odel (CAP) Proessor Lasse H. Pedersen Pro. Lasse H. Pedersen 1 Key questons: Outlne What s the equlbrum requred return, E(R), o a stock? What s the equlbrum rce o a stock? Whch ortolos

More information

Depreciation of Business R&D Capital

Depreciation of Business R&D Capital Deprecaton of Busness R&D Captal U.S. Bureau of Economc Analyss Abstract R&D deprecaton rates are crtcal to calculatng the rates of return to R&D nvestments and captal servce costs, whch are mportant for

More information

Returns to Experience in Mozambique: A Nonparametric Regression Approach

Returns to Experience in Mozambique: A Nonparametric Regression Approach Returns to Experence n Mozambque: A Nonparametrc Regresson Approach Joel Muzma Conference Paper nº 27 Conferênca Inaugural do IESE Desafos para a nvestgação socal e económca em Moçambque 19 de Setembro

More information

Buy-side Analysts, Sell-side Analysts and Private Information Production Activities

Buy-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 information

CEIOPS-DOC-42/09. (former CP 49) October 2009

CEIOPS-DOC-42/09. (former CP 49) October 2009 CEIOPS-DOC-42/09 CEIOPS Advce for Level 2 Imlementng Measures on Solvency II: Standard formula SCR - Artcle 109 c Lfe underwrtng rsk (former CP 49) October 2009 CEIOPS e.v. Westhafenlatz 1-60327 Frankfurt

More information

Structural Estimation of Variety Gains from Trade Integration in a Heterogeneous Firms Framework

Structural Estimation of Variety Gains from Trade Integration in a Heterogeneous Firms Framework Journal of Economcs and Econometrcs Vol. 55, No.2, 202 pp. 78-93 SSN 2032-9652 E-SSN 2032-9660 Structural Estmaton of Varety Gans from Trade ntegraton n a Heterogeneous Frms Framework VCTOR RVAS ABSTRACT

More information

presented by TAO LI. born in Yangling, Shaanxi Province, P.R.China

presented by TAO LI. born in Yangling, Shaanxi Province, P.R.China EMPIRICIAL STUDIES ON LENDING VOLUME DECISIOINS, THE NUMBER OF LENDING APPROVALS, AND LENDING RATES ATTITUDES: ESTIMATION BASED ON HOUSEHOLD DATA FROM RURAL SHANDONG, CHINA Dssertaton to obtan the Ph.

More information

HOUSEHOLDS DEBT BURDEN: AN ANALYSIS BASED ON MICROECONOMIC DATA*

HOUSEHOLDS DEBT BURDEN: AN ANALYSIS BASED ON MICROECONOMIC DATA* HOUSEHOLDS DEBT BURDEN: AN ANALYSIS BASED ON MICROECONOMIC DATA* Luísa Farnha** 1. INTRODUCTION The rapd growth n Portuguese households ndebtedness n the past few years ncreased the concerns that debt

More information

Trading system competition and market-maker competition

Trading system competition and market-maker competition Tradng system competton and market-maker competton Mark Wahrenburg. Introducton The recent success of some alternatve tradng systems (ATSs) has had a strong mpact on the tradtonal stock exchange ndustry

More information

An Electricity Trade Model for Microgrid Communities in Smart Grid

An Electricity Trade Model for Microgrid Communities in Smart Grid An Electrcty Trade Model for Mcrogrd Countes n Sart Grd Tansong Cu, Yanzh Wang, Shahn Nazaran and Massoud Pedra Unversty of Southern Calforna Departent of Electrcal Engneerng Los Angeles, CA, USA {tcu,

More information

Uncrystallised funds pension lump sum payment instruction

Uncrystallised funds pension lump sum payment instruction For customers Uncrystallsed funds penson lump sum payment nstructon Don t complete ths form f your wrapper s derved from a penson credt receved followng a dvorce where your ex spouse or cvl partner had

More information

Optimal maintenance of a production-inventory system with continuous repair times and idle periods

Optimal maintenance of a production-inventory system with continuous repair times and idle periods Proceedngs o the 3 Internatonal Conerence on Aled Mathematcs and Comutatonal Methods Otmal mantenance o a roducton-nventory system wth contnuous rear tmes and dle erods T. D. Dmtrakos* Deartment o Mathematcs

More information

An Interest-Oriented Network Evolution Mechanism for Online Communities

An Interest-Oriented Network Evolution Mechanism for Online Communities An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne

More information