Why Commercial Banks Held Excess Reserves: The Japanese Experience of the Late 90s*

Size: px
Start display at page:

Download "Why Commercial Banks Held Excess Reserves: The Japanese Experience of the Late 90s*"

Transcription

1 December 2004 Revsed December 2005 Why Commercal Banks Held Excess Reserves: The Japanese Experence of the Late 90s* Kazuo Ogawa Insttute of Socal and Economc Research, Osaka Unversty * Ths s a substantal revson of the paper I submtted to the Fnancal Research Councl. I am grateful to Hrosh Fujk, Shn-ch Fukuda, Hdeo Hayakawa, Nobuo Inaba, Kazumasa Iwata, Toshk Jnush, Keme Kazuka, Hrosh Koyama, Ryuzo Myao, Hrosh Nakaso, Kuno Okna, Yoshnor Shmzu, Etsuro Shoj, Shgenor Shratsuka, Hsash Tanzak, Juro Teransh, Fukujyu Yamazak, Jyunj Yano, Yukhro Yasuda, the partcpants of the semnars at the Bank of Japan and Kobe Unversty and an anonymous referee for extremely valuable comments and suggestons on early verson of the paper. Ths research was partally supported by Grants-n-Ad for Scentfc Research of the Mnstry of Educaton.

2 Abstract We nvestgated, emprcally, why Japanese banks held excess reserves n the late 1990s. Specfcally, we pn down two factors explanng the demand for excess reserves: a low short-term nterest rate, or call rate, and the fragle fnancal health of banks. The vrtually zero call rate ncreased the demand for excess reserves substantally, and a hgh bad loans rato largely contrbuted to the ncrease n excess reserve holdngs. We found that the holdngs of excess reserves would fall by two-thrds f the call rate were to be rased to ts level pror to the adopton of the zero-nterest-rate polcy, and the bad loans rato were to fall by 50%. JEL Classfcaton Number: E42, E51, E52, and G21 Keywords: Excess Reserve, Bad loans, Zero-nterest-rate-polcy Correspondence to: Insttute of Socal and Economc Research, Osaka Unversty, 6-1 Mhogaoka, Ibarak, Osaka, JAPAN Tel: Fax: E-mal: ogawa@ser.osaka-u.ac.jp

3 1. Introducton Japanese banks have chroncally held excess reserves snce the late 90s. Fgure 1 llustrates the rato of actual reserves to requred reserves for commercal banks as a whole. The ncreasng trend n the excess reserve rato has been conspcuous snce the summer of 2001, and ths rato reached a hgh of 5.88 n October The excess reserve rato typcally parallels the supply of reserves. In fact, the reserve supply began to ncrease when the Bank of Japan announced that t would provde ample funds to push down the uncollateralzed overnght call rate, or short-term nter-bank money market rate, as low as possble, n February Ths acton s known as the zero-nterest-rate polcy. Furthermore, the reserve supply drastcally ncreased after the Bank of Japan (BOJ) swtched ts operatng target for money market operatons from the uncollateralzed overnght call rate to the outstandng balances of the current accounts held at the BOJ n March The target level of outstandng balances of the BOJ s current accounts was valued at around fve trllon yen n March 2001, but then rose to between 30 and 35 trllon yen by January However, t should be noted that the reserve supply does not necessarly automatcally create a demand for reserves. The am of ths study, therefore, was to shed lght on the demand sde of reserves and to conduct an emprcal nvestgaton nto why commercal banks hold excess reserves. In actual fact, banks have ther own motves for holdng excess reserves. We dentfed two factors that may have affected banks reserve demands snce the late 90s. The frst of these factors s the nearly zero level of the call rate: the uncollateralzed overnght call rate was pushed down to ts mnmum level after the adopton of the zero-nterest-rate polcy. Reserves and call loans are close substtutes; as a result, banks have more ncentve to hold reserves when the call rate s very low. The second relevant factor s the nstablty of the fnancal system. Ever snce the outbreak of fnancal nsttuton debacles n the late 90s, depostors have been very cautous about choosng whch banks to depost ther money n. Ths mples that, n general, once the balance sheet of a bank deterorates, depostors wll swtch deposts from one bank to another, more healthy one. Therefore, banks wth fragle balance sheets have an ncentve to hold reserves, for precautonary reasons. 2 Incorporatng these factors, 1

4 we constructed a smple theoretcal model of bank reserve demand. Usng a panel dataset for banks, we estmated these banks optmal demand functons for reserves, as derved from the theoretcal model. The quanttatve mportance of the aforementoned two factors was evaluated by means of a smulaton analyss, based on the parameter estmates n the banks reserve demand functons. 3 Our man fndngs may be summarzed as follows. Usng a theoretcal model, we were able to derve each bank s optmal demand for reserves, whch s a decreasng functon of the short-term nterest rate and an ncreasng functon of the bank s fnancal health, represented by ether ts bad loan rato or the rate of change n ts share prce. It turned out that both factors sgnfcantly mpact banks reserve demands, as suggested by the theoretcal model. Quanttatvely, the effect of the short-term nterest rate on reserve demand was qute large. We found that rasng the call rate to 0.25%, ts level just before the adopton of the zero-nterest-rate polcy, decreased the demand for excess reserves n the bankng sector as a whole by as much as 55-70%. The effect of a bank s fnancal health on ts excess reserve demand was also sgnfcant. Excess reserves were reduced by 13-27% when the bad loan rato was halved; ths consttutes the goal to be attaned by the end of FY 2004 n the Program for Fnancal Revval, under the Kozum Admnstraton. The paper s organzed as follows. The next secton provdes descrptve statstcs for the banks reserve holdngs, whch are based on the panel dataset for the Japanese commercal banks used n our study. Secton 3 constructs a smple theoretcal model of reserve demand and derves the optmal demand equaton for reserves, whch are to be estmated. Secton 4 presents the estmaton results, and Secton 5 conducts a smulaton analyss, based on the estmaton results from the prevous secton, n order to evaluate quanttatvely the effects of the short-term nterest rate and bank fnancal health on excess reserve demand. Secton 6 concludes the study. 2. To What Extent Dd Banks Hold Excess Reserves? We frst calculated the extent to whch commercal banks held excess reserves usng panel data for Japanese banks durng the perod FY 1991 to We compared the 2

5 actual reserve holdngs at the end of each fscal year wth the reserves requred at that tme. The requred reserves were calculated as follows. The reserve requrement ratos for deposts depend upon the type and amount of deposts, as s shown n Table 1. For example, when a bank holds three trllon yen as tme deposts, the bank should hold bllon yen (= ( ) ( ) ( ) (500-50) ) as requred reserves. The requred reserves at the end of a fscal year are computed for each bank n our panel dataset, and compared wth the actual reserve balance, to gauge the extent to whch banks hold excess reserves. Our panel data set conssts of 145 banks, of whch nne are cty banks, three are long-term credt banks, seven are trusts, and 126 are regonal banks. Merged and/or nsolvent banks were excluded from the sample. Therefore, our dataset consttutes an unbalanced panel. The sample perod covers the years from FY 1991 to FY Table 2 presents descrptve statstcs of the extent to whch banks held excess reserves. The medan of the rato of actual reserves to requred reserves was less than one untl 1996, whle t exceeded ths value after It should be noted that the year n whch the excess reserve rato began to exceed one was characterzed by a number of bankruptces of fnancal nsttutons. It s lkely that banks held excess reserves for precautonary purposes, to meet the demands of depostors swtchng from unhealthy banks to healthy ones. In 2001, the excess reserve rato agan exhbted a sharp ncrease. The medan of the excess reserve rato n 2001 was about twelve tmes as large as that n Ths sharp ncrease concded wth the BOJ s swtch of monetary polcy target: from the short-term nterest rate to the outstandng balances of the current accounts at the BOJ, consttutng the so-called quanttatve easng of monetary polcy. Under the new monetary polcy regme, the BOJ ncreased the monetary base substantally. The standard devaton of the excess reserve rato also ncreased after the mddle of the 90s, suggestng that there were dverse reserve holdng patterns across banks. Ths fact may also be nferred from Fgure 2, whch llustrates the frequency dstrbuton of the excess reserve ratos n 1994, 1999 and The frequency dstrbuton was more dspersed and less skewed to the rght n later years. 3

6 3. A Model of Bank Demand for Reserves Consder a bank, whch allocates a gven amount of deposts ( D ) to an nterest-bearng asset, and wth reserves at a central bank bearng no nterest, under the stochastc wthdrawal of deposts. 5 By allocatng all of ts deposts to the nterest-bearng asset, and keepng ts reserves to the mnmum requred level, the bank can maxmze ts ncome from nterest but runs the rsk of beng unable to meet large, unantcpated wthdrawals of deposts. Such a stuaton may be costly for the bank, as t gves rse to apprehenson among depostors regardng the fraglty of the bank s balance sheet, and depostors may thus be prompted to further wthdraw ther deposts. Therefore, the bank optmally allocates ts resources between the nterest-bearng asset and reserves, to maxmze ts expected nterest ncome, whle smultaneously takng nto account the cost ncurred n the case of reserve shortages. Formally, the objectve functon of the bank s stated as follows: r L ~ ( D R ) r E[ Max( 0, X R )] p, (1) where r L : nterest rate on nterest-bearng asset r, : penalty rate for the -th bank n case of reserve shortage ( r > r P R : reserve balance of the -th bank X ~ : stochastc depost wthdrawal at the end of the perod p, L ) The bank maxmzes eq.(1) wth respect to R subject to the followng requred reserve constrant: R δ D where δ :requred reserve rato for the -th bank The frst-order condton s gven by 6 4

7 r ~ [ X R ] = r λ p, Pr L (2) where Pr [ ] ndcates probablty λ : non-negatve Lagrangean multpler assocated wth the requred reserve constrant The LHS of eq.(2) represents the decrease n the lqudty shortage cost brought about by ncreasng reserves, or the margnal beneft of ncreasng reserves, whle the RHS provdes the margnal cost of ncreasng reserves. When λ > 0, the bank holds no more than the requred amount of reserves. On the other hand, when the optmal reserve * holdngs ( ) R exceed the requred level, then λ = 0. Fgure 3 llustrates the way n whch the optmal level of excess reserves s determned. When λ = 0, t s easy to see from the fgure that the demand for reserves depends upon the nterest rate ( r L ) and the penalty rate ( r, ). The demand for reserves ncreases as the nterest rate falls and the penalty rate P rses. Ths model, whle smple, can explan the surge n excess reserve holdngs by Japanese banks that took place n the late 90s. The call rate was vrtually zero under the zero-nterest-rate polcy, and the BOJ mantaned the call rate to a level as low as possble under the new monetary polcy regme. In the late 90s, banks wth massve amounts of bad loans became nsolvent, whch may have led to a rse n the penalty rate. For ths reason, depostors became very cautous about the balance sheet condtons of banks n an unstable fnancal system. If a bank s reserves fell short of depostors wthdrawals, then depostors may have perceved the balance sheet of the bank to be deteroratng. Ths percepton would have accelerated the wthdrawal of deposts, as well as the potental bankruptcy of the bank. To avod such a dsaster, banks would have set the penalty rate qute hgh and ncreased ther demand for excess reserves. 4. Estmaton of Bank Demand Equatons for Reserves Dervaton of Bank Demand Equatons for Reserves To derve a bank s optmal demand equaton for reserves, we must specfy the way n whch banks antcpate depost wthdrawals. We assume that the random varable X ~ has 5

8 a Pareto dstrbuton. Specfcally, the densty functon of θ ~ θx 0, ( X ) = ~ θ + 1 ~ f X 0, < X < (3) X where θ, : parameters of the dstrbuton θ X 0, 0, X, > 0 > 0 X ~ s wrtten as By specfyng the densty functon of depost wthdrawals, we may calculate the probablty that depost wthdrawals exceed reserves, as follows: ~ [ X R ] R Pr = (4) X 0, θ The substtuton of eq.(4) nto eq.(2) and the rearrangement of terms yelds the followng reserve equaton: log R 1 rl λ = log X 0, log θ rp, (5) It s qute lkely that the bank s subjectve dstrbuton of X ~ depends on the bank s attrbutes. When the balance sheet of a bank deterorates, the bank may antcpate a large amount of depost wthdrawals. In other words, the condton of a bank s balance sheet affects the dstrbuton of ts depost wthdrawals. We specfy a bank s balance sheet condton usng the bad loans rato ( BADLOAN ). That s, we express X 0, as a functon of deposts and the bad loans rato. η ε 0, αdi BADLOAN (6) X = where α > 0, η > 0, ε > 0 Deposts are ncluded n eq.(6) as a scale factor. Substtutng eq.(6) nto eq.(5) and arrangng terms, we obtan the followng optmal demand equaton for reserves: 6

9 log R 1 rl λ = logα + η log D + ε log( BADLOAN ) log (7) θ rp, For estmaton purposes, we transform the demand equaton for reserves nto the devaton from requred reserves. Frst, when λ > 0, banks do not hold any excess reserves, so the devaton of optmal reserves from the requred level s zero. In other words, the followng equaton s specfed n logarthmc form: log R logδ D = 0 (8) Second, when the optmal demand for reserves exceeds the requred level, the demand for excess reserves s expressed as 1 r log R logδ D = logα logδ + (9) ( ) L η 1 log D + ε log( BADLOAN ) log θ rp, Snce we can dentfy from the data whch banks held excess reserves, we may estmate the system of reserve demand equatons, (8) and (9), usng censored regresson models. Descrpton of the Data We brefly explan the varables used n estmaton. The varable ( R ) represents the reserve balance of an ndvdual bank at the BOJ. Deposts ( D ) consst of all types of deposts, ncludng certfcates of depost and debentures outstandng. The amount of requred reserves s calculated based on the depost balances and the requrement ratos provded n Table 1, as was dscussed n Secton 2. The requred reserve rato ( δ ) s obtaned by dvdng the requred reserves by deposts. The bad loans rato s calculated n two dfferent ways: (1) the rato of rsk management loans to total loans ( BADLOAN1 ) 7 and (2) the rato of non-performng loans (NPL) under the Fnancal Reconstructon Law ( BADLOAN 2). 8 Use of the rate of 7

10 change n the share prce has the mert that we can make full use of the whole sample perod from fscal year of 1991 n estmaton. The varable BADLOAN1 s avalable for the perod ncludng and followng 1997, whle the varable BADLOAN 2 s avalable for the perod ncludng and followng Accordngly, the estmaton perod n each case begns wth the year n whch the bad loans rato frst becomes avalable. We also use the rate of change n the share prce ( SHARE ) as a proxy for the market s percepton of the banks fnancal health. 9 Table 3 presents the descrptve statstcs for the bad loans rato. The varable BADLOAN1 exhbted an ncreasng trend untl 2001, n terms of both the mean and the medan, whle the same trend was observed for BADLOAN 2n terms of the medan. Fgure 4 presents the frequency dstrbuton for bad loans ratos n 1998 and 2002, both of whch are calculated from the rsk management loans. There are consderable dfferences between the shapes of the frequency dstrbutons n both years. In 2002, the peak of the frequency dstrbuton rose, and the dstrbuton was more skewed to the left. The correlaton coeffcent for these two measures s qute hgh (0.8982). However, the market s percepton of banks fnancal health does not necessarly closely reflect the bad loans rato. In fact, the correlaton coeffcent between BADLOAN1 and SHARE s , and that between BADLOAN 2 and SHARE s The penalty rate s lkewse treated n two dfferent ways. Frst, the penalty rate s treated as constant across banks and years. In ths case, the penalty rate s subsumed nto the constant term. Second, the rato of operatng profts to total equty s employed. The dea behnd ths s that the banks, the reserves of whch are short of depost wthdrawals, wll eventually go nsolvent and lose ther entre operatng profts. The nterest rate s the uncollateralzed overnght call rate. Econometrc Issues We estmated eqs.(8) and (9) by two dfferent methods for censored excess reserves. One s pooled Tobt. The followng procedure was used to classfy banks, accordng to whether they have excess reserves. When a bank s actual reserves exceed the requred reserves by at least 10%, then t s dentfed as holdng excess reserves. Ths conservatve 8

11 classfcaton wth respect to banks holdng excess reserves reflects the unavalablty of the daly depost data upon whch the reserve requrement should be based. 10 However, rgorously speakng, requred reserves correspondng to the average outstandng amount of deposts n March are requred to mantan over the perod from the March 16 to Aprl 15 on average. Thus, the requred reserve s not necessarly bndng on the sngle day at the end of March. Therefore t s lkely that excess reserves are measured wth errors and observatons are msclassfed. Tobt estmator s stll vald when the measurement error and the orgnal dsturbance have a jont normal dstrbuton snce the measurement error s ndstngushable from the dsturbance and the composte error term s normally dstrbuted. However, as was dscussed n calculaton of excess reserves, t s lkely that they are underestmated. Then normalty assumpton s no longer tenable and the Tobt estmator s nconsstent. To cope wth ths stuaton, we use censored least absolute devaton estmator (CLAD) developed by Powell(1984). Unlke the standard estmators of the censored regresson model such as Tobt or other maxmum lkelhood approaches, the CLAD estmator s robust to heteroscedastcty and s consstent for a wde class of error structures. Durng estmaton, we added dummy varables to account for the dfferent types of banks,.e., dummy varables for cty banks (DCITY), long-term credt banks (DCREDIT), and trusts (DTRUST). We also added the dummy varable (DPOLICY) to control for the monetary polcy regme change that occurred n March Thereafter, the monetary base ncreased substantally n order to satsfy the target set for the current accounts balance at the BOJ. Estmaton Results Table 4 presents the estmaton results for banks demands for reserves by pooled Tobt. The estmaton s conducted for sx specfcatons, where three varables are used to represent the banks fnancal health, and where two account for the penalty rate. The estmaton results are qute satsfactory, n the sense that the coeffcent estmates of the three key varables determnng the demand for reserves are statstcally sgnfcant, 9

12 rrespectve of the model specfcaton. Deposts exert a sgnfcantly postve effect on reserve holdngs. The call rate has a negatve effect on the demand for reserves, as s predcted from the theoretcal model n Secton The two bad loans ratos also affect the demand for reserves postvely, whch mples that banks wth hgher bad loans ratos ncreased ther reserves. Furthermore, ncreases n the rate of change n share prces decreased the demand for reserves sgnfcantly. Table 5 shows the estmaton results for banks demands for reserves by CLAD. The coeffcent estmates of the three key varables determnng the demand for reserves remans unaltered qualtatvely, although there are quanttatve dfferences. The effects of deposts on reserve holdngs are qute smlar to Tobt estmates when bad loan ratos represent the banks fnancal health, but the coeffcent estmates of depost are nsgnfcant when the rate of change n share prce s used. The call rate has a sgnfcantly negatve effect on the demand for reserves, rrespectve of the model specfcaton. The two bad loans ratos also exert a sgnfcantly postve effect on the demand for reserves, whle the effect of share prce change on the demand for reserves s slghtly weaker. To sum up, the basc results obtaned by Tobt estmaton are essentally unaltered even after takng measurement errors nto consderaton. Table 6 tabulates the elastctes of reserve demands wth respect to deposts, the call rate, and the bad loans rato, for the four types of banks holdng excess reserves. These elastctes are calculated on the bass of the results of the estmaton wth BADLOAN1 as the bad loans rato, and the rato of operatng profts to total equty as the penalty rate The depost elastcty s generally close to one, except for cty banks, n whch case t s much less than one (0.4675). The nterest-rate elastcty ranges from to , whle the elastcty wth respect to the bad loans rato ranges from to The magntude of ths elastcty s smaller for cty banks because, of these, a lower proporton of banks held excess reserves. 5. The Effects of the Short-term Interest Rate and Bank Fnancal Health on the Demand for Excess Reserves: A Quanttatve Evaluaton In the prevous secton, we found that both the short-term nterest rate and banks 10

13 fnancal health are sgnfcant explanatory varables of the demand for reserves. Based on the parameter estmates of the demand equaton for reserves, and usng smulaton analyss, we evaluated quanttatvely the extent to whch changes n the short-term nterest rate and/or banks bad loans ratos affected the demand for excess reserves. Specfcally, we took the followng steps. Frst, we calculated the theoretcal values of excess reserves by substtutng the actual exogenous varables for 2002 nto the estmated demand equaton for reserves, or eq.(9), and subtracted the requred reserves. Next, we calculated the predcted value of excess reserves under dfferent scenaros of the call rate and the bad loans rato. We assumed that the call rate was rased to ts level pror to the adopton of the zero-nterest-rate polcy. In other words, the call rate was set to ts level n March 1998, or to 0.25%. 15 Wth regard to the banks fnancal health, we consdered a case n whch the bad loans rato was halved. Ths scenaro s consstent wth the Kozum Structural Reform Plan, ntroduced n October 2002, whch specfed that non-performng loans should be reduced by 50% wthn one year. The predcted excess reserves thus calculated were summed up across banks, and the aggregated excess reserves were compared wth ther baselne value. Table 7 ndcates the extent to whch banks excess reserves are reduced under the dfferent scenaros for the call rate and the bad loans rato, and under four dfferent specfcatons of the reserve demand equaton estmated by pooled Tobt. When the call rate s rased, excess reserves are reduced by as much as 70% n the constant penalty case, and by about 60% n the varable penalty case. Although the magntude of the reducton n excess reserves s slghtly less for the case n whch the banks fnancal health s mproved, t s not neglgble n ths case. Excess reserves are reduced by 13% to 27%. When ncreases n both the call rate and banks fnancal health are mplemented smultaneously, the holdngs of excess reserves are reduced almost by two-thrds. 6. Concludng Remarks We emprcally nvestgated why Japanese banks held excess reserves n the late 90s. We were able to pn down two factors that explan the demand for excess reserves: a low 11

14 short-term nterest rate, or call rate, and banks fragle fnancal health. The nearly zero call rate substantally ncreased the demand for reserves, and the hgh bad loans rato also contrbuted to the observed ncrease n reserve holdngs. A quanttatve evaluaton of these factors was also conducted. It was found that excess reserve holdngs may be reduced by two-thrds by rasng the call rate to ts level pror to the zero-nterest-rate polcy, and by decreasng the bad loans rato by 50%. The Japanese fnancal system s ganng stablty as banks rapdly elmnate bad loans, and ths elmnaton should lead to a reducton n excess reserve holdngs. 12

15 Footnotes 1 There are two spkes n the fgures, each of whch corresponds to Year 2000 and Fscal Year 2002 problems. On those occasons, the polcy authorty provded ample lqudty to meet a surge n demand and secure stablty n the fnancal markets. 2 See Shrakawa (2002) for a detaled dscusson of the factors that have contrbuted to an ncrease n banks reserve demands snce the late 90s. 3 Hosono et al. (2001), Hayash (2001), and Uesug (2002) nvestgated the lqudty effect usng daly reserve data. The relatonshp between the equlbrum short-term nterest rate and the reserve supply may be obtaned by aggregatng banks reserve demands. Our focus n ths study was to examne what motvates ndvdual banks to hold excess reserves. 4 Accordng to our calculaton, actual reserves are always short of requred reserves untl 1996, whch hnts that the data on excess reserves mght be underestmated. To see ths possblty, we calculated the rato of the outstandng amount of reserves at the end of month to the average outstandng amount, usng the aggregate monthly reserve data. Ths rato was sgnfcantly larger than unty for March and September. Snce the average outstandng reserves are close to requred reserves pror to adopton of zero nterest rate polcy, t suggests that banks hold reserves n excess of requred reserves at the end of fscal year, whch cannot be captured n our excess reserve fgures. Underestmaton of excess reserves s taken nto consderaton n estmaton of reserve demand functon n subsequent secton. 5 The followng model of reserve demands comes from Chapter 8 n Frexas and Rochet (1997). 6 It can be shown that the objectve functon of the bank s a concave functon of reserves, so the soluton to the frst-order condton s guaranteed to be a maxmum of the objectve functon. 7 Rsk management loans nclude loans to borrowers n legal bankruptcy, past-due loans n arrears by sx months or more, loans n arrears by three months or more but less than sx months, and restructured loans. 8 The NPLs under the Fnancal Reconstructon Law are defned as the sum of the assets classfed as bankrupt/de facto bankrupt, doubtful, and specal attenton. 9 Some banks are not lsted on the stock exchange, so these are excluded from the sample n the estmaton of the demand equaton for reserves ncorporatng the share prce. 10 To check for robustness, we also used a more conservatve defnton of excess reserves. In ths case, banks wth actual reserves exceedng the requred reserve by 50% were dentfed as banks holdng excess reserves. Under ths defnton, the estmaton results remaned qualtatvely unchanged. 11 The effects of call rate on reserve demand mght be ntensfed for the followng reason. When the nter-bank nterest rate s vrtually zero, transactons n the call market have been declnng and lqudty-rsk sharng mechansm has been eroded substantally. In ths stuaton demand for reserves provded by the Bank of Japan wll be very senstve to change n the call rate. I thank the referee for ndcatng ths pont. 12 Loan and Wood (2002) also reported that the nterest rate has a sgnfcantly negatve 13

16 effect on the reserve demands of commercal banks n the U.S.A. 13 The elastctes are calculated by multplyng the adjustment factor by the orgnal parameter estmates. See Chapter 16 of Wooldrdge (2002) for a dscusson of adjustment factors. 14 The elastctes based on the other specfcatons are calculated n a smlar way. They are not reported here, snce they follow the same pattern as that reported n the text. These elastcty estmates are avalable upon request from the author. 15 It s assumed that the penalty rate does not change. 14

17 References [1] Frexas, X. and J.-C. Rochet(1997). Mcroeconomcs of Bankng, The MIT Press. [2] Hayash,F.(2001). Identfyng a Lqudty Effect n the Japanese Interbank Market, Internatonal Economc Revew 42, pp [3] Hosono,K., Sughara,S. and T.Mhra(2001) Knyu Sesaku no Yukose to Genka (Effectveness and Lmts of Monetary Polcy), Toyo Keza Shnposha, (n Japanese). [4] Lown,C.S. and J.H.Wood(2003). The Determnaton of Commercal Bank Reserve Requrements, Revew of Fnancal Economcs 12, pp [5] Powell,J.L.(1984). Least Absolute Devaton Estmaton for the Censored Regresson Model, Journal of Econometrcs 25, pp [6] Shrakawa,M.(2002). Ryotek Kanwa Sayogo 1 nenkan no Keken (Experence durng One Year after Adopton of Quanttatve Easng Polcy), n Komya,R. and Nppon Keza Center(eds.) Knyu Sesaku Rong no Soten: Nchgn Hhan to sono Hanron (Issues of Monetary Polcy Debates: Crtcsm of the Bank of Japan and Rebuttal), Nppon Keza Shnbunsha, pp (n Japanese) [7] Uesug,I.(2002). Measurng the Lqudty Effect: The Case of Japan, Journal of the Japanese and Internatonal Economes 16, pp [8] Wooldrdge,J.M.(2002). Econometrc Analyss of Cross Secton and Panel Data, The MIT Press. 13

18 Fgure 1 Excess Reserve Rato The Excess reserve rato s defned as the rato of actual reserve to requred reserve. Data Source: The Bank of Japan Homepage

19 Fgure 2 Frequency Dstrbuton of Excess Reserve Rato n Data Source: Nkke Fnancal Data Medan=0.91 Standard Devaton=1.56

20 Fgure 2 Frequency Dstrbuton of Excess Reserve Rato n Data Source: Nkke Fnancal Data Medan =4.00 Standard Devaton=39.38

21 Fgure 2 Frequency Dstrbuton of Excess Reserve Rato n Data Source: Nkke Fnancal Data Medan=15.18 Standard Devaton=39.25

22 Pr Fgure 3 Determnaton of Optmal Demand for Reserve ~ [ X ] R r r L p, 0 δ D * R R

23 Fgure 4 Frequency Dstrbuton of Bad Loans Rato n 1998 Based upon Rsk Management Loans Data Source: Nkke Fnancal Data

24 Fgure 4 Frequency Dstrbuton of Bad Loans Rato n 2002 Based upon Rsk Management Loans % Data Source: Nkke Fnacal Data

25 Table 1 Reserve Requrement Ratos (1) Reserve Ratos on Deposts Type of deposts Amount of deposts Reserve rato (%) Tme Deposts 2.5 trllon yen ncludng Certfcates of Depost trllon yen 500 bllon trllon yen bllon yen 0.05 Other deposts 2.5 trllon yen trllon yen 500 bllon trllon yen bllon yen 0.1 (2) Reserve Ratos on Debentures Outstandng Type of banks Reserve rato (%) Banks, long-term credt banks 0.1 and foregn exchange bank Notes: The reserve ratos n the table are effectve on October 16, Data Source: The Bank of Japan Homepage

26 Table 2 Descrptve Statstcs of Banks Excess Reserve Fscal year Rato of actual reserve to requred reserve Medan Standard devaton Data Source: Nkke Fnancal Data

27 Table 3 Descrptve Statstcs of Bad Loans Rato Fscal year rato of rsk management rato of non-performng loans loans to total loans under Fnancal Reconstructon ( BADLOAN1) Law to total loans ( BADLOAN 2) Mean Medan Mean Medan Notes: Rsk management loans nclude loans to borrowers n legal bankruptcy, past due loans n arrears by 6 months or more, loans n arrears by 3 months or more and less than 6 months, and restructured loans. The non-performng loans under the Fnancal Reconstructon Law are defned as the sum of the assets classfed as bankrupt/de facto bankrupt, doubtful, and specal attenton. Data Source: Nkke Fnancal Data (%)

28 Table 4 Estmaton Results of Optmal Demand Equaton for Reserve (Pooled Tobt) Choce of banks balance sheet varable and penalty rate BADLOAN1 Case 1 Constant penalty rate Case 2 Varable penalty rate BADLOAN2 Case 3 Constant penalty rate Case 4 Varable penalty rate Share prce change Case 5 Constant penalty rate Case 6 Varable penalty rate Constant Depost Call rate Bad loans rato Dummy varables or share prce Cty banks Long-term Trust Monetary σ NOBS change credt banks banks polcy change LOGL *** *** *** *** ** *** *** 757 (-15.10) (21.08) (-10.05) (4.29) (-2.08) (-1.18) (1.29) (3.65) (29.99) *** *** *** *** ** *** *** 735 (-13.74) (21.03) (-9.42) (4.72) (-2.25) (-0.82) (0.68) (4.71) (29.53) *** *** *** ** * * *** *** 548 (-13.49) (16.92) (-10.34) (2.09) (-1.75) (-0.53) (1.66) (2.66) (27.24) *** *** *** *** * *** *** 530 (-10.90) (16.47) (-8.28) (3.04) (-1.95) (-0.05) (0.88) (3.30) (26.80) *** *** *** *** * *** *** *** 1134 (-16.04) (21.77) (-11.40) (-3.31) (-1.67) (3.08) (5.65) (32.40) *** *** *** *** * *** *** *** 1121 (-15.26) (21.62) (-10.27) (-2.95) (-1.84) (2.64) (7.25) (32.12) Notes: σ : standard devaton of dsturbance LOGL: logarthm of lkelhood functon NOBS: number of observatons Values n parentheses are t-values. *, **, ***: sgnfcant at 10%, 5%, and 1% level, respectvely

29 Table 5 Estmaton Results of Optmal Demand Equaton for Reserve (Censored Least Absolute Devatons Estmator) Choce of banks balance sheet varable and penalty rate BADLOAN1 Case 1 Constant penalty rate Case 2 Varable penalty rate BADLOAN2 Case 3 Constant penalty rate Case 4 Varable penalty rate Share prce change Case 5 Constant penalty rate Case 6 Varable penalty rate Constant Depost Call rate Bad loans rato Dummy varables or share prce Cty banks Long-term Trust Monetary NOBS change credt banks banks polcy change *** *** *** *** *** *** 757 (-6.19) (7.99) (-11.14) (3.37) (-0.41) (-1.06) (3.95) (8.94) *** *** *** *** ** *** 735 (-3.57) (6.17) (-8.10) (4.25) (-0.54) (0.32) (1.30) (7.06) *** *** *** ** (-2.80) (4.40) (-8.01) (1.97) (-0.23) (0.01) (0.48) (0.12) *** *** *** *** * *** 530 (-2.57) (5.80) (-10.41) (5.66) (0.22) (1.78) (0.95) (3.93) *** * ** *** *** 1134 (0.63) (0.60) (-7.93) (-1.79) (2.39) (2.93) (3.20) *** * *** 1121 (0.29) (1.03) (-8.65) (-1.19) (1.13) (1.71) (3.68) Notes: The standard errors are estmated by bootstrap procedure. We performed bootstrap replcatons. NOBS: number of observatons Values n parentheses are t-values. *, **, ***: sgnfcant at 10%, 5%, and 1% level, respectvely

30 Table 6 Estmates of Reserve Demand Elastcty Types of banks Depost Call Bad loan rate rato Cty banks Long-term credt Banks Trust banks Regonal banks Notes: The elastcty s calculated for banks holdng excess reserve on the bass of estmaton results wth BADLOAN1 as the bad loan rato and the rato of operatng profts to total equty as penalty rate.

31 Table 7 Effects of Call Rate Increase and Reducton of Bad Loans Rato on Demand for Excess Reserve: Quanttatve Evaluaton by Smulaton Analyss Choce of banks balance sheet varable and penalty rate BADLOAN1 Case 1 Constant penalty rate (%) Change of excess reserve by ncrease of call rate reducton of to 0.25% bad loans rato total by 50% Case 2 Varable penalty rate BADLOAN2 Case 3 Constant penalty rate Case 4 Varable penalty rate

Empirical Analysis of Economic Institutions Discussion Paper Series. No.58

Empirical Analysis of Economic Institutions Discussion Paper Series. No.58 Emprcal Analyss of Economc Insttutons Dscusson Paper Seres No.58 Why Commercal Banks Held Excess Reserves: The Japanese Experence of the Late 90s Kazuo Ogawa December 2004 Ths dscusson paper seres reports

More information

3/3/2014. CDS M Phil Econometrics. Vijayamohanan Pillai N. Truncated standard normal distribution for a = 0.5, 0, and 0.5. CDS Mphil Econometrics

3/3/2014. CDS M Phil Econometrics. Vijayamohanan Pillai N. Truncated standard normal distribution for a = 0.5, 0, and 0.5. CDS Mphil Econometrics Lmted Dependent Varable Models: Tobt an Plla N 1 CDS Mphl Econometrcs Introducton Lmted Dependent Varable Models: Truncaton and Censorng Maddala, G. 1983. Lmted Dependent and Qualtatve Varables n Econometrcs.

More information

THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS

THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS North Amercan Journal of Fnance and Bankng Research Vol. 4. No. 4. 010. THE VOLATILITY OF EQUITY MUTUAL FUND RETURNS Central Connectcut State Unversty, USA. E-mal: BelloZ@mal.ccsu.edu ABSTRACT I nvestgated

More information

Clearing Notice SIX x-clear Ltd

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

More information

Price and Quantity Competition Revisited. Abstract

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

More information

CHAPTER 9 FUNCTIONAL FORMS OF REGRESSION MODELS

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

More information

MgtOp 215 Chapter 13 Dr. Ahn

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

More information

Elements of Economic Analysis II Lecture VI: Industry Supply

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

More information

Highlights of the Macroprudential Report for June 2018

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

More information

Evaluating Performance

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

More information

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

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

More information

ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE)

ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE) ECONOMETRICS - FINAL EXAM, 3rd YEAR (GECO & GADE) May 17, 2016 15:30 Frst famly name: Name: DNI/ID: Moble: Second famly Name: GECO/GADE: Instructor: E-mal: Queston 1 A B C Blank Queston 2 A B C Blank Queston

More information

Maturity Effect on Risk Measure in a Ratings-Based Default-Mode Model

Maturity Effect on Risk Measure in a Ratings-Based Default-Mode Model TU Braunschweg - Insttut für Wrtschaftswssenschaften Lehrstuhl Fnanzwrtschaft Maturty Effect on Rsk Measure n a Ratngs-Based Default-Mode Model Marc Gürtler and Drk Hethecker Fnancal Modellng Workshop

More information

In the 1990s, Japanese economy has experienced a surge in the unemployment rate,

In the 1990s, Japanese economy has experienced a surge in the unemployment rate, Productvty Growth and the female labor supply n Japan Yoko Furukawa * Tomohko Inu Abstract: In the 990s, Japanese economy has experenced a surge n the unemployment rate, and ths s due partly to the recent

More information

3: Central Limit Theorem, Systematic Errors

3: Central Limit Theorem, Systematic Errors 3: Central Lmt Theorem, Systematc Errors 1 Errors 1.1 Central Lmt Theorem Ths theorem s of prme mportance when measurng physcal quanttes because usually the mperfectons n the measurements are due to several

More information

Domestic Savings and International Capital Flows

Domestic Savings and International Capital Flows Domestc Savngs and Internatonal Captal Flows Martn Feldsten and Charles Horoka The Economc Journal, June 1980 Presented by Mchael Mbate and Chrstoph Schnke Introducton The 2 Vews of Internatonal Captal

More information

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of

occurrence of a larger storm than our culvert or bridge is barely capable of handling? (what is The main question is: What is the possibility of Module 8: Probablty and Statstcal Methods n Water Resources Engneerng Bob Ptt Unversty of Alabama Tuscaloosa, AL Flow data are avalable from numerous USGS operated flow recordng statons. Data s usually

More information

Spatial Variations in Covariates on Marriage and Marital Fertility: Geographically Weighted Regression Analyses in Japan

Spatial Variations in Covariates on Marriage and Marital Fertility: Geographically Weighted Regression Analyses in Japan Spatal Varatons n Covarates on Marrage and Martal Fertlty: Geographcally Weghted Regresson Analyses n Japan Kenj Kamata (Natonal Insttute of Populaton and Socal Securty Research) Abstract (134) To understand

More information

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

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

More information

Tests for Two Correlations

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

More information

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

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

More information

Monetary Tightening Cycles and the Predictability of Economic Activity. by Tobias Adrian and Arturo Estrella * October 2006.

Monetary Tightening Cycles and the Predictability of Economic Activity. by Tobias Adrian and Arturo Estrella * October 2006. Monetary Tghtenng Cycles and the Predctablty of Economc Actvty by Tobas Adran and Arturo Estrella * October 2006 Abstract Ten out of thrteen monetary tghtenng cycles snce 1955 were followed by ncreases

More information

Jenee Stephens, Dave Seerattan, DeLisle Worrell Caribbean Center for Money and Finance 41 st Annual Monetary Studies Conference November 10 13, 2009

Jenee Stephens, Dave Seerattan, DeLisle Worrell Caribbean Center for Money and Finance 41 st Annual Monetary Studies Conference November 10 13, 2009 Jenee Stephens, ave Seerattan, esle Worrell Carbbean Center for Money and nance 41 st Annual Monetary Studes Conference November 10 13, 2009 1 OUTINE! Introducton! Revew of lterature! The Model! Prelmnary

More information

Appendix - Normally Distributed Admissible Choices are Optimal

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

More information

A Utilitarian Approach of the Rawls s Difference Principle

A Utilitarian Approach of the Rawls s Difference Principle 1 A Utltaran Approach of the Rawls s Dfference Prncple Hyeok Yong Kwon a,1, Hang Keun Ryu b,2 a Department of Poltcal Scence, Korea Unversty, Seoul, Korea, 136-701 b Department of Economcs, Chung Ang Unversty,

More information

Consumption Based Asset Pricing

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

More information

The Effects of Industrial Structure Change on Economic Growth in China Based on LMDI Decomposition Approach

The Effects of Industrial Structure Change on Economic Growth in China Based on LMDI Decomposition Approach 216 Internatonal Conference on Mathematcal, Computatonal and Statstcal Scences and Engneerng (MCSSE 216) ISBN: 978-1-6595-96- he Effects of Industral Structure Change on Economc Growth n Chna Based on

More information

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

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

More information

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

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

More information

ISE High Income Index Methodology

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

More information

Understanding price volatility in electricity markets

Understanding price volatility in electricity markets Proceedngs of the 33rd Hawa Internatonal Conference on System Scences - 2 Understandng prce volatlty n electrcty markets Fernando L. Alvarado, The Unversty of Wsconsn Rajesh Rajaraman, Chrstensen Assocates

More information

THE RELATIONSHIP BETWEEN AVERAGE ASSET CORRELATION AND DEFAULT PROBABILITY

THE RELATIONSHIP BETWEEN AVERAGE ASSET CORRELATION AND DEFAULT PROBABILITY JULY 22, 2009 THE RELATIONSHIP BETWEEN AVERAGE ASSET CORRELATION AND DEFAULT PROBABILITY AUTHORS Joseph Lee Joy Wang Jng Zhang ABSTRACT Asset correlaton and default probablty are crtcal drvers n modelng

More information

Quiz on Deterministic part of course October 22, 2002

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

More information

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates

An Application of Alternative Weighting Matrix Collapsing Approaches for Improving Sample Estimates Secton on Survey Research Methods An Applcaton of Alternatve Weghtng Matrx Collapsng Approaches for Improvng Sample Estmates Lnda Tompkns 1, Jay J. Km 2 1 Centers for Dsease Control and Preventon, atonal

More information

Capability Analysis. Chapter 255. Introduction. Capability Analysis

Capability Analysis. Chapter 255. Introduction. Capability Analysis Chapter 55 Introducton Ths procedure summarzes the performance of a process based on user-specfed specfcaton lmts. The observed performance as well as the performance relatve to the Normal dstrbuton are

More information

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

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

More information

Macroeconomic equilibrium in the short run: the Money market

Macroeconomic equilibrium in the short run: the Money market Macroeconomc equlbrum n the short run: the Money market 2013 1. The bg pcture Overvew Prevous lecture How can we explan short run fluctuatons n GDP? Key assumpton: stcky prces Equlbrum of the goods market

More information

An Empirical Study on Stock Price Responses to the Release of the Environmental Management Ranking in Japan. Abstract

An Empirical Study on Stock Price Responses to the Release of the Environmental Management Ranking in Japan. Abstract An Emprcal Study on Stock Prce esponses to the elease of the Envronmental Management ankng n Japan Fumko Takeda Unversy of Tokyo Takanor Tomozawa Unversy of Tokyo Abstract Ths paper nvestgates how stock

More information

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

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

More information

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode.

Measures of Spread IQR and Deviation. For exam X, calculate the mean, median and mode. For exam Y, calculate the mean, median and mode. Part 4 Measures of Spread IQR and Devaton In Part we learned how the three measures of center offer dfferent ways of provdng us wth a sngle representatve value for a data set. However, consder the followng

More information

Answers to exercises in Macroeconomics by Nils Gottfries 2013

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

More information

Spurious Seasonal Patterns and Excess Smoothness in the BLS Local Area Unemployment Statistics

Spurious Seasonal Patterns and Excess Smoothness in the BLS Local Area Unemployment Statistics Spurous Seasonal Patterns and Excess Smoothness n the BLS Local Area Unemployment Statstcs Keth R. Phllps and Janguo Wang Federal Reserve Bank of Dallas Research Department Workng Paper 1305 September

More information

Tests for Two Ordered Categorical Variables

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

More information

/ Computational Genomics. Normalization

/ Computational Genomics. Normalization 0-80 /02-70 Computatonal Genomcs Normalzaton Gene Expresson Analyss Model Computatonal nformaton fuson Bologcal regulatory networks Pattern Recognton Data Analyss clusterng, classfcaton normalzaton, mss.

More information

Random Variables. b 2.

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

More information

UNIVERSITY OF NOTTINGHAM

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

More information

Prospect Theory and Asset Prices

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

More information

Networks in Finance and Marketing I

Networks in Finance and Marketing I Networks n Fnance and Marketng I Prof. Dr. Danng Hu Department of Informatcs Unversty of Zurch Nov 26th, 2012 Outlne n Introducton: Networks n Fnance n Stock Correlaton Networks n Stock Ownershp Networks

More information

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

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

More information

Network Analytics in Finance

Network Analytics in Finance Network Analytcs n Fnance Prof. Dr. Danng Hu Department of Informatcs Unversty of Zurch Nov 14th, 2014 Outlne Introducton: Network Analytcs n Fnance Stock Correlaton Networks Stock Ownershp Networks Board

More information

Multifactor Term Structure Models

Multifactor Term Structure Models 1 Multfactor Term Structure Models A. Lmtatons of One-Factor Models 1. Returns on bonds of all maturtes are perfectly correlated. 2. Term structure (and prces of every other dervatves) are unquely determned

More information

A Bootstrap Confidence Limit for Process Capability Indices

A Bootstrap Confidence Limit for Process Capability Indices A ootstrap Confdence Lmt for Process Capablty Indces YANG Janfeng School of usness, Zhengzhou Unversty, P.R.Chna, 450001 Abstract The process capablty ndces are wdely used by qualty professonals as an

More information

LECTURE 3. Chapter # 5: Understanding Interest Rates: Determinants and Movements

LECTURE 3. Chapter # 5: Understanding Interest Rates: Determinants and Movements LECTURE 3 Hamza Al alk Econ 3215: oney and ankng Wnter 2007 Chapter # 5: Understandng Interest Rates: Determnants and ovements The Loanable Funds Approach suggests that nterest rate levels are determned

More information

Wages as Anti-Corruption Strategy: A Note

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

More information

Introduction. Chapter 7 - An Introduction to Portfolio Management

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

More information

Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares

Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares Heterogenety n Expectatons, Rsk Tolerance, and Household Stock Shares John Amerks Vanguard Group Gábor Kézd Central European Unversty Mnjoon Lee Unversty of Mchgan Matthew D. Shapro Unversty of Mchgan

More information

Equilibrium in Prediction Markets with Buyers and Sellers

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

More information

Analysis of the Influence of Expenditure Policies of Government on Macroeconomic behavior of an Agent- Based Artificial Economic System

Analysis of the Influence of Expenditure Policies of Government on Macroeconomic behavior of an Agent- Based Artificial Economic System Analyss of the Influence of Expendture olces of Government on Macroeconomc behavor of an Agent- Based Artfcal Economc System Shgeak Ogbayash 1 and Kouse Takashma 1 1 School of Socal Systems Scence Chba

More information

Spring 2010 Social Sciences 7418 University of Wisconsin-Madison. The Financial and Economic Crisis Interpreted in a CC-LM Model

Spring 2010 Social Sciences 7418 University of Wisconsin-Madison. The Financial and Economic Crisis Interpreted in a CC-LM Model Publc Affars 854 Menze D. Chnn Sprng 2010 Socal Scences 7418 Unversty of Wsconsn-Madson The Fnancal and Economc Crss Interpreted n a CC-LM Model 1. Background: Typcal Fnancal Crss Source: Mshkn 2. Theory:

More information

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

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

More information

The Integration of the Israel Labour Force Survey with the National Insurance File

The Integration of the Israel Labour Force Survey with the National Insurance File The Integraton of the Israel Labour Force Survey wth the Natonal Insurance Fle Natale SHLOMO Central Bureau of Statstcs Kanfey Nesharm St. 66, corner of Bach Street, Jerusalem Natales@cbs.gov.l Abstact:

More information

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

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

More information

Tradable Emissions Permits in the Presence of Trade Distortions

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

More information

Market Opening and Stock Market Behavior: Taiwan s Experience

Market Opening and Stock Market Behavior: Taiwan s Experience Internatonal Journal of Busness and Economcs, 00, Vol., No., 9-5 Maret Openng and Stoc Maret Behavor: Tawan s Experence Q L * Department of Economcs, Texas A&M Unversty, U.S.A. and Department of Economcs,

More information

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

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

More information

OPERATIONS RESEARCH. Game Theory

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

More information

Problems to be discussed at the 5 th seminar Suggested solutions

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

More information

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

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

More information

Construction Rules for Morningstar Canada Dividend Target 30 Index TM

Construction Rules for Morningstar Canada Dividend Target 30 Index TM Constructon Rules for Mornngstar Canada Dvdend Target 0 Index TM Mornngstar Methodology Paper January 2012 2011 Mornngstar, Inc. All rghts reserved. The nformaton n ths document s the property of Mornngstar,

More information

Discounted Cash Flow (DCF) Analysis: What s Wrong With It And How To Fix It

Discounted Cash Flow (DCF) Analysis: What s Wrong With It And How To Fix It Dscounted Cash Flow (DCF Analyss: What s Wrong Wth It And How To Fx It Arturo Cfuentes (* CREM Facultad de Economa y Negocos Unversdad de Chle June 2014 (* Jont effort wth Francsco Hawas; Depto. de Ingenera

More information

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

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

More information

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

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

More information

Competition in Hong Kong s banking industry

Competition in Hong Kong s banking industry Lngnan Journal of Bankng, Fnance and Economcs Volume 4 2012/2013 Academc Year Issue Artcle 6 January 2013 Competton n Hong Kong s bankng ndustry La Yee CHU Yue CUI Nan YE Yueln YAN Follow ths and addtonal

More information

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

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

More information

On the Style Switching Behavior of Mutual Fund Managers

On the Style Switching Behavior of Mutual Fund Managers On the Style Swtchng Behavor of Mutual Fund Managers Bart Frjns Auckland Unversty of Technology, Auckland, New Zealand Auckland Centre for Fnancal Research Aaron Glbert Auckland Unversty of Technology,

More information

Analysis of Variance and Design of Experiments-II

Analysis of Variance and Design of Experiments-II Analyss of Varance and Desgn of Experments-II MODULE VI LECTURE - 4 SPLIT-PLOT AND STRIP-PLOT DESIGNS Dr. Shalabh Department of Mathematcs & Statstcs Indan Insttute of Technology Kanpur An example to motvate

More information

>1 indicates country i has a comparative advantage in production of j; the greater the index, the stronger the advantage. RCA 1 ij

>1 indicates country i has a comparative advantage in production of j; the greater the index, the stronger the advantage. RCA 1 ij 69 APPENDIX 1 RCA Indces In the followng we present some maor RCA ndces reported n the lterature. For addtonal varants and other RCA ndces, Memedovc (1994) and Vollrath (1991) provde more thorough revews.

More information

Chapter 3 Student Lecture Notes 3-1

Chapter 3 Student Lecture Notes 3-1 Chapter 3 Student Lecture otes 3-1 Busness Statstcs: A Decson-Makng Approach 6 th Edton Chapter 3 Descrbng Data Usng umercal Measures 005 Prentce-Hall, Inc. Chap 3-1 Chapter Goals After completng ths chapter,

More information

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

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

More information

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

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

More information

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

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

More information

Least Cost Strategies for Complying with New NOx Emissions Limits

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

More information

4. Greek Letters, Value-at-Risk

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

More information

ECO 209Y MACROECONOMIC THEORY AND POLICY LECTURE 11: THE IS-LM MODEL AND EXOGENOUS/ENDOGENOUS MONEY

ECO 209Y MACROECONOMIC THEORY AND POLICY LECTURE 11: THE IS-LM MODEL AND EXOGENOUS/ENDOGENOUS MONEY ECO 209Y MCROECONOMIC THEORY ND POLICY LECTURE 11: THE IS-LM MODEL ND EXOGENOUS/ENDOGENOUS MONEY Gustavo Indart Slde 1 KEYNESIN MONETRY THEORY EXOGENOUS MONEY SUPPLY Gustavo Indart Slde 2 Keynes treated

More information

Solution of periodic review inventory model with general constrains

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

More information

Notes are not permitted in this examination. Do not turn over until you are told to do so by the Invigilator.

Notes are not permitted in this examination. Do not turn over until you are told to do so by the Invigilator. UNIVERSITY OF EAST ANGLIA School of Economcs Man Seres PG Examnaton 2016-17 BANKING ECONOMETRICS ECO-7014A Tme allowed: 2 HOURS Answer ALL FOUR questons. Queston 1 carres a weght of 30%; queston 2 carres

More information

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

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

More information

Finance 402: Problem Set 1 Solutions

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

More information

Net Pension Liabilities, Intergener Title and Pension Reforms.

Net Pension Liabilities, Intergener Title and Pension Reforms. Net Penson Labltes, Intergener Ttle and Penson Reforms Author(s) Osho, Takash Ctaton Issue 2002-2 Date Type Techncal Report Text Verson publsher URL http://hdl.handle.net/0086/4486 Rght Htotsubash Unversty

More information

A Comparison of Statistical Methods in Interrupted Time Series Analysis to Estimate an Intervention Effect

A Comparison of Statistical Methods in Interrupted Time Series Analysis to Estimate an Intervention Effect Transport and Road Safety (TARS) Research Joanna Wang A Comparson of Statstcal Methods n Interrupted Tme Seres Analyss to Estmate an Interventon Effect Research Fellow at Transport & Road Safety (TARS)

More information

EDC Introduction

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

More information

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

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

More information

Which of the following provides the most reasonable approximation to the least squares regression line? (a) y=50+10x (b) Y=50+x (d) Y=1+50x

Which of the following provides the most reasonable approximation to the least squares regression line? (a) y=50+10x (b) Y=50+x (d) Y=1+50x Whch of the followng provdes the most reasonable approxmaton to the least squares regresson lne? (a) y=50+10x (b) Y=50+x (c) Y=10+50x (d) Y=1+50x (e) Y=10+x In smple lnear regresson the model that s begn

More information

NYSE Specialists Participation in the Posted Quotes

NYSE Specialists Participation in the Posted Quotes European Journal of Economc and Poltcal Studes NYSE Specalsts Partcpaton n the Posted Quotes Bülent Köksal 1 Abstract: Usng 2001 NYSE system order data n the decmal prcng envronment, we analyze how the

More information

Principles of Finance

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

More information

Uniform Output Subsidies in Economic Unions versus Profit-shifting Export Subsidies

Uniform Output Subsidies in Economic Unions versus Profit-shifting Export Subsidies nform Output Subsdes n Economc nons versus Proft-shftng Export Subsdes Bernardo Moreno nversty of Málaga and José L. Torres nversty of Málaga Abstract Ths paper focuses on the effect of output subsdes

More information

Risk and Return: The Security Markets Line

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

More information

REGULATORY REFORM IN THE JAPANESE ELECTRIC POWER INDUSTRY AN EVENT STUDY ANALYSIS IAEE 2017 Conference, Singapore 20 th June 2017 Koichiro Tezuka,

REGULATORY REFORM IN THE JAPANESE ELECTRIC POWER INDUSTRY AN EVENT STUDY ANALYSIS IAEE 2017 Conference, Singapore 20 th June 2017 Koichiro Tezuka, REGULATORY REFORM IN THE JAPANESE ELECTRIC POWER INDUSTRY AN EVENT STUDY ANALYSIS IAEE 2017 Conference, Sngapore 20 th June 2017 Kochro Tezuka, Nhon Unversty, Masahro Ish, Sopha Unversty, Satoru Hashmoto,

More information

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

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

More information

CHAPTER 3: BAYESIAN DECISION THEORY

CHAPTER 3: BAYESIAN DECISION THEORY CHATER 3: BAYESIAN DECISION THEORY Decson makng under uncertanty 3 rogrammng computers to make nference from data requres nterdscplnary knowledge from statstcs and computer scence Knowledge of statstcs

More information