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f EDERALRESERVE OfDALLAS FEDERAL RESERVE BANK BANKOF OF DALLAS FEDERAL Third thIrdQuarter Third Quarter 1992 1992 • •• conOIlllC cononnc eVlew conOllllC Malley and and Output: Oulpul: alld Olllfilll: Malley Correl{/Iion 01' 01' C ausali{)'? Corre/alion or Cal/salil)'? Callsa/it),? Correlalioll Sco!! Freeman SCOII Freeman Scott Loa II Croll'lb Groll'lb and (/nd Wall (lnd Q"{/II~)': Some Some LaC/II LOCi I/ QI/ahly: Qlla/i!)': Sollie Loall Prelimi7lar)'' El'idellce Pre/imiIlClr) EI'ie/ellce PreliminalJ' Ellidellee ji'om T exC/s BC/1/ks }i'01n Banks ji'Olll Te.ras 7e.l'lls Ballks Robert Clair RODert T T ClaIr 1Wllell 17bell Will/be Wililbe UII iled Wbell Will Ibe United S iales Groll' Slale.s (/1'010 0111 Oul of oj J~Clles Its Its Foreigll Foreigll Debl? Debt? lis foreign John John K K.. HIli HIli K This publication was digitized and made available by the Federal Reserve Bank of Dallas' Historical Library (FedHistory@dal.frb.org) Economic Review Federal ReS8f1lf! Bank of Dallas RoM" D. MtT..r, Jr. - , - - ... 00IIt-0Ik.- TOllY J. S1tv"lio hr/1o'ioo"-_o.t--.QIkw M_,floselbhn s.... ............ __ fJl""-" W. Mic:a..1 Co. ~"--..,t-.,,,.. Glflld P. O'OriKoII, Jr. IIaI,*-IW,",- _ _ Sltphin P. A. Brown Awrnv.c-""'..... IIIIIs..-w.-r Economists Zsol! Beesl Robert T Clair John V 0111:11 Kanneth M EmBfY Roben W Gilmer DavId M Gould W,lIlam C Gruben Joseph H Haslag Evan F K08IlIg O'AtI! M Pe!flfSefl Kann R PIII!1ips rlOlla 0 Slgalla lcrll Tf'YIor John H Wet:tl MartA WyrN I(IMtIJ YealS MIne K YUceI Rn"rch AssocI'ln Prolesscr Nathan S Balke Southern Methodist LklMKsiry I'l'Olessor Thomas 8 fomtr,o Southern Milthodisl Un~iry ProI8S$Df Scan freeman University of reJIas Professor Gregory W Huffman Southern Methodisr UniVilfsif)l Professor Roy J Ruffin Universlry of Houston PfciesSO' Ping Wang Pennsy/vama Srars Ikweisity Editon -""" c.oJO'Ned Vrgna M Rogerl R.Nw .. tdIiI,IItd by INI FtOenIl IIHerwe Bull ct o.!lu TIIt_ 0)0 IlDlIIKUUIIIy I1!flfCl &or posltlOnl III Ihe F . " """"" a... " o.l~1 Of RnaM S~ ~ . . .-lItIIe ,*oIct.1ga PleBe send ~ b~"" ~ ~ ~ bid. -...:1 ~ dw9Is til !hi NIIic AIbn ~ F..-at fIewwe IIInl oI0111n. SQtlI:IIIItDlltu, T_7S222.1214}9:22·52S1 NtIdn ",.., .. fllllllIIIIII ~ !hi condillOll 'lN1 1he muot:I' II 0'edittII i~ 1M AtsurttI The ~ ..ftSIIII..-. "- of !he....ctoor1: ....:I u.."'" DIoImnInlIl pCMdId 'NIdI. """ 01 .... ~ICII ~ IN rtplnl8Cl""'ll Contents Page I Money cmd Output: Correlation 01' Causality? ScoM Freeman 111e c.:orrebtion hetween ch,,"!.(cs in the nalion's loul supply of mo ney ;md subsequent ch.ang...-s in reo.t OUtput has led some people to infer Ihat polkymakcrs, by changing the mOney supply, G i n stim u1:l1c or mexler:llc the nation's real OUlPU!. Scott Fl't!cm:lIl argues that th is conclusion mOly be i nappropriate. Freeman distinguish..:s '"side mOlley, the money cre:ned oy hanks through their It..:nding, from olltslde mOlley, the money thl' F(:'<icl'3l Rt"i(!IVC prints. He shows that anticipatory increases in bank lending may aCI.."Qum for the rise in the money supply that o ft!!" precedes an c.xp:msio n in t'C::l.1 OUtput. linder this intcrpn..t:uio n, incrt:3ses in the money supply that arc due to Federal Reserve 41ctJo n resull in higher prices, with no increase 10 real output Thu:., the existence of a correlation 1x.1ween money and output tJocs IlOI necessarily Imply that Fed-enginet."f\.-d increases in the money supply have tl.':ll t.lTccts. Page 9 Loan Growth and Loan Quality: Some Preliminary Evidence ji'0117 Teras Banks Robert T Clair Following the failures o( deposito ry institutions in the 1980s, many analysts roncluded th.lt the r.. pid growth of lending activity and the <icterior.nion of loon quality were related. Roben T. Cl:lir testS lhis rt:l:Hionship after separdting loan growth by its source: inc reased It!nding to new or existing custOIlll.:l'S, bank mergers, ;rnd acq uiSitions of f:lik:d banks The preliminary evidence suggeSls th:1I additional lending 10 new or (':"xisting cu~tomcrs beyond what might be no nna l at a given stage o( the busine"5 cycle lower.; loan quality after a thn.'C-year lag. This relationship. based on e vidence from Texas banks. \V"... ~ especially strong at banks with below-average capitalization. ,\{OI al110an growth. however, will lead 10 lower loan quali[}'. Loan growth during an econo mic expansion is to btexpecled 3S loan demand increases. Furthemlo re. well· C'.Ipil3lized banks wen: able 10 grow very rapidly and main· t.... in loan quality. (Conlimled on tbe next page) Contents (Comimtedjrom previous page) Loa71 G7'Owth and Loan QUCllity: Some PreliminClIY EVidence /rom 7i?xas Banks Robert T. CI3ir One mt'lhod of incrc:ls ing loan lending whi le maintaining 1(Y,m quality W'.!S through lhe purchase of frilled banks wi th the assi:-.tancc of the Federal [)eposit lnslIl1tn<:t: Corpora- tion (FDIC). Of w ursc. tllt:,.,!.! purchast:s inc reased lending o nly for the acquiring banks :mu did 1101 rclk '<:l an incrc:lse in Iota I lending for tbe banking industry. Furthermore, it is possible th:.1 FDIC resolut ion procedures have discourdgc...xI the acqUisitio n o f weak but sti ll solvent IXlOks hy stronger banks a nd :Ire lhcreby slowing the r.ue of m.'Ctk:d consolidalion in the banking industry Page 23 When Will the UnUed Stales Grow QuI of Its Foreign Debt? John K. Hilt In a 1989 article In this R(!/J/('u'. Jo hn K. HIli argued lhat the mere aging or the h~hy hoo m Rt:ncr.llion would ca use the UnitL't.! Sta tt:.~ to lx.'COIllt: a majo r ("".!pita] exporter by the end o r the century, To reac h that concill:..ion, he assumed that riSing U.s Clpital outflows could he O'thsorhcd by the rest o f the world wi thoUl :1 d""dinc in inlt:rt'S\ r.tlc:... tn this article, be considers the reasonablcnc s.<; of thtlt assumption and reevalu:Hes the accur.Icy o f his earlier projections. Hilt first examines the demogr.!phics of other major countries to s(.'(: if thcy could Support a r.lpid turnaround in the U.S. capital account. The resutt:i arc decidedly nqr.ttivc. An analysis of c:apita] flows bast.xI on <lemographic conditions in the unitt.-d Statcs, Japan. Gennany, ;tnd the United Kingdom suggests that lhe united Stales could remain a net capital exporter th roughOut this dec:tdc and into the I:'drly part of the next CL"Otury. De..-pite these finding.-., I Iill conlinm.·.. to :..uppon Ius earlier pnT jeaions He argues thaI ncw C'.Ipilal dent:mds made by former Communist and dL"Vclopmg countrics will suppon inlerest rates and help to raise the Inlemauonal inve:.lIllcnl posItions of all industrialized countries. incluiling the UniK-d Stltcs. $cO" Freeman Departmem 01Economics University 01Te)(as, Austin Money and Output: Correlation or Causality? A puzzle AI the center of monelar), economics is a puzzling ol)Serv;llior) : irlnovalions (u nex pected surgl's) in thl' n:ltion's total supply of money arc hisloric:rlly t:()rrc1:ued with inr1Ovation.~ in real output StanJ:l rd monel:lry et:ontKnics can l':lsi ly exp!:.lin why an in(.'re:l.~e in the lllllnber of dollars will incl'l'a:'>C the prin:s of good s and thus nominal output. the dollar V"llle of thl' economy's pro dlK1ion. (jut why shOllld the nlilnher of nearly fictitious items (:;dh:d dollars he linkt,.'1.1to the amount of I'l'al gO(Kls p roducl'd hy workers and mach ines! c'rn dollars make worker ... more inlelligl'nt o r n:dlKl' the hreakdown of Illachinery? 1111.' question is of inlerest to policymaker.. : IS wdl as ;tt::ldemit:s 111e Ft.--deral Reserve System has;l gl'l':lt dt,.';d of conlml over the money supply of thl' United Stall's. If ch:ulges in !he mOl1cy su pply tOll y C:!lISC dl:tnges in rc;1 1 output, the Ft."1.I can Mimtllate (or hold h:Kk) the n:ltion's real production hy lll:lnipu1:rting the money .supply. A Ill(Klei.lIion of tlte husinc.o;.s cycle might then be within the powers of the Fl'dei.ll Iksef\'l' If. instead. changes in the money supply havt: no effect on real output , then d'farts to stimubtt: tht: economy through money .~lIp pl y increases will rl'Mlit only in inflation Thai ch:Lng<:.'s in the Illoney sllrply cause !he (.;h;l nges in re:LI output i~ o nly one way to interpret the ohsef\'ed correla tion hetween the two It might also he that the Olnpui t:h:lnges cauS(;,' the money su pply to t:hange or th:H hmh Ihe money Ml pply ;lOd Olnput ;Irc re:lcling to innovations in some third f;l(;tor. 'Illis !:.IS! pos.~ihili ! y is the f(K'uS of this :Irticle, Friedman ;Ind Schwartz in their historical studies (1 963:1 and 1963h) hrought the positive (;.'(lrrelation hetween thl.: money supply ;rnd rcal Economic R,"vkw _ Third Quar1",r 1992 Olltpu t to thl' attention of the' profeSSion. Positive innovations in the tOla l .~\(x:k of money wen: founc! to occur during expansiorls i n real l'COnomic ;Kt ivity :rnd nl.:g:Lti ve innovations duri ng rece.o;sions In additio n , Sims ( 1972) found thai the innova tions in the money stock preceded the innovations i n o utput. P:ISt in novatio ns in outpu t were o f no help in predi<:.'ting t:hanges in the money Mo(.;k , hut pa~t innov:ltions i n the money stock could help prt..--dict c ha n~t.:s in outpu!. I This finding led some in Ihe profession to helieve thaI the money sl<x:k innovations (.'all.o;cc! the outpU! innov:llions I However, the w.eful ness of the moneyl output correl;lIion as ;1 guide for monetary policy is dwllengt.'(1 by the oIk,CIV:lliorl that w hik innovatio ns in the total money st{x:k ;lre strongly correi:llcd with output, innovations in tht.: mOlletary IXls(<-the money distrihuted h y thl.: Fe'de'r.l l Rcscrvt.·-are no\. Cagan 096;), Sims (972), and K j n~ :Ind PI(lsser ( 19R4) all find that innovations in Olltrut a re n10re ,o;trongly linked to i nnovations in inside 1/101I<:v--th:n part of the money st(x:k When 1fl18l'8S1 rotes W81'emcludea In Ihe St<K1I8S W!m money and outpul. il was/ound Oy SIms (1980) and by Linerman and We.ss (1985) /hal /heir ltlfKlValJOns. flQIltIOseoi money. helped prcchcl OOlpul Stock and WalSOtl (1989) lind mat dclrendmf11he money dIIla restores much oIlhe predICtIVe contem 01 monetary dala Sec S10ck and Walson lor a sc.mm8IY 01 recelll flVeSttgalJOnS ~ro the mcney/Ou/pu/ corrBla/1OtI In oppo$'/JOn /0 /his be/JeI. TOOItI (1910) argued /hal/he prcct1dtJnce 01 /tic changes ~ money did not mpIy /hal money cllanocs cauS«J /he OOlPlJl charlges HiS rcar;cn. 1IlfJ. mal me Federal Reserve rrwgnl be lorward-loolung. d<ffers from tho reBSOfWIg /0 be presenled hete 1 consisting of deposits at banks-than to innovations in the money isslled by the Federal Reserve, o r outside money. This ohscrv:ltion is the key to the explanation of rhe money/ output puzzle that I will now propose. An explanation Some definitions. To !>Iudy the links between money and output, il is essential to identify carefully the components of each. First, a definition ofreal output is nCt:d(:d. In any period 1+1, real output (GN?'.I) is an increasing function F(.. Jof its inputs. For Simplicity, I limit the list to the two most obvious, curre nt labor (I.,.,) and previously created capital (K). An important but realistic assumption is that new investment in capital cannot produce goods instantly-factories take time to build . [ also assume that the productivity of these inputs is subject to random s hocks, which I represent with a par.uncter x/ol ' We can now represent real output in the follOWing way: (3) MS, E Il omilwl CIH71?1lCY + nominal (I£posits. Currency consists solely of notes and coins is.'Rled by the FederJ.1 Reserve. Deposits are more complex ; they a re nO( s imply held as <-'aSh in the vaults of b'dnks. A fract ion of deposits is held as noninteTCSt-bc-dTing reserves in bank vaults and aI Ihe Federal Reserve; the rest is lent to businesses and home buyers fo r Ihe interest it generates In this way, bank deposits are (partially) backed by capital, be it the investments of businesses or housing. Let liS therefore call the interest-bearing assets of banks i,,'ennediated capital, capital that is invested from funds gathered by banks. This le:lds to the equation (4) nominal defXJSils - 110m ina/ reseroes + 1Iominal inlermediared capilal. Together, equations 3 and 4 imply thai ( 5) MS, l!!i 110m ina/ CIl/n?ncy + lIomillal reserves + nominal inlemwdiated capital. (I) Capital may come from two sourc(.'S, direct investment by individuals (1<,> and investment financed by bank loans ( II,) , implying By law, currency and reserves can only be held in the fonn of noninterest-bearingfiat mOlley, money created by the Feder.!! Reserve. Therefore, these two tenns are combined in (.'q ualion 3 to get (6) MS, !!! 110m ilia/flat mOlley + lIominal illlennedialed capital The money supply in some period t (MS,) is defined as the total dollar vlllue of assets readily used in making purchases--currency lind liquid (checkable) deposits HI blmks and similar fi nancial intermediaries,.! whic h can be w ritten J Each measure 01 rnoneycaiculaled by Ihlt Federal ReseNe include, boIh CI.If16flCY and $01'716 deposits The meBSl.Ifes d,ffer by /he variety 01 CWposils included. btllthal need nor CMCefn us here Mosl 0I1hlt empttical studies looked at /he most reSIf>Cl1ve delinitltYl. called M I • Illhere were no ht::IIdtnQs 01 Cllf6flCy. Ihlt money mu/I,pIiei wouf<t SInlPhly 10 ~ invt'rse 0I/he reservc-lCXJepos.t rallO. which IS /tie money mu/ltpher oIIcn laughl"., introductory 16KI/;IOOI(S 2 • I/o/1//11al/lal mOlley nomi,wl {lIIemledialed capital x (J -t llOminal/ial money ). Equation 6 reveals that the total money s upply equa ls the stock of fiat money times an expression I will refer to as the money mulliplier. The money mu ltiplier is I plus the ratio of intermediated capital to fiat money.4 The stock of fiat money, often called thc moncrary base---or highpowered money-is always known, as it is chosen by the Fooeml Reserve. The money multiplier the n reveals Ihe total money supply for any given value of the monetary base. Consider some examples Suppose thai people hold currency but no deposits. '111e money mul!iplier is then simply I, implying thai the 10(31 money supply is s imply Ihe supply or fial money. all of it lIsed as curren",. Federal Ra>crvc Bank or Dallas As the use of deposits expands, there is now some money backed by intermediated capital in addition to the money backed by the monetary base, so that for any given level of the monetary base. there is more total money Let me introduce some notation to make equ:nion 6 mo re readable and useful. Let Al, denote the nominal stock of fiat money, the monetary base, and tCt Q, denote the real demand for fiat money, the number of goods that people will give up to get the fiat money balances they desire. Recall that H, denotes the real stock of intermediated capital. A nominal value of a variable is the product of the price level (p,)--an average of the prices of goods-and its real value, tbe goods that can be purchased by the nominal val ue. This implies that (7) nomilull imemlediated capilal - p, H, ' and (8) nominalflat mOlley i!! At," P, Q,. If one substitutes these expressions into equation 6 and divides the top and bottom of the fraction by the price level, the money multiplier is expressed in reat terms, which will help link it to real output. This we do in equation 9: (9) Notice that there are two possible sou rces of fluctuations in the tOlal money supply--changes in the mo netary base and changes in the money multiplier. Changes in the monetary base are caused by actions of the Federal Reserve. Changes in the money multiplier. however, can occur if changes occur in the ratio of intermediated capital to fiat money, a ratio affected by a private decis ion-how much money to hold in currency and deposits. The more people favor deposits relative to currency, the greater the money multiplier and the total money stock; that is, for each unbacked dollar of the monetary base (fiat money), there arc more dollars backed by bank loans and more money in IOlal w he n the rdtio of deposits to currency Iflcrea$Cs. What might influence an individual's choice of deposits o r currency? It is reasonable to expect Econorruc Review - Third Quarter 1992 that the choice w ill be influenced by the person's relative costs and mtes of return. Currency is generally the more convenient of the twO, at least for smail transactions; it takes less time and effort to usc than checks drawn on bank deposits. Deposits. however, offer interest and thus a better rate of return. Most of us hold both deposits and currency, bala ncing their relative costs and returns. It follows that if the costs of one relative to the other increase, Jess will be held of that form of money. Similarly, if the rate of return of one s ho uld risc, more of that form of money will be he ld.~ Banks also face a c hoice of how to allocate the deposits they r(.'(;cive between interest-bearing assets and reserves. Reserves, whether held as vault cash or as deposits w ith the Federal Reserve, represent funds that banks can use to make payments at little COSt, but they pay no interest. Therefore. the higher the rate of return available to banks, the less banks will want to keep in reserves and the more they will want to invest in interest-bearing assets. In recent decades of high intcrt.'"Sl rates, banks have tended to hold as reserves only the minimum required by the Federal Reserve. In earlier decades, when interest rates were lower, nOlably during the Great Depression, banks often held more reserves than required. The money/ output correlation. The empirical studies of Cagan and the others listed above found that changes in output arc correlated w ith changes in the money multiplier. Let us examine an example of how this correlation might come about. 6 • WIlilemoslolus maynol (J8ymucll allootion 10 lila CUirency balances we hole!. /Ilis c!BeJSJO() Is not trivial 101 those llandlJfM} largs amotNI/s 01 currency on whiclllhl1 fotegone WI/eres/ may oe substanl,al. • TIle eJlplana/1On 01 fh6 moneyJoutpcn Cf)((e/.a11On ptesenled Ilere is lakf/fllrom Freeman and I-tJItman (1991). wIliCh clfew on ideas from Sergenl and Wallace (1982) and Freeman (1986) 11"111 example ptesenled ,s only one 01 many po$S,bte ceuses 01 a moneyloulPUl ctxrelalJOfl IllS pte-senled as an illustrallOn. fIOf as an asserl.oon 1Ila1111S me only possible cause Se8 TobIfI (1970) and McCaIlvm (/983) 10' allern8W& eJlJ)lanalions 3 Suppose:.' some i,lndor11 event - leads people to believe that capital will he 1c:-.s prodU(livc (and thus offer to pay a lower r.lle of return) in the next peri<XI. A likely rC:lction of invt:stors wilt be to inn"M less in the current period. Not only will diret.l inve~lment (J(,>f:dl, hut so will im't:Stmenl finann:d through bank loans U I, ) The effe(l on real output is dear: it will f:111 i n the next peri(x1 as the ~su h of bmh the lower pnxlucl ivity of <::lpit:11 and tbe lower inve.~tment In audition, the !low of savings from inveStllll.'rlt TO other a.... scts will drivC' down Ihe real inlert.'sl r:lte of :111 a.~s.:t.... WhaT is the effect on the money supply, MS, = M,( I + ~: J? The low of the money: that i:-., il will lowt'r tht' p rice level. The.~l.' clT...'ct~ ;tre MLmmarized in FigUft: l. The pattern predicted hy th is ana lysis fits the d;Lla puzzled (j\'er in the i ntnxl uct io n. Changt:s in the total 1I0m iO:I I money sto(:k arc correl:tt ...><.! w ith changl.'~ i n re:1 1 output. 'Moreover, the two move in the S:IllH.' dirL'Ction. with Ihe ch:tnge in money preccding the change in output. Wh ile I cbose only one parll!.:ul:tr shock to St:IVt.' as an illustr.ltion, the mOnC}'/Olllput corro:lation is far more gl.'ner.ll l..Ix)k :lg:rin at the e<.ju:tlions dcfining outp ut and lire money stock : G.\I' = x. return on <::lpit:d docs F( I.. " J. , + /I I, anu nothing to ch:.mge the morletary hast', 11,4" hut w hat MS, = /11,( l +~). aboul the money mu ltip l ier. (1 + ~: J? Fan.:d wit h (9) a reduction in lire 10:ll1s they <::In make ( H , ) . h anks m ust eith.:!" ho ld more reserves o r accept fewer d epOsits hy lowering the i.ltL' of r.:turn offert..-'d on d eposits. therL'hy encour.lging JX'ople to lise mor.: currency, '111e l1cm;md for fbI money (Q,> is therefore in<.:re:rsed through some comhination of:m increast'd dem;lnd for n:seIVes and (or currency. As we S:LW :tlxJVe,;1 decrease in the ratio of hank loans to fia t money represents a Eql,;u ions 2 and 9 I"t:v.:al Ihal both output :md th l' money .,tock :tfl: i ncreasing functions of 11" whidl repr...'sents bank loa ns o r int...'rmedi:Heu capital. W!lat.:ver Glu:-,es b:lnk loans 10 increase results in :10 inaease in the money supply and, wil h a dday, in re:tI outpllt (other th ings heing clI lwD Active monetary policy. T he Fc..+deral Reserve has ('(Jnsider.lhle l"Omml ovt'r the tot:11 money supply, Given tht: ollServed fX1... it ive correlation I~tween money :md output. Gin the Feder.!l Reserve .~limLl1att.' Ihe econollly by t'xpanding the stock of monl.'Y? Let's tl)' this out The most d irect way to inae;!se the money .... tock is to pri nt more fiat money. Supro.sc, therdore, th at in some period t, the mo netal)' authorit y dou bles tht;! stock of fial mont:y, distrih ut ing tht: new money to p eople in proportion to their holdi ngs o f money so that no im;ollll.' is red istrihuteu Will th is hring about a change in real output? No. This is:l p urely nominal change, a changt' in unils. Prices w ill douh lt;!, h ut no real decision wil l be :tffected. PI.'Ople will chcXlse to hold tht;! s:t me rea l value o f deposits, c:tpit:ll. reserves, and currency as before Ix:causc no r.lIt' of relurn is changed b y th is o netime expansion of the nu rnhc::r of dollars. I n particular , tht' nom i nal change will not induce any cha nge in rt:':tl in vestment plans or rea l output. A pol icy of printi ng fia t money w henever i nside money contr.!ct.s can stabilize the total money supply and the price level b ut not re;1 1 outpu t. decrease i n the money m u lti plier, ( I + ~: ) and thus a decrell.'>C in the tOlal money su pply ( MS,). Fin:Llly, what is tht: terfe('1 on tht: price level. P,? The price level can Ix: determined from equation H, which tell us that the nominal slock o f fiat money must equal ilS dem:1I1d in nominal tt:TIlb: M, (10) 0' = p,Q, AI P'=Q: T he increased dem:tnd ( incrc:tse in Q,) for:1I1 u nchangt:d stock or fi at money will r.:J i.>;I;: tht: valut' • Examples IOCIud6 IWCh drverse evetllS as pohflCal Of milt, IMy /fIrcalS 10 011 $U()fJIH1$. ~ droughlS affecJJng the fall h_st. lec/YloIogical changes. Of 8verl unfounded fearsoflflVCSIOtS. 8S ~/fIlhe KeytJeSlan /fadillOfl • Q, Fedcnl' Rese rve Bank of Dal.l.u Figure 1 The Model's Chain of Causes and Effects ""~ -"In PloduclMly. .... ,. THE REAL SECTOR/ ca~t"K, l [)...a~ t.I.. K,l InI&rrMdill8ll ~ t ..... 14, l THE ~ ONETAflY SECTOR ~ I.... GNP,. , I / '\''==~O'l The poce ......1tlUI. Il, I T"- mooe, _~Ipl ler 1 ~ 1Is. , • H,,o, / '*" kIaroII !.~ . H,l ¥ I T"- IoQI .....".,. >1od1 talls. MS,. Grecn pit.'CCS of paper ca nnot substitute for the real capital th:u banking provides." Lessons The .. bov!.' :malysis (or Qrnoden is of interest not :>imply be<.'<lU5e it explains the money/ output correlation . Any clever economist ca n come up with :t model to explain some single bct 111is panicula r explanation is cs[X'Cially intriguing because it not only explains {he money/ output correlation but in so doing explains a phenomeno n not generally a ddr~ssed by traditional models of money- th:n inside money is Inore tightly linked to out put than i.~ the money distributed by the Feder.!1 Hese ..ve . r cannot claim. however, that this simple model rep~nts ahsol ute tmth or captures every complexity of tile beha\'ior of Inoney and output. Neverthcies.... this m<xlel illllStr:ltes two way!'> in which the monetary economists and policymakers may have been mislt.-d by the observed money/ output correlalion. First, the modd iIIu!>tratcs why a correlation o!Jscn.'t.-d hetwccn two variables does not imply that one caused the otht.,.. SetUld, it shol.....s hO'N measun:s of money may mislead the analysis of monetary policy by lumping logt."1.he r two very different types of moncy. Let us examine these in turn. Economic Review _ Third Quancr 1992 Correlation or causaUty? Although money may be:: historically oorrcl:lIed with real o utput, we see fro m the illustration above that this does nO( imply that the changes in the money supply cause the changes in o utput In the example studied, when money :lIld output both fa ll , hath are reacti ng to the anticipated decline in the productivity of Glpitai. As investors anticipate a reduction in the retu rn from capital, both direct and intermediated investment fall, which reduces output. TIle reduction in inte rmediated investment (bank loa ns) implies a reduction in the money multiplier ~md the lotal money stock. The money stock reacts first becausc a switch to c urrency and reserves can be accomplished instantaneously, while a reduction in investment will take a period to reduce out put becausc of the delay between the ;lct of in ....estmcnt a nd the omput it produces. • An If!l6fesllng fea/(J((fo/ rh9rrw:Jd6J If! FleemanandHuffman (1991) and the IslarfK1 model 01 Lackw (1988) IS Nr IInllC!plltiJd future If!f/atIQ(lCllll st.mulsteoutput bylfldlJcHlg pscpIc /0 SWItch from currency to 00p0sJts The effeetlS II smart one. I'tow9V11f. $IIlCC currency hok:hngs ilIe small reiabve /0 /tIC 118110'1$ CIIPltaJ srock , (In rn;my Wily!> this is similar to stcx:k 1ll:lrket drops that occur before reces.~ions. The ~t(x: k market can respond in:-t:.mt]y to a drop in :mticipated profits. but it takes tim!.! for [hc rcbtcd drop in investml.!nt to show up as ;1 drop in output.) This example dcm()n:·,trJ.tc~ a l'Olllmon pitfall in (.'Conometric \vork involvi ng the tot:l] mont:y supply. The money supply is a n endogcnous variable: it rt:'dl"t:. to olher chan~cs in the <,,"omomy. Therefore, obsclYcd correlations between money and some other endogenous \~.I riablc (suc h as output or interest r.lles) may result from the f(.'ilCtions of both to !>ome economic event. The observed correlation and even precedenc~ of money innovations to output innovations in no way implies that money innovations cause the OlLtput innovations. It is easy to unde rstand that statistical evidence that any twO variables movc togcthtc'r docs not prove lh:1I ch:lnges in either ont: elus!;:s the chang. .·s in the other; :1 third v:l ri:lhk could Ix.' the source of hoth ch:mgc:-. The simpl!;: intuition underlying this ex:unplc i.s that even evkk·nCl.: th;lt o ne of the variahles c hanges first docs not prow that the fi rst o ne to cha nge GlllM!S thc c hange in the ()(he r. It may ag.1in be a third fa ctor th:1I GlUses the other changes. but one variable rea ct.~ lx-fore the rnher. Therefore, :IS Cooll.!y ,lnd LeRoy (985) and Leamer (1 985) have ;!rgued. the direction of a Glus.11 relatjon cannot be cstahlishl."'<.I hy tht: purdy statistical device of establishing which v:lriable cha nges first. The qua ntity theory. Finally, the e xample presented here warns llgainst exclusively flx:usinH on 6 monc ta ry :t~ regal cs that treat inside and Olllside money ;IS if they were entirdy the same Inside money represents deposits invested through banks into caril:11 projects. In thi!> way there is a d irect li nk between ins idt: money and the real e(.'(lnolll}'. In contrast. outside moncy (the mOl1e· t;uy hasc. or flat money cre:ned hy Ihe Federal Reserve) represents merdy unbacked pieces of paper with no d irect link to re:ll production. It i~ not s urpri~i nR . therefore, thaI these two forms of money have very different links to output in the claw. The quantit y theory of money is so n:lOK'd as a ."ta[cment that the total qU:lllIity of money, not its (;o!11position. minters. This may be lme for the prOVision of tra nsaction service." [hat money proviues. I lowe\,ef. bOlh the d:II:1 :md the theory de'-;l"Tihed hl:!rl.! indicllc that the links of money to rc:tl output arc Vl:!ry different for inside ;Ind outside money When measures of mo ney fail to distinguish hclwcen the two. corre btions bct\veen inside money and outplll appt::lr only as correlations between tot:l l money and output. Observing thc l'orrc1:nion ht:twt.'"Cn tOlal mo ney and OUlput. thc Fcder.. l Rt.-scrvc quite n:llurally might hope that thc (oUlside) mo ncy the Fed prints will incrt:'.I!>C output. Tht.·sc hopt:s will be d isappoinled if output is only 1\:1:lted to inside money_ Ir the money/ oUi put correlation is to be studied as :J. guidt: 10 mo netary policy. o nly the links between output and Fedl.!r:ll Rcserve actions should he examined. Federal Rese rvt' Bank of Da LW References Cagan, Philip 09(5), [)etenlljllanfs alld Effects of Changes;1I the Money Stock, }8 7~ 1960 ( New York: Nalio nal Bureau of Economic Research), u.s. Cooley, 1110 m:ls, and Stephen leRoy (985), ~ AtheoretiCII Macrocconomics----A Critique," Allan Mellzer, Gamegfc-Rocbester Conference Sen"es on Public Policy 22: 25S-303. Lillcrman , Roben , and Laurence Weiss (985), "Money, Real Interest Rates, and Output: A Reinterpretation of U.S. Postwar D3la ,~ Econometn"C"J. 53 Qanuary): 129-56. j Ollrnal of Monetary Economics 16: 283-308. ~A ReconsiderAtion of Sims' Evidence Concerning Monelarism, ~ McCallum, Hennen (1983 ), Freeman, Scot! (986), "Inside Money, MonetaI)' Contmctions, and Welrare ,~ Canudianjoumal Economics {.etters 13: 167-71. of Economics 19: 87-98. - -- and Gregol)' Huffman (991), " Inside Moncy, Output, and C:Lusa lity." }IItenwtionul Economic R(,.>tJiew 32 (August): 615-67. Sargent, TIl omas, and Neil Walbce (982), "The Real- Bins Doctri ne vs. The Quantity Theory: A Recond liation,H joumal of Political economy 90 (December): 1212- 236. Friedman, Milton, and Ann;! Schwa.rtz 0%3a), " ~'l oney and Business Cyclcs,~ Rc>tJiewof Economics {Hul Statistics 45 (February): 32-64 Sims, Christopher (1972), "Money, Income, and - - - and - - - 0963h), A Monetary History of the Uniled Stales (Princeton , N .J. : Princeton - - - (1980), University Press). Causality ,~ American Economic Review 62 (September): 54~52. ~Compa rison of Interwar and Postwar Cycles: Monetarism Reconsidcred,~ Amen"am Ecouomic Review 70 (May): 250-57. King, Roben, and Charlt:s plosser (984), "Money, Credit , and Prices in a Re;1 1 Business Cycle, ~ Amen"aOi Ecollomic Review 74 Qune): 363-80. Stock. james, and Mark Watson (989), "Interpreting the Evidence on Money- Incomc Causality," JOIln/al of &Ollometn"cs 010 Qanuary): 161-81. Lacker, jeffrey (988), "" Inside Money and Real O utput ,'· Economic /.ellers 28: 9-14 . Tobin , jamcs (970), "Money and Income: Post Hoc Ergo Propter I loc?~ Quarterly journal of EcOllomics 84 (May): 328-29. Leamer, Edward (1985), "Vector Autoregressions for Calls;!l In ference?~ in Karl Brunner and Econ o m ic Review - Th Ird Qua n c r 1992 7 Robert T. Clair Senior EconomiSI and Policy Advisor Federal Reserve Bank 01 Dallas Loan Growth and Loan Quality: Some Preliminary Evidence from Texas Banks F IJIII)\\'ing Ill ...• bilun..'s (If nullwf<!ll.... d<..·I'}()·... ilory in:-.lillllion."i in Ihl.: ll}xO:-.. lJIany a n aly.~ls dl'l.:\\ 11K' c<mclllSi(ln (1):11 IIl ....,.t.: W : I.... :1 rei:tlilH1sllip hcTWt.:en r;'lpid gro\\'lh (If kndin).: :lcth'iT Y and lk- t c riol ~ l tio ll 01 10:111 qll:lllty TIl(: 1'I.; l;!ltonship beTwl.:ell lo:m gro\\'th and 10:111 quality b compli.:x. lIo\n:n:r. and ~:-Ola hl i ... h in!-! Ihe rebllonshi p 1,..;l w ...·l'n gro\\'lh :md quality I\;qui rl':-' I.:x:unin ing diffcn,'n! ....ourCl':-. o f growTh and l'stim;nillg Ihl.: :ICI U:11 10;111 qu:dity \\ ilh commonty u:-.o,;d quality raTios ..~ltlh :1:-0 nonrx:rformi ng loa n I.nilh and dl:lrgL'-otl r.lll·:-' I'rclimin:IIY .... \ id ....Ill'L· hax'tl o n d;lta fr0111 Texa:-o hank:-. in(l i(.·;lIl·" tl1:11 loan j.!Iowtll through addltion;)1 lendi ng [0 ilL'\\' or .... XI... l lIlg nl.... to!lll'r.( i Il1L' rnall~ g;,:n ...·I':IIL,d ).,:1'1)\\ [h) in uLllly itnpnl\'l's m ....a.. uf<..·d nedit qualiTy but 10\\,;,:1"0 qU:l lil }' :Ifll.:r a lag Thi:-. rt::-.ult ,.. compkh.:ly L'( lIhbtcnl with the dla'1!o.:' Ihal SlJIll;,: h:.mk... j.trL·\\ 100 ql llek ly :lnd wcrt: unahk' to 1ll;'lIntain cn.:dil qualilY '11K' po~ili\'"" initial .... OcCi:-. :Ind till' Ia~ in th ..· rd:llionship Ix·I\\' ......·/l loa[\ gro\\,t h :lnd qll:lllt)' d,,·h.:rior:ll ion ."iugg....st IIKI! "" :lrly d....l t:ctl0n of l k·din .... i n qU:'l lil )' b diflkuh :1I1d a c llall .... ngL· 10 h:tnk l\\an:'lgc1':-'. dir....l ·tors. :md t'X;IIll IIl .... rs Th ...· rd :lI ionship Ix·! "'......·n IO: 1Il growth :Ind 10:111 q ualil Y dL'to.:'rior:ll loll appe:'lfs 10 depend on :I h:lnk':-. I.:lj1.lIty I'}( ),~i lion Rapid ly :.:rowi ng h:lnks \\ilh high kn·1:; of ....qllil}' did nOI sho \\ "'vidL'ncl' of a dl:'ll'fio'~ltion in lo an quality. Thi... r....:-.ult :-,uPI'}(m:-. l'Urrl'nt pn)gr.lllb ()f Glpital-h:l:-o...,d sllp.... r\'i .. ion of h:lnk:-. Loan growth Ihrough Ill.... :Kqui:-.ilion o f oth.... r hank:-. kXlern:llIy g ..'ncr.l l ..'t1 gmwl h ) ha:-. (lin .... r.... nl dit'L'I~ on loan qll;!lil)'. dqx:nding 01\ Ih..· [ype of :lCqu;"it ion. Thl' acqui"iition o f bikd b:lIlk!'i wiTh :I.... SI:-.I:11ll".... fmm I h~ Fl'tlcr.l1 l).... pO:-.il In:-our.lnn· U)Q'}()r.llion (FDIC) typic l ll}' iIllPf( )\'L'S n ....dit t:COnomi c R"",k-w _ Third Qua.ner 1992 qualily In c() nll~ ! :-.1. loan growth through mcrgers :' l nd a cq lli .~ itions of h: lnk.~ withOlIl any FDIC :'1."i:-.btaIlO: Typic:ll ly low<.:1's I(mn qU; llit y The h .... ndlrs of FDI C a....~ist an ('l' in hank :Icquisition I\\a y be . . Iowing till' r.lt ..., of consolidalion of the h:lnking industry hy .... ncol1l'aging banks to delay :Kquisitio n:-. o f lrouhled b:lIlk:-. unlil the FDIC pr( lVide:-. a ...... isl:lnn'· Thcoreticallink between loan growth a nd loan quality LogIcal .. rglull,,·nls C IIl IX" made rd;lting loan th 10 hllll ri..' l<xlIl qual it)' For .... xamplc. a bank ..L'L·king [I) inL'fl':lSC it-. mark.... t share might lower it.. umkn\'J"illng standard:-. 10 allr.ll:t more loan l·U:-.IOlll .... r:- TIll' undt;.·[\\ rilin ~ ... I:mdards ar~ L'rnlx)(l il'd i n IllL' nonpric.... lerrn.~ of a loa n. including colla1o.:r.d r.... quirt'm enl.~. pL'rsonal guaranlees of horr()\\'.... r.~. :md IO:1Il l·O\'l'n:mIS. If a hank lowers tlOnpriCL' t<.:1'Ilb 10 :llIf:Kt IlL'W 10;111 customer.... thl.: l1 it is inl'rl':lsi ng Ihe.: risk expOS\lre.: of Ihe bank hy low.... ring lo:m qualiTy. Ev.... n if:l h:lI1k :1It .... ll1pls to maintain thc $ lInc crcd it standards. Ihl' nt:\V horrowers it allr:JCIS may I'll' o f lowl'r ;1\·l't~lg .... qualil Y a:-. a re.:sult of :)(Iv<.:rse .....·lI:l·, io n. 11' ;1 hank is alll.:lllpting to ~pin the hll."iin ............ or Ix)rrowers tll:11 hav<.: l'stablishcd hanking rdalion:-.h ip:-o. il is :Irguahk thaI the lowestqua lily l'U:-oIOllll'..... w ill Ix' L·:lSi<.:SI to :1Itr.lct. Banks grO\\ / .... s/I to/hanll GcraldP O ·o"scoll. Jr. Kew'lJ Years. and fhomBs F $I1!fllS for helplul COFIYI'ICflI$ and dlSCt.ISSIOflS • will work hardest to keep their hi~hest -quaJit y borrowers Lower-quality borrowers, o n the other hand . willl~ bid away fmm their exi.~t ing hank more easily The bank attempting to grow will more likely :m r.K1 !mver-quality Ix )rrowers on average and, therefort:. experience lower loan quality in the future. Alternatively, a hank that fails to provicle sufficient resources for crc..'<.!it admini.'Hr.ilio n during periods of r:.tpid growth may have highe r nonperfo rming loans in Ihe f\ltun.! If the IXlOk pursues morc rJ.pid 10;10 growth hut faib to increase resources devoted to cn...-dit :ldministration, the new loans 111:J.y not be properly monitoH..-d over time. Close monitoring is needcd to .~ pot troubled credits early, hefore they grow in size Thc misallOC:ltion of inputs Gm result in lowc.:r loan q uality even if the bank has no t lowt:red its underwriting stanclard.~ [t has been suggested that the collapse of the Bank of New Engl:lOd is a IXls.'iihle ex:ullplt: of these prohlems According to :1 relxm by the General ACCOunting Office. the Bank of New England more than quad mpled in size from 19H5 to 1989. Ba nk examiners cited :I S prohlems a lack of independent loan review :lOd ollt-of-date nedit documentation (American /kInker, Scph: ml~r 20, 1991, p. 14) During tllis period. the hank made many loans that ultimately dt:f:l ulted These loan losses mig ht have IlCen significant ly n...--uu<.:t.:d if credit administration and monitoring had incrcaSt..--u in proportion to le nding. Analy~es of thrift bilurc.:s suggest that some depository institutions consciously :Klopted highrisk, high-growth strategies after their capital positions had fallen 10 nea r or he low zero. Some b:Inks have found the mselves in :1 simil:ir position If bank equity holde rs have lin Ie to lose because their capital has cr<xled, they may undertake a high-risk strategy in an effort to grow out of their troubles. In the event that the new 10:lns default, the loss will be horne prim:lrily by the FDIC If these loans are repaid, the hank e q uity holdt:rs may reap sufficient income to rLoGlpitalize the bank. 111is str.ttegy is possible only Ix.--cause feder.. 1 de posit insurance allows the hank to r.. ise whatever deposits are needed to fund the .~ t r..tegy. This is a c l:assic example of moral hazard-that is. the provision of insur.. nee d langes the I~havior of the ins ured (Kane 1985) \0 It is fully possihle. however. for loan growth to have no <...ffeet on loan q uality o r even positive effect.... During the recovery and expansion phases of:l bll."iness cyde. lending increases ix.'Cause o f strong loan demand . The .~trength of the economy :llso increa:-.es loan quality. Consequently, loo n growth may be correlated with an improvement in loan quality. :I .~ nonpctforming loans are likely to d t..'dint: in a strong economy. The dTc..-ct o f the economy o n loa n de mand and loan qua lity is not limited to husiness cydes StructllrJI c hange ... in tht: financial markets could also gc.:nt:r..ne a positive rt:lationship between loan gruwth and loan quality For example, remOving restrictions fro111 h:1I1ks that limited the ir ability to serve the needs of borrowers could increase loan wuwth at banks. Al the same time . it might open access to new customers for banks th;!t are, on aver..Lge o hig her-quality IXlrro wers or that permit weater diversification. Strong loan demand r11:!y not :Ilways result in improved loan qua IiI}' If the dri\'ing force llChind strong loan demand is a spt."Cl.Iiative bubble, then the reJalionship between loan growth and lo:m quality i.~ di.~toned . Stiglilz ( 1990) casually defines;I huhhlc as occurring w he n -the re-J.son that the price is high today is OII~V bec:l usc investors 1~lieve that the sc::l1 ing price will he hig h tomorn lw-when ·fund:unental' f:lCtors do not st..oci11 to justify :>ouch :1 pricc·· ( p. 13). Shiller (1989) h:ls shown evidence that speculative bubbles m:!y exist fo r stocks, ho nds, :md residenti:11 real estate. The decade of tht..' 1900s saw an inc rease in assethased lending in hoth re;ll estate and corporJ.tl.' loan transactio ns. Because repayment of assetb:lsed loans depends primarily o n the future selling price of the asset I~ing fi nanced, the collapsc of a speculative bubble could lead to dcterior..ltion of loan quality, especia lly among asset-b;lsed loans, such as re:11 estate loa ns and loans for co rpor..llc restructuring. It is undc;!f if 10:10 growth should be blamed fur the dl..-cline in I(xln qua lity follow in~ the bursting of a speculative buhble Cc.:nainly, if the loan gn)\\1h had Ix.-cn more moder:.lte, Ihe bubble might have 1x.'Cn smaller o r might never have been fonnc..--U On the otm.'f h:md. the driving force behind the hubble W:1S the expc.."'"Ct:l\ic)Ils of Ihe IXlrrowcrs. Furthermore, the hursting of a ~pecu l ative bubble often results in an t:('()nomic downturn th:lt will fn:lr:na l R~ n..r: Dank of Da llas likdy cause dctcrior.ltion in fhl.' lo.:m ponfolio!' of all b:mk!'>. rq.,:.lrdll.'.·.s of their growth r.ltes. From an :m:llytic.1 1 point of vicw, it is difficul! to .'>Cpar.lte spcnlbtive buhhle!'> from other factor!' that caw.l: ilu!'>inc,>:- ("p. . ll:s Funlll'nllofe. some L'COllom;st:- arguc that bubhlcs do not exist They :Irguc that wh:LI appears to 1"'11: the hursting of a bubhle b re:llly :1 market real·tion to nl'W inform:ltion C""..Iu::.ing the .~ha rp l.It:cline in prices. I will not :lIfClllptiO Sl:par.lle Ihe t:fft;.'(t... of !'fX-'Cubtive bubbles from othcr lIlovcmCnI_' in the hu,iness cycle. The cyr:ii('";11 movcmcnb in lo:tn demand and loan qua lity ,." ould rcsu lt in the erroneOllS condu:-ion that loan ).trowth and loan quality are necessarily related. Loan growth could result from strong economic wowth. and loan quality could deterior.lIC from an l'conomic downturn. Consequently. a business-cydc boolll followed by a hust will create a pattern of loan growth follO\....cd by dete rior'..Iting loan quality. Loan growth :lOd loa n quality Illa}' ;Ippear t'aus:llly rdated when, in fa<.l, they are ooth jll:-t correlated with the husincs::. cycle drh'en by other forces. A :-tatistied analY!'is de.'!ignL-"l1 to explain the change.~ in loan quality needs to :Idiu.'!t for hu::.ines:.-cyde dfL'Cts. Of cour..c. fr..lU{I CQuid he a ' 'lx'ciall''"J.se' of loan growth heing correlated with declines in loan quality. Extremely rapid loan WO\\th wa . . observed at many s:l\lin~:- and loan assodations hefore their failun...os [n some of these caS<.-'S. criminal fraud was the driving force hehind the loan growth. I Ely (1990) estim:lled th:1I the Fl'ller.ll Savings and loan Insur.lOl·C Corpor.llion incurred IO"...$es of S5 hi Ilion from crimin:11 fr.\Ud at insolvent thrifts. representing a small share or it.. . total losses, estimated to be $ [117 billion. low 10;111 qualifY in these c..ses i." the result of the fraudulen t intent of the lenders and. in all likelihood. the borrowers also. The r.lpid loan growth is :1 possible symptom of the fr.lud. but it is not rhe GIlI . . e of the fXIOr loan quality. Method of loan growth hy acquisition or merger. The acquisilion might he a hC'..Ilthy IY.lnk or a failed Iy..lnk with Ihe :Issistan('t: of fhe FDIc:. Again, the imp:lLl on loan quality mi~ht be quite diffen.:nt. depending on the source of loan growth. In this ~uticle. growth is separated into three categories: ~rowlh through acquisition of a failed hank with FDIC assistance. growth through an una::.::.isted anluisilion or mergcr, or internally general<:''li grnwth In somc C..lSC. . , the effect of each type of growth on lo~tn quality can he suggested. but in other case:.. it is difficu h to hypothesize. Loan gnlwt h through the :It'quisition o f a failed b:lnk with the assistance of the FDIC is unlikely to afTet! loan quality adversely. In most of these tr.lns':lttions, the FD IC n:moves the lowquality credit... from the loan pOltfolio :md agrees to take b;u:k loans that dedine in qual ity after the acquisition is execu ted In some other cases, the FDIC d(X's not take any of the low-quality loons hut , instead. provides the acqu iring institutio n with sufficient resources to charge off the nonpcrfomling IO:tns. Alternatively, a bank ('ould increase its 100..In ponfolio through acquisition of other banks. The :1C(luiring hank can limil its exposure to lowquality 100..Ins on Ihe acquired b:mk 's books. Often, the acquin.:d hank is rL,,<]uired to charge off troubled credits before the :u::quisition is executed. In Olhcr cases. the acquired hank cstablishes a collecting hank to hold the Iroubled cn."<.Iits The collecting hank is capita lized by the shareholders o f the acquired han k to isolate the cffects of the problem credits from the :Icquiring bank or ba nk holding company. of COUTSe. not all bank mergers can be characlcrizt:tl as one bank acquiring a nothe r. In , Fat 6X~. II Pottn sclleinlr IS pt'emtSi1d on rapK1 growtn ro generalll suHoBnl cash flows The SIX"<:ific method utilized to increase the loan portfolio (:ould h:l\'e an efft;."Ct on the reb rion· ship between loan growth and futu re 100.ln quality. loan growth could he gener.lted by increasing knding to existing customers or to new cu<;tomcl"S. Alternatively, the 10;.10 ponfolio could he increasc.."d Econo m ic Rt.'"Vtcw - Third Qua n c r 1992 10 cove< up rile lade 01 ~"""'" results Ponb lYomsed ro double investors' r11O;IrIe)' ., a shon peFlOd He then used lhe Iftflow 01 new deposl/S /0 Qrv6 ".,/1(1/ aweslDB the promised cJoubIiIIg 01 funds• ." /110 \thJB C)f/rtIC/tng subs/an/sal managemern fees PotvI covId keep the scheme go.ng so long liS the rspidgrowth 01 f!6W 1flve5tDBpt'CNidBd w/ficJan/cashfkJws to pay 011 the IIarber .WCS/OtS (Kaufmlln /986) 11 the GI!>C of a merger hctwcen equals. the loan quality of the t'Ombined bank will be the aver.Jge of the loan quality of the twO banks, wt!ighlCd hy their rdativc sizes. In this case, loan quality is less likely to ('hange substa mi:llly. The effect of internal growth on I(xin quality is the mo...t difficu lt to pr(:dicI If a bank were \0 re:.trict il:-;clf to l<Xtn growth from the growth of existing IX>rf'Ower relationships. it would he limiting ito; growth potential 10 Ihat of its oorrowers. lis diversity cou ld also he limited. Seek ing o ut new horrowcrs, however. has Ihe haz;lrds descrilx.--d ahove, such as ad verse selection. Altcrnativdy, intern:.ll lcY.Jn growth could result from in<;n.;ascd lending activity in the loan participation tnllrket A bank might be ,Ible to increase loans outstandi ng Without lowering ils undenvriting standards': Furthermore, the loan p:lrticip,ltion market could offcr :1 bank Ihe abil ity to diversify its loan portfolio "cross geogr.Jphic regions and across industries in a manner th:1I lowers ()\'cr.lll cr<.>dit risk. If, however. the loon panicipat ion market is driven by loans to finance a speculative huhhle, then usi ng the vehicle for loan growth could 1I:;ld 10 lower loan quality in tilt! future. Many of the:' highly le:'verag(.x\ tr::IIlS.1ctions of the 19HOs that are now in default or are being renegotialL-'(1 were finll nced by large pools of banks Measuring loan quali ty The ;ma lysis utilizes two st:lnd:lf(J measures of loan quality: the mtio of cha rge-offs to total loan.~ and the ratio of nonperfonning lo;ms to total loans. Thcse m(!;!SUfCS arc proxies for the actual pmbahi lity of a 10:.ln defaulting A cha rge-off is the amount of a loan that a bank determines is unlikely to be rcpaid and cou nts as a loss. Nonpe rforming loans arc defined as Irnrns Ih;1I are 90 days or more past due or have nonaccrual status. Two measures gauging d ifferent stages of rhos 1tTgumet'l1 IS basod on rhlI fIOf/O(1 thallhe elaSllCtry oIl1Je supply 01 k:Ians i<l tno patl.opa/lOflI'l'J8rl(C/ 's very rwgh and a large St7IOUfII 01 /cI/tTI$ can 00 added to lhe baIIk'S OOOI<s ...mou/ (educlllQ ,IS UI'>derwr'/IIl{J siandards 12 lo;m quality deterior:llion were used hecause any single me;!SllTC may be inadequate in determining loan quality. B:mks have some dis<.'felion to shift prohlem lo;!ns from the first stage to the second stage. In Ihe first 5t:lge of dcterior:1ting 10..1n qual ity, loans Ix.'come no nperforming-thc borrowers fa il to make timely payment of interest and principal If the 10:1(1 appears unlikely to be repaid in fu ll, Ihen in a ~ccond i>tage o f dctcrior::llion, the loan or :.I portion of the 10:\0 is chargt.'<i off A hank can lower i t~ nonpcrfonning loan r::ltio hy charging off more of its nonperfonlling loans. Consequently, both the ch:lrge-off r<lle ;md the nonperforrning loan ratio wcrc used to assess loan quality. These fin :lIlcial mlios, however, can be d istorted hy growth if there :Ire lagged rclationships lx:twecn financial va riables. As a result. the ratios aTe imperfect proxies for the actual probability of 1I loan defaulting . Loans are rarely cha rged off in their first year. It is far more likely for a lo:tn to ddault and he c harged o ff long afte r the loan was fi rst extended. Consequently. there is a lagged rciationship between the measure of [0:10 quality and tolal loans. 1l1l::sc loan Quality meas ures do not adjust for the lag in the rt:i:uionship Ix:twecn extending loans and 10..1ns defaulting Consider the chargeoff r.Jte, for example; it is the mtio of charged-off loans, which arc loans extended in previous years that are only now be ing recognized as a loss, to lota l curre nt loa ns, which include loans that were made only recently :lOd, therefore, are unlikely to havc def:lllltt.xI as yet. Essentially, the mte measures yesterday's Illistakes relative to tcxby's base. Consequently, growth in total loans can d istort this ratio. If, as stated ahove, leday's hase is growing, yestcrcti y's mistakes appellr sma ller in com p:l rison with the cmrcnt base 1.0an growth would lowcr the charge-off rate for as long as the growth could he ma intained, and the charge-off !':Ite would he lower than the actual probllbility o f defau lt. A numcn<''d l example can illuminate this point :.Ind is presented in Table I. Suppose Uank A starts with S 100 of loons and its growth rate is I percent per Ye".JT; the prohability of a loan los..;; is only 0.Ql. Assume that all loa ns have a three-year maturity and uncolk-ctible loans are charged off in rhe third year. In the case or Ba.nk A, its charge-off r.lte would lx:come stable al I percent, exactly L"qual to the probability of loan loss. Suppose I'c:<kral Reserve Bank or DallllS Table 1 Simulation of the Effect of Temporary Increases in loan Growth Rates on the Measured Charge-off Rate Bank A Period Loan s 1 2 3 100 101 102 102 102 102 102 102 102 102 102 102 102 102 , 5 6 7 8 9 10 11 12 13 14 Banke BankS 8ankO Charge - Charge· Charge· off off off Rate ""'" 1.00 100 110 121 132 14' 157 171 187 204 100 223 1.00 1.00 1.00 243 265 289 315 .98 99 1.00 1.00 100 1.00 Rate loa", .76 .76 100 110 121 132 14' .77 .77 .77 .77 .77 .77 .77 .77 .77 157 171 204 223 244 266 290 317 346 Rate .76 .76 .77 .77 .71 .70 .70 .77 .77 .77 .77 Charge· 011 Loans 100 110 121 132 14' 157 171 204 223 244 266 290 317 346 Rate .76 .76 .77 .77 .71 70 .70 153 .77 .77 .77 I ·percent growth 0I 103ns and con5tant probabl tv of defauh eQUal 10 01. BaM B conS-Ian! loan growth 01 10 pefr::ent ana eonSlanl po-obabolly 01 delau~ equal 10 0 1 Bank C onel,rne ,ncrease ,n growth raut from 10 perr::ent 10 20 pefcenl ,n P8f1od 8 and COtl$\anI probatllirty 01 detaul, equal to 01 8af111 0 one -bme fncrease In growttl rat e from 10 percenllO 20 pefcenl and one-t.me ,ncreas.e In probabll,tv 01 delauh from .01 to ""'" 02111 PerIOd 8 1I,11l1.. H,,,, idt"nl tullo Bank ,\ C:"I.l"t:pt il gm\'" ;11 ,I 10 lX'rccllt ,\ilnll:r1 1 ~1 1L' ; IIlL·n It-. dUlgL··off 1:IlV \\o(lld :-1;1hili/L·:ll 0.-- lX'n·L'nl. 1\;l!1k U ("; m Ill:lInt:lilllllh h)\\ ..:r t ll:lrgL·-ol"I 1~ IIL· ;1'; long :1 ... il Gin lllaint:lll1 llw 10 pL·t"l"elll ).tro\\·,1l r:l1t: "1"111:- ;lI1iL"l..: addn..·..;..;l'.... lllL· qllo.: ...lion of \\"IWlllLT IIle d d :lu ll 1: 110.: t·h:mgt· ... 111 fl· ... j)(JI) ... e 10 r.:q)id IO:ln gn m ·lll ,\ t"(lnlIXl ri ...(Jn (If 1\\ () Ill( )f o.: :-i mui:t lil)!)S ... Illl\\ ... llw di ... tinUl o tl 01 th ..: d ilh·~nl·e Sllppn.....: hOl h IUnk C and B.ul l. I) \·"1'k.:m·tlCI.::t tempo,:lry i,KfL\l"'\· in lllL' /-:1"1)\\[h 1~ l tl· ( Ifl(un ... from 10p...·ru·1\1 gro\\ III 10 20 j1l·rU·m :-:I1)W[11 III tht.: .... ighlh p.,:nod 1x:l"or\· ft'[llnlln:-: to :1 "'1l';ldy lO-pern'JlI grtl\\lh 1":111..' In th ..: C t",-· of Ii:m k C. a"HIIllI:' Ihe prllh:IIJ!l il)" 01 a loan d dallh ing rt'lllains <:on"'lanl at il 01. \\ IlIlt;' in lhl' (".I....l' o f Bank I). a"Sllllll· lilt" proh:thilil Y of dd;ll1 lt ri ......'" frolll 0 _0 1 to 001 fo r till" p.,:riod o llHgh ).:f0\\11l :lIld rL"ll1nb 10 00 1 ;Iftl'r Fxo ll tl m ic MCl·lcw_ Third Q uan t'r 199! lilt' hi!-lh !-IHm11l In II:rnk C\ C l:-t'. lllL" el\;lr!-l": ofr 1~!It' \\"iI1 1 t'll1po!~ lril~ f; ll llrolll 0.77 pt.'feenl 100-0 pLTu,'nl and lh..:n I\.'l u m 100 -..., IX·,T t·nl In Bank I)".~ ea",,:. lilt" dl:It").~ ...., oil I~llt· tit-dine..; inilially 11) 070 Ix·rn.-Ilt . as in till" l·:I .~ l" of Ibnk C, but llK·n it ri"t·s :-harply in lhl" tllird p..:riod :Iftel" lilt· growth to I ';j Ix·rc..:nl \\ hl'1l1h\· bA~t'd ..: ffects of ext .... nd· 1I1).t nt:dll 10 !"i ... k'l'l· horfO\\"t'rS are rt.":riil".vd_ l:k .'Clll .....· (If l l,i .; b gg.... d rdali(lIl~hip. :-l11)laint·d r.:lpld WO\\ III e l n 111.1 ... 1-; ch:IIl~"'s in t ll(.' probahililY 0 1 dd:1l11l h~ drh Ing l llL' dl..l rgl' oil" r.:11 ..· in llll' 0Pl)().~ile dir...·\·lion I'or ...·X:llllpk. mol"(.· r.:lpld growth (:ollld tim ...· ,hl' prohahilily 01 tld":ll1ll lip only a "'111:11 1 Ill'fl·..·nlag..· r<.:blin! 10 Ih .... rx:rn·nt:tg..: ilKI"Cao.;e in th .... t:lll· 01" growth A:. a rc"ult. lol.:ri dla rg .... -ofr~ \\ould n:-l' in ah:..olUlt." tnagnillldt.:. hUI durge orf~ rdal i\ ..: 10 lot:ri lo:rns would 1':111 Of n>UN.:. 1ll:11111:li nIllA I":lpid lo:m g rowt h " fore\'!::r is impossible. Evcnlu:tlly, some sll<x.:k (0 econo mic growlh limits 10:111 growth In Texas, for eX:lmple , these shocks were the decline in o il prices and the collapse of real esl:lle wilues. When loan growth r.ues f;I11 , the effects of growth on dmrge-off r.ltes arc rcvcrsed and magnified. A slowdown in loan growth causes the charge-off rate to rise temporarily, even thou~h the probability of default may he unchanged. The model As Ihe dependent ,'ariables. Ihe nonperfOnlling loan r.llio and the charge-off r:.ne were regressed on a series of indcpendem Wlriables th:n measure the effects of loan growth by me[hod of growth, b:lIlk financial char.:lcteri."lics. a nd business condilions. To capture the dynamic re1:ttionship belwet.'n loan quality, as measured by Iht! nonpc1fomling loan r.:llio and the charge-off rate, and loan grO\vth r,l[es. multiple lags of the loan growlh r.:1[es weft.' used in the regression [0 detcnnine the:: rel:nion-;hip between loan gro\.\1h and loan quality. 'Ihc estimation lIsed dat:l from Texas h:lIlks for 197(, through 19'Xl. Loan gro\\1h is separ.:ued into tlm:e G.IIegories: growth through FOIC-assiSled merg .... r, growth through unassisted merger, and intern:ll growth. Growth through FDIC-assisted merger of a fa iled hank is defined as the total lo:ms tr.lOsferL"l.~1 to the surviving bank as a percentage of the total loans at that bank at the cnd of the previous period Similarly, growth through lIn:l ~s i ~ted merger is defined as the total loans tr,msferred to tbe surviving bank as a percentagt! of Ihe total lo.ms at that bank in Ihe previous period. Internal growth i." measu red as the residual growth after growth through assisted and unassisted mergers is removed-that is. total looms in time pcri(xl I less loans acquired through assisted and unassisted mergers, stated as a percentage increa.~ .... ov.... r total 10;lns in lime period I - 1. , Measures 01 cconc:mIC cotId"IOnS al lhe CX1IJI'IIy level. inc/udrng couruy empk;1ymcnI ana gloss laxable sales 111 rt>c COtNl/y. were 1ested but wetadroppcd Irom the regresSlOOS lot lack 01 ssgmliClIfICC Tht: composition of the loan ponfo lio may also aIT..."Ct loan qU:l lity. Du ring the period unde r study, o il prices dropped ..;harply, and the comm.... rcial real est:lle 111:1rket was dev:lsf:Jted hy overhuilding :Ind high v:1C.mcy nlt(.'S. Const."'qllently, a b:mk that W:IS heavily expost."'<.l to energy or real est:lle Ix)rrow .... rs would likely have higher nonperforming loan r.:llios Of charge-off nues than a h:mk whose loan portfol io was bener diversified. To :K("()lInl for the effect of differell(:es in loan composition o n loan qU:l lity, the proportion of commercial and industrial loans to tOlal loans and the proporlion of ft:al estatt: loans to total loans were included. 1\ h:mk sca le vari:lble (Iogarilhm of total as.~cts) W:1S :\lso induded [0 C:l pture any effects of hank size, such as minimum .... mcient sc:I les of oper.:lIions Of important repllt:lIional effects. It is possihle that large hanks may I)C" :Ible to achie ve effi(knt Sf:ales of workOllt opcr.:lt ions that a re not kasibk for smaller h:lnks. As a result, large ba nks 111:IY kt.ocp non performing loans o n their hooks whil.... th .... y w(lrk Ollt rep:lymcnt schedules. Smallcr hanks may fin d il more cfficicnt to charge off the loss Conversely. la rgt! hanks arc more li kely to be raising funds in the money markets, and these mark .... ts :cppear to respond more favora bly whcn h:mks ch~lfge ofT Irouhk. d loans rJther than carry them as nonperforming asset..;. Therefore, large ha nks. if they have suffident reserves, may havc gre:lIt:r incentive to c harge o ff troubled loans to gain more favorJblc terms in the money ma rkets. Loan quality will alw be a function of the current .~tate of the et'onomy Business conditions :lrc intr<xluct:d into the nHxld hy including the gf()wth r,ltc ()f ·kx:!s nonagriCllltur.:Il employment in the n.:grcssions. \ Texas employment dar" are pllblished by the Texas Employment Commission. The struct\lre of the model is as fo llows. The dcpemknt v:lfiah les measuring loan quality- the nonperforming loan r.1t;O and thc cha rge-off rate- aft.' regre:-.."Cd on the following independent v:l riahles: GNO\V/HO (,"ROWifHl (;NO Win-12 GROWI7I3 Inlernal loan growth and three lagged values GNO-MNG Loan growth through ban k merger F..-deral Rcsen'e Rank of Dallas GRJ -/ltRG GR2-/ltRG GRJ-MRG and three lagged values GRa-FI. GRI-F/. GR2-F/. GRJ-FL toan growth through acquisition o f failed banks and three lagged values I ii log of total bank assets Business loa ns as a percentage of tot:11 loons Real estmc loans as a percentage of tot:11 loans R;llc of Texas nonagricultur.l l employment growth Total equity C;lpital as a percentage of 10t:1I :Issels CMLRAT RLRAT ElI1PGROW EQUflY A logit-type transformation was performed on the dependent variables because their values were limitc.-'d in the r::lnge of 0 to I • II is possible Ihal the negative relationship betw(.'Cn loan growth and loon qU:1Ii1y may not exisl for banks growing :11 relatively norma l mtes but only for r.lpidly growing b:~nk..;. High-growth banks were idemified and tcsled separ..lle1y from the rest of the sample to exami ne this hypotheSiS Banks with internal loan growth rates exceeding four times tbe growtb rate of Texas pc..."T'SOnal income were classified as high-growlh banks. Banks with internal loan growth rates less than four times the income nlte were cb ssificd as nonnaL ~ Simil:l rly, 10 measure the possible efTects of moral haZ:lrd on b'U1k bch:1vior, the sample of r".lpid-growth banks was split into high and low C;lpit:ll categories . A bank was classified as a highcapital bank if its equilY capital-to-asset ratio exceeded the ,lverage for its peer group. The three peer groups used wen: based on total asset size: banks with less than S 100 million in assets, banks with at least $ 100 million in assets but les... than 51 billion . and hanks with more than 51 billion in asscts.b 111e regr(."SSio ns were run witb annual data from the Reports of Condition and Income filed by Texas banks for 1976 through 1990. Texas personal income data wcrc ohtaint..'tl from the U.S. Bureau of Economic Analysis. The regressions using the nonperforming loan ratio as the depen);(:OflOnUc RC:'Yicw- Third Quanc r 1992 dent v:lriable wcre estimated for 1984 to 1990, thc period for which data were ava ilable. TIle chargeoff rate regressions were estimated with dala for the entire period . Regression results The empirical results do provide (..ovidencc that rapid loan growth will result in a dClcrioration of loan quality. As expected, internal loan growth worsened measured loan quality with a lag. These empirical results support the popular notion that rapid loan growth results in low-quality loan portfolioS that am lead to bank fail ure. All the regressions utili:dng nonperforming loan ratios and charge-off " Ites as Ihe dependent variables were statistically signifiC:lnt. The regression results for the nonperforming 10:10 r'dtio are presented in Table 2. The adjust(.'(1 Rl values indicate that even in the best-fining equation, less than 20 percent of the total variation is explained. Low Rl values, however, are common in regressions using cross-section data . The regressions for the charge-off mte are present(.'<.i in Table 3 and fit the data slightly better than the nonpcrformmg loan ratio regreSSions. • II the cleptHl(1enl variable IS X. lhefl the /oglllfanslcxmalK)(! 01 thaI va"able IS Ir>!XI(I X)} Th,s procedvre m(Jr)O. /(xllcally Iranslorms the values of X. constr81fled to be betwoon 0 8nd I. to range from negatlv8 10 POSlllve infmity • Tile relallOllsllip may nol be symmetrIC lor both loan growth and loan contraction. ancl some forffll.Jlatlons restncting tile ooservatlOfls to posillVe loan growtll WCfO cstimated Some versions 01 lhe model were eS~fTI8ted WIth observatK)(!s hmlted to POSItIve internal /oaIl growth Danks only The r~wllS were essentially the ssmo as the cst!mfltc lor the lull "'"'" • Exat1llfllflf1 tile maal flaZtJfcl hypotheSiS IS nollhe foevs of Ihs artICle It IS mportant to note that ~t because a bani( fIBs a Cap.laI ra/IO befow the peer f1'OUP averarJC. Ihe bank. IS notflflCilssarilyQOlfl{llOl1xhib1lmaalhazarci behaVlOf_ To hhy. a sample of banks opersrlllO W!/tIlillhf it any cap!lal WOCJIcI be needed It 15 po$$IbIe /hat a sampleof ssWtgs and.ban assocuwcns wouIcI alter a wHicIf!(l/ number 01 obscrvallons to sltJdy the ex~ maaillanJrcl behavXx mote motalhazarciproblfJrn " Table 2 Regression Results for Nonperforming Loan Ratio , 1984-90 High-Growth Banks' All Taxas Banks Tolal GROWTHO GROWTHI GROWTH2 GROWTH3 -.01766 . ,. -.00695 ••• -.00086 • .00006 GRO-MRG GR t·MRG GR2·MRG GR3-MRG .00092 .00155 .00342 . ,. .00101 .00421 ' .00090 .00288 - .00445 -.01383 .. , - .00695 •• • -.00059 -.00290 -.00233 -.00026 GRO-FL GR 1·FL GR2· FL GR3· FL - _00574 ... -.00251 •• • -.00072 .00040 Low·Equlty - .00723 ••• - .00360 • -.00238 - .00546 ••• - .00235 •• - .00044 .00043 -.02926 ••• -.00765 ••• -.00004 .00441 -.00159 .00264 - .00479 -.00 125 .00 131 .00154 .00095 .00262 -.00355 - .00627 - .02150·" - .00832 ••, .00007 - ,00284 .00045 .00415 00'58 -.00453 - .00686 CMLRAT RLRAT EMPGRQW Intercept .05992 · " .00865 ••• .00985 ••. 00513 -5.08019 •• . .09393 ... .(X:J186 .00278 - .05209 •• • - 5,52885 ••• .024 10 .00777' .00837·· - .05562 ••• -5.06423 ••• AdjUsted R ' Fstausllc Observations .1610 143.702 ••• 11 ,903 0625 10.479 ••• 2.133 5.750 •• , TA Normal-Growth Banks High-Equity 0801 601 00003 .13085 •• , - .00107 - ,00041 -.05061 ... -5.73915 '.' .Om4'" .00906 , •• .00896 ••• .02097 ••• -5.28745 ••• .0530 6.715 .,. 1,532 .1763 131.719 ••• 9,770 . Banks were cI&ss,fied as hogh -gfowth banks ,I lh8<f l ale oIl1l,..-nally geneo-aled loan growth e~ceed8d 10Uf ~fTle$ the growth rale 01 Te)(8S P8f$QOIII ,ncome • SiogM,canl allhe .10 level . •• SlQnllicanl al the ,05 level ••• Sign'licanl 91 the 01 level :\ .~ predil I<.:d , till" m iti;t1 <: lIl· ..·t .. 01 int"'l"nal grO\\t h Illl pnl \ cd I()an ( i li a li t ~· wht:n 1I 1t:;I~url'd I)~ the nllTl'll1 1l01l1X"rtorlll lllg lo:m r:1\ (0 :md the l·h:.rg,,·-otl r.lIl' The COI,.-Okit'1l1 on the \ ':l ri:lb k- , The movemenl •• ltlecharge-atf rale pteSf!(1red LS based 01" I/>e regt~' resuflS &!caliSe 01 me 1og,1 tlans/olma l/Ofl lhe coelflCoertlS ffllC3'tJ me qual'IBINe dlleclion 01 rhc effOCI Dr.Ac..l~ be IflIe£Oleled quanMallVf'/y 16 (;N()II ~n 10 i .. nq.:.Hh l· and .. ign iflc,nt in ..·\·... f y rq.: n.'-"~1()n for both th,,' l1onp",:r1< Irllllllg lo:tn ratio ;Ind till- d l:l r).:l·-o fi r.Lte Th..· i:tg,!.:l·d 1."11-...·("1-. o f loan gnm th . hO\\ l·\·CL lIllTea"l' th ..· d l .l rg..· otf r.He In till' ell:11):'" off r.ue rl'grc"!'olon 1\)1" :111 'J"..-:u-. h:1Ilk:-. 11ll' nx:lrk .... nt on CH() \\ 'TN3 j,.. .. ignifiGllli a nd po~i l l\"'. IIldic:ui nt-: I hat III l h l" G I ~l' th ... LIKlt ...d dTI.:n o f lo:ut j.tro\\I h w,." 10 r.11"l· till' lh:lfj.tl· on' 1:11,,-- 1\ 1I.·111por..ry incre;l ~: lIlllll' ).:nJ\\th r:'!l' o f 1o;ln ... 1X"j.!inn ing :11 !line I. will <: IU ....· til(" dl:lr<,..!..·on' r:il ..· to 1ll0\-t' in Ihe pa tll.·rn lkp llll1J III Fi).:urc I - Till' l"egr..·.... 'ol1 l'()t.'O'i .. ,..'I1I." ,ndiGII..· \h ..· .. ;tllll.: Ft:de r.d 'k~c n'e R:.nk of Uall3s Table 3 Regression Results for Loan Charge-off Rate, 1~90 High-Growth Banks' Normal-Growth Banks All ie_as Banks Tolal High-Equity Low-Equity GROWTHO GROWTH/ GROWTH2 GROWTH3 - .01860 ••• -. 00640 •• . .00017 .00013 •• -.00496 -•• - .00738 ••• - .00669 ••• - .00472 •• - .00004 -.00428 ••• - .00296 •• • -.00064 .00124 •• • GRO-MRG GR/·MRG GR2-MRG GR3·MRG .00252 ••• .00296 •• . .00275 •• 00012 .00474 ••• .00524 • .00138 -.01563 •• .00484 •• .00421 .00441 .00539 .00155 - .01540 • .00015 .00246 ••• .00230 .00012 -.01469 ••• -.00504 ••• ,00158 -.00125 -. 00251 • -.01233 - .01937 •• - .00495 •• -.00218 -.01198 -.01857 •• - .02375 •• • -.00644 ••• .00276 •• -.00062 - .06761 •• • .00038 .00019 -.04209 •• • -3.76497 ••• - .02123 -.00646 ••• -.00683 ••• - 05284 ••• -4.31454 ••• -.04370 - .00030 -.00539 • - .04641 ••• -4.07762 ••• -.01221 - .00891 ' " -.00794 ••• - .05271 ••• -4.37177 ••• -.04907 •• • .00075 -.00458 •• - .03067 •• • -3.93773 •• • .1837 182.432 ••• 12,902 .0883 16.634 ••• 2.123 .2274 199.285 ••• 10,779 GRO-FL GR/ -FL GR2-FL GR3·FL TA CMLRAT RLRAT EMPGROW Intercept Adjusted R 2 Fstatlstic Observabons , Banks wer. dass~led as Te las personal ,ncome hogh~.OW!h - ,00348 ••• -.00113 - .00064 •• .0995 ,1197 8.328 •• • 59' 10.663 ••• 1.529 - .03231 ••• -.0065 1 ••• .00142 ••• .00010 • banks Iithefr rale 01 rolernally gene.alad loan growth e lceeded tou r bmes the g.owth rate ot • SogOlI.canl at the 10 level •• Stgn,j,ca nl at the 05 level ••• Slgn'ficant &1 the at level P:III"'rll ()f illlplX ,\ ,,'In~ 'm (()Il(m "'d by dctt:rior.uion 111:(1 i... pr........·Ilk'd in [h~' ... illlul;u ion of thl' fiction.11 B,' llk ]) Tit ..· "'mpi r i"': ll 1"..· ... ult ... :li-;o ind ic tl ... Ih:tl :t "'U"'I;li ll ..·d m er..·:! ... o.: in tht' ~ro\\l h I:Hl' of Io.:nding cou ld 0",,':1\0.: Ill<." :'ppo.::u':tnn.· Ih :1\ lTl.'d it q ll :I 1i I~ l1:t ... itllprm"'d If Ih..· inl ... rn:,lloan gro\\lh ral ... ri~l'''' :m d r\:III;lIn ... al :t n ...·\\ lughl:"l" k·\d, 11ll" d l...·cl on 11K" (h:trg~:o(M ralc \\ tlllid ho.: Iht· slim of Ihl ' ..·t)(."lfidl·nl' ......Iirll:l lnllor 11K' tl11l'rn al growth 1.11..• \':,ri:th k :tnd II.' bggl'd \ .tllI ...•... Till.' hy po l hl"... b Ihal till' ... u m of l ill" co.,:nkil ·n h I.... l'qual to ZI;'I"O \\;t ... I ...,~ t l"d \\'ith :lll 1'~''' lI nm k R..,,'k w _ Th lnl Quancr 1992 1-"1 ..·... 1 :t nd rl;'jI;'Clt:d. ind iclIing t h:tI a ~kad y :-.Ial l · itKll:a ....... in I hl:" gro\\,t h 1: 1I1:.' 01' i nl l:.'n1:tI Il"nd ing \\ ()ltl d rl" .... 1I11 in a I()\'l"r 1l1l":t.... ul"...d l ll:t1'g•.:-t,1T r~l\l' T h..· p:III ...·rt1 of Ihl" lll()\'cnK'nl in th ..· dl: lr~"' -ofr 1':Ill' rl" ... uiti n,g frolll "u~ t :titll'd W'()\\lh \\oll id h..... l 11 lld l d il1"l-rl 'n! ,ban octltrrnl \\ ilh ''''lll pt ll:t ry g1"O\\ th 1\ '" ... 110\\ n in Flgw .., 1. Ih ..· cha rg"'-oIT r:1I1:.' \\ould f:ll l lx.-gll1T1ing :,1 lU ll..· I ;lI1d ro.:llla in helo w I ll\.' o rig1l1al t:ha r~t:-off mIl' lor a~ long :I ... Ih t: h lg h..... r WO\\ Ih r.lIe could hl" l1lainlai lK'(1 T h"'rt* i~ ~Irung I;'\'idcnct: that g ro\\"l h Ih ro ugh hank llwrgl"r IO\\ 't:rs a,... t.:t q ual it y. h:I......·d on IIll" 17 Figure 1 Figure 2 Effect on Charge-off Rate of Temporary Increase in Loan Growth Rate Effect on Charge-off Rate of Sustained Increase in Loan Growth Rate "'-'" ". effecl on Ihe charge-off r.lle The initi;ll and the lagged effect.s o f growth through b;mk mcrgcrs were signific;mt and positive, indicating higher charge-off mtes. The nonperforming lo;m r.Hio, however, was not initially affcxlcd by growth through merger. The lagged effLoct of growth through mergers rdiscd Ihe nonperfonlling 10:10 "lIio in the second yem after the merger. Growth through mergers docs not gcncrate the initial improvemem eITect ~usc the acquiring hank is acquiring loans extended by the acquired hank in previous years. As a result, there is no lag hetween when these loans arc placed on a bank's books and when the 10:111 might dcf:lult. Growth through the acquisition of failed bank..<; appears to be highly successful in improving ;IsseI quality only in the short run "11,(: initial and oneyear lagged effects of growth through fai!t..x\-hank :Kquisition were to lower l)()(h the nonrx:rfomling loan mtio and the chargc-off ratc. 111C longer lagg{..>(j t!ffecls were not significJ.ntly different from zero. Bank size appears to affect 10:111 quality differently, depending on wht:thcr quality is measured by the nonperforming loan r.llio or the charge-ofr rate. The positive and significant coefficients on the total assets variahle (7it) indicate that larger hanks had higher nonperforming 10:ln mtios, :lnd these hanks had significantly lower charge-off rJ.tcs. This result suggests that larger banks may not '8 be ;IS ;lggressive in charging off nonperfomling loans ;IS ;lrc small banks. One reason would Ix: that brge ha nks may havc a competitive advantage in working out troubll.."<1 credits and, cOIlSl."quently, carry stich loans <IS nonperfonning longer and charge off fewer of these loans. The dfe(.1 of Io:.m portfolio conccntrJ.tians on loan quality suggests that banks concentmted in husiness and re:1I eSlate lending were slow to c harge off nonpcrforrning loans. Troubled rca l c:state and business loans may be more likely to be successfully rescheduled and ultimately collected. If this is the case, these loa ns shou ld Ix: reponed as nonperfonning :md need not be charged o ff. Crcdit quality, whe n m(;:asurC<.1 by the chargeoff r.ltc, moved with the busincs.'I cycle, as expected. Declines in the growth rate:.: of Texas nonagricultural employment correi:ltl...xi with higher charge-off rates. In the nonpcrforming r::nio regression. however, the husiness-cycle v:lriable was nOI significa nt The regression resuits are:.: .lIso consistent with the premise th:lt mar.11 hazard contributes to asset quality prohlems. If moral ha 7~'lrd were prevalel1l , then hanks with low equity would be more likt:ly to have pUfSW..'d risky strmegies. The sampk of high-growth hanks was split into twO groups: hanks willl :Ibove-average equitY-fo-assetS r.lIio:-. and hanks with bclow-aver..lgc r,nios. Both high-equity and lo\v-equiry banks showed the Fedcr.ll Kcsen"t! H.ank of DaUas Table 4 Regression Results for Moral Hazard Test Using the Charge-off Rate, 1980--90 GROWTHO GROWTHt GROWTH2 GROWTH3 EQUITY GROWTHO )( GROWTH' )( GROWTH2 x GROWTH3 x EQUITY EQUITY EQUITY EQUITY - .019935 . ,. - .006667 •.• .000110 ,000813 ..• GRO·R GR t -R GR2·FL GR3-FL -.014355 ••• -.005046 ••• .002012 -.000019 - .176713 ••• .004849 ••• .000010 - .002458 .• -.000793 ·-' GRO·FL)( GRI·FL )( GR2-FL >c GR3-FL x .003305 , •• .003 181 .•• .002248 ' - .000068 CMLRA T RLRA T EMPGROW Intercept - .001337 - .000765 .001060 .003831 Adjus ted R 2 Fslalisllc Observations EQUITY EQUITY EQUITY EQUITY -.0565 14 ·-' -.000836 - .000930 -.042943 ·' · -3.745804 ••• TA GRO-MRG GR /-MRG GR2-MRG GR3·MRG GRO- MRG )( GRt ·MRG)( GR2-MRG )( GR3·MRG x EQUITY EQUITY EOUITY EOUITY .000086 -.000602 - .004156 - .003980 .1920 106.720 . ,. 12.902 • Slgn.lltanl al the 10 level •• Sign,f,cant at the OS leYet ••• Slglllhcant al lhe Ot leYel NOTE. EQUITY . 1 tor above·average equity banks and 0 tor below average eqUIty banlls ...;ut ll ' Iil lli.11 dl"I;'('\ or impro\\'l1lt;m i n 11K> eh:U·).!L'T Ill' c h. l r~\· o i l' r:II L':1I IhL" IO\\ -I.'qUlh · 11,1111, ... rll"',,' w ith a 1.tg ".. nell ..\I the h igh eqlli t~ h,IIl " .... ho\\ L' \ 1.:1"- IIlL"re \\ ;1'" n!f ... i,l!llific;lnl d "f..'<1 "lr r:11..· Ih;11 r: II"''''(\ I h.., chargl' orr I~ lI l' \11 :Idd ilion:il Il ·...l o r l hL" I1H )I~ ! 1 haz:lrd ilypOl lw... i .... 11 ...0 ... l1lJ\\" ... 1;' \ idl 'I1U' 0 1 l h i... Ix·had o r A h in:!r)' \ ;lri:lh \c \\ a... dt:fil1l·d ;l '" l 'q u,1I 1O I fo r :11->0 \'1;, l\"' I~ I ~l' "'qu il }, Po licy impl icatio n s a nd conclus ions h:lt11- ... .md () fo r I ill' hd o"'-;!Vl'r:I).!l· l'q l1l1 ~ h~lllk!'> for 11ll' tou l !'>.ullpk In Iht.:' nL"\\' ·w..·. . . . u Ill. 11K> dqx'mknt \ .lIuhlL'- lh...· (:h;lrgl'---\ ,IT I~IIL~\\ .1'" rl..·gl"l· ....-.c.'d ag,lIIhl ttw lIldqx:ndl'll[ \ , l ri~I hk'", I rOIll [h...: pr..·\ [( IU'" rq..:r"·"l( Ilh :Ind Ihl" pHlI.luct (II tIll' hlll;l!"I \.trI;lhll" II I[h 111L' nnTl"nI and bg.~I..1. i \ ~lhlL'''' 0 1 till.' gro\\ til 1:11 ..· \ ,Iri:thk· ... Till ' rl· ... IIII'- 0 1 thi ... 1..'' ' l ima1l011 ;11'..· p,....·....... nt ..·d in T;,hk-... 1 ,ltld 'i. T h .., initial d k ..·1 ""gllifk:Hltl} IO\\l'rl.."(i l llt' I".. Im \ ·~.:qlljt ) ban k ... Al high-,,'q u it y IXUlk .., 11ll" lo ngest 1:1,).:).:o.:d d)','c[ \\ ;1.... . n.... i~no llc;l nt T h .... rl..·"ult furl h.... r ... 11(11"01'1'- IhL' rno.:d h M .,l rd h ypot h ..·... I... If a J).Ink ha';1 1.Irg ..· alllou nt of il'- o w n t'q ll i t ~ L" :>'po!'>l'd to rbl... il i ... c l r...-ful not 10 10"'.... 1' it;. crl·( lIt " tand:l,.d ,,_ L"1"l: 1l du ring p .... r iod ... of " Iro n,).: g1"O\\ ·th l h.l rgl'oll r.11"' ;l1 hoth tlw h igh-I.."(llIi1r ban k!'> :Uld l ilt' I(f\\·...'qlll t ~ h;mk, TIlt.' 1.1).!j.!,,·d d k(l, ill l\\ l ·\l·r. ... I.I.':ll.hl.l m l\ lll(T(';I"l"(lltll" l l ur).:~· · ( ,t f I:I[l'! or 11ll" f ...... ' ,.(., .... Ik"il'w - Third (J,,:,rll' r I ')')! T h..· .... \'id ..'nn · InUll 'I'ex:!!'> b:ln k ... p rL·" ....nt .... d hcr.., in<lieuc ... I h,lt :1 "1 ,lll ... tiu lly .,ign ilk:1I1t rda li( ltl ... h lp .."I"'I ... I)I;I\\cl..'l1 I, )an gnl\\ [11 :l nd 10:ln l h:l rJ.!c-off r.1I .." ,Ifl..'r ,I b).: T he!'>e "'lIIpnicd r..' ...u hs ,If..., in agr..·(.:n ll'nt II II h ' IX'l'ihl' ,,:x:lIl1pk'!'> (If r..pid ly .).:ro\\ tnt-: h:lIlk ... tll:lt ,,'xlx'nl'nn'd dl"di nl"!'> i n loa n q ualll } .Ind 1..·\l·n tIJ all} f:ll k-d . E\'t:n aff"'r :dlo\\';IIlCl._· for h ll ... inL''''!'> q d ..· d r...·l 1" ;tnd h:ml- fi n:IIlO:11 ... tnll'tllrt". the "'y!'>Il'IIU liL' rd:uion,~ h i p hl·l \\l"\.·n 10:111 ,!.,!["(l\\ th ;! [ld (k IL'I·jOr.1I 111).: loan q U :l li t ~ hdd :ummg T""~I' h;1l1k ... dlld rl.).: Illl' 1<)1«)... 19 Table 5 Effect of Loan Growth on Charge-off Rates, 19~90 High-Equity Banks' low-Equity Banks Period 1 Period 2 n.s. PerIOd 3 Penod 4 n.s. • The ef1ect o! loan growlh Of\ hIgn-equ,ty baro.s is det8fm>r1oEld by addll"\O !he ooellicient from the GROWTH vanablfl and the coefhcient nom the cross prodUC1 0( GROWTH and EOUITY An F zero .,. s.gnolicant at \heOt level. n.s.--Not s,gmflcant tesl is used 10 del"fRne i! the sum IS s'On,licantty d<lIerer11lrom 01 lUU!.......·, it would Ix· :.11 o,o.:rgl·n o.: l~d i z:l1ion to ...I:,to.: thai .'IlY inno.:;lo,(.· in ti ll· loan ).:rowl h roUt· will k:,d 10 highl'J" dl:'J").:l·-ofi .:1 1...·... 1.0:10 wowth duml).: ;111 ...•.... onoillic .... xp:.n .. 'u'l i .. 10 Ix' O':xlx·,·,....d :I ... II )all d""r1t:tnd nK r ...·:,o,(.'", Funll ...·n1ll)rt·. tht' t·\ido.:rwo.: II1d i<..~ ' h::." th,lt tlli ... rd.ltion ... hip 1ll;1~ not hold for h:,n k, ,,·itll .lbo\O':-:I\ ...·r..).: ...· o.:qwty-a......o.:t r.lt il':-' ·1·IH.:n.:fi)r...·.:I ..... ta t...·d .II)()\ ...·. in ... r....;!'-t;'s in lo:m Wt)\\ 111 I:1Ie ... ;In:: o nl y .1 "ign;1 1 III' IXbsihk d . .·di n ...·... in 10;111 <lu.Li it }. and :-O Ut h dedinc ... will not n...'("...':-.....an ly ()(."/: Uf In 0.:, ..... ,: c , .....· The r....bl'tm ..h ip 1"11..'(\, ...·...·11 ).:1"()\\l h :,nd qual it) plac...." an :,d d il ,on;1 1 hurd...·n on h:lI1 k otn,o.:r:-. :mel d,rL·t"!or.. to l1I.m:L~e ).:f(I\\llt l. t!·...·lull~ T he u .. u;iI nlL"a.. lll\.· ... 0 1 10.111 q U :l1it~ ;0·...· d ,.. IOtwd \\·hen ).:ro\\·lh r:ll ...·.. charlHI:: .\I.II1 :lgt·r.. :tIld din.~nors n ...·l'd to ;ldj'bl for lhe."",: di... to!1ioTl'i and ",'-"plor...: new 1ll ...'l hod ... to llIeasure ;lnd l"O'111"01 risk . FurlherIllore. d"'·I<..·nnini ng: 1111:: SOlll·(·l' 01 thl' loan g rowth i......... pt."...-i:t1ly ll11pnrtanl in :1" .............. TIl,l-: ri .. k . A ).:rtIWing ....nmom}".;' s p~clll:lIi\L· huhhk-. ;I .. hift in 1ll;lrk .... t ... h;I l"L·. or:\ pt:rpt'\I:IIt1l1l of fraud Gill all gen ...'I':.II .... loan growth. 1)\11 I h.... l"L·.. u lts ;'r~ quill' dilrL'rl'nt fm:Il1y. the rt.''o{lurle ... dL·\ot .... d to markl'l in).: .lIlt! n ...·d ,1 aelmlm ... tr.Llion " ...·...·d 10 Ix' Gu dully h;l lann·d to pn,:\\.: nt eH'n ).:()(xllo.lIl .. from b....l·om in).: tro uhk-d :I ..... t:'t ... n""C HI:-.t! the prt:iimin;II)' l'vido.:m:e suggests Ih:1I lo:m /--!rowlh b;, deto.:rmll1ant of 10;111 q u ality, hank l'x;ul1inL'r.- could U.'>C thi.. 1Illilrma tion to Ix' m or...' dl"t,'\:lh L' in Ihe L'X:lInina\LOn pnx-....:-..... Gn>,,·,h 2. nI;L} Ix' onl' f:,...·lur ;I 'llollg .....·\ ...·t:,[ [0 t'olbkk·r wlt ....n .,..:hl'duli n).: tile fl"L"<ILll'nq ' ot .... -.:,nmn:lt ion..... Fu,1lwr1I10rt.'. j.!ro\\ll1m:t}' 1)(," :1 rl·d llig th:1I indic IIL· ... \\ hidl ;In::I,, of:1 h:ll1k ·., 1)()rlfollo :If" lllo:-o1 i n IWl·d of ~·\;lI l1 i n:lI,on for l r ...·dl1 tjlultl'· i ...,ut:' .. Th .... difft:'r...nt approadK'" to gl::nt:r:.lt ing lo .1n g l"l"\111 I)ad diffo.:r...·nt ...-I"lnl .. till It);ln qtlalil}" A... ",h()\\ \) :llx)'·t:. ex p" nd i rl).: IIIL' I()atl Ix)n folit) Ihroug h inn...;t ......·d 1....l1d ll1).: 10 llo.:\\" or t::xi"ling lll .. [OtH .... " to::nd .. 10 unpft" "" lhe dtargc-olf roll ...· in ilb 1ly. hut 1.:\ .... nlu:t1ly it h.I" :' nt:j.pt i,·c ...-Ikel ( ,tu\\t h throuXh IhL' :'C<jlli"ll ion of f; l iled h:lIlk .. \\ilh FDIC a."l-.l;II1(""" 1...·..Il[... (0 imp..mL·[o:tn qU:l lity. Illo.:;' ... ur...·d by ...·,IIll"r I1Olll x-rf() nllin~ loan rat '0" o r ch:,rg",'-off 1:11 ....... GI"IJ\\ III Ih rou).:h IlIcrgo.:r.- \\·ith (llllL·r h:l n ks ICJ\\ c rs 1\);111 ( lu:, l it y \\ltclllllo.:a." l lrL"d hy 11lL' L"ltargl::-off l~'1L". hu( 'h dkct o n (Ill· 110npL"rfol'llting ratio i" 1.. -." , ~· ......I:lin 11' ;1 b:lll k wishL''' to grow :!Ild 10 im provL' 10:111 quality. ~rowl h I hrough tlto:! ;Jcqubillon of I:,ikd ha nk.-.. :' ppL';lr.'i to Ix ' Mllk'rinr to gn)\\ l h lhrough 'lIl::rg ....r Of lUll"l'. (hi-.. rt'su lt i .. bawd on "l"eX:h hank ing dal :, fllr :1 p...·riud of r.lJ)Ld b;l llk J.:'"O\\ til follow",'d b y IlUIllL'rou .. bank bi lt,fo.: .. T ilc call ....... o f thi~ dllTo.:rl'lKL' l""II.:t\\ ...·.... 11 h:tnk Ill....rg ...·.. :tnd failL·d ha nk a<<[ui-..i[ion b likdy to Ix: [ho.: ;,.."i."t:UlC... g in·n h } lh .... FD IC to thc a~·qui r....r o f :, f:tik d IXlilk T}'PIClliy. th .... FOIC is lihcr. tI in r...·lIltwing low-qua lil y " ........'" fro m t he Ixx)k!>. o f f"iled b:lIlks or i n .•liowi n).: tiK' acq uiring h:lIlk [0 rdum low-quality a" .....'I" 10 ,II ...· FDIC :Iftc r th .... Fede ra l Rese rve Ha nk of Da Uas acquisition, If hankers are averse to risk, the credit quality certainty provided by the FDIC would tx· considered highly valuable. l1lcsc J"eSlllt.. suggest that there may he a bias tow;ud banking <,.'on-.olicbtion to take place through the acquisition of failt..'(/ banks, rather than through mergers of solvent Ixmks. Even after an acquiring bank has dt:cidt.'(/ on an acquisition target, it may delay the acquisition if, in its assessment, the target bank is likely 10 fail and CJ.n he acquired with the FDIC removing th~ troubled loons from the current loan pol1folio. The acquiring bank will trade 01T the benefit., of current acquisition with the henefit of greater cn..'(/it qua lity ccrtainty in the future with an FDIC assistanct! package. Of course, the acquiring bank also takes the risk of poSSibl y not submitting the winning bid to the FDI C. Economk: RI."Vlew - Th.InI Quarter 1992 Such a bias could s low the rate o f m uchneeded consolidation in the ban ki ng industry. The U.S. banking industry needs banking consolidalion, because it offers onc of the best approaches to inc reas ing the diversity of bank portfolios a nd increasing the efficiency in the p rovis ion of banking services (Clai r, Tucker, and Siems 199t) It is possible that the rate o f consolidation may be s lowed by the rate at w hich the FDI C can close fai led ba nks. If FDIC resolution procedures for failed ba nks are slowing the rate of consolidation, these procedures need to be reexa mined . The nation's imereSls a re unlikely 10 be served by drawing O UI the process o r consolid ation 21 References Clair, Robert '1'. , Paula K. Tucker, and Thomas F. Siems (991), MRcmoving the Remaining Barriers to Interstate Banking. ~ Bmlkers Maga+ zine 174 (January/February): 11-17. Kaufman . George G . (986). "Banking Risk in Historical Perspcctive,M FecierJ.! Reserve Bank or Chicago Staff Memoranda, no. SM-86-3 (Ch icago). Ely, Bert (990), M Wherc Did All the Money Go?~ (Memorandum prepared at Ely & Company, Inc., Alexandria, Va. , July 12). Shiller. Robert J (989), Market Volatility (Cambridge. Mass. : MIT Press). Kane, Edward J. (985), The Gatben·ng CriSis in Federal Deposillnsurance (Cambridge. Mass.: MIT Press). &iglitz, Joseph E. (990), MSymposium on Bubbles;' jOllmal of Economic Perspectives 4 (Spring); 13- 18 federal Reserve Bank of Dallas John K. HUll Visiting Professor Arizona Stale UrwefSl!y and Research Associate Federal Reserve Bank 01 Dallas When Will the United States Grow Out of Its Foreign Debt? O nt.: of tht.: most provocllive devt.:Iopmcllls in thl.: U.S. n'onomy durin}: the I~HO.~ was the !":.lpid in<.."n:a~..: in nl.:t fOJ"t'i}:n daim~ on U.S. <I$.~ds. wilh irs I.:ount..:rpan in :1 lar}:t· donlt'~til' trade ddieit T o .~() r11C oh:-.ervt·r.~. tIlt: heightened pan: of fordgn acqlli.~ition of U.S. assets wa~ (."Iear (:'\'idence of an impro\'ed i nvl.:stmcnt (."lirl1:l1c and so should he rq.:arded a~ :t ~lgn of stfl.:nl-tlh To othl:l"". howe\·cr. the forell-tn C".lpital inilow!,> were the re:-.uh of a hro;ld-hased consumptil'n hinge By ur..l\\"in~ do\\ n wc;t lth to support pre~nt spending Ic\'d~. U.S. n:.~idl: nl 'i were I.:ompromisin}: their fUhm.: living st:mda rds In an :lnil..·It;.' in 11K' Scptt!mher 19H9 issue of J:cOIlOmic }({'I'iell '. I :lrguf..·d that :1 sl!h.~t;mt ia l portion of the forei}:n ('apit:11 mnows could I>t! expl:tincd hy C.S demogmphics. During the 19HOs. the hahy IX)()1ll ~l·nL'r..ltion crl::ttl:d large invcstment dl:lll;tn d~ , yet on'..:red littk' saving to fin;tncc them This beh:lvior was nonna!. given the age of the I.:ohorl. howl'\'cr, and so tht! result ing foreiHn carita! inflows held liltk' siHnific;uKt: for future US living st:lIltl:irds, one W;\y or tht: o(ht:l". As IlH:mhers of thl' hahy booll1 aged, saving would ri se. dOl11t's(ic il1\'t..~t!llcnt would drop, and thl: Unit l!d Statl:,~ would ,~witch from bcing :10 lillrorh::r 10 a net exporter of Glpit:ll l\ly calculations showed th;lt projL'(,:ted shifb in the age di~trilllltion of I ' S hOUM.'hokb \'-'ere significant t'nough to raise net c~ lpit:d outnow~ to 3 percent of t-WY.»S n;lIion;d pnxiuct (G'lP) hy the re:lf 2010 A prindp:11 a,,,sulllption in my earlier analpis was thai ri~ing U.s. clpi tal {)utnow.~ could llt;., :Ihsorllt;.·d by the rl'~t of til t' world without a dL'(,:line in interl·,~t r.lle,~ In this artit'lI:. 1 consi(kr tht, rt'a!'oOn:lhlent's,~ of this a~~umption :md reEcon omic K.,\,icw _ Third QU:loMCr 199Z I;!valu:lle the accur..ICY of my l'arlit!r projections. First, 1 look at thl: other major industrialized counlries to sec if their demographics would support a rapid turn:lrollnd in the U,S I.::lpital account. The rL'sults are decidcdly Ilegative. Although the U,S. population will age significantly o\'('r the nt!xt sC"er.t1 decades, so will the popu lations of other m:I;<>r trading nations. 111is coincidencc m a~ing ,'>Crves to postpone the dale of impro\'el11t!nt in tht: U.S. fort!ign invt!stmt!nt position A silllul;ltion of patterns of C"".lpital flow bast!d 011 dcmogmphil.: conditions in thl..· United States, J:lp:m, Genn:IIlY, and the United Kingdom suggt:.~t ~ that the U,S could remain a net imponer of C".lpit;tl throughout the 1990s :lOd into the carly p:1rt of the next century. Thi .. analysis prob:lbly represents an extreme among po.~sihl(' olltcomt!s l>inl.:e other factors afft,,(.'tillg tht! world Glpita1 markt!t over till' next few dl..'"(.:ade,~ :II'L' likdy to su pport m{her than deprt:s.~ interest rates I belicve twO to IX' espeCially imp{Jn:l!1l: (J) a more c()mplete intt!gr:ltion of den'loping countries into tile world capital markl:t and (2) the transform:nion of centr"lIy planned ct'onomies into m:lrket economit:s. The Unitt:d States i~ ;1 young n:l!ion hy the st;lIldards or the major industrbliz(.'(1 countries, but it is old 1hs alll(;/e lias oenefltad from COI"'l'OOflIs and advice gwen Oy SlepflCfl P A Brown and Evan F Koat'IIg lowe special IflasVcS /0 Franl<bn D &1rger for computa/JOllal aSSIStance , Johrr K HI/IIS a Iotmer setIIOf ~sr and policy advisoI at rho federal Resave BaM 01 Datlas rdative to the iI...'ss-(kvdopc.:d world, If. Ihrou~h internal refonns, (:ollntric.'S such :1.<; Mexico and Argentina can &:Iin broader participation in the world capital m;lrkel. their demographics will lead them to draw capital from the United Slates ;Ind Olher dc\'elopt. . d (:ounlries. A second factor th:1I may s ignifka ntly raise world im'cstme nl dem:lnd over lhe next few decades is Ihe economic l ibcr::lli:t~tion of Eastern Europe and the former Soviet Union. Bccall ,~e of technological isol:llion and distort<.-'{I incentive structures, a huge fraction of the Glpital st(X'k in these coulllrit:s is olltmoded and will have to be modernized or repl:tced The effects could he dramatic. In a ,~il11u1ated reconstruction of Eastern Eu rope, where the domestic capital srock is effectively doubled over the next ten years, I find that u.s. capital flows rise from -I pern:n! of GNP at the end of Ihe 1980s 10 I percent of GNP hy the end of the century. ·111e consequences of a rccapitali),..:Ilion of the fanner Soviet Union c.:ould he far greater. After weighing the:.e ahern:Uh'e considt,:r.llions, 1 remain in gener::l1 agreement with my earlier conclusion: with the aging of the baby boom gener.Jtion , the United St:ltes is likely to become a major capil:11 cxponer by the e nd of this decade and throughout Ihe early p:lrt of the next century. This course of events is nOI a given. however ind<'"'ed , it is incompatihle with Ihl.' economic envi ronment of the 19BOs, where international capital flows were confined largdy to • The dora (Of thiS ellicle reler 10 Wesl Germany I:Jefore unlficllllOfl With Eesr Gcrmeny , rnrCffJS/ingly. the simulations indICate thaI us capllat In· flows should have been as large dunng the 1910s as they were during the 1980s OfficlBleSllf1l8les. on Ihco/hef hand. date the decllncin U S net for6lgflasselS /0 /tIcear/y 1980s ThIs dispwlly between rile smulated and mcaWfoo SCfIeS 8dds II new perspat;tIVC to /h(J tH:/tJale on the /YIg1fl eX U S fOf6I(YIltldebtcdncss rrsdll/OtlBlSl'l8/ySls has emp/1aSJZ9(j lheemCfJ}cflCeoi fsctOfSdutlfll) /tic /960s, such as the U S federal OVdQet dellCll. /hal drew fotfJt9f1 CBpltll1 inro the lklJled Stales It maybcequsl/y important, however. fOlook for a CessallOfl 01 facrors thaI had resrralflCd C/IPllal.o'l/Jows dlJrmg /fJ8 19~ Most III"lpOrl8nlin ttusregardmaybe the dismantilfll) 01 csptlal COtltroiS by Japan and Of/lef map counUIeS major Organization of Economic Cooperation and De"L·lop11lt:nt (OECD) counlric.'s. But the capilal m:lrkt:1 of tile fUllln::: is likdy to contain many new players. c:'>flC'd:llly :1 nlltllocr of developing and newly liher::llizt:.xl countries. ·1111.:' new participants will Ix: nL"! Ix)m)wers of <.-:Ipital :md so will support the turnaround in Ihe U.S. clpital account th•• t is called for hy the aging of thl.! U.S. population. Demographics a nd capital flows within OECD countries A limi\:ltion of the analY1>is in my earlier paper is that the effects of U S dcmogr.lphics on U.S. capital outflows werc eval uated in a v:ICUlIm, without referl'ntl' to demogra phiC condilions in OIher tnlding cOllntrh:s. In this section, J look ,<;imllltanl.!()u ,~ly :11 the demography of fo ur major industrialized ('()untnes: the United States, j;Jp;Jn, GL·nn:my,~ and the United Kingdom, These arc :lmong thl.! lar~est of the developed cou ntries, and their demogr.lphk' characteristics are varied e nough to I'll' n..·prtst:.·ntalivt:: of all OECn countries The :maIY1>is here i:. ha:>(.-'{I on numerical solution:. of an over1:lpping gcner::ltions model :.illlilar 10 the one I uS\...'(1 in my e:lrlicr paper 111e lll(xlcl is bril'fly descril){.xl in the hox litled 'The Simulation M(xlt:.'1. The simul:tlions cvalU:lle the effect of compar::nivc demographics on the nel external as.<.;tt position of each co untry for each year from 1970 to 2010. Oernogr.tphic differences highlighted in the mcxlcl relate to hislorical variations in tht: size of sucCt.'SSive binh cohons The analysis ignores :Iny v:lriation in life expectancy or patterns of hOll.';ehold form:ll ion. The n:su!ts for the decade of Ihe 1980s arc very ,~ imilar to those r foun d in my earlier work. When delllogmphic condit ions in the four countries are tonsidercd together, Ihe United States remains a net e.lpil:!l imponer. with a current account deficit aver::Jging 1 perccnt of GN P each year througholLl the decade. The dominant capital-exporting country is j ap:m, with annual outflows avcr.lging 3 percent of its GNP. The United SI:lles iS :I nel recipient of foreign (;:l pilal not beeilise ils savings r.llC is low hy intern:ttional standards, but beC.lUse it.. investment r.lte is rcl:llively high. The high rate of dO/llI.!:>tic investment over Ihis period reflects the entry of the baby boom gener.llion inlO the U.s. work force 1 H Federal Reserve 8ank o r Dallas The Simulation Model The model is designed not to replicate history or to forecast. but to evaluate the partial effect of demographic conditions on world capital flows. Households have identi· cal preferences for consumption over time and identical life-cycle patterns of labor sup· ply. Countries produce a sing le good using a common technology . Simulated movements in the external asset position of a country are entirely the result of relative shifts in popula· tion age mix . Wealth accumulation . Households are formed by two adults of age 21 . Each member has a fixed and known life expectancy. Households accumulate wealth according to the lifecycle theory. Each maximizes a lifetime utility function containing two parameters: an elasticity of intertemporal substitution and a pure rate of time preference. Following recent literature , I set the elasticity of substitution at a low value . The utility function also contains periodic weights reflecting family needs. These weights are defined by combining age·specific consumption weights with an assumed life·cycle pattern of family Size and age com· position. Households begin their lives with no wealth . and they leave no bequests. They borrow and lend at a single rate of interest on the basis of their current and future labor income. Household labor supply is exogenous but is defined to reflect age-related variations in labor force participation and worker productivity. Figure A shows an optimal wealth profile for a given wage and interest rate. The profile has the traditional hump shape , reflect· ing a pattern of accumulation during the work· ing years followed by a reduction in wealth during retirement. The principal limitation of Economic Review_Third Qu:u.,c r 1992 Figure A life-Cycle Profiles of Household Wealth and Required Capital . . ....... REqwIOd CIlf"UlI ....• ............ .... ..-........ .. -., ......... \ \ ,....... \ i " " " Ag. ., ! " NOTE · Wiltl iii world caPttiil' mar1<ef. reliiltove demogfllPhics det&ff!'\1f18 the ,nle<fWll tQOii1l investmef1t pMlbOn 01 iii counbY Young countries become neI debtors bBciiIuse the CiiIpItal lequ.led 10 support \he,1 wont 1o/Cl!S e~ceed:r.1tIe aCOJrnuliillec:l weiil~h 01 me.. reslderlts. Corwerselr . old countlleS become creditors 10 lhe lest 01 \he wofld the life-cycle model is that it overstates the rate at which households draw down their wealth late in life . For some countries , the share of the elderly in the domestic population changes significantly over the period of our analysis. As I will note later, however, the direction of the bias is clear, and it reinforces the conclusions ot the analysis. Capital formation . Each cou ntry produces a single. nondepreciating good using labor and the good itself (capital). There are no adjustment costs in capital formation. The capital stock in a country depends on its labor supply and current lactor prices. (Continued on the next page) " The Simulation Model-Continued All types of labor are perfect substitutes, but the efficiency of an individual's labor varies with age . The assumed eHects of age on male productivity are based on studies of age-earnings profiles of U.S. men with college experience. Earnings for female workers are assumed to be independent of age and 1.3 times the earnings of an entrylevel male worker. Each household generales a demand for capital that is proportional to its labor supply. Figure A shows the relationship between age and required capital for a given wage and interest rate. The shape 01 the profile during the first half of the life cycle reflects gains in the productivity of the male worker and changes in the rate of female labor force participation associated with child rearing . Effective household labor supply peaks when adults are in their early forties. After that, labor supply begins to declineslowly at first. tracking the decline in worker productivity , and then more rapidly as labor force participation falls . Equilibrium . The real interest rate adjusts to ensure that aggregate wealth at the beginning of a year is just sufficient to finance aggregate capital requirements for that year. The net foreign asset pOSition of a country is determined by the relative age mix of its population. Individual household wealth, W, depends on age, a, and the interest rate, r, but not on country of origin. The implied capital requirement of a household, k, is also inde- 26 pendent of its country of origin , varying only with age and the rate of interest. In equilibrium , therefore, net foreign assets per household in a given country can be written as NFA = L1p(a) - p ' (a))[w(a,r) - k(a,r)). • where p(a) is the fraction of the country's household population of age a andp'(a) is the corresponding fraction for the world. Differences in age mix provide the only basis for international exchange. The net external asset position of an individual household rises monotonically with age. Thus, countries with young populations become net international debtors. TheIr net foreign asset positions increase as they age relative to the rest of the world. Demographic data. The model requires information on the number of households living in each country during the period 1970-2010. To measure the households formed in a given country in year t, I divide by 2 the number of individuals who were of age 37 (the median age of the statistical age bracket 35-39) and residing in the country during year (t+ 16). Individuals are counted in their late thirties as a crude adjustment for immigration. Population projections are drawn from official sources. Because the period of analysis ends with the year 2010, relevant birth rates are known, leaving immigration as the major source of uncertainty in the projections, h'd el'll l ttcsc r n' H;IIlk of Dall",,, Table 1 Simulated Rates of U.S. Saving, lnvestment, and Capital Outflow, 1990-2009 Ave rage of An nual Rates (percent) Macroec onomi c Aggregate ,....... 1990-94 1995-99 2000-04 3.9 44 (3.7) SA '.0 (3.7) (3.5) Constant World Interest Rat e' Saving/GNP (3.9) Investment/GNP Capltat Out1lowfGNP 3.9 3.5 30 (2.5) ( 1.7) (. 9) 20 (.2) 0 (1.4) .9 (2.0) 24 (2.8) (3.3) 4.0 Declining World Interest Rate" Saving/GNP Investment/GNP Capital Ou t1lowIGNP 3.9 43 5.3 58 (3.9) (3,6) (3.6) (3.3) 5.3 55 5." 5.3 (3.9) (3. 6) (3.6) (3 ,3) -1 .2 (0) (0) 5 (0) -1 .4 (0) -. NOTE Fogures ,n p;lIentheses ilIe macro aggregates for a collectIVe g roup COOlSISMg 01 the UM ed States, Japan. the former West o.rmany. and the LInII9d Kingdom 'Interest rille held constant at ,ts marl<.et·cteil<ll"lQ vak.le In 1989 "Interest r,lte iId)lIsted eac:n yeill so that capilal liows among the lour mapr countrl8S nel to Ze<O Pr(lj ...·~·tt..-d C:lpil:\I 110w" for till" lle.\1 t\\O decllk'.... dlllo..·l gro..·;lIl}". (kpClldill).! on \\ helller int~·r· l·.~t r~ ltl· ... :11"\.' :1."Mlilled ("OIl.~I:l!lt or :lre :\dlll~t l:d lIntil Ih)\\, allHlllg Ille fOllt" m~ljor nlllntrk's nI:l 10 1.l"t"O. Tlw \\\0 C:I ... l'... :Ir~· t'nntr~tst('d in T:lhlt.: I ;lIld I'ig\ll..... ~ IA and III \X' ith a l'Orbt:lf11 intt.'l"l·.... t r:ltl·. tll·1110· gl~lphlc .... hilb \\'Ithin th l ' t· poplll:ltiol1 prOdlll'l' 0\ l'r thl' IX'riod ]!)l)()-2009:1 2 p(:rn:mag.... -point rb .... in lht.· ,:1\ in).!..... r:ltL' :lnd .1 2-pt.·I"t.'I,: ntag.... ·poi1l1 dedi)w III tIll' !~ t tl' (If lIl\"L·~tll11·llt. :I" .... how!l til T:lhk I /knmlingly . l · ~ L':l ril~11 outnow .... ri .....· hy Ilx:r(·L·n1;Ij.!t.· poin" ()f G\ I' Thl' I~ :1 fqx'lilion of the dr:Ull.UK proit·l·l l()n~ cOnl:unl.·d in Illy t.·;trlit.·r ;ulidL' \1 ;1 nUN.lnt intt'rt'st r:llt.·. the l 'n itL'!:1 St.IIL·~ \\ould 'Cd, 10 n.-duct' il~ ... xt .... rn~11 dd)! Bul thl' (/{Iwr m.I~)r ("()UmriL"':'> \\ould \\ i~h I() r....1ll.lin Clpit:ll L"'pot1l·r~. :1. . illdiClIt'd i n Figun.: I B Tht.· re~lI1t is :1 (':lpil;ll glut. \\ illl :IAAH.·WU", wealth L·\u:cdinj.! s Eco n o ll)iC" 1t('\'Io:w - 1"h ird Q uarter 1992 (~'pital detl1:lI1d by ]}lOrl' than 10 Ix:n:l'nl hy 2010' IIll ....r..."t r.l1e" must fall 10 elju:tlize clpiul aJ.U.:rq.ptL· ll()w.s :lllHJn).! lilt,! c()llntri('s Inve... tl!ll·nt slx:nding i.~ ,,,uhst:lnti:dly mOT .... inl .... re.~t .... bstic tllan saving. ~o til t.· hulk o f th ...· disequilibrium adjustment bIb 011 i1l\l·~lm .... 1lt For tilt.' United Slat l·S. til(: posi ti\'l· dli:n on ilH"t·.... tlll(: nt from a falling intt.'re"l rate tlffSl·I.. . tllt.· nL'gati\L' dTe<:1 of :-.lc)\\t.'r lahor force gro" th . Any rt.'duCl ion III the l~lte of c l pllal inllO\\ The SIZe oJ rho saplu$ '5 prOO801y unde<staled For Japan aoo Germany. me shale 01 the pooulallOf> age 65 and ONe! IS PfOfeCled 10 1056 ~llCant/y Iflfooghoor the 19905 aoo 2000s Goven /flat me h/e-cycIe /TIOl1fff OWIfslateS /fie rare 01 d,ssa...ng amotlg theeldt!rly, tna saVlfl9s O\Ie£hang 1$ Wee/}' 10 be even larger I/laIl my anaIysl$ suggests 27 Figure 1A Figure 1 B Projected Net Capital Outflow of the United States: Constant vs. Declining World Interest Rate Projected Net Capital Outflow of Other Selected Industrialized Countries: Constant vs . Decli ning World Interest Rate Pelcent of U S GN P Percent 01 U S GNP • • • • , , . .............,. .. ,~ ~~~~------------~~~--- .................................................~.;:;:...... ......................................01het~ ............. .. o +----------------····-····~'~~,~_~-- ......... .. .. ~ t Japan. Gelman~ , and the United Kingdom. collec1lvety NOTe , Wilh a constanl world II'It8rlSllall. ml Untied States moves steitdlty toward becoming a large net e~pone' 01 C<lpjlal by the early pall of the next century Other majOr ,nduSilta lized counlf0e5 WIsh to ,emaln capjtal e~poners. however Without extl,nat invistmeni oppor1unol0e5 to acc:ommooate these capttal outflows . Ifllerest rales mustlal The drop in rales would 51omuiat8 Iflveslment spendong around lhe world and delay the date 01 tmplOVlmen! Iflthe U S mtematlonal investment po5OtlOl1 occurs Ix-c:lus.... of an incn::I ~ in till.' s.:1\'inW' rak' U.S. net foreign a...,se1..., l 'ontinlle to dedine throughol11 the 1990s and o n into the Iwxt ce ntUll'. '111e IXI:">ic n: ason for tht:.'>t: rC:">I1i1s i.'> as follows The U.s. popubtion w i ll age .~ig nifk:tnlly OWl' the next two dt:Gtcles, rdlecting the :Iging of till' brg.... [),Iby hoo m cohort. By ihcJf, this :Iging would produce:l suhst:.llllial ri.~e in the U.S. fort:ign investment positi()\l I low .... ver. the p()pltlati(JIls of o ther major industrialized CO llntri e.~ will also ag.... over this period O n b:lbnce, Ihe U.S.-world median age differt.'nti:tl will ri."\l.· only mod .... r:ttel y The implica tio n is that any inere;!st: in U.S. net fort:ign assets \vill Ix: m uch sm al ler than a parti:'l l an::alysis of U.S. demographic trends would suggest The demograph ic forces hchind this analysis :.m: dear and dL'(;isivc, so the conclusions are robust w ith respect to both alternative par.Lmeter valm:s in my own :m alysis ;mcl alternative Imxlding appro aches (Cutler c t :11. , 1990, and M:.I.......o n amJ Tryon , ] 990). 2. Dem ograph iCS in developing countries O n.... of the salienl trl'nds in the intern:u iona l n'Ono11lY in till' IXI.'>I t1ftl'Cn years has been a move tlJward f!1'l.':.Hl'r intq..:ration of l1ati(l11al capital mark .... ts. l ..~ JX·l· ia lly among O ECD countri .... s. If this trend continuL's. til t: analysis of the previous section may itself be tl:twed by its o mission of new participants in the world ca pit:11 market Figure 2 indicat .... s how the n.::sllits of the previous analysis wOl1ld ch:lIl).:o.::. Ikbti vt: to oth .... r developed cOlin· (rie.... the United States is :l young nation. If capital tlow.~ :.11'0..' brgdy t;.'(lIlfined to developed countries, the United Sl ates wil l tend to be a net debtor nat ion. The m ....d ian age o f the U.S. IXlPulation is high. hOwL'v.... r . in relatio n to the Icss-develo(X->d world. Tht: diffcrt:m:e is mocler.ltL' hut Significant wh .... n comparing the United Simes with the fastgrowing 1::1.~t Asian COlintriL'S, slich as Hong Kong :Ind Singapore Tht: age differenti:11 is dr:lmatic, however, in the C:'ISC of Mcxico :md other wtin Am .... rica n countries. The Ille.s....age, then, is clellr If Fede ral Reserve Hank o r Dallas th\.' pnx\.:'S,.. of cap ita] mark\.,t intl;"gI~u itll1 Ctlntinllt".~ a .. 10 ind ll(lc many of Ill\.' dl;"\'dopin,!.: countries. d .... l1logr.lphic forc ....s will .'>\.'1"\ l' to suppon intert:st r.Uc!'> and r.lisl· tIl\.' intem:llion;l ] inn:...l l1ll·nt posillon ... of till' rn :l~)f indu!'>l ri;llized counlries. ind lldi ng Ihe Un itl·d Si all'!'>. . .0 Capital demands from newly liberalized countries 1'"k.·ll1r'Rl':.lpily is nOl. of (·OUTse, Ihe only f:1L1or I h;1l \\'ill afTn 'l world <:apil:l ] tlows in comi ng ( lcc.I<.Ic... Of p:trtinilar fl'l'l'nt inh,,,r....:-.I arc historic c.."(.:ollomic reform ... in Ea:-.ll·rn Europl;" To gallgt: Ihc pOIl'nlial si!-:nificlIl<'v of lilese rcforms. 1 llsed thc m(xle! (0 simubtl' lill:! dfL'('1 of:1Il ecollol11i(' fI;"COIl :o.\l1.l<.'liOI1 of 1'-::1.0.(\1.:1"11 Europe Fo r purposes of sil11l1 I:Il io n. [ Cft::ll l'd :1 (,Ollntl), gro u r l11at, rL"i:llivC' 10 Ih .... col lL.-cti\'t: ropLI 1alioll o f Ihl:! four major industnaliZ\.'(1 counlril·S. h:l.~ :U1 i<.knl iGl l :I,!.:l· m ix hut h onl)' o ne fOlln h Illl' :oi"e 10 rdlcct Iht' fl.,bti\'(:: size of till' six newly lil~I~IIi"l.·d cou ntrit:,.; of Bu lga ri:l. CZl.·cho.~lo\'ak i a. E:I.~t Gl.·fm:lny, Hungary, Poland. :md Ihun:mia To .. imulale rt..'('onstnlClion. I :1....:o.lUlll· 1h:1I thl' capita l ..11M.: k of Iht' counlry group Simulated Effect of Economic Reconstruction in Eastern Europe on U.S. Net Capital Outflow Percenl 01 U S GNP , , , ............. ~ ...... ...............e;;;C":'.............. NOTE Economoc relOfms In centrally planned or Iess-ooveloped market economoes can I'Iave a Slgn,locanl ellect on Ihe U S capLIII aeoounl Here. reforms Ihat succeed III doubllng!he East European capital stod<. over a ten·year peliOd rlllse U S net Cilpllilt ourtkM'$ by 1 plli'cem 10 2 pllfcem of US GNP at tht: hCj.!in ning of 19<.Xl is only one-half as large would Ix: o plimal. given Ihl.· ~i%e of it.~ lahor fofCC' and Ihe prevailing world iml·ccst r.lI .... Rt.."COn~tnl('ti()n consbt.~ of a capital <.h.:ept.'ning that takes plact: at a uniform !~I\e o\'er :t tt:n-year period until Ih<.· year 2000. when capilal-I:tbo r 1':.1I10S are cqu:llizt:d The cffcrts of thc..: recon'''I1·uction arl:! shmvn in Figurc..: j. A 111.:1 <il.:Ln:1I1d fo r l.:apil:J1 by E:ISI Eu rop ....:m counlrie:>: :>:ervl:!S to limit the dcdinl:! in world interest rall:!s. U.S. (':'pil;iI !lows move from :I deficit in execs:>: of I Ix.'rcel1t of GNP al Ihe cnd of IIll." 19HOs to:1 " llrplus o f nl'arl y I pcm;,nl of GNP hy the l:!!ld of the century Without additional sti mulll:>:. thl:! U.S. ('Llrrcnl :Jccolint then falls hack into ddkit. By Ihill lime, howc\'t:r. the fomll:!r ~wil.:l Un ion may Ix: in a position to host fo reign inn;!stmt:nl . with potcntially grcatt:r conSL.'"quences for world Glpilal nows :IS Figure 2 Median Age 01 Population in 1990 lor Selected Developed and Developing Countries '" '.N Figure 3 '" Arg&11I1n1l -",. S.-.;Iapor. ~, ". ". '" '" ~. '" NOTE II ImemallOflaJ borrOWlOg and landing are hmned lo!he developed world. tllen demographoc forces push lhe Ulllled Slal&S toward being a debtor ""hon. The UIlIIII(! Stales is mo,e hkely to be a net aedltor ,t developing counlnes can become more thoroughly IOlegr,n ed ,nlO lhe world capotat market F..cono m k Revi.:w - Third Quarter 1992 Does it matter? A prin<.'ipal lesson o f lhe analysis in my earl ier p aper W;IS Ihm d cmogr.l pbic shifts GIO product: large changes in capital flows and other macroeconomic aggregates that have very little consequence for living standards. So long as households plan over their life cycle, does it really matter whethe r the U.S. international investment position begins to improve this year or in ten years' time? There are at least two reasons fo r believing thai i\ does. First , a world capital glut would make it more difficult for members of the U.S. baby boom to prepare for retirement, adding to whatever burden recent fiscal policy may have left them. Even more threatening. however. is the possibility of rising protectionist pressures should the U.S. trade balance remain in deficit for another ten years. In this light, recent economic rcfonns in Communist nations and in some Latin American nations, such as Mexico and Chile , take on added significance. Through their effect on world capital markets, these refonns may promote equity across generations of U.S. citizens and help 10 preserve free international commerce and exchange. FakraJ Reserve Bank or Da.I.las References Cutler. David M., James M . POierba, Louise M. Sheincr, and lawrence H. Summers (1990), MAn Aging Socic!y: Opportunity or Cha llenge?" Brook;IlgS Papers on Economic A ctivity, no. 1:1-73. Hill , John K. (989), Mlkmogl.1phics and the Tf3de Balan ce,~ Federal ReselVe Bank o f Dallas Ecollomic Review, September, 1-11. Economk: Review - Third Quaner 1992 Masson, Paul R. , and Ralph W. Tryo n (1990), "Macroeconomic Effects of Projected Popula" tion Aging in Industrial Countries," IMFStaJ! Papers, September, 453-86. li VEST1. TG FOR GlRO\YTB Thriving in the World .\larketplace A Conference Sponsored by the FcdernJ Reserve Bank of Dallas October 29-30. 1992 The Federal Rcscr ... c B:lnk of Dallas 1992 Southwest Conference will CXI)lorc the cmcfJ.:ing rea lity o f free tr'Jdc. The move to fre e trade is a watershed event for the Southwest, \\ hich stands at the l'ross roads ofNonh--Soulh commerce. ' I'he l'On fcrence. now in ils fi fth yc~u , will feature experts who will discuss ways to ;n\'(:51 for rhe future and res tructure our economy for maxim um growth in (he new illlcm:ltiurm i m:l rkctplncc. Speakers Include • Pedro Aspe, Secretary of Finance, ~Ie)(ico • Stc ... c Bartlcn. Mayor of Dallas • Dunald Cuny. Execut;, c Vice P resident. Finance and Pl:l nninf!.. Af\ IR Corp. :lnd American Airlines Inc. • I .inner De ily, President and Chief Executin: Officer, Fuse Inll! rstace Bank of Texas, ~.A. • ~Iihun Goldbc:r,R, Dircccor of Research. U.S. Department o f EdUC'dcion • Admiral nubby R. Inma n. lIS:-.J (reti red) • behOld Lc\y. Publishc: r, Tt'Xm .Ilof//IrI] • William A. '\;iskancn, Chairman, Cam Institute • Rolx:n O . ~ l cTce r, Jr.• President and Ch ief Executive omcer, Fedcml Re~crve Bank of Dallas • I"bn ey I{ o~cnh l um, Se niOr Vice President :.md Director of Resea rch, Fe de ral Rese rve Bank of D:l lias Confc..-cnce Scs!lions • OvercOllli ng barrie rs I(J free tmue • The im porta ncc of international tr:.ide and growth for the Sou thwest • RcsHuct urinJt euueatiun to meet the needs of tomorrow's workplace • Uuild ing an e ffi cicll[ hcalth C'.lrc system • Importanc reKiona l issues addressed by a panel o f regiona l leaders Atltliliolllli Infomuuion The 1992 Somh\\eSt Confercnc.'C will be in the Dallas Fed 's new headquarters, JUSt nOrlh of WuotIall Rod~er.s Freeway at 2200:'\l.. Pearl St. in tlo\\nto\\n DaIl3S.. The regist ....,llion fcc is $150 uncil October I. 1992. anti $200 after October I , 1992. RegislI"onion matcrials will be mailed larer chis su mmer. T o requcst rc~istra( ion matcriab or more information, callihe Dallas Fed at (2 1") 922-5259. Economic Key"'..... - ThInS Quane.r 1992 New Dallas Fed Headquarters In July, [he Federal Reservt! Bank or D-.t ll~ compleled its move into a new headquarters buildjn~ at 2200 N Pearl St., 1)-.. II:1s. Tex3:. 'n)C m:uling address. Stalinn K, D:llla~ TX 7';222, has not ch..nged Importanl phone numhcr.. arc the following: New main number: Toll-free number: New main fax number: (214) 921·('()OO (800) 333- H('() (2 14) 922-6500