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BoardofGovernorsoftheFederalReserveSystem
InternationalFinanceDiscussionPapers
ISSN1073-2500(Print)
ISSN2767-4509(Online)
Number1390
May2024
CorporateBondIssuanceOverFinancialStressEpisodes:AGlobalPerspective
ValentinaBruno,MicheleDathan,YuriyKitsul
Pleasecitethispaperas:
Bruno,Valentina,MicheleDathan,andYuriyKitsul(2024).“CorporateBondIssuanceOverFinancialStressEpisodes:AGlobalPerspective,”InternationalFinanceDiscus-sionPapers1390.Washington:BoardofGovernorsoftheFederalReserveSystem,
/10.17016/IFDP.2024.1390
.
NOTE:InternationalFinanceDiscussionPapers(IFDPs)arepreliminarymaterialscirculatedtostimu-latediscussionandcriticalcomment.TheanalysisandconclusionssetfortharethoseoftheauthorsanddonotindicateconcurrencebyothermembersoftheresearchstafortheBoardofGovernors.ReferencesinpublicationstotheInternationalFinanceDiscussionPapersSeries(otherthanacknowledgement)shouldbeclearedwiththeauthor(s)toprotectthetentativecharacterofthesepapers.RecentIFDPsareavailableontheWebat/pubs/ifdp/.ThispapercanbedownloadedwithoutchargefromtheSocialScienceResearchNetworkelectroniclibraryat.
1
CorporateBondIssuanceOverFinancialStress
Episodes:AGlobalPerspective
ValentinaBruno
MicheleDathan
April18,2024
YuriyKitsul*
Abstract
Weuseamergedglobaldatasetofsecurity-levelcorporatebondissuanceandfirm-levelfinancialstatementdatatoshowthat,incontrasttoearlierperiodsoffinancialstress,duringtheCOVIDpandemicnonfinancialfirmsaroundtheworldweremorelikelytoissuebonds,drivenbyaboominlocal-currency-denominatedissuance.Weobserveadistinctcross-regionaldifferenceinthecharacteristicsofissuingfirms,findingthatinadvancedeconomiesissuanceduringCOVIDwasdrivenbylessriskyfirms,aspredictedbyexistingtheories;inemergingmarkets,onlyissuanceofU.S.dollardenominatedbondscamefromlargerorlessriskyfirms.
JELCodes:F30,G15,G30.
Keywords:corporatebonds,issuance,COVID,crises
*BrunoiswithAmericanUniversityandcanbereachedatbruno@.DathanandKitsularewiththeBoardofGovernorsoftheFederalReserveSystemandcanbereachedatmichele.h.dathan@andyuriy.kitsul@.WearegratefulforcommentsfromRicardoCorrea,AyoungPark,conferenceparticipantsatFMA2023andtheAEA2024PosterSession,andseminarparticipantsattheFederalReserveBoard.WearegratefulforexcellentresearchassistancefromAustinAdams,ThomasGeorgeandBillLang.TheanalysisandconclusionsarethoseoftheauthorsanddonotreflecttheviewsoftheBoardofGovernorsoftheFederalReserve.
2
1Introduction
Duringperiodsoffinancialmarketstress,investorshoardliquidity,disengagefromriskandflocktohigh-qualityassets,makingitmoredifficultforfirmstoraisecapitalandsecurefunding.Forexample,duringthedepthsoftheglobalfinancialcrisis,onlythehighestqualityfirmswereabletoaccessexternalcapitalmarkets,andeventhosefirmshadtoissuebondsthatinvestorsdeemedaslessrisky,suchasthosewithshortermaturitiesandmore
security(Ereletal.,
2012).
Suchflight-to-qualitybehaviorbybondinvestorscanresultinaninefficientallocationofcapitaltofirms,leadingtoforegoneinvestmentopportunitiesand
othersocialcosts(CaballeroandKrishnamurthy
(2008),
Vayanos
(2004))
.
Incontrast,thispatternwasnotobservedduringtheCOVIDpandemic,evenastheglobaleconomyenteredintounchartedwatersamidunprecedenteduncertainty.Asdocumentedin
Hallingetal.
(2020)and
BeckerandBenmelech
(2021),issuanceofcorporatebondsby
U.S.firmsboomedinspringof2020,partlyreflectingextraordinarymonetaryandfiscalsupport.Suchresilienceofprimarycorporatebondmarketshelpsalleviatefirms’financialconstraints,allowsthemtopursueattractiveinvestmentopportunitiesandbetterwithstand
futureshocks(HanandQiu,
2007)
.However,elevateddebtissuance,especiallyamongriskierfirms,mayprecedefuturecreditcrunches,significantwideningofcreditspreadsand
deteriorationoffirms’financialhealthandcreditquality(GreenwoodandHanson,
2013)
.Therefore,itisimportanttounderstandhowfirms’financialratioshaveevolvedthroughthe
pandemic.
Furthermore,financialmediaandmarketparticipantspointtoasimilarbondissuanceboomoutsideoftheU.S.(forexample,
Toole
(2021),
Lonski
(2021),and
Wheatley
(2020)).Indeed,
asshowninFigure
1,comparingcumulativenonfinancialcorporatebondissuancebyyearin
differentregionsfrom2015to2021,bondissuanceboomedeverywherearoundtheworldin
2020despitethepandemic(redlines);almostallregionsexperiencedarecordlevelofannual
3
050010001500
issuance,withtheonlyexceptionbeingnon-Chinaemergingmarketeconomies(EMEs),
whichalsosawrecordissuancebutin2021(bluelines).
Figure1:Totalvalueofcorporatebondissuancebyyearfor2015-2021
AnnualU.S.dollarvalueofnonfinancialcorporatebondissuancefor2015to2021.Includes
issuancefromfirmsinourmatchedsample.Source:RefinitivWorkspace.
Euroarea
OtherAEs
U.S.
Amtissued(USDbn)
0100200300400500
0200400600
123456789101112month
123456789101112month
123456789101112month
China
Amtissued(USDbn)
0100200300400
123456789101112month
OtherEMEs
0100200300400
123456789101112month
2020
2015-2019
2021
However,academicliteraturehasdevotedmuchlessattentiontoissuancepatternsoutsideoftheU.S.andensuingimplicationsforissuingfirms,despiterapidlyincreasingimportance
ofcorporatebondmarketsabroadoverrecentdecades.1
Inthispaper,weattempttoclose
thisgapbyusingamergedglobaldatasetonsecurity-levelcorporatebondissuanceand
1Debtsecuritiesofnon-financialcorporationsasapercentageofGDPalmostdoubledbetween2009and
2020,reaching6.8%inadvancedeconomiesand2.2%inemergingeconomies(Aldasoroetal.,
2021).Within
oursample,thenewissuecorporatebondmarketoutsidetheU.S.reacheds1.35trillionin2021,comparedtos830billionintheU.S.
4
firm-levelfinancialstatementstoexaminehownonfinancialcorporatebondissuancepatternsduringCOVIDpandemiccomparedtothoseobservedinpreviousperiodsoffinancialstress(theglobalfinancialcrisisandthetapertantrum)acrossfirmsandcountries.Furthermore,weexaminefinancialhealthratiosforfirmsfromvariousregionsaroundtheworldthatissued
bondsduringCOVIDandidentifyhowtheyusedtheproceedsfromsuchissuance.
Inparticular,weaskthefollowingquestions:HowdidcorporatebondissuanceevolveovertheCOVIDpandemicindifferentregions,andhowdoessuchevolutioncomparetopreviousperiodsoffinancialstress?WethenexaminethecharacteristicsoffirmsthatissuedbondsduringCOVID,aswellaswhatthesefirmsusedtheraisedcashforandhowhealthytheylookinapost-pandemicworld.Comparingtheevolutionofcorporatedebtissuanceandfirmfinancialsacrossstressperiodsandcountriesshouldhelpusunderstandbothfirms’responsestostressandhowgovernmentpolicieshelpedthemcope,aswellashowtheongoingremoval
ofpolicyaccommodationmayaffectthecorporatesectoraroundtheworld.
Inordertoformallyquantifyhowthedifferentperiodsofstressimpactedthebondmarket,weexamineaglobalpanelofmorethan60,000firmsfrom45countriesovera16yearperiodthatincludesthethreeperiodsofacuteeconomicdistress(COVID,tapertantrumandtheglobalfinancialcrisis).WethendelvedeeperintothesubsampleoffirmsthatissuedbondsduringCOVID,andcomparetheircharacteristicstoissuersinthenon-stressyearsleadingupto2020
.2
Finally,weexaminethepost-COVIDoutcomesforthesampleoffirmsthat
contributedtotheissuanceboomduringCOVIDcomparedtothosethatdidn’t.
Wefirstusethispaneldatatoestimatefirms’propensitytoissuebondsduringnormalandstressperiods.Wefindthatincontrasttotheglobalfinancialcrisisandthetapertantrum,firmsinallregionsweremorelikelytoaccessthecorporatebondmarketduringCOVID
relativetonon-stressperiods.ThisincreasedpropensitytoissuebondsduringCOVIDis
2ThedefinitionoftheCOVIDperiodusedthroughoutthispaperaimstocaptureonlyaninitial,especiallyuncertain,periodofthepandemic(MarchtoJune2020,inclusive)ratherthantheentiredurationofthepandemic.
5
concentratedinissuanceofbondsdenominatedinlocalcurrency,ratherthanU.S.dollardenominatedbonds.Furthermore,theamountissuedandnumberofissuedcorporatebondswasalsohigherduringCOVIDrelativetoprecedingyears,incontrasttopreviousperiods
ofstress.
Second,consistentwiththetheorythatcapitalprovidersbecomemorecautiousinbadtimes,wefindthatincreasedissuanceduringCOVIDwasdrivenbylessriskyfirmsinadvancedeconomies,asproxiedbyfirmsize,leverageandprofitability.Innon-Chinaemergingmarkets,issuanceofU.S.dollardenominatedbondsduringCOVIDwasdonebylargerandlessriskyfirms,similartothecaseofadvancedeconomyfirms.Incontrast,non-Chinaemergingmarketissuanceoflocalcurrencybonds(thecurrencysegmentwhereissuanceincreasedsignificantly)wasnotdonebysaferfirmsduringCOVID,thoughtheywerelargerduring
thetapertantrum.
Third,weexplorepotentialreasonsthatmayexplainthesecorporatebondissuancepatterns,withafocusontheunprecedentedcentralbankpolicysupportthatoccurredglobally.Bond-buyingprogramsinmanyeconomiesexpandedcentralbankbalancesheetsdramatically,andweshowthattheadditionofproxiesforthisactivityandothermacroeconomicconditionsdampenstheimportanceoftheonsetoftheCOVIDpandemicinourregressionanalysis;in
otherwords,monetarypolicysupportpartlyexplainstheboominCOVIDissuance.
Inourfinalsetofanalysis,weexaminetheevolutionoffirmfinancialratiosaroundtheCOVIDpandemictoidentifyuseofbondissuanceproceedsandassessiffirmsappearover-levered.WeshowthatChinesefirms,inparticular,whoissuedduringCOVID,havehigher
leveragethantheirnon-issuingpeers.
RelatedLiterature.Thereisafast-growingliteraturethatexamineshowfirmsreactedtotheonsetofCOVIDduring2020,includingtheiraccesstocapitalandfundingmarkets.After
initiallyrelyingoncreditlinesina“dashforcash”(AcharyaandSteffen,
2020),companies
6
wereabletosuccessfullytapcapitalmarkets,althoughlessfinanciallyconstrainedandhigher-credit-qualitycompanieswere,atleastinitially,moresuccessfulinraisingcapitalthanothers(e.g.
Hallingetal.
(2020))
.Inaddition,bondissuancewasmoreresilientthansyndicated
loanissuance(BeckerandBenmelech,
2021),anddebtfinancingwasmoreprevalentthan
equityissuanceearlyinthepandemic(Hotchkissetal.,
2020).Asmallernumberofpapers
examinewhatfirmsdidwiththeproceedsfrombondsissuedduringCOVID;
Darmouniand
Siani
(2022)showtheyusedfundstorepayloansandhoardcashratherthanrealinvestment,
likelydrivenbyprecautionarymotives(PaganoandZechner,
2022)
.Thesecashholdingshelpedfirmskeeptheirnetleveragestableevenamidaborrowingbinge;grossleverage
ratiosexhibitedanincreasingtrendevenpriortothepandemic(Benmelech,
2021).
Pagano
andZechner
(2022)arguethatforlistedcompaniesevengrossleverageratiosdeclinedas
equitycapitalincreasesdominatedtheirborrowing-inducedbalance-sheetexpansion.
Ourpaperexamineswhethersomeofthesepatternsholdaroundtheglobeandhowtheycomparetopriorperiodsoffinancialstress.Toourknowledge,non-U.S.evidenceonissuesrelatedtofirms’capitalraisingandfinancialdecisionsduringtheCOVIDpandemicisquitescant,withtheexceptionofsomeanalysisofEuropeanfirms.Inparticular,
Darmouni
andPapoutsi
(2021)investigatewhetherinEuropeitwascorporatebondsoflargersafer
issuersorthoseofnewmarketentrantsthatweresubjectofsell-offbybondinvestorsanddowngradesbyratingcompanieswhile
PaganoandZechner
(2022)examinecapitalraising
activitiesandfinancialdecisionsoffirmsinbothU.S.andEuropeanddocumentbroadly
similarpatternsacrossthetworegions.
Ourstudycontributestotheliteraturealongthreedimensions.First,toourknowledge,ourpaperisthefirstcomprehensiveexaminationofCOVID-periodcorporatebondissuanceacrossallregions,includingEMEs.WhiletheissuancesurgeintheU.S.andEuropehasbeendocumentedandisperhapsnotsurprising,lessisknownaboutEMEs,thegovernments
ofwhichprovidedlessmonetaryandfiscalsupport.EMEsareofgrowingimportanceintheir
7
ownright.Moreover,issuancepatternsinEMEsmayhelpunderstandcross-borderspillovers
ofadvancedeconomymonetaryandfiscalpolicies.
Second,wecomparebondissuancepatternstothoseobservedoverearlierperiodsoffinancialstress,includingtheglobalfinancialcrisisandthetapertantrum,helpingshedlightontheroleunprecedentedworldwidepolicysupportdistinguishingtheCOVIDpandemicmighthaveplayedinsupportingcorporatecreditmarkets.Inthisrespect,thecloseststudyis
BeckerandBenmelech
(2021);itcomparescapitalraisingduringCOVIDpandemictothose
duringtheglobalfinancialcrisisinthecontextoftheU.S.
Third,weexaminenotonlybondissuancebutalsolinkfirm-levelissuancetofirm-levelfinancialandrealoutcomes,againusingourcomprehensivecross-countryfirm-leveldataset
.3
Stabilizingcorporateborrowingratesandfacilitatingfirms’accesstobondmarketsisoneoftheinitialstepsthroughwhichcreditmarketsupportpoliciesaffecttheeconomy.TheseeffectshavebeenstudiedbothincontextofCOVIDpoliciesinthepaperscitedabove
andinthecontextofearliercreditmarketsupportprogramsbyECBandBOE(D’Amico
andKaminska
,
2019;
Todorov,
2020)
.However,longer-termmacroeconomicandfinancial-stabilityimplicationsofsuchpolicieswilldependonwhatcompaniesdowiththeraisedfunds.Trackingfirms’financialandrealoutcomesovertimeisthefirststeptounderstandingsuch
longer-termeffects.
3Otherpapersthatemployissuance-firmmatcheddatasetsforfirmsoutsideoftheU.S.include
Gozzi
etal.
(2010),
Gozzietal.
(2015),
Cortinaetal.
(2018),and
Didieretal.
(2021)
.
8
2EmpiricalSpecification
2.1DataandVariablesofInterest
WeusedataoncorporatebondissuancetransactionsfromRefinitivWorkspaceforInvest-mentBankingforasampleperiodofJanuary1,2005toDecember31,2021.Thedatabasecoverstransaction-leveldetailsforbondofferingsfromcompaniesaroundtheworld.Weexcludeconvertibledebenturesandpreferredshares,aswellas$0issuanceandsecurities
withlessthan1yeartomaturityatissuance.
Wethenmatchbondissuancedatawithfirm-levelannualfinancialstatementsfromRefini-
tivWorldscopefortheyears2004-2020(financialdataislaggedtothefiscalyearbeforebondissuance).Wematchfirstbasedontheultimateparent’sRefinitivInstrumentCode(RIC),whichcanbefoundinbothRefinitivWorkspaceandRefinitivWorldscope.Wethensupplementadditionalmatchesbasedonfirmname(Issuer/BorrowerNameFullinRefinitivWorkspaceandNameinRefinitiv).Someofthematchesinthissecondstepincludesub-sidiaryfirmsthathavefinancialstatementsinWorldscopewhiletheultimateparentdoes
not(e.g.PetroChina).
Wefocusonbondissuanceactivitybynon-financialcorporationsbyexcludingfromWorld-scopeallfirmswithanSICcodebetween6000and6999.Wealsoexcludepublicadminis-trationfirmswithanSICcodeabove9000.Finally,weexcludefirmsincountrieswithfewer
than10uniqueissuersoverthesampleperiod.
Ourfinalmatcheddatasetincludes60,421firmsfrom45countries,ofwhich6,058issuedatleastonebondduringoursampleperiod(see
AppendixA
forabreakdownbycountry).Ourmatcheddatasetof80,375bondstotalsUS$25.8trillioninfacevalue,whichrepresents75.5%ofthenumberofand97.3%ofthefacevalueofnon-financialcorporatebondsinRefinitiv
Workspace.
9
Ourmainvariablesofinterestconcernmonthlybondissuanceatthefirmlevel,comparingissuancedecisionsandfirmcharacteristicsduringmonthswithfinancialstresscomparedtomonthswithnostress(“normaltimes”).Wedefineourindependentvariablesofinterestasthreedummiesfortheperiodsoffinancialstress,whichtakeonavalueof1inthefollowing
months:
.COVIDpandemic:MarchtoJune2020,inclusive;
.Tapertantrum:May2013toApril2014inclusive;and
.Globalfinancialcrisis:December2007toJune2009,inclusive.
Thesemonthswerechosenbasedonthelikelyimpactonthebondmarkets.TheGFCmonthswerechosenbasedontheNBER-definedrecession;thetapertantrumincludestheMay2013testimonybyBenBernankesignalingtheunexpectedstarttotheendofquantitativeeasing,andincludesthesubsequentslow-downinChinaandotherEMEs;andtheCOVIDmonths
includethefourmonthswheretheVIXindexwasatanaveragemonthlylevelabove30.
Wefirstexaminebondissuancedecisions,suchasthepropensitytoissueabond(issuerdummy,
whichtakesonavalueof1ifthefirmissuesatleastonebondinamonthand0otherwise),
andthedollaramountandnumberofbondsissuedbyafirminamonth.Issuanceamountsaremeasuredinconstant2011U.S.dollars.Wethenlookatthecharacteristicsofthebondsissued,suchastheweightedaveragetimetomaturityofnewbondsissuedbyafirminamonth,andtheproportionofbondsissuedbyafirmthatareratedandinvestmentgrade
rated.
Wethenturntocharacteristicsofbondissuersasofthefirm’spreviousfiscalyearend,suchaslogassets(logofUSDtotalassetvalue,using2011constantU.S.dollars),bookleverage(totaldebtdividedbytotalassets),andprofitability(netincomedividedbytotalassets).
Thelattertwovariablesarewinsorizedatthe5%and95%level.
10
Wetheninvestigatethetimeseriesofmacroeconomicvariablesaroundourperiodsoffinan-cialstress.Atthecountry-monthlevel,weexamineacountry’saverage10-yeargovernmentyield,thesizeofthecentralbank’sbalancesheetrelativetoGDP,andflowsintoacoun-try’sbondmutualfundsasapercentageofsuchfunds’assetsundermanagement.Atthemonthlylevelbutwithnocountryvariation,weexaminetheleveloftheWu-XiaShadow
FederalFundsRate(WuandXia,
2016),theleveloftheUSDbroaddollarindex,andthe
monthlyVIXlevel.
Inafinalsetofanalysis,welookattheevolutionoffirmfinancialratiosaftertheonsetoftheCOVIDpandemic.Inadditiontothepreviouslydefinedbookleverage,wealsolookatthepercentageofshort-termdebtrelativetototaldebt;theproportionoffirmswithinterestcoverageratios(definedasearningsbeforeinterest,taxes,depreciationandamortizationdividedbyinterestexpense)lessthan2;andcash,capitalexpendituresanddividends,all
dividedbytotalassets.
Weperformouranalysisforfiveseparategeographicalareas:theeuroarea,otheradvancedeconomies(AEs),theUnitedStates,China,andotheremergingmarketeconomies(EMEs).InChinaandotherEMEs,inadditiontolookingatallbondissuance,weexamineinsome
testslocalcurrencyissuanceandUSDissuance.
Table
1
showssummarystatisticsforthefullsampleperiod,brokendownbyregion.
InPanelA,wedescribethecharacteristicsofbondissuance,includingtheregionalbreakdownofthe6,058uniqueissuingfirms.Oursampleincludes17,542bondsfromnonfinancial
corporationsintheU.S.4
Forfirm-monthsthatincludeissuance,theaverageamountofbondsissuedislargestintheU.S.atapproximately$992million,followedcloselybythe
euroareaat$984million.OtherAEs,ChinaandotherEMEsaresmallerat$579million,
4Thisnumbercanbecalculatedasthenumberoffirm-monthswithissuance(10,142)multipliedbytheaveragenumberofbondswhenissuing(1.73).Oursampleissimilartothe17,379bondsissuedbetween2002and2020asdescribedin
BeckerandBenmelech
(2021)
.
11
Table1:Summarystatistics
Sample:
Euroarea
Other
AEs
U.S.
China
Other
EMEs
PanelA:Bondissuancedetails
Numberofuniqueissuingfirms
468
1,286
1,499
975
1,830
Numberoffirm-monthswithissuance
4,713
8,964
10,142
6,821
13,420
Averagenumberofbonds
0.02
0.01
0.02
0.01
0.01
Averagenumberofbonds(>0)
1.96
2.01
1.73
1.46
1.91
Averagebondsize(sm)
s10.1
s2.6
s8.8
s3.3
s1.3
Averagebondsize(>s0m)
s1,078.9
s646.3
s1,008.3
s376.8
s268.3
Weightedaveragematurity
8.53
8.95
11.44
6.10
5.80
Ratedshare
67.2%
39.9%
89.1%
12.2%
15.8%
IGratedshare
54.6%
32.3%
53.6%
4.1%
10.1%
PanelB:Bondissuercharacteristics
Logassets
10.25
9.73
9.31
9.13
8.97
Bookleverage
35.6%
36.8%
38.3%
36.6%
37.1%
Profitability
3.2%
3.3%
3.7%
3.0%
2.9%
PanelC:Allfirmcharacteristics
Numberofuniquefirms
4,043
18,360
12,073
6,407
19,538
Numberofuniquefirm-months
503,946
2,257,255
1,155,809
773,922
2,719,365
Logassets
5.36
4.28
4.07
5.94
4.97
Bookleverage
24.8%
18.7%
27.3%
21.1%
23.9%
Tangibility
23.4%
30.1%
24.7%
26.5%
31.1%
PanelD:Macroeconomicconditions
Levelof10-yearyield
2.88%
2.12%
2.92%
3.45%
4.76%
ChangeinUSDbroadindex
0.05%
0.05%
0.05%
0.05%
0.05%
WuXiashadowFedFundsrate
0.69%
0.69%
0.69%
0.69%
0.69%
MonthlychangeinVIX
2.10%
2.10%
2.10%
2.10%
2.10%
Changein1-mtheuroareaOISatECBann’ts
0.19%
0.19%
0.19%
0.19%
0.19%
Flowintobondfundsas%ofAUM
0.39%
0.41%
0.32%
5.06%
0.74%
12
$370millionand$242million,respectively.Intermsofnumberofbondsissued,formonths
withpositiveissuancetheaveragenumberofbondsissuedis2.01inotherAEs,1.96intheeuroarea,1.91inotherEMEs,1.73intheU.S.and1.46inChina.Averageinitialtimetomaturityislongerinadvancedeconomies(U.S.at11.5years,otherAEsat9.0yearsandeuroareaat8.5years)thaninemergingeconomies(6.1and5.8yearsinChinaandotherEMEs,respectively).ThemajorityofbondsintheU.S.andeuroareaarerated,whileonly40%ofbondsinotherAEsarerated.Only12%and16%ofbondsinChinaandotherEMEs
arerated.
PanelBshowscharacteristicsofbondissuingfirmswhereasPanelCshowscharacteristicsofallfirms.Notsurprisingly,bondissuersare,onaverage,largerandmoreleveredthanthefirmsinthefullsample.Intermsofbondissuers,euroareafirmsarethelargestandleastlevered,whilefirmsinotherEMEsaresmallestandhavethesecondhighestleverage(U.S.issuershavethehighestleverage).Inthefullsample,Chinesefirmsarethelargestandhavethesecondlowestleverage,whileU.S.firmsarethesecondsmallestandhavethehighest
leverage.
Finally,PanelDshowsthattheaverage10-yeargovernmentyieldsoverthesampleperiodarelowestinotherAEs,followedbytheeuroareaandtheU.S.Non-ChinaEMEshavethehighestaveragesovereignyields.Chinahasexperiencedthelargestaverageflowsintobondmutualfunds,althoughtheaverageispositiveacrossallregions.Overthesampleperiod,theaveragemonthlychangeintheUSDbroaddollarindexis0.05%,theaverageshadowFederalFundsratesis0.69%,theaveragemonthlychangeinVIXis2.10%andtheaveragechangeinthe1-montheuroareaovernightindexswaparoundEuropeanCentralBankannouncements
is0.19%.
13
2.2Regressionspecifications
Inordertotesttherelationshipbetweenissuancedecisionsandperiodsoffinancialstress,
ourmainregressionspecificationtakesonthefollowingform:
yi,t=α+β*COVID+δ*TT+γ*GFC+ηi+ϵ,(1)
whereyi,tisoneofissuerdummy,dollaramountissued(convertedusingconstant2011U.S.dollars),ornumberofbondsissued.Thesevariablesaredefinedforthefullsampleoffirm-months.Weruntheanalysisonanunbalancedpanel,basedonthefactthatsomefirmsenterandexitthesample,butforrobustnesswealsore-runtheanalysisusingonlythefirmswithdataforallyears;theresultsremainqualitativelythesame.β,δandγmeasurewhetherissuancedecisionschangeduringstressmonthsrelativetotherestofthesampleperiod.Wecontrolforfirmfixedeffectsinallspecificationswithηi.Inordertoproperlyaccountforthe
cross-sectionaldependenceinourpaneldata,weuseDriscoll-Kraaystandarderrors(Driscoll
andKraay,
1998)
.
WethenrunEquation
1
onthesampleoffirm-monthswithpositiveissuance.Thedependentvariablesyi,tthatweexplorearedollar-amountweightedaveragematurityofbondsissued
inafirm-monthandshareofbondsissuedinafirm-monthwithaninvestmentgraderating.
Wenextexaminewhetherthecharacteristicsoffirmsthatissueduringstressperiodsaredifferentthanfirmsthatissueinnon-stressperiods,usingthefollowingregressionspecifica-
tion:
yi,t=α+β*COVID+δ*TT+γ*GFC+ηj+ρt+ϵ,(2)
14
whereyi,tisthefirmcharacteristicofinterestforfirmithatissuesabondinmontht.Thefirmcharacteristicsweexaminearelogassets(inU.S.dollars,convertedusingconstant2011exchangerates),bookleverage,andprofitability.Thecoefficientsβ,δandγmeasurethedifferenceinaveragefirmcharacteristicsinstressperiodsrelativetonon-stressperiods.Wecontrolforindustryfixedeffects(using1-digitSICcode)withηjandcontrolfortimetrend
withyearfixedeffectsρt.Weclusterourstandarderrorsattheindustrylevel.
3EmpiricalResults
3.1Whatdoescorporatebondissuancelooklikeduringperiods
offinancialstress?
AsshowninFigure
1
intheintroduction,totaldollarissuanceofnonfinancialcorporatebondssurgedtorecordornear-recordlevelsin2020acrossallregions,despitetheCOVIDpandemic.Afterabriefstallintheco
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