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FinanceandEconomicsDiscussionSeries
FederalReserveBoard,Washington,D.C.
ISSN1936-2854(Print)
ISSN2767-3898(Online)
CRERedevelopmentOptionsandtheUseofMortgageFinancing
DavidGlancy,RobertKurtzman,LaraLoewenstein
2024-046
Pleasecitethispaperas:
Glancy,David,RobertKurtzman,andLaraLoewenstein(2024).“CRERedevelop-mentOptionsandtheUseofMortgageFinancing,”FinanceandEconomicsDiscus-sionSeries2024-046.Washington:BoardofGovernorsoftheFederalReserveSystem,
/10.17016/FEDS.2024.046
.
NOTE:StafworkingpapersintheFinanceandEconomicsDiscussionSeries(FEDS)arepreliminarymaterialscirculatedtostimulatediscussionandcriticalcomment.TheanalysisandconclusionssetfortharethoseoftheauthorsanddonotindicateconcurrencebyothermembersoftheresearchstafortheBoardofGovernors.ReferencesinpublicationstotheFinanceandEconomicsDiscussionSeries(otherthanacknowledgement)shouldbeclearedwiththeauthor(s)toprotectthetentativecharacterofthesepapers.
CRERedevelopmentOptionsandtheUseofMortgage
Financing*
DavidGlancy†RobertKurtzman‡andLaraLoewenstein§2
1FederalReserveBoard
2FederalReserveBankofClevelandJune4,2024
Abstract
Asignificantshareofcommercialrealestate(CRE)investmentproperties—abouthalfbyourestimates—arepurchasedwithoutamortgage.UsingcomprehensivemicrodataontransactionsintheU.S.CREmarket,weanalyzewhichtypesofpropertiesarepurchasedwithoutamortgage,highlightingtheimportantroleofrenovationorredevelopmentoptions.Weshowthatmortgage-financedpropertiesarelesslikelytobesubsequentlyredeveloped,andthatownersanticipatetheseredevelopmentfrictionsandavoidmortgagefinancingforpropertieswithgreaterredevelopmentoptions.TheseeffectswereevenstrongerduringtheCOVID-19pandemic,whenuncertaintyincreasedredevelopmentoptionvalues.
Keywords:commercialrealestate,cashbuyers,redevelopmentJELClassification:G21,G22,G23,R33
*TheviewsexpressedinthispaperaresolelythoseoftheauthorsanddonotreflecttheopinionsoftheFederalReserveBoard,theFederalReserveBankofCleveland,ortheFederalReserveSystem.WethankparticipantsattheFederalReserveBankofClevelandandthe“ConferenceinSupportoftheSpecialIssueofRealEstateEconomicsonCommercialRealEstateFinanceandInvestment”fortheirusefulcommentsandsuggestions.
†FederalReserveBoardofGovernors,DivisionofMonetaryAffairs,20thStreetandConstitutionNW,Washington,D.C.20551;email:david.p.glancy@.
‡FederalReserveBoardofGovernors,DivisionofResearchandStatistics,20thStreetandConstitutionNW,Wash-ington,D.C.20551;email:robert.j.kurtzman@.
§FederalReserveBankofCleveland,1455East6thStreet,Cleveland,OH44114;email:
lara.loewenstein@.
2
1.INTRODUCTION
Thereissubstantialevidencethatcollateralplaysanimportantroleinmitigatingfinancialfrictions
(HartandMoore,
1994
).Realestateisespeciallywellsuitedascollateralforloans,givenitdepreciatesslowly(
RajanandWinton,
1995)andisrelativelyredeployable(Benmelechetal.,
2005
).Indeed,thecommercialrealestate(CRE)industryisgenerallyknownforoperatingwith
highleverage(Giacominietal.,
2017;
Glancyetal.,
2022)
.However,theuseofcollateralvariesdrasticallyacrossproperties;abouthalfofCREtransactionshavenomortgagesassociatedwiththem,wellabovetheshareofresidentialrealestate(RRE)transactionswithoutamortgage(
Han
andHong,
2020)
.CREisalsoalessleveredassetinaggregate,withCRE-secureddebtestimatedtobeabout15percentofthevalueofCREassets(comparedwith28percentforRRE)
.1
WhydosomanyCREinvestorspurchasepropertieswithoutamortgage?Theliteraturehasbroadlyemphasizedthedesiretomaintainfinancialflexibilityasmotivatingunsecuredborrowing(
Benm-
elechetal.,
2024)
.AnotherpotentialreasonmorespecifictoCREistomaintainflexibilitywithregardtopropertyoperationsandinvestment.Mortgagedebtcaninhibitinvestmentforseveralreasons.Perhapsmostimportantly,loancontractsfrequentlyprohibitborrowersfromengaginginmaterialalterationswithoutthelender’sconsentandprohibitborrowersfromtakingoutadditionalloanstocoverthecostsofalterations(
Mann,
1997
).Additionally,debtoverhangconsiderationsmaydiscourageinvestorsfromengagingincostlyinvestmentswhosebenefitswouldpartiallyac-cruetodebtholders(
Correaetal.,
2022;
DeFuscoetal.,
2023
),anddebtservicecostsmayin-troducefinancialconstraintsthatpreventpropertyownersfromundertakingprofitableinvestments
(Seltzer,
2021
).Understandinginvestorrenovationandredevelopmentdecisionsisespeciallyrel-evanttoday,astransitioningofficepropertiestoalternativeusescouldalleviatestrainsduetoover-supplyinthatmarket(
Guptaetal.,
2023)
.
Inthispaper,westudyhowfinancingdecisionsaffectredevelopmentoptionsusingcomprehen-
1Estimatesarefrom2023:Q3datareportedintheFinancialAccountsoftheUnitedStates.SeeFigure
A1
intheappendixfortime-seriesversionsofthesemeasuresandfordetailsonthedataconstruction.
3
sivemicrodataonU.S.CREtransactions.Weprovidetheoreticalandempiricalevidencethatanimportantmotivationforleavingapropertyunencumberedistomaintainthevalueoftheredevel-opmentoptionontheproperty.Toguideourempiricalanalysis,weestablishasimpletheoreticalframeworkwhereagingpropertieshavetheoptiontoberedevelopedatacost.Propertyownerschoosewhethertofinanceapropertywithamortgage,tradingoffthebenefitofsecuredfinancingagainstthehighercostofrenovationthatthemortgagecreates.Themodelshowsthatolderandlessproductivepropertieshavemorevaluableredevelopmentoptionsandarethus(1)morelikelytobepurchasedforimmediateredevelopmentand(2)lesslikelytobemortgagefinanced.
Guidedbyourtheoreticalframework,weconstructestimatesofredevelopmentoptionvaluesforthepropertiesinoursample.Weshowempiricallythatolder,lessproductivepropertiesaremorelikelytobepurchasedforredevelopmentorrenovation.Thefittedvaluesfromthisanalysis—namely,theestimatedprobabilityofalteration—mapdirectlyintooptionvaluesforpropertiesthatarenotpurchasedforimmediateredevelopment.Theseestimatedredevelopmentoptions,basedonpropertyageandquality,formthefoundationofouranalysisforhowsuchoptionsaffectfinancingdecisions.
Usingourproperty-levelredevelopmentoptionvalueestimates,weshowthatownersindeedstrate-gicallydecidewhethertousemortgagefinancingforpropertypurchaseswithrenovationoptionsinmind.Weidentifythiseffectusinganapproachinthespiritofadifference-in-differencesex-ercise:weestimatewhetherbuyersusemortgagefinancingbasedontheestimatedredevelopmentoptionandthepurchaser’sexperienceinrenovationorconstructionactivity(reflectingaspecificowner’scompetenceatundertakingarenovationproject).Buyerswithoutdevelopmentexperienceserveasacontrolforproperty-specificfactorsaffectingtheavailabilityofdebt(e.g.,lendersbeinghesitanttolendagainstquestionablecollateral),andtheinclusionofbuyerfixedeffectsaccountsforcross-borrowerdifferencesinfinancingneedsorbroadcreditavailability.Consequently,theeffectweidentifyshouldcapturetheextenttowhichaborrower’sdesiretopreservetherenovationoptionvalueaffectsfinancingdecisions.
4
Finally,wepresenttwopiecesofadditionalevidenceinfavorofredevelopmentoptionsaffecting
financingchoices.First,weshowdirectlythatwhenpropertiesarenotmortgagefinanced,theyaremorelikelytobesubsequentlyrenovatedorimproved.Second,weshowthatwegetsimilarfind-ingswhenweusetheCOVID-19pandemicasanalternativesourceofvariationinredevelopmentoptions.Byvirtueofproducingsignificantuncertaintyandinducingaflighttohigher-qualityprop-erties,thepandemicplausiblyincreasedtheshareofpropertyvaluesattributabletoredevelopmentoptions,particularlyforofficeproperties.Consistentwiththisidea,weshowthatbuyersreducedtheirusageofmortgagefinancingforofficesandforolderorlowerqualitypropertiesduringthepandemic.
Themostcloselyrelatedpapertoourownisthatof
Loewensteinetal.
(2021),whoshowthat
mortgagedpropertiesarelesslikelytoberedeployedtoanewuse.Weaddtothisworkintwoways.First,wedemonstratethatthepresenceofmortgagedebtnotonlyinhibitsredeploymentacrosspropertytypes,butalsoaffectssmallerrenovationsandpropertyimprovements.Second,weanalyzehowfrictionstorenovationaffectinvestors’ex-antefinancingdecisions.
Inaddition,wemakecontributionstothreestrandsoftheliterature.First,weprovideabroadsummaryofpatternsregardingthecharacteristicsofpropertiesthatareandarenotmortgagefi-nanced.Whilethereismuchworkanalyzing“allcash”purchasesintheresidentialrealestatemarket(see,forexample,
HanandHong
(2020)and
ReherandValkanov
(forthcoming
)),thereissignificantlylessworkonthistopicwithregardtocommercialproperties.
Conklinetal.
(2018)
alsousetransaction-leveldatatostudybuyers’decisiontotakeoutamortgage;however,theirsam-pleiscomposedentirelyofrealestateinvestmenttrusts(REITs),whichweshowdiffermarkedlyfromotherbuyersintermsoftheirusageofmortgagefinancing
.2
Consequently,weprovideamorecomprehensiveoverviewofpatternswithrespecttomortgageusageacrossdifferenttypesofCRE-owningentities.
2REITsareabouthalfaslikelyasotherborrowerstopurchasepropertieswithmortgagedebt.ThisdifferencecouldreflectagreateravailabilityofotherfundingsourcesortheneedforgreaterfinancialflexibilityinlightofREITs’limitedabilitytoretainnetincome.
5
Second,wecontributetoabroadliteratureonthebenefitsofcollateral.Theexistingworkdemon-
stratesthatpledgingcollateral(orhigher-qualitycollateral)canreduceborrowingcosts(
Benm-
elechetal.,
2022;
LuckandSantos,
2023),alleviatecreditrationing(
StiglitzandWeiss,
1981),
mitigateinformationasymmetries(
Bootetal.,
1991
),andincreaseborrowingcapacity(
Benm-
elechetal.,
2005;
Cerqueiroetal.,
2016)
.Nonetheless,theusageofsecureddebthasbeendeclin-ingovertime(
Benmelechetal.,
2024
),arguably,inpart,becauseofborrowers’desiretomaintainflexibilityintheusageoftheirassets.IntheCREliterature,unencumberedCREassetshavebeenshowntoprovidepropertyinvestorsasourceofliquidityviapotentialassetsalesorfuturesecured
borrowing(Conklinetal.,
2018;
Campelloetal.,
2022;
Demircietal.,
2023)
.However,unsecuredlendinggenerallycomeswithcovenantsthatmaylimitoveralldebtcapacity(
Giambonaetal.,
2018;
RiddioughandSteiner,
2020)
.Wecontributetothisliteraturebyanalyzinghowsecuredfinancingaffectsoperationalflexibilityforindividualproperties.Wefindthatunsecuredfinancinghelpsfirmsavoidrestrictionsfromrepositioningproperties
.3
Third,wecontributetotheliteratureonCREredevelopment.
MunnekeandWomack
(2020)and
Buchleretal.
(2023)useinformationonthelikelihoodofredevelopmenttoestimatethevalueof
redevelopmentoptions.Inasimilarspirit,weuseinformationonthelikelihoodoffinancingapurchasewithamortgageforpropertieswithdifferentredevelopmentoptionstoinfertheextenttowhichsecuredfinancinghindersthevalueoftheredevelopmentoption.Understandingthesefric-tionstoredevelopmentareespeciallysalientnow,giventhatshiftsinrealestatemarketspromptedbythepandemichavelikelydramaticallychangedthebestuseofspace(
Guptaetal.,
2023)
.
Theremainderofthepaperproceedsasfollows:inSection
2,wedescribethedataandprovide
descriptivestatisticsregardingwhichtransactionsaremortgagefinanced.InSection
3,wepresent
asimplemodelofhowredevelopmentoptionsaffectfinancingdecisions.InSection
4,wedescribe
ourempiricalapproachandprimaryfindings.InSection
5,weconclude
.
3Thisresultisalsoconsistentwith
Mann
(1997),whopresentsanecdotalevidencethatconcernsoverthelossof
operationalflexibilitycanmotivateunsecuredborrowing,andthemodelof
RampiniandViswanathan
(2020),which
postulatesareduced-fromcostofsecuredfinancingthatcounterbalancesthegreaterdebtcapacitythatcomesfromsecuredfinancing.
6
2.DATAANDDESCRIPTIVEANALYSIS
2.1.Data
OurprimarydatasourcecomesfromMSCIRealCapitalAnalytics(RCA).ThedatabaseprovidesinformationonpropertyandloancharacteristicsforCREtransactionssince2001forpropertiesabove$2.5millioninvalue.RCAsourcesinformationonmortgagesfrompublicrecordsdata,publicfilings,andindustrycontacts.
Afewfeaturesmakethesedataparticularlywellsuitedtothecurrentstudy.First,RCAidentifiesthe“truebuyer”inthetransaction,thusallowingustoknowtheactualentityacquiringapropertyratherthanthesubsidiary.Thisfeatureallowsustobetteranalyzewhethertheacquiringcompanyhadexperienceengaginginrenovationorredevelopmentprojects.Second,thedataincludeaqual-ityscore(Q-Score),reflectingthepricepersquarefootofapropertyrelativetopeerproperties.AlowQ-Scoreindicatesalowervaluerelativetowhatcouldlikelybeachievedafterrenovationandthusisindicativethatmoreofthevalueofthepropertycomesfromtheredevelopmentop-tion
.4
Third,thedatalinkpropertiesovertime.Consequently,wecanobservethecharacteristicsofprop-ertiesandloansthatareassociatedwithfuturerenovationandredevelopmentdecisions.Thisinfor-mationallowsustounderstandtheproperty-levelfactorsthatinfluencethelikelihoodofredevel-opmentandstudyhowtheexistenceofproperty-leveldebtcomplicatesthatredevelopment.
Weidentifytransactionsthatarenotmortgagefinanced(colloquiallyreferredtoas“cashpur-chases”)asthosewithoutanyloanorlenderinformation.ThisapproachwouldmisclassifysomemortgagedpurchasesascashtransactionsifRCAwasnotabletoobtainanyinformationonthemortgageloanorlenderoriftheywereunabletoprovidethatinformationintheirdata.How-ever,webelievethatthissourceofmisidentificationissmallfortworeasons.First,mortgagesare
4See
Cvijanovicetal.
(2022)foramoredetaileddescriptionofRCA’sQ-Scoremeasureaswellasavalidationof
RCA’scoverageandidentificationoftruebuyersbasedonREITdisclosures.
7
publicrecords,sowhileinformationaboutsomeloantermsorpropertycharacteristicsmightbe
unavailable,whetherthereisamortgageassociatedwithapropertyshouldbereliablyavailable.Itisrelevanttonotethatouranalysisonlyrequiresinformationonwhetheramortgageexists,notanyspecificloanterms.Thepublicrecordsshould,intheory,beacomprehensiveandcompleterecordofallliensonrealproperty.Whilealendercouldmakeamortgageloanwithoutrecordingitinapublicregistry,doingsowouldsignificantlyimpairtheirabilitytorecoupanylossesupononforeclosurebecauselackofapublicfilingwouldmeanthatotherpartiesorcreditorswouldnothavetorespectthepriorityoftheirlien
.5
Second,weverifythattheshareofcashtransactionsisconsistentwithtwootherdatasources.AppendixFigure
A1
showsthattheratioofCREdebttothecurrentmarketvalueofCREassetsintheU.S.averagesabout17percent.Thiscurrentleverageratioisaboutalignedwithwhatwouldbeexpectedgiventhecashsharesestimatedinthispaper,combinedwithnormalunderwritingterms
.6
Additionally,AppendixFigure
A2
showsthatcashsharesforinstitutionalinvestorsaresimilarinbothRCAanddatafromtheNationalCouncilofRealEstateInvestmentFiduciaries(NCREIF).AsNCREIFprovidesmoreuniformreportingofproperty-leveldebtthanRCA,thisfactgivesusconfidenceinRCA’scoverageofloanandlenderinformation
.7
Ourmainsampleislimitedtonon-portfoliopurchasetransactionsfrom2005through2022.Westartthesamplein2005becauseRCAexpandedcoveragethatyear.Estimatedcashshareswere
5Arelatedconcernmaybethatnotallpublicrecordsaredigitizedandaccessible,butgiventhatwelimitoursampleto2005onwardandthatRCAtransactionsareatleast$2.5millioninvalueandthereforelargelylocatedinmetropolitanareaswithdigitizedrecords,wedonotthinkthisisamajorconcern.
6Typicalat-originationLTVratiosforCREloansarearound60percent(see,forexample,
Glancyetal.
2022)
.Afteraccountingforamortizationandpropertyappreciation,theaveragecurrentLTVforoutstandingloans—i.e.,whatisbeingmeasuredintheFinancialAccounts—wouldbearound50.6percent(thiscalculationisbasedon2percentannualpriceappreciation,anaverageofa10-yearloanterm,and30-yearaverageamortizationschedules,anduniformlydistributedoriginationdates,whichwouldbebroadlyinlinewiththeaveragesofthesecharacteristicsacrossloansasrelayedin
Glancyetal.
(2022))
.Giventhatinvestmentpropertiesandowner-occupiedpropertieshavecashsharesof43percentand70percent,respectively(Figure
1),andabouttwo-thirdsofCREpropertiesareowner
-occupied(
Ghentetal.,
2019
),wewouldexpectabout61percentofthemarkettobecashfinanced.ThiswouldimplyacurrentLTVof50.6percent×.39≈20percent.Ifweoverestimatedtheportionofthemarketthatwascash-financed,wewouldexpectthisestimatetobebelow,ratherthanslightedabove,theestimatebasedonaggregateU.S.data.
7Additionally,thefactthatcashpurchasesaremostcommonforprivatebuyersandleastcommonforpubliconesisindicativethatcoverageisreliable.Ifmisclassificationswerecommon,wewouldexpecttoseehigherestimatedcashsharesforprivatebuyerssincetheirfundingismoreopaque.
8
higherbeforethisexpansion,raisingtheconcernthatloaninformationwaslesscompleteinthoseearlyyears.Weexcludeportfoliotransactions,asitislessfeasibleforthebuyertomakefinancingbasedontheredevelopmentpotentialofindividualproperties.
2.2.DescriptiveStatistics
Figure
1
showstheshareofpurchasetransactions(bynumber)withoutproperty-leveldebt(i.e.,thecashshareofpurchases),splitbybuyerobjective,buyertype,andpropertytype.Regardingbuyerobjectives,cashpurchasesaremostcommonforredevelopmentprojects,at75percent.Cashpurchasesarealsoonthehigherend,at59percent,forpurchasesbyintendedoccupiers,consistentwithhighlyfirm-specificassetsbeingmorelikelytobeownedthanrented(
SmithJr.
andWakeman,
1985
)andlesssuitedforusageascollateral(
Benmelechetal.,
2005
).Propertiespurchasedforinvestmenthavecashsharesaround46percent,whilecashsharesforrenovationsarelower,at31percent
.8
Regardingbuyertype,cashpurchasesarehighestforpublicbuyers(e.g.,REITs),at79percent,andlowestforprivatebuyers,at44percent.Regardingpropertytype,cashsharesarehighestfordevelopmentsites,at80percent;lowestforapartmentbuildings,at32percent;andbetween39and56percentfornonresidentialpropertytypes.Thesedifferencesincashpurchasesharesarereasonablystableovertime,asisshowninFigure
A3.
Thesedifferencesprovidesomehintsatmotivationsfordecidingagainstusingmortgagefinanc-ingtofundpurchases.First,differencesincreditavailabilityappeartoaffectcapitalstructuredecisions;publicbuyers,whichlikelyhavegreateraccesstounsecuredfinancing,aremuchlesslikelytousemortgagefinancingthanprivateborrowers.Additionally,mortgageusageishigh-estforapartmentbuildings,perhapsreflectinggreatercreditavailability,giventheinvolvementofthegovernment-sponsoredenterprisesinthesecondarymarket.Wewillaccountfordiffer-
8Thesepatternsarebroadlysimilarwhensharesareweightedbypropertyvalue(seeFigure
A4);onaweighted
basis,cashpurchasesarearound70percentofpurchasesforoccupancyorredevelopment,comparedwithabout43percentofpurchasesforinvestment.Figure
A5
alsoincludesthedistributionofobservationsacrossthecategories.
9
encesincreditavailabilityalongthesedimensionsintheempiricalresultsbyemployingbuyerand
property-typefixedeffects.
Second,theresultsareconsistentwiththehypothesisthatbuyersusecashfinancingtomaintainoperationalflexibilitytoengageinredevelopmentprojects.Namely,cashusageisparticularlyhighforredevelopmentprojectsordevelopmentsites.Inthenexttwosections,wewillfurtherdevelopandmoreformallytestthishypothesisbyanalyzingdifferencesinfinancingbehaviorbasedonproperties’redevelopmentoptionsandbuyers’redevelopmentexperience.
Table
1
providessomesummarystatisticsforthefullsampleofpropertysalesandforsamplesbrokenoutbywhetherthereisamortgageassociatedwiththetransaction.Sinceweareinter-estedinhowfinancingdecisionsaffectredevelopmentoptionsratherthanhowrenovationandredevelopmentprojectsarefunded,thissampleincludesonlypurchasetransactionsforthesakeofinvestment(asopposedtotheotherobjectiveslistedatthetopofFigure
1)
.Thelastcolumnpresentsthedifferenceinmeansforcash-andmortgage-financedpurchases.
Unconditionally,propertiesthatarecashfinancedhavemodestlyhigherQ-Scores,onaverage,butare1percentagepointmorelikelytohaveaQ-Scoreinthebottomquartile(“LowQ-Score”=1).Cash-financedpropertiesarealsomorelikelytobeyounger,andhaveloweraveragevaluationsbuthigherpricespersquarefoot.Additionally,transactionswithshorteraverageholdperiodsaremorelikelytobecashfinanced;thisresultisconsistentwith
Demircietal.
(2023),whodemonstratethat
REITsarelesslikelytosellencumberedproperties.
Regardingbuyercharacteristics,buyerswithdevelopmentexperience,definedasbuyersforwhichatleast25percentoftransactionsareflaggedasinvolvingrenovation,redevelopment,orconstruc-tion,aremorelikelytopurchasepropertiesallcash.Specifically,11.2percentofcashtransactionsareaccountedforbydevelopers,comparedwithonly10.7percentofmortgagedtransactions.Thefindingsaresimilarwhendevelopmentexperienceismeasuredcontinuously;theaveragecashbuyerhas16.5percentoftheirtransactionsinvolvingsomeformofdevelopment,comparedwith15.5percentformortgagedtransactions.Cash-financedpropertiesarealsomorelikelytobema-
10
teriallyimproved(i.e.,haveanatleast20-percentage-pointincreaseintheirQ-scoreinthenext
transaction),consistentwithagreaterlikelihoodofrenovation.Ofcourse,thesesummarystatis-ticsaresubjecttocompositioneffects,sowewillrequiremoreformalanalysistounderstandthesepatternsbetter.
3.MODELOFREDEVELOPMENTOPTIONSANDFINANCINGDECISIONS
Inthissection,wepresentasimplemodelofhowredevelopmentoptionsaffectfinancingdeci-sions.Inthefirstsubsection,wepresentamodelwhereCREinvestorsoptimallychoosewhentoredevelopproperties.Themodelestablishestheframeworkweuseforestimatingcross-sectionaldifferencesinthevalueofredevelopmentoptions.Inthesecondsubsection,weextendthemodeltoincludeleverageandderivehowfrictionstoredevelopingmortgagedpropertiesaffectoptionvaluesandfinancingdecisions.
3.1.Model
Supposethatanewlyrenovatedpropertyyieldsanetcashflowthatwenormalizeto1.Overtime,thiscashflowdepreciatesatrateδ.Ifpropertyinvestorsdiscountthefutureatrater,thenthevalueofapropertyaftertyearswillsatisfythepricingequation:
rV(t)=e—δt+VI(t).(1)
Supposethatownersareabletorenovateatcostctoreturnthepropertytothecashflowofanewlybuiltone.InAppendix
B,weshowthatequation(1)canthusbesolvedas
11
wheret*(c)istheoptimaltimeofrenovation,whichweshowtobemonotonicallyincreasinginc
.9
Thisexpressionsaysthattheincreaseinthevalueofthepropertyduetotherenovationoption—
definedin(2)asρ(
t;c)—isdecreasinginthetimeuntilrenovation(i.e,t*(c)-t).Highercostsofrenovationcauseownerstowaitlongertorenovateandreducethevalueoftheoption.Wecanthusderivethefirsthypothesiswetestinthedata.
Hypothesis1.Olderandlessproductive(highert)propertiesaremorelikelytobeimmediatelyredeveloped.
Thishypothesisfollowsdirectlyfromthefactthatρ(t;c)isdecreasinginthetimeuntilrenovation.Apurchaseriwouldacquireapropertyjforimmediateredevelopmentiftj-tj<0.IfweassumetjisobservableandtjisdistributedaccordingtothecumulativedistributionfunctionF,
thentheprobabilitythatapurchaseoccursforimmediateredevelopmentisF(tj).Thisprobabilityisincreasingintimesincerenovation(tj)anddecreasinginpropertyproductivity(sinceincomerelativetonewlyrenovatedproperties,e-δtj,isadecreasingfunctionoftime).
Inpractice,tjistypicallynotdirectlyobserved,sowhenweestimatethevalueofredevelopmentoptions,wewillinsteadestimateaprobitbasedonaflexiblefunctionofabuilding’sage(thetime
ithashadtodepreciate)andQ-Score(adirectmeasureoftheproperty’srelativeproductivity)tocapturetherenovationpotentialofaproperty.Specifically,weparameterizetj-tj,reflectingthe
valueoftherenovationoption,astj-tj=Xβ+σεi;j,whereXjisasetofvariablesmeasuring
theproperty’sageandquality,andεi;jfollowsastandardnormaldistribution.Wethenestimate
Pr(Renovation)=Φ(),whichprovidesameasureofthevalueoftherenovationoption
.10
9t*(c)isdefinedimplicitlybythevalue-matchingconditionthatV(t*)=V(0)-c.
10Moreformally,th
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