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Thisarticlewasdownloadedby:[2001:da8:d800:b048:d50e:2864:5976:2131]On:26January2024,At:04:37Publisher:InstituteforOperationsResearchandtheManagementSciences(INFORMS)INFORMSislocatedinMaryland,USAManagementSciencePublicationdetails,includinginstructionsforauthorsandsubscriptioninformation:TheEconomicValue
ofBlockchainApplications:EarlyEvidencefromAsset-BackedSecuritiesXiaChen,QiangCheng,Ting
LuoTo
citethisarticle:XiaChen,QiangCheng,Ting
Luo(2024)TheEconomicValue
ofBlockchainApplications:EarlyEvidencefromAsset-BackedSecurities.ManagementScience70(1):439-463./10.1287/mnsc.2023.4671Full
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SCIENCEVol.
70,
No.
1,
January
2024,
pp.
439–463ISSN
0025-1909
(print),
ISSN
1526-5501
(online)/journal/mnscThe
Economic
Value
of
Blockchain
Applications:
Early
Evidencefrom
Asset-Backed
SecuritiesXia
Chen,a
Qiang
Cheng,a,*
Ting
Luoba
Singapore
Management
University,
Singapore
178900;
b
Tsinghua
University,
Beijing,
100084,
People’s
Republic
of
China*Corresponding
authorContact:xchen@.sg
(XC);
qcheng@.sg,
/0000-0001-5905-1740
(QC);
luot@,/0000-0002-8648-2578
(TL)Received:
April
30,
2021Revised:
December
16,
2021,
April
6,
2022Accepted:
April
25,
2022Published
Online
in
Articles
in
Advance:January
26,
2023Abstract.
In
this
paper,
we
evaluate
the
economic
value
of
a
blockchain
application.
In
thecontext
of
asset-backed
securities
(ABS)
issuance
in
China,
where
some
ABS
are
issuedwith
blockchain
technology
and
others
are
not,
we
?nd
that
the
use
of
blockchain
signi?-cantly
reduces
the
coupon
yield
at
issuance.
Compared
with
other
ABS,
those
issued
usingblockchain
technology
experiencea
decrease
of
31.4
basis
points
in
the
yield
spread,
whichcorresponds
to
a
relative
decrease
of
13%.
We
further
document
that
the
effect
of
block-chain
is
more
pronounced
for
ABS
deals
rated
by
less
reputable
credit
rating
agencies
andagencies
that
rely
more
on
issuers
for
their
rating
business,
for
revolving
ABS,
and
for
ABSwith
a
larger
number
of
underlying
assets.
We
also
?nd
that
the
use
of
blockchain
canreduce
the
level
of
retained
interest
and
number
of
credit
enhancement
mechanisms.
Thispaper
contributes
to
the
literature
by
providing
a
small-sample
analysis
of
the
economicvalue
of
a
blockchain
application
in
?nancial
markets./10.1287/mnsc.2023.4671Copyright:
?
2023
INFORMSHistory:
Accepted
by
Brian
Bushee,accounting.Funding:
X.
Chen
and
Q.
Cheng
acknowledge
funding
provided
by
the
Lee
Kong
Chian
Professorshipat
Singapore
Management
University.
This
work
was
supported
by
Singapore
Ministry
of
Educa-tion
[Grant
MOE-T2EP40120-0005].Supplemental
Material:
Data
are
available
at
/10.1287/mnsc.2023.4671.Keywords:
blockchain
asset-backed
securities
information
asymmetry??1.
Introductiontechnology
in
other
areas.
Examples
include
producttracing
by
e-commerce
?rms,
property
registration
andrecord
keeping
by
local
governments
as
in
the
states
ofArizona
and
Delaware
in
the
United
States,
and
the
pro-cessing
of
equity
transactions
as
done
by
the
AustraliaStock
Exchange
(e.g.,
Organisation
for
Economic
Cooper-ation
and
Development
2018,
Bayly
2019).The
bene?ts
of
blockchain
indicate
that
the
technologyis
well-suited
to
security
offerings,
registration,
and
set-tlement.
As
a
result,
many
governments
and
stock
ex-changes
are
studying
the
use
of
blockchain
technology
inthese
areas
(e.g.,
Caytas
2017).
Thus,
understanding
theeconomic
value
of
blockchain
applications
in
?nancialmarkets
is
of
utmost
importance.
The
Organisation
forEconomic
Cooperation
and
Development
(2018,
p.
31)comments
that
“further
research
and
dissemination
onresults
of
pilot
initiatives
using
blockchain
technology
isessential
to
give
regulators
and
policy
makers
a
strongerposition
to
assess
blockchain’s
potential
for
equity
mar-ket
activities.”
However,
some
experts
question
the
eco-nomic
value
of
blockchain
applications
(Cheng
et
al.2019,
McKinsey
and
Company
2019).
For
example,
tech-nology
expert
Tim
Bray,
formerly
of
Amazon,
commen-ted
in
2019
that
“if
[blockchain
is]
actually
generallyThe
development
of
blockchain
technology
has
fosteredmuch
excitement
about
its
potential
applications.
Becauseof
the
bene?ts
of
using
blockchain—the
accuracy
andreliability
of
data
maintained
on
blockchain—many
cor-porations
and
governments
are
exploring
blockchainapplications.
However,
given
the
high
development
andimplementation
costs
of
blockchain
technology,
it
is
criti-cal
to
empirically
investigate
the
economic
value
of
itsapplications.
Thus
far,
few
studies
have
doneso
in
a
com-mercial
environment
or
?nancial
markets
largely
becauseof
a
lack
of
data.
In
this
study,
we
exploit
the
context
ofasset-backed
securities
(ABS)
issuance
in
China,
wheresome
ABS
are
issued
using
blockchain
technology
andothers
are
not,
to
provide
empirical
evidence
on
the
valueof
a
blockchain
application.1
More
speci?cally,
we
investi-gate
whether
ABS
issued
using
blockchain
technologyhave
lower
yields
than
other
ABS.Blockchain
is
a
cryptographically
secure
ledger.
Itmaintains
areliable,
sharable,
and
time-stamped
recordof
transactions,
ownership,
and
rights
(e.g.,
Tinn
2017).Although
cryptocurrencies
are
the
most
well-knownapplications
of
blockchain,
corporations
and
govern-ments
have
either
begun
using
or
plan
to
use
this439Chen,
Cheng,
and
Luo:
The
Economic
Value
of
Blockchain
Applications440Management
Science,
2024,
vol.
70,
no.
1,
pp.
439–463,
?
2023
INFORMSuseful,
someone
somewhere
should
be
getting
dramati-cally
good
returns
on
these
investments…
I
went
look-ing
for
real
actual
production
applications,
and
lookedhard,
and
what
I
found
was
laughable.”2
Thus,
deter-mining
whether
ABS
issued
using
blockchain
technologyhave
lower
yields
than
other
ABS
can
contribute
to
thisdebate.We
test
this
prediction
in
the
setting
of
a
blockchainapplication
for
ABS
issuance
in
China.
Because
of
thegrowth
of
e-commerce
and
investment
in
blockchaintechnology
by
large
corporations,
some
Chinese
?rmsuse
blockchain
when
issuing
ABS.4
Our
sample
con-sists
of
10,287
tranches
of
4,390
ABS
deals
issuedbetween
January1,
2015,and
June30,
2021.
Bysearch-ing
for
ABS
issuance
news
online,
we
identify
14
ABSdeals
issued
using
blockchain
technology,
consistingof25tranches.Tranche-levelanalysesindicatethattheuse
of
blockchain
in
ABS
issuance
can
signi?cantlyreduce
the
yield
spread
of
ABS
tranches
(measured
asthe
yield
of
the
tranches
minus
the
yield
of
the
T-billswith
the
closest
maturity).
In
the
analysis,
we
controlfor
ABS
characteristics
that
might
affect
the
yieldspread
and
the
issuer
and
issuance
year–month
?xedeffects.
The
effect
is
economically
signi?cant
withtranches
of
blockchain-based
ABS
deals
having
anaverage
yield
spread
31.4
basis
points
lower
than
othertranches,
which
corresponds
to
a
relative
decrease
of13%
from
the
sample
mean.
This
decrease
translatesinto
a
saving
of
RMB9.6
million
in
interest
paymentsover
the
life
of
an
average
ABS
deal
withaprincipal
ofRMB1,181
million.5We
conduct
a
number
of
sensitivity
tests
to
ensurethat
the
results
are
robust.
First,
to
ensure
that
the
dif-ferences
in
characteristics
between
ABS
issued
usingblockchainand
otherABSdonotdrive
ourresults,weuse
an
entropy
balancing
approach
and
obtain
thesame
inferences.
Second,
we
obtain
the
same
infer-ences
using
a
sample
of
ABS
tranches
from
issuersthat
have
issued
ABS
deals
using
both
blockchain
andother
methods.
Third,
the
results
are
similar
when
wecontrol
for
the
time-variant
issuer
characteristics
and?xed
effects
of
the
underlying
asset
types.
Fourth,
it
ispossible
that
the
reduction
in
yield
spread
is
con-foundedbymarketparticipants’irrationalreactionstothe
application
of
blockchain
to
ABS
issuance.
UsingBitcoin
returns
to
capture
investor
hype,
we
?nd
thatthe
effect
of
blockchain
on
yield
spread
does
not
varywith
Bitcoin
returns.
This
result
is
inconsistent
withtheinvestorhypeargument.Issuing
ABS
with
blockchain
technology
can
reducethe
yield
because
blockchain
technology
can
reduce
theinformation
asymmetry
between
issuers
and
investorsregarding
the
quality
of
underlying
assets.3
In
a
typicalABS
issuance
process,
the
issuer
bundles
the
underlyingassets
and
issues
bond
securities
backed
by
these
assetsto
potential
buyers,
who
are
primarily
institutional
inves-tors.
Because
the
ABS
prospectus
usually
only
includessummary
information
about
underlying
assets,
the
qual-ity
of
these
assets
is
not
well-understood
by
marketparticipants,
leading
to
information
asymmetry
betweenissuers
and
investors
about
the
quality
of
underlyingassets,
which
is
the
main
determinant
of
ABS
yield.
Toreduce
this
information
asymmetry,
issuers
pay
creditrating
agencies
to
independently
evaluate
the
quality
ofthe
underlying
assets.
However,
rating
agencies
can
onlypartially
reduce
information
asymmetry
because
theyonly
evaluate
the
quality
ofa
random
sample
of
underly-ing
assets.
In
addition,
issuers
pay
for
these
third-partyservices,
leading
to
agency
problems
such
as
rating
in?a-tion
or
rating
shopping
(e.g.,
He
et
al.
2011,
2012).A
blockchain,
which
constitutes
a
private
chain
man-aged
by
the
issuer,
can
effectively
reduce
the
infor-mation
veri?cation
cost
(Catalini
and
Gans
2020)
andinformation
asymmetry
when
used
for
ABS
issuance.First,
unlike
traditionally
issued
ABS,
blockchain-basedABS
have
all
of
the
underlying
assets
recorded
on
theblockchain.
As
such,
market
participants
with
access
tothe
ledger
stored
on
the
blockchain
have
informationabout
the
underlying
assets
and
can
evaluate
their
qual-ity.
Second,
any
modi?cations
of
information
on
theblockchain
can
be
traced.
Therefore,
the
issuers
cannotchange
information
about
the
assets
without
the
knowl-edge
of
other
parties.
This
mechanism
increases
themarket
participants’
con?dence
in
information
aboutthe
underlying
assets.
Third,
the
ability
of
market
parti-cipants
to
conduct
their
own
due
diligence
regardingthe
quality
of
underlying
assets
mitigates
the
agencyproblem
faced
by
rating
agencies.
Given
that
marketparticipants
have
information
about
the
underlyingassets,
the
rating
agencies
are
more
likely
to
make
objec-tive
evaluations
of
the
quality
of
underlying
assets,
thusimproving
the
accuracy
of
ratings.Issuers
decide
whether
to
use
blockchain
for
ABSissuance.
The
factors
that
affect
this
decision
mightalso
affect
the
yield
spread
of
ABS.
Although
control-lingforissuer?xedeffectsandthevariablesthataffectthe
yield
spread
can
address
the
concern
of
correlatedomittedvariables,weexplicitlyaddresstheendogene-ity
concern
by
using
an
instrumental
variable
(IV)approach.
The
IV
we
use
is
the
number
of
?rms
in
theissuer’s
industry
that
are
included
on
the
“List
ofCompanies
with
Blockchain
Digital
Services,”
whichis
maintained
by
China’s
Cyber
Security
and
Digitiza-tion
Committee.
This
variable
should
only
affect
theyield
spread
of
ABS
tranches
through
its
impacton
the
issuers’
choice
of
using
blockchain
for
ABSIn
summary,
using
blockchain
to
issue
ABS
can
effec-tively
address
the
information
asymmetry
between
is-suers
and
investors.
As
information
asymmetry
is
akeydeterminant
of
the
yield
of
ABS,
we
predict
that,
ceterisparibus,
ABS
issued
using
blockchain
technology
havelower
yields
than
other
ABS.Chen,
Cheng,
and
Luo:
The
Economic
Value
of
Blockchain
ApplicationsManagement
Science,
2024,
vol.
70,
no.
1,
pp.
439–463,
?
2023
INFORMS441issuance.
We
obtain
the
same
inferences
when
we
usethis
IV.
In
addition,
it
is
possible
for
issuers
to
useblockchain
to
issue
ABS
with
higher
underlying
assetquality,
thereby
reducing
the
yield
spread
for
suchABS.
We
address
this
concern
by
examining
the
qual-ity
of
the
underlying
assets.
We
do
not
?nd
any
differ-ences
in
the
underlying
asset
quality
of
ABS
issuedusing
blockchain
and
other
ABS
with
the
underlyingasset
quality
proxied
by
the
default
rate
and
delin-quency
rate
of
the
underlying
assets
and
the
likelihoodof
the
rating
downgrade
of
ABS
tranches
after
issu-ance.
However,
despite
these
tests,
we
acknowledgethat
we
cannot
completely
rule
out
the
possibility
thatour
results
are
affected
by
potential
endogeneity.We
conduct
cross-sectional
analyses
to
provide
addi-tional
insights.
First,
because
credit
rating
agencies
playa
key
role
in
ABS
deals,
we
investigate
how
the
effect
ofblockchain
on
the
yield
spread
varies
with
the
charac-teristics
of
credit
rating
agencies.
The
reputation
ofcredit
rating
agencies
can
increase
the
accuracy
of
theirratings,
whereas
their
reliance
on
issuers
for
rating
busi-ness
can
reduce
it
(e.g.,
He
et
al.
2011,
2012).
Therefore,we
focus
on
these
two
characteristics
and
?nd
that
thenegative
effect
of
blockchain
on
yield
spread
is
less
pro-nounced
for
ABS
rated
by
more
reputable
credit
ratingagencies
but
more
pronounced
for
ABS
rated
by
creditrating
agencies
for
which
the
issuer
is
a
more
importantsource
of
rating
business.
Second,
not
all
ABS
tranchesare
the
same.
Given
that
the
use
of
blockchain
canreduce
the
information
asymmetry
about
the
quality
ofunderlying
assets,
the
effect
of
using
blockchain
shouldbe
greater
when
the
level
of
information
asymmetry
ishigher
as
is
the
case
with
revolving
ABS
and
ABS
witha
larger
number
of
underlying
assets.
The
results
areconsistent
with
these
predictions.Finally,
we
examine
the
effect
of
using
blockchaintechnology
in
ABS
issuance
on
the
level
of
retainedinterest
and
number
of
credit
enhancement
mechan-isms
at
the
ABS
deal
level.
Retained
interest
and
othercredit
enhancement
mechanisms
protect
investors
inthe
event
of
default,
but
they
are
costly
for
issuers.Therefore,
we
expect
issuers
tobe
lesslikely
torely
onthese
mechanisms
when
they
have
other
means
ofreducing
information
asymmetry.
As
expected,
we?nd
that
the
useof
blockchain
inABS
issuancesigni?-cantly
reduces
both
the
level
of
retained
interest
andnumber
of
credit
enhancement
mechanisms
with
rela-tive
reductions
of
20%
and
25%,
respectively,
fromtheirrespectivesamplemeans.Overall,
our
?ndings
indicate
that
blockchain
canreduce
the
cost
of
issuing
ABS
and
increase
the
ef?-ciency
of
capital
allocation.
To
the
best
of
our
knowl-edge,
this
study
is
the
?rst
to
empirically
examine
theeconomic
value
of
blockchain
applications
in
securi-ties
issuance.
Our
?ndings
are
timely
as
manycompaniesandgovernmentsarenowexploringblock-chain
applications.
Our
results
can
help
them
betterunderstand
the
role
of
blockchain
in
securities
issu-anceandassessfutureinvestmentsinblockchaintech-nology(Consensys2019).6Our
?ndings
are
also
signi?cant
and
timely
for
ABSissuance.
Information
asymmetry
about
the
quality
ofunderlying
assets
is
a
critical
issue
in
the
ABS
market.This
information
asymmetry
prevents
investors
fromconducting
their
own
due
diligence
and
results
in
anoverreliance
on
credit
rating
agencies.
Recognizingthis
problem,
the
Securities
and
Exchange
Commis-sion
(SEC)
issued
Regulation
AB
II,
effective
from
Novem-ber
23,
2016,
which
requires
issuers
of
certain
types
of
ABS(e.g.,
those
backed
by
auto
loans
or
mortgages)
to
providedetailed
information
about
speci?c
underlying
assets
in
aprescribed
format.
Neilson
et
al.
(2022)?nd
that
followingthe
implementation
of
this
requirement,
the
ABS
yieldspread
and
ratings
better
re?ect
the
quality
of
underlyingassets.
However,
such
mandatory
disclosure
is
costly
for7issuers
and
can
discourage
them
from
issuing
ABS.8Our
?nding
that
ABS
issued
using
blockchain
tech-nology
have
lower
yields
than
other
ABS
indicates
thatblockchain
represents
an
effective
alternative
approach
toalleviate
information
asymmetry
and
reduce
the
cost
ofcapital.
The
use
of
blockchain
to
disseminate
informationhas
three
advantages
over
the
one-size-?ts-all
disclosurerequirement.
First,
issuers
can
choose
to
use
blockchainwhen
the
dissemination
of
asset-level
information
has
agreater
bene?t.
Second,
unlike
Regulation
AB
II,
whichrequires
asset-level
information
to
be
publicly
disclosed,only
ABS
issuance
participants
have
access
to
the
informa-tion
on
blockchain,
reducing
the
proprietary
cost
of
disclo-sures.
Third,
blockchain
is
valuable
for
ABS
issuance
asmost
countries
do
not
have
asset-level
disclosure
require-ments
and
Regulation
AB
II
does
not
apply
to
all
types
ofABS
issuance,
such
as
those
backed
by
credit
card
receiv-ables
or
student
loans.9We
note
the
following
caveats
to
our
research.
First,the
application
of
blockchain
technology
is
still
in
itsinfancy;
the
number
of
ABS
deals
issued
using
block-chain
technology
is
small,
potentially
reducing
thepower
of
the
tests
and
the
reliability
of
the
results.Second,
we
provide
evidence
on
the
economic
valueof
blockchain
applications
in
ABS
issuance,
but
we
donot
consider
the
cost
of
such
applications,
which
mayvary
signi?cantly
across
settings.
Each
ABS
deal
has
asmall
number
of
market
participants,
typically
fewerthan
200
institutional
investors.
The
cost
of
blockchainapplications
with
a
signi?cantly
larger
number
ofmarket
participants
can
be
substantially
higher
andmay
outweigh
the
bene?ts.
We
leave
the
investigationof
the
economic
value
of
blockchain
applications
inothersettingstofutureresearch.10Chen,
Cheng,
and
Luo:
The
Economic
Value
of
Blockchain
Applications442Theremainder
ofthispaper
isorganized
asfollows.Section2providesadiscussionofthebackgroundanddevelops
the
hypotheses.
Section
3
presents
the
sam-ple,
data,
and
research
design.
Section
4
presents
themain
analyses,
and
Section
5
presents
the
additionalanalyses.Section6concludesthepaper.Management
Science,
2024,
vol.
70,
no.
1,
pp.
439–463,
?
2023
INFORMSsuch
that
ABS
investors
have
a
poor
understandingof
the
quality
of
these
assets.
Other
research
showsthat
issuers
and
underwriters
misrepresent
informa-tion
about
underlying
assets
and
it
is
dif?cult
for
in-vestors
to
detect
such
misrepresentation.
For
example,Piskorski
et
al.
(2015)
?nd
that
investors
receive
falseinformation
about
the
quality
of
loans
underlyingmortgage-backed
securities
as
some
originators
andunderwriters
do
not
disclose
secondliens
for
mortgageloans.
Similarly,
Ertan
et
al.
(2017)
discuss
the
agencyproblems
associated
with
loan
securitization.
Suchinformation
asymmetry
can
lead
to
adverse
selectionwhen
originators
decide
which
assets
to
securitize.Downing
et
al.
(2009),
Agarwal
et
al.
(2012),
and
Jianget
al.
(2014)
?nd
that
originators
are
more
likely
tosecuritize
lower
quality
assets
and
retain
higher
qual-ity
assets.To
address
the
problem
of
information
asymmetry,issuers
hire
credit
rating
agencies
to
assess
the
qualityof
underlying
assets.
Issuers
then
price
ABS
tranchesbased
on
these
ratings.
However,
reliance
on
creditrating
agencies
can
lead
to
issues
such
as
rating
in?a-tion
and
rating
shopping
(e.g.,
Bolton
et
al.
2012,
Bon-sall
et
al.
2017,
Baghai
and
Becker
2020)11
as
it
is
theissuers
and
not
investors
who
pay
the
credit
ratingagencies.
Rating
agencies
may
issue
more
favorableratings
to
obtain
future
business
from
issuers.
Forexample,
He
et
al.
(2011,
2012)
?nd
that
rating
agen-cies
provide
more
favorable
ratings
for
larger
issuersthan
smaller
ones
as
the
agencies
are
more
likely
toobtainfuturebusinessfromlargerissuers.Inaddition,issuers
can
“shop”
for
more
favorable
ratings
on
themarket
when
deciding
which
rating
agencies
to
hire.He
et
al.
(2016)
provide
evidence
consistent
with
rat-ing
shopping
by
issuers.
This
is
also
recognized
byregulators.
For
example,
SEC
ruling
33-9638
statesthat
“complex
assets
that
are
dif?cult
to
rate
and
thatare
likely
to
generate
differences
in
ratings
can
createincentives
for
issuers
to
shop
for
ratings
and
discloseonlythoseratingsthatarehigh”(p.38).2.
Related
Research
and
HypothesisDevelopment2.1.
Review
of
the
Related
Literature2.1.1.
Prior
Research
on
Blockchain
Technology
inFinancial
Markets.
Prior
research
on
blockchain
tech-nology
in
?nancial
markets
primarily
focuses
on
cryp-tocurrencies,
including
the
underlying
mechanisms
ofblockchain
technology
and
related
consensus
genera-tion.
For
example,
Biais
et
al.
(2019)
study
mininggames
involving
proof
of
work,
whereas
Saleh
(2021)explores
proof
of
stake
as
an
alternative
consensuspr
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