Powered by OpenAIRE graph
Found an issue? Give us feedback
SSRN Electronic Jour...arrow_drop_down
SSRN Electronic Journal
Article . 2023 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.34989/sw...
Other literature type . 2023
Data sources: Datacite
EconStor
Research . 2023
Data sources: EconStor
versions View all 3 versions
addClaim

On the Fragility of DeFi Lending

Authors: Chiu, Jonathan; Ozdenoren, Emre; Yuan, Kathy; Zhang, Shengxing;

On the Fragility of DeFi Lending

Abstract

Nous élaborons un modèle dynamique du crédit octroyé par l’entremise de la finance décentralisée qui intègre ces principales caractéristiques : 1) les emprunts et les prêts sont décentralisés, sont anonymes, font l’objet d’un surnantissement et sont garantis par la valeur marchande des cryptoactifs dans le cadre d’un contrat dont les modalités sont préétablies et rigides; 2) il y a une asymétrie d’information entre les emprunteurs et les prêteurs. Nous constatons un effet de rétroaction entre les prix et la liquidité : l’évolution du marché durant une période donnée dépend des attentes des agents à l’égard des activités de prêt dans l’avenir, et des attentes de prix plus élevées entraînent une augmentation des prêts et des prix au cours de cette période. Compte tenu de la rigidité des contrats intelligents, cet effet de rétroaction mène à de multiples situations d’équilibre autoréalisateur dans lesquelles le crédit par la finance décentralisée et les prix des actifs s’alignent sur l’humeur du marché. Nous montrons que des révisions souples de contrats intelligents peuvent rétablir l’unicité de l’équilibre. Cette constatation fait ressortir la difficulté d’atteindre la stabilité et l’efficience dans un environnement décentralisé qui n’offre pas de facilité de liquidité.

We develop a dynamic model of decentralized finance (DeFi) lending that incorporates two/these key features: 1) borrowing and lending are decentralized, anonymous, overcollateralized and backed by the market value of crypto assets where contract terms are pre-specified and rigid; and 2) information friction exists between borrowers and lenders. We identify a price-liquidity feedback: the market outcome in any given period depends on agents’ expectations about lending activities in future periods, with higher price expectations leading to more lending and higher prices in that period. Given the rigidity inherent to smart contracts, this feedback leads to multiple self-fulfilling equilibria where DeFi lending and asset prices move with market sentiment. We show that flexible updates of smart contracts can restore equilibrium uniqueness. This finding highlights the difficulty of achieving stability and efficiency in a decentralized environment without a liquidity backstop.

Related Organizations
Keywords

Digital currencies and fintech, Financial stability, ddc:330, G10, G01

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    10
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Top 10%
Related to Research communities
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!