Risks in DeFi-Lending Protocols - An Exploratory Categorization and Analysis of Interest Rate Differences

Marco Huber, Vinzenz Treytl*

*Korrespondierende*r Autor*in für diese Arbeit

Publikation: Beitrag in Buch/KonferenzbandBeitrag in Konferenzband

Abstract

According to well-established principles of risk management, interest rates reflect different levels of risk. Understanding this level of risk is crucial for investors when making investment decisions. In this paper, risk factors in DeFi-lending are identified and categorized within a framework which is not only focused on technical but also on financial aspects. In a subsequent step, the influence of unsystematic risk factors on interest rates are explored to tentatively assess the validity of the literature-derived framework. Our observations indicate that operational risks emanating from the underlying layer-1-solution do seem to have a strong influence. Furthermore, first indications for the validity of scalability challenges and smart contract risks were found. For oracle risks as well as governance risks our approach yielded no results.
OriginalspracheEnglisch
Titel des SammelwerksDatabase and Expert Systems Applications - DEXA 2022 Workshops
Untertitel des Sammelwerks33rd International Conference, DEXA 2022, Vienna, Austria, August 22–24, 2022, Proceedings
ErscheinungsortCham
VerlagSpringer
Seiten258-269
ISBN (elektronisch)978-3-031-14343-4
ISBN (Print)978-3-031-14342-7
DOIs
PublikationsstatusVeröffentlicht - 2022
Veranstaltung33rd Innternational Conference on Database and Expert Systems Application - WU Wien, Wien, Österreich
Dauer: 22 Aug. 202224 Aug. 2022
Konferenznummer: 33
https://www.dexa.org/

Publikationsreihe

ReiheCommunications in Computer and Information Science
Band1633
ISSN1865-0929

Konferenz

Konferenz33rd Innternational Conference on Database and Expert Systems Application
KurztitelDexa 2022
Land/GebietÖsterreich
OrtWien
Zeitraum22/08/2224/08/22
Internetadresse

Zitat