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Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Deciphering DeFi: A Comprehensive Analysis and Visualization of Risks in Decentralized Finance
Organization Unit
Authors
  • Tim Weingärtner
  • Fabian Fasser
  • Pedro Reis Sá da Costa
  • Erich Walter Farkas
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
Journal Title Journal of Risk and Financial Management
Publisher MDPI Publishing
Geographical Reach international
ISSN 1911-8074
Volume 16
Number 10
Page Range 454
Date 2023
Abstract Text Decentralized finance (DeFi) promises a revolution in financial accessibility, transparency, and automation. Yet, its very novelty exposes participants to a number of additional risks and challenges. This study aims to address the risks associated with DeFi, while also conducting a comparative analysis to those of classical/traditional finance (TradFi). After introducing DeFi and its defining characteristics, such as the use of smart contracts, blockchain technology, and decentralized governance, the paper outlines the principal risks associated with DeFi. Drawing insights from an extensive literature review of 200 recent articles, of which 50 were thoroughly analyzed, the study compares risks of DeFi and TradFi, categorizing these into systematic and unsystematic risks. Furthermore, we introduce the ‘risk wheel’, an innovative tool tailored to understand and navigate the subtleties of DeFi risks, finding potential applications in risk assessment, management, and even education. This paper’s primary objective is to provide a detailed and impartial examination of the risks associated with DeFi and their comparison to traditional finance in order to assist stakeholders in making informed decisions and mitigating possible losses.
Free access at DOI
Digital Object Identifier 10.3390/jrfm16100454
Other Identification Number merlin-id:24201
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Keywords Decentralized finance; DeFi; Risk management; Literature review; Risk classification; Risk wheel
Additional Information This article belongs to the Special Issue Mechanisms and Models of Risk Management.