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

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Database and Expert Systems Applications - DEXA 2022 Workshops (DEXA 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1633))

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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.

This work is based on the first author’s thesis which was co-supervised by the second author.

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Correspondence to Vinzenz Treytl .

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Huber, M., Treytl, V. (2022). Risks in DeFi-Lending Protocols - An Exploratory Categorization and Analysis of Interest Rate Differences. In: Kotsis, G., et al. Database and Expert Systems Applications - DEXA 2022 Workshops. DEXA 2022. Communications in Computer and Information Science, vol 1633. Springer, Cham. https://doi.org/10.1007/978-3-031-14343-4_24

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  • DOI: https://doi.org/10.1007/978-3-031-14343-4_24

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  • Publisher Name: Springer, Cham

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