Year: 2025
Type: article
Abstract: This paper introduces a novel framework for rate discovery in decentralised finance (DeFi), focusing on the unique challenges and opportunities within decentralised lending platforms. We explore the mechanisms of interest rate formation in a decentralised environment, without traditional banking institutions’ control. By leveraging lending pool dynamics, we propose a method that integrates borrowers’ risk profiles with market liquidity conditions to determine fair borrowing rates without third-party involvement. Our model aims to offer a transparent and reliable solution for rate discovery in DeFi. Through a series of simulations, we demonstrate the potential of our framework to improve lending practices in the DeFi ecosystem, making it a viable and competitive alternative to conventional financial systems. The findings suggest that our approach not only enhances the transparency and fairness of the lending process but also encourages a more informed participation of lenders and borrowers, ultimately contributing to the stability and growth of the DeFi market.
Authors: Charlotte Eli, Hervé Alexandre
Institution: Université Paris Dauphine-PSL
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $962
OpenAlex ID: W7104435698
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