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Rate Discovery in Decentralised Lending

Author

Listed:
  • Charlotte Eli
  • Hervé Alexandre

    (DRM-Finance - DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

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.

Suggested Citation

  • Charlotte Eli & Hervé Alexandre, 2025. "Rate Discovery in Decentralised Lending," Post-Print hal-05572609, HAL.
  • Handle: RePEc:hal:journl:hal-05572609
    DOI: 10.31585/jbba-8-2-(7)2025
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