The Economics of Interest Rate Models in Decentralised Lending Protocols

21 Pages Posted: 1 Dec 2023

See all articles by Samuel N. Cohen

Samuel N. Cohen

University of Oxford - Mathematical Institute; The Alan Turing Institute

Leandro Sánchez-Betancourt

Mathematical Institute, University of Oxford; University of Oxford - Oxford-Man Institute of Quantitative Finance

Lukasz Szpruch

University of Edinburgh - School of Mathematics; The Alan Turing Institute; Simtopia

Date Written: November 20, 2023

Abstract

We characterise the equilibrium between borrowers and lenders in a decentralised lending protocol (DLP). Using this equilibrium characterisation, we develop a methodology for a DLP to update the interest rate model (IRM) in order to move the proportion of liquidity being borrowed towards a desired level of utilization. Furthermore, we show how DLPs can estimate the supply and demand curves as borrowers and lenders interact with the pool of liquidity and compare our methodology with the well-known PID controller approach. Finally, we discuss possible exploits where lenders alter the quantities being borrowed and lent to benefit from the IRM, and we go on to study these exploits when there is response from borrowers and dynamic updating.

Keywords: decentralised lending protocols, interest rate models, utilisation, PID controller

JEL Classification: C50, C68, C63

Suggested Citation

Cohen, Samuel N. and Sánchez-Betancourt, Leandro and Szpruch, Lukasz, The Economics of Interest Rate Models in Decentralised Lending Protocols (November 20, 2023). Available at SSRN: https://ssrn.com/abstract=4638390 or http://dx.doi.org/10.2139/ssrn.4638390

Samuel N. Cohen

University of Oxford - Mathematical Institute ( email )

Woodstock Road
Oxford, Oxfordshire OX26GG
United Kingdom

The Alan Turing Institute ( email )

British Library
96 Euston Road
London, NW1 2DB
United Kingdom

Leandro Sánchez-Betancourt (Contact Author)

Mathematical Institute, University of Oxford ( email )

Andrew Wiles Building
Woodstock Road
Oxford, Oxfordshire OX2 6GG
United Kingdom

University of Oxford - Oxford-Man Institute of Quantitative Finance ( email )

Eagle House
Walton Well Road
Oxford, Oxfordshire OX2 6ED
United Kingdom

Lukasz Szpruch

University of Edinburgh - School of Mathematics ( email )

James Clerk Maxwell Building
Peter Guthrie Tait Rd
Edinburgh, EH9 3FD
United Kingdom

The Alan Turing Institute ( email )

British Library, 96 Euston Road
96 Euston Road
London, NW12DB
United Kingdom

Simtopia ( email )

United Kingdom

HOME PAGE: http://https://www.simtopia.ai

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