A Multi-Asset, Agent-Based Approach Applied to DeFi Lending Protocol Modelling

Abstract

We assess the market risk of the DeFi lending protocols using a multi-asset agent-based model to simulate ensembles of users subject to price-driven liquidation risk. Our multi-asset methodology shows that the protocol’s systemic risk is small under stress and that enough collateral is always present to underwrite active loans. Our simulations use a wide variety of historical data to model market volatility and run the agent-based simulation to show that even if all the assets like ETH, BTC and MATIC increase their hourly volatility by more than ten times, the protocol carries less than0.1% default risk given suggested protocol parameter values for liquidation loan-to-value ratio and liquidation incentives.

Published

July 1, 2023

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