论文标题
一种用于Fefi Lending协议建模的多资产,基于代理的方法
A multi-asset, agent-based approach applied to DeFi lending protocol modelling
论文作者
论文摘要
我们使用基于多资产代理的模型来评估Defi贷款协议的市场风险,以模拟受到价格驱动的清算风险的用户集团。我们的多资产性方法表明,该协议的系统风险在压力下很小,并且始终存在足够的抵押品来承销主动贷款。我们的模拟使用各种历史数据来模拟市场波动率,并运行基于代理的模拟,以表明,即使所有资产(例如ETH,BTC和MATIC)将其每小时波动率提高了十次以上,该协议的违约风险少于0.1 \%的违约风险,建议的协议参数值值为清算贷款贷款贷款比率和液化比率和清算奖励奖。
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 than 0.1\% default risk given suggested protocol parameter values for liquidation loan-to-value ratio and liquidation incentives.