对冲流动性永久丧失准备金的统一方法

Alexander Lipton, Vladimir Lucic, Artur Sepp
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引用次数: 0

摘要

我们开发了静态和动态方法,用于对冲采用 Uniswap V2 和 V3 协议的去中心化交易所(DEXes)中流动性供应(LP)的无常损失(IL)。我们提供了计算 IL 的详细定义和公式,以统一现有文献中出现的不同定义。我们证明,IL 可以看作是一个固定到期日非线性报酬的或有债权。因此,我们引入了被称为 IL 保护债权的或有债权,它在到期日提供 IL 报酬的负值。我们采用基于套利的方法对该债权进行估值和风险管理。首先,我们开发了独立于模型的静态复制方法,利用交易的欧洲虚值看涨和看跌期权对 IL 保护索赔进行估值。我们对现有方法进行了扩展和概括,证明如果存在一个流动期权市场,则可以用期权对冲 IL 保障债权。其次,我们开发了基于动态模型的方法,用于在风险中性度量下对 IL 保障债权进行估值和对冲。我们利用风险中性度量下可获得特征函数的各类价格动态推导出分析估值公式。作为基础案例,我们推导了布莱克-斯科尔斯-默顿模型和逻辑正态随机波动模型下 IL 保障索赔的分析估值公式。最后,我们讨论了利用我们的结果对 LP 押注的风险回报进行估计的问题。
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Unified Approach for Hedging Impermanent Loss of Liquidity Provision
We develop static and dynamic approaches for hedging of the impermanent loss (IL) of liquidity provision (LP) staked at Decentralised Exchanges (DEXes) which employ Uniswap V2 and V3 protocols. We provide detailed definitions and formulas for computing the IL to unify different definitions occurring in the existing literature. We show that the IL can be seen a contingent claim with a non-linear payoff for a fixed maturity date. Thus, we introduce the contingent claim termed as IL protection claim which delivers the negative of IL payoff at the maturity date. We apply arbitrage-based methods for valuation and risk management of this claim. First, we develop the static model-independent replication method for the valuation of IL protection claim using traded European vanilla call and put options. We extend and generalize an existing method to show that the IL protection claim can be hedged perfectly with options if there is a liquid options market. Second, we develop the dynamic model-based approach for the valuation and hedging of IL protection claims under a risk-neutral measure. We derive analytic valuation formulas using a wide class of price dynamics for which the characteristic function is available under the risk-neutral measure. As base cases, we derive analytic valuation formulas for IL protection claim under the Black-Scholes-Merton model and the log-normal stochastic volatility model. We finally discuss estimation of risk-reward of LP staking using our results.
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