Unified Approach for Hedging Impermanent Loss of Liquidity Provision

summary

Video file (mp4)

The gist

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.

In short

This work develops static and dynamic methods to hedge impermanent loss (IL) for liquidity providers on DEXes like Uniswap V2 and V3. It provides unified formulas for calculating IL across different definitions and shows how to perfectly hedge IL using options in liquid markets or model-based approaches when options are unavailable.

Key concepts

Impermanent Loss (IL)
IL is the difference between the value of assets held in a liquidity pool versus simply holding those individual assets outside the pool. It occurs because asset prices diverge while they are staked, leading to a potential loss compared to not providing liquidity.
Nominal IL Definitions
The paper defines three ways to measure IL for leveraged or borrowed LPs. These include 'funded' and 'borrowed' definitions, which adjust the calculation based on whether the LP is using capital from their own funds or borrowed assets, offering different perspectives on risk.
Static Replication Methodology
This method uses traditional traded options (calls and puts) to create a portfolio that replicates the payoff of an IL protection claim. This allows for a model-independent way to value IL protection using existing financial instruments if a liquid options market exists.
Model-Based Valuation
When liquid options are missing, this approach decomposes the complex IL function into simpler components like vanilla options and exotic square root payoffs. It then uses advanced models like Black-Scholes or stochastic volatility to derive analytic formulas for accurate valuation.

Terminology used across episodes

This episode discusses

The paper

Unified Approach for Hedging Impermanent Loss of Liquidity Provision · Read on arXiv

Abu Dhabi Investment Authority & ADIA Lab & Khalifa University · Imperial College & Marex · LGT Bank

Transcript

Introduction to the show: ident: Quantitative Finance. The day in quantitative finance: models of markets, risk and prices.

Ruth: We're looking at the paper: "Unified Approach for Hedging Impermanent Loss of Liquidity Provision".

Warren: Here's the gist of the paper. 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.

Ruth: This paper provides detailed definitions and formulas for computing the IL to unify different definitions occurring in the existing literature.

Warren: Conceptual Framework of Impermanent Loss The mechanism behind the impermanent loss of LPs is similar to being short a portfolio of call and put options.

Ruth: The paper defines the IL in three ways: 1.

Title and authors: Ruth: Moving into the core of what this paper does, we see that "Unified Approach for Hedging Impermanent Loss of Liquidity Provision" isn't just defining terms; it’s proposing actual methods to manage the risk associated with liquidity provision. It shows how you can treat impermanent loss as a contingent claim with a non-linear payoff at a fixed maturity date >

Warren: A contingent claim means there's an outcome that depends on future price movements, and the payoff isn't just something you calculate once; it evolves >

Iris: That ties into the idea of introducing an "IL protection claim" which delivers the negative of that impermanent loss payoff at a fixed time T >

Ruth: Precisely. So instead of just accepting the loss, you can sell this claim to hedge against it, and they develop arbitrage-based methods for valuing and managing this specific claim >

Warren: I'm interested in those valuation methods. How do they handle the complexity when dealing with protocols like Uniswap V3 that have concentrated liquidity ranges >

Iris: That’s where the decomposition comes in; they derive a formula for impermanent loss in Uniswap V3 into three distinct parts: vanilla options, digital options, and a square root contract payoff >

Ruth: So they're breaking down the loss itself into these recognizable financial instruments that can be priced separately >

Warren: That makes sense. It moves us from just looking at a total loss number to understanding the individual pieces of what's causing the loss on a protocol like Uniswap V3 >

The paper's summary: Ruth: So, to summarize this paper, it’s about developing both static and dynamic approaches for hedging impermanent loss for liquidity provision staked at DEXes using both Uniswap V2 and V3 protocols >

Warren: It covers the definitions they introduced—the nominal, borrowed, and relative IL definitions—and then shows how these lead into the protection claim idea >

Iris: And then they show that if you have a liquid options market, you can hedge this protection claim perfectly using those traded options through a static replication method >

Ruth: But for when there's no liquid options market, they develop a model-based approach where they decompose the IL function into vanilla options, digital options, and that exotic square root payoff >

Warren: That decomposition is what allows them to derive analytic valuation formulas under models like the Black-Scholes-Merton model and even the log-normal stochastic volatility model >

Iris: And for dynamic hedging when there's no liquid market, they use Fourier transform techniques applied to the moment generating function to get those analytic solutions for IL protection claims >

Ruth: So, in essence, it gives you tools whether you have a perfect options market or not to calculate the value of protecting your liquidity provision from impermanent loss >

Warren: It’s a comprehensive toolkit that covers both static replication and model-dependent valuation under different market conditions >

The paper's improvements: Ruth: One significant improvement they suggest is using the IL protection claim to deliver the negative of the IL payoff at maturity, which allows for precise hedging at a fixed time T >

Warren: So, instead of trying to hedge continuously, you can define a specific point in time where you lock in that hedge using options >

Iris: That gives us a concrete target for risk management; it turns the abstract loss into something we can directly price and manage through option delta hedging under exponential price dynamics >

Ruth: And dynamically, they show that by balancing the premiums you receive from selling these claims against the variance realized through delta-hedging, you optimize your total profit and loss position >

Warren: That sounds like a way to control the overall P andL of a trading desk by managing both the upfront premium income and the ongoing hedging costs >

Iris: They also mention that hedging costs can be estimated either by looking at the cost of replicating portfolio or by looking at what you'd pay a trading desk for an IL protection claim >

Ruth: Which means liquidity providers can actually start making better decisions about which DEX pools they choose based on whether the expected fees they earn outweigh those calculated hedging costs >

Conclusion: Warren: So, to wrap up this paper on the "Unified Approach for Hedging Impermanent Loss of Liquidity Provision," we see that the main implication is that there's a structured way to approach IL risk management across different DEX protocols >

Ruth: The paper gives us a comprehensive framework: static replication for liquid markets and model-dependent valuation with decomposition for those without options markets >

Iris: It really establishes the IL protection claim as a formal contingent claim, which helps move the discussion away from just guesswork about loss towards rigorous mathematical pricing and risk management >

Warren: The key is that they provide tools whether you're looking at static replication or dynamic delta hedging under complex models like jump-diffusions and stochastic volatility >

Ruth: It moves us toward a system where liquidity providers can actively select pools based on the comparison between expected fees and the calculated hedging costs derived from this work >

Iris: Ultimately, it gives us a rigorous way to quantify the loss so that we can build better strategies for managing liquidity provision risk moving forward >

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