# Hedging Impermanent Loss with Power Perpetuals (2)

Last updated

Last updated

In the first article of this series, we explained how to hedge the impermanent loss of CFMM (of Uniswap V2 style) by power perpetuals. The idea is to hedge the Delta and Gamma to zero at the entry point (the price at which an LP deposits liquidity) so that the LP portfolio value stays flat in a reasonably wide range around the entry point. The algorithm was based on calculating the Delta and Gamma of an LP position of Uniswap-V2-style CFMM. Since the function in the CFMM of Uniswap V3 is different from that of V2, the hedging would be a bit different too. This article explains how to hedge the impermanent loss of LP position in Uniswap V3 by power perpetuals. We will skip the basic concepts (for which you can the details in the previous article) and directly start with Uniswap’s different Greek letters.

Greek Letters of Uniswap V3

Let’s still take the ETH-USDC pair as an example: provide $x_0$ETH and $y_0$ SDC to Uniswap V3 when ETHUSDC= $p_0$ with the range specified as $(p_a,p_b)$When the price of ETH $P$ changes within the range, you would have $x$ ETH and $y$ USDC following the formula:

$\left(x+\frac{L}{\sqrt{p_b}}\right)\left(y+L\sqrt{p_a}\right)=L^2$

Just like in Uniswap V2, $x$ and $y$ are functions of the ETH price $p$ (in this article we follow the denotation of Uniswap V3 whitepaper to use $p$ in place of $S$ and $L^2=K$:

$x=L\left(\frac{1}{\sqrt p}-\frac{1}{\sqrt p_b}\right)\\
y=L\left(\sqrt p-\sqrt p_a\right)$

The value of your LP position is as follows, for $p\in(a,b)$:

$V=xp+y=L\left(2\sqrt p-\frac{p}{\sqrt p_b}-\sqrt p_a\right)$

Therefore, we have Delta and the Gamma of your LP tokens as follows:

Hedging IL with Powers and Futures

Then we can rewrite the hedged portfolio as:

Numerical Analysis

Providing 1ETH+2000USDC to the ETH-USDC pair

Long 0.00253 units of ETH^2 (equals to 2.53 units of mETH^2 on Deri Protocol)

Cost vs Income

Constructing the portfolio above comes at a cost. Usually, both the futures and powers positions would incur funding fees. However, the expectation of the futures funding fee is 0. Therefore, we only consider the funding fee of the powers. Per the pricing of powers, the theoretical funding fee of 1 unit of powers for one funding period is:

This leads to an annualized cost in terms of a ratio of the LP value:

Let’s put this annualized cost into numerical scenarios:

**Extra Capital for the Derivative Margin**

The futures and powers positions require extra capital to be held as margin.

The power position needs:

Currently, Deri required 16% as initial margin for powers on BSC and 8% on Arbitrum, which correspond to **1635U** on BSC and **817U** on Arbitrum respectively.

Similarly the futures position needs:

Currently, Deri required 8% as initial margin for futures on BSC and 4% on Arbitrum, which correspond to **1754 U** on BSC and **877 U** on Arbitrum respectively.

Therefore, the total required margin would be **3389 U on BSC** and **1678 U on Arbitrum**. Please note that this initial margin is sufficient to cover the price change of +/-10%, so you don’t need to worry about liquidation.

$\Delta = \frac{\partial V}{\partial p}=L\left(\frac{1}{\sqrt p}-\frac{1}{\sqrt p_b}\right)\\
\Gamma = \frac{\partial \Delta}{\partial p}=-\frac{L}{2p^{\frac{3}{2}}}$

Noticing $L^2$ is corresponding to $K$, we can see that LP position in Uniswap V3 has a smaller Delta than V2 (with an extra $\frac{L}{\sqrt p_b}$term), but exactly the same Gamma. Therefore, only some small changes are needed to make the LP position Delta-neutral and Gamma-neutral.

Assume you need $w$ units of ETH^2 to make the portfolio Gamma-neutral:

$w\cdot\frac{2}{1-hT}-\frac{L}{2p^\frac{3}{2}}=0\\$

$w = \frac{(1-hT)L}{4p^\frac{3}{2}}$

And then you would need to take $z$ units of ETHUSD futures to make the portfolio Delta-neutral:

$z+L\left(\frac{1}{\sqrt p}-\frac{1}{\sqrt p_b}\right)+w\cdot\frac{2S}{1-hT}=0\\$

$z=-\frac{3}{2}\frac{L}{\sqrt p}+\frac{L}{\sqrt p_b}$

In other words, you need to short $L\left(\frac{3}{2\sqrt p}-\frac{1}{\sqrt p_b}\right)$ units of ETHUSD futures.

In practice, as a static hedge entered at $p=p_0$, we just need to fix $w$ and $z$ with the value at this point.

To summarize, the following portfolio has 0 Delta and 0 Gamma at the entry point $(x_0, y_0)$ of the range order:

Providing $x_0$ ETH+$y_0$ USDC to the ETH-USDT pair

Long $\frac{(1-hT)}{4p_0^\frac{3}{2}}L$ units of ETH^2 power perps

Short $\left(\frac{3}{2\sqrt p_0}-\frac{1}{\sqrt p_b}\right)L$ units of ETHUSD futures

Please note that the $L$ is the measure of the liquidity density provided by this range order and is determined by $(p_0, p_a, p_b)$. Given the amount of provided liquidity (given $x_0$ and $y_0$), the narrower the range is (the smaller $(p_b-p_a)$ is), the bigger $L$ would be (meaning the liquidity is more concentrated). $L$ can be calculated by solving the pricing formula, which leads to:

$L=\frac{\left(\frac{y}{\sqrt p_b}+x\sqrt p_a\right)+\sqrt{\left(\frac{y}{\sqrt p_b}+x\sqrt p_a\right)^2+4\left(1-\sqrt\frac{p_a}{p_b}\right)xy}}{2\left(1-\sqrt\frac{p_a}{p_b}\right)}$

For Uniswap V3, LP does not have to provide liquidity symmetrically (i.e., $x_0p_0=y_0$). However, if we do follow this V2-tradition, then for 1 unit of ETH-USDC pair (i.e., 1ETH + $p_0$USDC), we have

$\frac{L}{\sqrt p_0}\triangleq R=\frac{\left(\sqrt \frac{p_a}{p_0}+\sqrt \frac{p_0}{p_b}\right)+\sqrt{\left(\sqrt \frac{p_a}{p_0}+\sqrt \frac{p_0}{p_b}\right)^2+4\left(1-\sqrt\frac{p_a}{p_b}\right)}}{2\left(1-\sqrt\frac{p_a}{p_b}\right)}$

Providing 1 unit (i.e., 1ETH+$p_0$USDC) to the ETH-USDT pair

Long $\frac{(1-hT)R}{4p_0}$ units of ETH^2 power perps

Short $\left(\frac{3}{2}-\sqrt\frac{p_0}{p_b}\right)R$ units of ETHUSD futures

Assume you provide one unit of ETH-USDC pair to Uniswap V3 when ETHUSDC=2000, *i.e.*, $x_0=1, y_0=2000$, with the range specified as $p_a=1800, p_b=2200$. With the formula above we have $R=20.4374$. Assuming volatility $\sigma=100\%$ , we can calculate the values of the portfolio:

Short $\left(\frac{3}{2}-\sqrt\frac{2000}{2200}\right)*20.4374=10.9646$ units of ETHUSD futures

$F=P_{power}-p^2 = p^2\frac{hT}{1-hT}$

$C=\frac{w\cdot F}{2p_0T}=\frac{hp^2R}{8p_0^2}=\frac{R}{16}\cdot\sigma^2\cdot\left(\frac{p}{p_0}\right)^2$

Every second, the cost $C$ accumulates at the speed proportional to $\sigma^2$. To figure out the average cost, we need to estimate the average $\sigma^2$. Statistics show that, for the last 12 months, $\bar{\sigma^2}\approx (97\%)^2$ for ETH. In the table above, we also show how the annualized cost varies when $\bar{\sigma^2}\approx (97\%)^2$.

Please note the table above applies for BTC too. Statistics show that, for the last 12 months, $\bar{\sigma^2}\approx (82\%)^2$ for BTC. We also list the corresponding cost ratio in the table.

$M_{power}=wP_{power}r_{IM.power}=\frac{1}{4}Rp_0r_{IM.power}$

$M_{futures}=\left(\frac{3}{2}-\sqrt\frac{p_0}{p_b}\right)Rp_0 r_{IM.futures}$