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closedEnded 4 years ago ยท Snapshot (Offchain)

eIP 15: Reduce Reserve Factors and Amend Interest Rate Models

By 0x8Da6...Cb01D2

Simple Summary

This proposal offers to reduce reserve factors on all cross and collateral assets, as well as to amend interest models.

Motivation

The motivation behind the proposal is to reduce the spread between the borrow and lending APYs. As of now, the spreads are way too wide even by DeFi standards:

7983c01746b0e7ffabbddb0ba2be4d64c8febde8.jpeg

The reason is two-fold:

  1. Reserve factor is too high
  2. Utilisation has gone down during market volatility

On (1), reserve factor of 0.23 means 23% of all the interest borrowers pay goes into reserves, ie lenders only get 77% of all the interest. This is arguably too much and lenders should be receiving more interest.

On (2), utilisation has decreased across the board as fewer people borrow from pools to liquidity mine $EUL. To illustrate:

USDC:

92d854c629445207ef48005b2bd523d2aaa23964.png

WETH:

24162e61bdf7e92c2cca12a80504a130eb222282.png

DAI:

cd91ab812964958d3c60a6ac34508bd6afb49889.png

WBTC:

9024ba0b74808f110cf1c7d9f091505c1c9ba50f.png

Why does utilisation affect the spread? Because if the lending pool contains $1,000,000 and only $100 is borrowed, the interest the borrowers pay on $100 is distributed across $1,000,000 worth of lent assets. Alternatively, if the entire $1,000,000 is being borrowed, then lenders get a lot more interest on average.

How to address (2) then? Increase utilisation by moving the kink further out and/or lowering the interest rate around the kink. This way, your borrow vs lending APY spreads are reasonable even at high utilisation levels.

Implementation

Exact smart contract implementation will be posted shortly.

Current Model

Base IRKink IRMax IRKink%Reserve Factor
USDC0%4%100%80%0.23
WSTETH0%8%200%80%0.10
WETH0%4%100%80%0.23
DAI0%4%100%80%0.23
WBTC0%8%200%80%0.23
USDT0%20%300%80%0.23
AGEUR0%4%100%80%0.23
UNI0%20%300%80%0.23
LINK0%20%300%80%0.23
ENS0%20%300%80%0.23
MATIC0%20%300%80%0.23
OSQTH0%20%300%80%0.23
RBN0%20%300%80%0.23
SHIB0%20%300%80%0.23
MKR0%20%300%80%0.23
CVX0%20%300%80%0.23
PERP0%20%300%80%0.23
AXS0%20%300%80%0.23

New Model

Base IRKink IRMax IRKink%Reserve Factor
USDC0%1%100%80%0.02
WSTETH0%1%200%80%0.02
WETH0%1%100%80%0.02
DAI0%1%100%80%0.02
WBTC0%1%200%80%0.02
USDT0%1%300%80%0.02
AGEUR0%1%100%80%0.02
UNI0%1%300%80%0.02
LINK0%1%300%80%0.02
ENS0%1%300%80%0.02
MATIC0%1%300%80%0.02
OSQTH0%1%300%80%0.02
RBN0%1%300%80%0.02
SHIB0%1%300%80%0.02
MKR0%1%300%80%0.02
CVX0%1%300%80%0.02
PERP0%1%300%80%0.02
AXS0%1%300%80%0.02

Risk Assessment

Assuming we only change the reserve factors to 0.02 without amending the interest rate models, we get the following improvement in lending APYs:

AssetCurrent UtilisationCurrent Borrow APYCurrent Lending APYNew Borrow APYNew Lending APYRF Improvement
USDC51.07%2.55%1.00%2.55%1.28%0.27%
WSTETH38.00%3.80%1.30%3.80%1.42%0.12%
WETH45.45%2.27%0.80%2.27%1.01%0.22%
DAI28.81%1.44%0.32%1.44%0.41%0.09%
WBTC29.24%2.92%0.66%2.92%0.84%0.18%
USDT20.95%5.24%0.84%5.24%1.08%0.23%
AGEUR58.39%2.92%1.31%2.92%1.67%0.36%
UNI32.26%8.07%2.00%8.07%2.55%0.55%
LINK37.23%9.31%2.67%9.31%3.40%0.73%
ENS44.58%11.15%3.83%11.15%4.87%1.04%
MATIC10.27%2.57%0.20%2.57%0.26%0.06%
OSQTH9.00%2.25%0.16%2.25%0.20%0.04%
RBN73.39%18.35%10.37%18.35%13.20%2.83%
SHIB7.87%1.97%0.12%1.97%0.15%0.03%
MKR0.00%0.00%0.00%0.00%0.00%0.00%
CVX43.47%10.87%3.64%10.87%4.63%0.99%
PERP74.78%18.70%10.76%18.70%13.70%2.94%
AXS0.00%0.00%0.00%0.00%0.00%0.00%

These are rather decent in % terms, especially on the more liquid assets like USDC, WSTETH and WETH.

Next, if we amend the interest rate model WITHOUT changing the reserve factor. The rate model change is just changing the IR% at kink to 1%.

AssetCurrent UtilisationCurrent Borrow APYCurrent Lending APYCurrent SpreadNew Borrow APYNew Lending APYNew Spread
USDC51.07%2.55%1.00%1.55%0.64%0.25%0.39%
WSTETH38.00%3.80%1.30%2.50%0.48%0.16%0.31%
WETH45.45%2.27%0.80%1.48%0.57%0.20%0.37%
DAI28.81%1.44%0.32%1.12%0.36%0.08%0.28%
WBTC29.24%2.92%0.66%2.27%0.37%0.08%0.28%
USDT20.95%5.24%0.84%4.39%0.26%0.04%0.22%
AGEUR58.39%2.92%1.31%1.61%0.73%0.33%0.40%
UNI32.26%8.07%2.00%6.06%0.40%0.10%0.30%
LINK37.23%9.31%2.67%6.64%0.47%0.13%0.33%
ENS44.58%11.15%3.83%7.32%0.56%0.19%0.37%
MATIC10.27%2.57%0.20%2.36%0.13%0.01%0.12%
OSQTH9.00%2.25%0.16%2.09%0.11%0.01%0.10%
RBN73.39%18.35%10.37%7.98%0.92%0.52%0.40%
SHIB7.87%1.97%0.12%1.85%0.10%0.01%0.09%
MKR0.00%0.00%0.00%0.00%0.00%0.00%0.00%
CVX43.47%10.87%3.64%7.23%0.54%0.18%0.36%
PERP74.78%18.70%10.76%7.93%0.93%0.54%0.40%
AXS0.00%0.00%0.00%0.00%0.00%0.00%0.00%

The new spread is unsurprisingly tighter than the current spread.

Hereโ€™s what happens if we decrease the IR% at Kink to 1% and the reserve factor to 0.02:

AssetCurrent UtilisationCurrent Borrow APYCurrent Lending APYCurrent SpreadNew Borrow APYNew Lending APYNew Spread
USDC51.07%2.55%1.00%1.55%0.64%0.32%0.32%
WSTETH38.00%3.80%1.30%2.50%0.48%0.18%0.30%
WETH45.45%2.27%0.80%1.48%0.57%0.25%0.32%
DAI28.81%1.44%0.32%1.12%0.36%0.10%0.26%
WBTC29.24%2.92%0.66%2.27%0.37%0.10%0.26%
USDT20.95%5.24%0.84%4.39%0.26%0.05%0.21%
AGEUR58.39%2.92%1.31%1.61%0.73%0.42%0.31%
UNI32.26%8.07%2.00%6.06%0.40%0.13%0.28%
LINK37.23%9.31%2.67%6.64%0.47%0.17%0.30%
ENS44.58%11.15%3.83%7.32%0.56%0.24%0.31%
MATIC10.27%2.57%0.20%2.36%0.13%0.01%0.12%
OSQTH9.00%2.25%0.16%2.09%0.11%0.01%0.10%
RBN73.39%18.35%10.37%7.98%0.92%0.66%0.26%
SHIB7.87%1.97%0.12%1.85%0.10%0.01%0.09%
MKR0.00%0.00%0.00%0.00%0.00%0.00%0.00%
CVX43.47%10.87%3.64%7.23%0.54%0.23%0.31%
PERP74.78%18.70%10.76%7.93%0.93%0.69%0.25%
AXS0.00%0.00%0.00%0.00%0.00%0.00%0.00%

It is important to consider the fact that lower rates across the board may cause higher utilisation. This increases liquidity risk. Letโ€™s see at what utilisation will borrow APYs match the current borrow APYs:

AssetCurrent UtilisationCurrent Borrow APYCurrent Lending APYCurrent SpreadNew Borrow APYNew Lending APYNew SpreadUtilisation where Current Borrow APY = New Borrow APY
USDC51.07%2.55%1.00%1.55%0.64%0.32%0.32%80.314%
WSTETH38.00%3.80%1.30%2.50%0.48%0.18%0.30%80.281%
WETH45.45%2.27%0.80%1.48%0.57%0.25%0.32%80.257%
DAI28.81%1.44%0.32%1.12%0.36%0.10%0.26%80.089%
WBTC29.24%2.92%0.66%2.27%0.37%0.10%0.26%80.193%
USDT20.95%5.24%0.84%4.39%0.26%0.05%0.21%80.283%
AGEUR58.39%2.92%1.31%1.61%0.73%0.42%0.31%80.388%
UNI32.26%8.07%2.00%6.06%0.40%0.13%0.28%80.473%
LINK37.23%9.31%2.67%6.64%0.47%0.17%0.30%80.556%
ENS44.58%11.15%3.83%7.32%0.56%0.24%0.31%80.679%
MATIC10.27%2.57%0.20%2.36%0.13%0.01%0.12%80.105%
OSQTH9.00%2.25%0.16%2.09%0.11%0.01%0.10%80.084%
RBN73.39%18.35%10.37%7.98%0.92%0.66%0.26%81.160%
SHIB7.87%1.97%0.12%1.85%0.10%0.01%0.09%80.065%
MKR0.00%0.00%0.00%0.00%0.00%0.00%0.00%79.933%
CVX43.47%10.87%3.64%7.23%0.54%0.23%0.31%80.660%
PERP74.78%18.70%10.76%7.93%0.93%0.69%0.25%81.184%
AXS0.00%0.00%0.00%0.00%0.00%0.00%0.00%79.933%

As can be seen, the trade-off is that if borrow APYs are matched, the utilisation rises to about 80%. However, given the current market conditions and lower demand for leveraging up and $EUL liquidity mining (as can also be seen on Aave and Compound), itโ€™s unlikely utilisation will persistently spike to unsustainable levels.

Even if the market appetite for leverage massively increased over a short period of time, we can quickly propose more conservative kink models. At this point in the market, however, I think itโ€™s important Euler shows competitive interest rates with low spreads.

Conclusion

Lower RF and lower Kink IR will cause lower interest rates and tighter spreads between Borrow and Lending APYs, hence making Euler much more attractive for borrowing. The possible negative consequence is increase in average utilisation, which increases liquidity risk.

Given the current market conditions, itโ€™s unlikely weโ€™ll see spikes in utilisation. Hence we think itโ€™s appropriate to prioritise the tightening of spreads.

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0
Votes 540
VoterCast PowerVote & Rationale
0x2C87...b0bB5f
25,746

No

0xeD95...efe33F
4,985

Yes

0xf69E...cef07b
2,962

No

0x297b...4dFC1F
1,032

Yes

0xc661...693de2
752

Yes

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Proposal Status
  • Thu July 14 2022, 08:00 amVoting Period Starts
  • Wed July 20 2022, 08:00 amEnd Voting Period
Current Results

1-No

32,252.437

63.44%

2-Yes

18,590.582

36.56%
Quorum 50,843.019/1,000
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