[Gauntlet] - Base/Optimism/Moonbeam/Moonriver Monthly Recommendations - 2024-12-13

Base

Simple Summary

A proposal to adjust 4 risk parameters:

Risk Parameter Current Value Recommended Value
USDbC Supply Cap 110,000 1
USDbC Borrow Cap 110,000 1
USDbC Collateral Factor 69% 63%
weETH Collateral Factor 74% 78%

*Cap Recommendations will be implemented via Guardian

IR Parameters

A proposal to adjust IR parameters for USDC, EURC and cbBTC:

USDC IR Parameters Current Recommended
Base 0 0
Kink 0.9 0.9
Multiplier 0.056 0.061
Jump Multiplier 9 9
EURC IR Parameters Current Recommended
Base 0 0
Kink 0.9 0.9
Multiplier 0.056 0.061
Jump Multiplier 9 9
cbBTC IR Parameters Current Recommended
Base 0 0
Kink 0.6 0.35
Multiplier 0.067 0.045
Jump Multiplier 3 2

Rationale

Risk Parameters

The proposal outlines a series of parameter adjustments aimed at recalibrating collateral and interest rate risk within the protocol’s assets —USDbC, weETH, USDC, EURC, and cbBTC. On the risk side, USDbC’s collateral factor is reduced and its supply/borrow caps are effectively set to 1. Furthermore, weETH’s collateral factor is increased, based on supply/borrow distributions.

On the yield curve side, the interest rate parameters for USDC, EURC, and cbBTC are re-caliberated. These modifications aim to better align marginal borrowing costs with target utilization rates and aim to optimize capital efficiency.

Cap Recommendations

  • USDbC - Gauntlet recommends reducing both the supply (110,00 → 1) and borrow caps (100,000 → 1) to deprecate this market.

  • Gauntlet has enacted further cap changes as seen here via guardian prior to this proposal and therefore doesn’t include additional cap changes.

Note on rETH

The liquidity and circulating supply of rETH have shown significant growth since the previous recommendation, with DEX TVL rising from $2.65M to $4.67M. At this time, we do not propose any additional risk adjustments for rETH. However, we will continue to monitor market dynamics closely and adjust rETH’s risk parameters as necessary to align with evolving conditions.

Pool Type Pool Name Pool TVL (USD) 24H Volume (USD) URL
Balancer V2 Base rETH / WETH / rETH-WETH-BPT 0.05% $3,950,000 $2,446,022.11 Link
Uniswap V3 Base rETH / WETH 0.05% $420,000 $721,799.89 Link
Aerodrome Base rETH / WETH $210,000 $8,456.98 Link
Uniswap V3 Base cbETH / rETH 0.05% $40,000 $36,886.23 Link
Uniswap V3 Base IMO / rETH 1% $30,000 $1,249.24 Link
Aerodrome Base rETH / WETH $20,000 $20.19 Link

Total TVL: $4.67 million

Collateral Factors (CF)

We recommend continuing incremental adjustments to the collateral factors for USDbC from 69% to 63%. The reduction in Collateral Factor will not force existing positions to be liquidated.

weETH

Gauntlet’s simulation methodology exhausts a variety of market risk scenarios against current and projected user profiles and behaviors. We aim to set values per asset that minimize the expected insolvency loss across such scenarios while continuing to provide a high degree of capital efficiency and sufficient growth prospects for the protocol. Per our analysis, we recommend the following changes to the parameters for weETH: LT 0.74 → 0.78

The largest positions in weETH are predominantly recursive, with 6 out of the top 10 positions borrowing WETH using weETH as collateral. Notably, the largest single position accounts for 50% of the total weETH supply. The recommended Collateral Factors incorporate sufficient buffers to withstand substantial price drawdowns against the dollar, ensuring the protocol’s resilience even in volatile market conditions.

IR Parameters

USDC IR Parameters

Gauntlet recommends a modest increase in borrowing APRs by an additional ~50bps for stablecoins to align with market conditions, especially considering the Sky Savings Rate (SSR) is currently set at 12.5%. This adjustment ensures competitive borrowing rates while maintaining the protocol’s ability to attract liquidity. However, we are avoiding a significant increase to remain responsive to evolving macroeconomic interest rate trends. This measured approach allows us to balance incentivizing borrowing demand with maintaining healthy utilization and rate stability across the platform.

Recommended USDC IR Curve

Projected APRs for USDC

Utilization Borrow APR Supply APR
0 0 0
kink 5.49 4.44
100 95 85.54

Current APRs for USDC

Utilization Borrow APR Supply APR
0 0 0
kink 5.04 4.08
100 95 85.54

EURC IR Parameters

Projected APRs for EURC

Utilization Borrow APR Supply APR
0 0 0
kink 5.49 4.44
100 95.5 85.9

Current APRs for EURC

Utilization Borrow APR Supply APR
0 0 0
kink 5.04 4.08
100 95 85.54

cbBTC IR Parameters

Utilization for cbBTC has continued to decline despite prior adjustments, indicating persistently low borrowing demand. To address this, Gauntlet recommends further reducing both the borrow APR and the kink level. Lowering the borrow APR from 4% to 1.57% would make borrowing cbBTC more attractive, enhancing competitive positioning and potentially driving incremental demand. Additionally, reducing the kink level will align the interest rate curve more closely with the current market conditions, optimizing incentives for borrowers while reducing overexposure to underutilized capital. These changes aim to stimulate utilization and improve the efficiency of capital deployment for cbBTC.

Recommended cbBTC IR Curve

Projected APRs for cbBTC

Utilization Borrow APR Supply APR
0 0 0
kink 1.57 0.49
100 131.5 118.4

Current APRs for cbBTC

Utilization Borrow APR Supply APR
0 0 0
kink 4 2.17
100 124 111.61

Optimism

Simple Summary

A proposal to adjust 4 risk parameter:

Risk Parameter Current Value Recommended Value
WBTC Collateral Factor 50% 10%
WBTC Supply Cap 1 0.0001
WBTC Borrow Cap 0.1 0.0001
WETH Supply Cap 10,000 12,000

IR Parameters

A proposal to adjust IR parameters for USDC, USDT,and DAI

USDC IR Parameters Current Recommended
Base 0 0
Kink 0.9 0.9
Multiplier 0.056 0.061
Jump Multiplier 9 9
USDT IR Parameters Current Recommended
Base 0 0
Kink 0.9 0.9
Multiplier 0.056 0.061
Jump Multiplier 9 9
DAI IR Parameters Current Recommended
Base 0 0
Kink 0.9 0.9
Multiplier 0.056 0.061
Jump Multiplier 9 9

Rationale

Supply and Borrow Caps

  • WETH - In accordance with Gauntlet’s methodology for managing parameters, we propose scaling up the supply caps (10,000 → 12,000) for WETH. Currently, 7 of the top 10 positions are recursive, while the remainder are supply-only or are borrowing USDC against their collateral.

WBTC Deprecation

Post increasing Reserve Factor to 100%, we propose reducing the collateral factor (CF) from 50% to 10% to significantly mitigate systemic risk. Additionally, we recommend setting supply caps at 0.0001 WBTC and borrow caps at 0.0001 WBTC. These adjustments are designed to minimize the protocol’s exposure and ultimately depcreate WBTC. The below position will have an HF of 1.08 post the CF changes, and therefore will not be liquidated.

User Address Total Supply Balance (USD) Total Borrow Balance (USD) Initial Borrow Usage New Borrow Usage Initial Health Factor New Health Factor % Closer to Liquidation
0x7ff72a5082cde8c7c31c4e8a17bea2606735eb76 $17.3k $5.3k 49.91% 92.3% 2.004 1.083 84.63%

IR Parameters

USDC, DAI and USDT

For the same reasons cited in the Base market, we recommend increasing the borrow APR at kink by an additional 50bps to mirror demand for leverage.

Recommended USDC, DAI and USDT IR Curve

Projected APRs for USDC, DAI and USDT

Utilization Borrow APR Supply APR
0 0 0
kink 5.49 4.44
100 95.5 85.9

Current APRs for USDC, DAI and USDT

Utilization Borrow APR Supply APR
0 0 0
kink 5.04 4.08
100 95 85.54

Moonbeam

Simple Summary

A proposal to adjust 6 total risk parameters:

Parameter Current Value Recommended Value
WBTC.wh Borrow Cap 0.5 0.1
USDC.wh Collateral Factor 42% 39%
WETH.wh Collateral Factor 38% 33%
WBTC.wh Collateral Factor 15% 14%
xcDOT Reserve Factor 35% 50%
WGLMR Reserve Factor 35% 50%

Rationale

Risk Parameters

Collateral Factor

We continue recommending a reduction in Collateral Factors across all Wormhole assets i.e. USDC.wh (42% → 39%), WETH.wh(38% → 33%), WBTC.wh (15% → 14%). The proposed reduction in CFs will not trigger any liquidations. However we would like to flag to the community on certain positions that are at-risk of liquidation.

User Address Total Supply Balance (USD) Total Borrow Balance (USD) Initial Borrow Usage New Borrow Usage Initial Health Factor New Health Factor % Closer to Liquidation
0x00f18ccb682d2b6b935a3bbd3f1d237d263e05c0 $189.5k $67.2k 86.13% 93.96% 1.161 1.064 56.45%
0xece792e16f847add756d2c421801ff82999d2333 $26.9k $10.2k 89.03% 95.55% 1.123 1.047 59.43%
0x5b1419e3b2ab4f55178c14b7d1d5326d9fcb5dec $19.8k $8.7k 92.22% 96.6% 1.084 1.035 56.3%
0x95922a5ffc70d272b87cd5d44e134df1aa331cd9 $48.1k $7.7k 92.9% 98.33% 1.076 1.017 76.48%

Reserve Factor

xcDOT Supplies vs DEX Liquidity

WGLMR Supplies vs DEX Liquidity

The supplies of xcDOT and WGLMR have notionally increased on Moonwell; however, the current notional supply of these assets on Moonwell is disproportionate to the available market liquidity. While supplier positions maintain a Health Factor above 1, we recommend increasing the Reserve Factor for these assets to mitigate risks associated with fluctuations in DEX liquidity. This approach would achieve two key objectives:

  • Enhance reserve accumulation to safeguard against potential insolvencies.
  • Lower supply APRs, thereby reducing exposure to these assets. The proposed Reserve Factor adjustment would lead to an estimated 23% reduction in supply APRs for both WGLMR and xcDOT

Moonriver

Gauntlet does not recommend any risk parameters for the Moonriver market at this time.

Risk Dashboard

The community should use Gauntlet’s Moonwell Base Risk Dashboard to better understand the updated parameter suggestions and general market risk in Moonwell BASE.

Quick Links

Please click below to learn about our methodologies:

Gauntlet Parameter Recommendation MethodologyGauntlet Model Methodology

By approving this proposal, you agree that any services provided by Gauntlet shall be governed by the terms of service available at gauntlet.network/tos.

Methodology

This set of parameter updates seeks to maintain the overall risk tolerance of the protocol while making risk trade-offs between specific assets.

Gauntlet’s parameter recommendations are driven by an optimization function that balances 3 core metrics: insolvencies, liquidations, and borrow usage. Parameter recommendations seek to optimize for this objective function. Our agent-based simulations use a wide array of varied input data that changes on a daily basis (including but not limited to asset volatility, asset correlation, asset collateral usage, DEX / CEX liquidity, trading volume, expected market impact of trades, and liquidator behavior). Gauntlet’s simulations tease out complex relationships between these inputs that cannot be simply expressed as heuristics. As such, the input metrics we show below can help understand why some of the param recs have been made but should not be taken as the only reason for recommendation. To learn more about our methodologies, please see the Helpful Links section at the bottom.

2 Likes

Hi all, Boardroom here with a proposal summary.

The main themes for this month’s recommendations are (1) USDbC deprecation on Base, (2) WBTC deprecation on Optimism, and (3) reduced exposure to Wormhole-wrapped assets on Moonbeam. For the first, the borrow and supply caps were both set to 1; for the second, the reserve factor had already been set to 100%. This month, the collateral factor was significantly reduced while both borrow and supply caps were set to 0.0001. For the third, a reduced collateral factor means that the maximum amount that can be borrowed against Wormhole assets is proportionally lower than last month. For definitions of these risk parameters and an explanation of how they work, see our previous summary.