Simple Summary
A proposal to adjust five (5) total risk parameters, including Liquidation Threshold, Loan To Value, and Liquidation Bonus, across two (2) Aave V2 assets.
Abstract
This proposal is a batch update of risk parameters to align with the Moderate risk level chosen by the Aave community. These parameter updates are a continuation of Gauntlet’s regular parameter recommendations. Our simulation engine has ingested the latest market data (outlined below) to recalibrate parameters for the Aave protocol. The community has aligned on a Risk Off Framework regarding lowering liquidation thresholds.
These parameter updates also represent Gauntlet’s bi-weekly recommendations for the Aave Arc market.
Motivation
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. The individual collateral pages on the Gauntlet Risk Dashboard cover other key statistics and outputs from our simulations that can help with understanding interesting inputs and results related to our simulations.
For more details, please see Gauntlet’s Parameter Recommendation Methodology and Gauntlet’s Model Methodology.
Supporting Data on Aave V2
Top 30 borrowers’ aggregate positions & borrow usages
Top 30 borrowers’ entire supply
Top 30 borrowers’ entire borrows
Top STETH non-recursive supplies and collateralization ratios:
Top WBTC non-recursive supplies and collateralization ratios:
Aave V2 Parameter Changes Specification
Gauntlet’s simulation engine will continue to adjust risk parameters to maintain protocol market risk at safe levels while optimizing for capital efficiency.
| Parameter | Current Value | Recommended Value |
|---|---|---|
| STETH Liquidation Threshold | 81% | 83% |
| STETH Loan To Value | 69% | 72% |
| STETH Liquidation Bonus | 7.5% | 7% |
| WBTC Liquidation Threshold | 80% | 82% |
| WBTC Loan To Value | 70% | 72% |
We have ingested the most recent Aave and market data, including user positions, prices, volatility, and liquidity for all assets, including stETH, WETH, and WBTC. We then ran simulations to stress test the protocol in times of high volatility.
As shown in the dashboard screenshot below, our simulations show that Aave can increase capital efficiency while decreasing the risk of bad debt using these parameterization recommendations.
Aave Arc (Fireblocks) Parameter Changes Specification
We recommend no change to Aave Arc protocol parameterization at this time. All borrowing in the Arc lending market is recursive (namely, USDC), and thus, our models indicate no risk of insolvencies (from market risk).
Risk Dashboard
The community should use Gauntlet’s Aave V2 Risk Dashboard to understand better the updated parameter suggestions and general market risk in Aave V2. Gauntlet has also launched the Aave Arc Risk Dashboard.
Value at Risk represents the 95th percentile insolvency value that occurs from simulations we run over a range of volatilities to approximate a tail event.
Liquidations at Risk represents the 95th percentile liquidation volume that occurs from simulations we run over a range of volatilities to approximate a tail event.
Aave V2 Dashboard
Next Steps
- Initiate a Snapshot immediately since the community has recently weighed in on changes of this nature.
- Targeting an AIP on 2022-10-11
Quick Links
Analytics Dashboard
Risk Dashboard
Aave Arc Risk Dashboard
Gauntlet Parameter Recommendation Methodology
Gauntlet 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.