Risk Parameter Updates for 1 Collateral Asset
01Summary
Proposal to decrease SUSHI collateral factor from 73% to 70% on Compound V2, based on Gauntlet's risk analysis and the community's chosen Moderate risk level framework.
- Type
- parameter change
Key changes
- SUSHI collateral factor decreased from 73% to 70%(medium)
- Decrease in protocol Value at Risk (VaR) by $8.15k and SUSHI-specific VaR by 14.3%(medium)
- Decrease in overall borrow usage by 1 basis point(low)
Generated by Kvorum
02Description
Risk Parameter Updates for 1 Collateral Asset
Simple Summary
A proposal to adjust one (1) parameter for one (1) Compound V2 asset.
We recommend decreasing SUSHI collateral factor from 73% to 70%. The community has aligned on a risk off framework.
Background
Gauntlet's simulation engine has ingested the latest market and liquidity data. These recommendations are Gauntlet's regular parameter recommendations as part of Dynamic Risk Parameters and align with the Moderate risk level chosen by the Compound community.
Full proposal and forum discussion
Motivation and Specification
This set of parameter updates seeks to maintain the overall risk tolerance of the protocol while making risk trade-offs between specific assets.
Our parameter recommendations are driven by an optimization function that balances 3 core metrics: insolvencies, liquidations, and borrow usage. Our parameter recommendations seek to optimize for this objective function. For more details, please see Gauntlet's Parameter Recommendation Methodology and Gauntlet's Model Methodology.

Dashboard
Gauntlet has launched the Compound Risk Dashboard. The community should use the Dashboard to understand better the updated parameter suggestions and general market risk in Compound.
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.
These parameter changes decrease borrow usage by 1 basis point, decrease VaR by $8.15k and decrease SUSHI VaR by 14.3%

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.
03Mismatch analysis
A calldata-vs-description analysis is not generated yet. Review the decoded actions →
04Actions
- Target
- 0x3d98…cd3b
- Value
- 0 wei
- Function
- _setCollateralFactor(address,uint256)
- Arguments
{ "0": "0x4B0181102A0112A2ef11AbEE5563bb4a3176c9d7", "1": "700000000000000000" }- Calldata
05Tally
Summed from votes
06Voters
No votes recorded yet.
07Forum
- Risk Parameter Updates 2022-10-26 ↗discourse · high confidence
- Dynamic Risk Parameters ↗discourse · high confidence
Arguments for
- The parameter change aligns with the community-approved moderate risk level and 'risk off' framework for dynamic risk parameters.— pauljlei
- Simulation data shows the change decreases SUSHI-specific Value at Risk by 14.3% while decreasing overall VaR by $8.15k, improving risk management.— pauljlei
- The primary SUSHI supplier has demonstrated elasticity and responsiveness to market conditions, actively managing their position without requiring liquidation.— pauljlei, ccb
- The main risk contributor (user 0x7e6f6621388047c8a481d963210b514dbd5ea1b9) has already reduced exposure from 70% to 38% borrow usage, reducing immediate risk.— pauljlei
- The key borrower 0xe84a061897afc2e7ff5fb7e3686717c528617487 has a strong credit score with no historical liquidations and access to substantial unencumbered liquidity to support their position.— ccb
Arguments against
None surfaced.
Notable participants
- pauljleiGauntlet proposer who presented the simulation analysis, methodology, and risk parameter recommendation for SUSHI collateral factor reduction.
- ccbProvided complementary credit risk analysis of key borrowers, tracking their onchain behavior and linking related accounts to assess liquidation risk.
Generated by Kvorum
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