Keiko Finance
  • Introduction
  • Protocol Overview
    • KEI Stablecoin
    • Collateral Tokens
    • Vaults Overview
  • Collateral Parameters
  • TUTORIALS
    • Vault Management
      • Creating a Vault
      • Adjusting a Vault
  • Vaults Interest Model
    • Interest Rate Model
  • Redemption Mechanism
    • Redemptions Model
    • ARS Simulations
  • ADMIN POWERS
    • Immutability and Admin Powers
    • Risk Mitigations
  • KEIKO TOKEN INFORMATION
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    • TGE Allocations
  • PROTOCOL INFORMATION
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  • Key Insights
  • 100 Vaults Sample Data (simulation.py)
  • Data Visualization
  1. Redemption Mechanism

ARS Simulations

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Last updated 8 months ago

We did simulations with a big dataset of random Keiko vaults to explore the Adjusted Redemption Score (ARS), a metric that builds upon the traditional Normalized Collateral Ratio (NCR) by incorporating additional risk factors. You can run the simulations yourself and modify the parameters used by executing the 'simulations.py' python script that you can find on this github repo:

Key Insights

  1. Risk Sensitivity: The ARS provides a more sensitive measure of redemption risk. While the NCR might suggest similar risk levels for vaults with the same collateral-to-debt ratio, the ARS can differentiate based on the specific MCR requirements.

  2. System Adaptability: The MCR Component in the ARS allows the system to adapt to changing market conditions or risk preferences by adjusting how the MCR influences the overall score.

  3. Risk Distribution: The ARS creates a wider spread of risk scores compared to NCR alone. This allows for more granular risk categorization and potentially more precise liquidation or incentive mechanisms.

  4. Collateralization Incentives: By incorporating the MCR into the risk score, the ARS may encourage users to maintain higher collateralization ratios relative to their specific vault requirements, potentially increasing overall system stability.

  5. Complex Risk Factors: The ARS can potentially incorporate more complex risk factors through adjustments to the MCR Component calculation, allowing for a more sophisticated risk assessment model.

100 Vaults Sample Data (simulation.py)

With an MCR_Factor of 0.2, we obtain the following results:

  • Average Impact: 21.11%

  • Median Impact: 19.22%

  • Minimum Vault Impact: 0.97%

  • Maximum Vault Impact: 52.23%

In this context, "Impact" refers to the relative weight of the MCR (Minimum Collateralization Ratio) component in the ARS (Adjusted Redemption Score) compared to the NCR (Normalized Collateralization Ratio) component. Our current goal is to achieve an average impact of approximately 20%. Given these results, an MCR_Factor of 0.2 appears to be an appropriate choice.

This factor allows for a balanced influence of both MCR and NCR components in the ARS Score calculation, with the MCR component contributing, on average, about one-fifth of the total score.

Data Visualization

https://github.com/KeikoFinance/keiko-data
collateral_debt_ratio_vs_mcr_impact
correlation_heatmap
mcr_impact_distribution
ncr_vs_ars_impact_zoomed