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Introducing the AdaptiveCurveIRM: Efficient and Autonomous

morphomorpho2023/12/23 18:02
By:Morpho

Today, we introduce the AdaptiveCurveIRM, an immutable Interest Rate Model (IRM) designed specifically for Morpho Blue.

In Morpho Blue, the interest borrowers pay is defined by an Interest Rate Model that is chosen at market creation among a governance-approved set. At launch, this set will be composed of one immutable IRM, the AdaptiveCurveIRM.

This article delves into the rationale behind this model, its benefits and explains how it operates.

Key Characteristics

High Efficiency

The AdaptiveCurveIRM is engineered to maintain the ratio of borrowed assets over supplied assets, commonly called utilization, close to a target of 90%.

In Morpho Blue, the supply is not used as collateral. Removing this systemic risk removes the liquidity constraints imposed by liquidation needs. It enables more efficient markets with higher target utilization of capital and lower penalties for illiquidity, resulting in better rates for both lenders and borrowers.

Complete Autonomy

As with every parameter of a Morpho Blue Market, the IRM is immutable. This means that neither governance nor market creators can fine-tune it at any given time. As such, the AdaptiveCurveIRM is designed to adapt autonomously to market conditions, including changes in interest rates on other platforms and, more broadly, any shifts in supply and demand dynamics.

Its adaptability enables it to perform effectively across any asset, market, and condition, making it highly suitable for Morpho Blue's permissionless market creation.

How it works

The model can be broken down into two complementary mechanisms:

The Curve Mechanism

This mechanism is akin to the interest rate curve in traditional lending pools. It manages short-term utilization effectively, maintaining capital efficiency while avoiding excessively high utilization zones that could lead to liquidity issues.

The Adaptive Mechanism

This mechanism fine-tunes the curve over time to keep the range of rates in sync with market dynamics. It achieves this by adjusting the value of r 90 % r_{90\%} r90%, which in turn shifts the entire curve:

  • When utilization exceeds the target, the curve continuously shifts upward.

  • When utilization falls below the target, the curve continuously shifts downward.

The speed at which the curve adjusts is determined by the distance of current utilization to the target: the further it is, the faster the curve shifts.

This incremental adjustment of the curve allows for rate exploration, ultimately stabilizing when the interest rate at the utilization target aligns with the market equilibrium.

A paper that expands on the theoretical approach to IRMs, which guided these design choices, will be published in the upcoming weeks. For now, explore the code and documentation to learn more.

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Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.

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