Collateral Standards
Collateral inclusion at Markov Labs is governed by a rigorous evaluation framework designed to ensure that only assets meeting strict risk and infrastructure requirements are integrated into vault strategies. This process combines market-level and protocol-level analysis, allowing for a comprehensive understanding of both the asset’s behavior and the system in which it operates.
By applying this dual-layer approach, Markov Labs ensures that collateral is not only attractive from a yield perspective, but also resilient under stress and supported by robust underlying infrastructure.
Market-Level Factors
Market-level analysis focuses on the behavior and tradability of the asset itself, ensuring that positions can be managed effectively under both normal and adverse conditions.
Liquidity: Liquidity is assessed across both primary and secondary markets, including lending venues, decentralized exchanges, and redemption pathways. The objective is to ensure sufficient depth to support large transactions, particularly during liquidations, without incurring excessive slippage or market impact.
Price Dynamics: Assets are evaluated based on volatility, correlation to broader markets, and susceptibility to sharp price movements. Understanding these dynamics helps anticipate how collateral values may fluctuate and how those changes impact vault exposure and liquidation risk.
Parameterization: Risk parameters such as Loan-to-Liquidation Value (LLTV), supply caps, and allocation limits are calibrated based on the asset’s characteristics. These parameters are designed to align with the asset’s risk profile, ensuring that exposure remains controlled as market conditions evolve.
Liquidation Dynamics: The efficiency and reliability of liquidation mechanisms are critical. This includes verifying the presence of active liquidators, ensuring viable unwind pathways, and confirming that collateral can be converted into repayment assets quickly and efficiently during stress events.
Protocol-Level Factors
Protocol-level analysis evaluates the infrastructure and governance supporting the collateral, ensuring that risks are not introduced through the underlying system.
Governance: Preference is given to protocols with decentralized governance structures and transparent decision-making processes. The presence of timelocks is particularly important, as it allows time to react to parameter changes or upgrades before they are executed.
Transparency: Protocols must provide clear visibility into their financial and operational state. This includes proof of reserves where applicable, consistent reporting, and accessible on-chain data that enables continuous monitoring of risk.
Smart Contract Risk: The security of the protocol’s codebase is carefully evaluated through audit history, security practices, and overall design robustness. Protocols with multiple audits, active bug bounty programs, and strong development standards are preferred to minimize the risk of exploits or unexpected failures.
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