This process defines the specific exchange rate or valuation methodology used to convert a non-native collateral asset into the base currency required to cover a derivatives liability. For crypto collateral, this often involves applying a real-time price feed adjusted by a specific haircut factor. Accurate conversion is essential for determining the true margin coverage available against an options position. Inaccurate mapping directly translates to under-collateralization risk.
Parameter
The mapping establishes the set of associated risk parameters for each collateral type, such as volatility scores or liquidity tiers, which inform the conversion rate. These parameters are not static; they must be dynamically linked to the asset’s market behavior to reflect current risk exposure. Adjusting these underlying parameters is how the system manages shifts in asset quality without changing the entire collateral acceptance list. This granular control allows for nuanced risk differentiation.
Basis
The mapping establishes the fundamental basis upon which the value of collateral is equated to the value of the derivative obligation being secured. This relationship must be rigorously defined to ensure that the collateral’s market risk profile is appropriately discounted relative to the risk of the underlying or the derivative itself. A mismatch in the basis between the collateral and the derivative exposure can create hidden pockets of unhedged risk. Understanding this equivalence is key to portfolio construction.
Meaning ⎊ BSCM is the framework for adapting the Black-Scholes model to DeFi by mapping continuous-time assumptions to discrete, on-chain risk and solvency parameters.
Meaning ⎊ The Merton Model provides a structural framework for valuing default risk by viewing a firm's equity as a call option on its assets, applicable to quantifying insolvency probability in DeFi protocols.
