Rounding Directional Bias

Rounding Directional Bias is a specific design choice in financial algorithms where calculations are intentionally rounded in a way that favors the protocol's solvency or the user's protection. For example, when calculating interest owed by a borrower, a protocol might always round up to ensure that the lender receives at least the amount due, preventing the protocol from becoming under-collateralized due to tiny losses.

Conversely, when calculating collateral value, the protocol might round down to be conservative about the user's health. This bias must be clearly defined and consistently applied across the entire system to prevent "bleeding" of value.

If the bias is not uniform, it can create arbitrage opportunities where users can exploit the rounding logic to drain the protocol's treasury. It is a critical aspect of economic design that transforms abstract math into a robust, self-sustaining financial mechanism.