This document discusses using collateral data like vehicle values to enhance risk-based auto loan pricing. It notes that traditionally, maximum loan-to-value (LTV) amounts are determined by credit tier, vehicle year, and mileage, but vehicle values can vary significantly within those categories. Two examples show how different vehicles with the same loan terms achieve a positive equity position at different times. The document advocates appending collateral value data from sources like Black Book to improve pricing, collections strategies, refinancing decisions, and portfolio analytics. It provides an example of how this data can be integrated and displayed within a loan origination system like defi.