We present a simple, easy to implement methodology for pricing microfinance loans and loan guarantees using publicly available data on loan write-offs by Micro Finance Institutions (MFIs). Our methodology takes into account the selection bias inherent in available data in that MFIs that do not report loan write-off data are less likely to be better performers. Our quantitative analysis is consistent with pricing seen in a recent securitization deal. Our analysis suggests how securitization and loan guarantees can greatly expand the supply of funds for microfinance loans.