Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
In this paper, we explore a novel dataset of daily credit default swap (CDS) positions cleared by the largest CDS clearinghouse along with posted margins to study how collateral varies with portfolio risks and market conditions. Contrary to many theoretical models, where collateral constraints follow Value-at-Risk rules, we find strong evidence that collateral requirements are set an order of magnitude larger than what Value-at-Risk rules imply. The panel variation in collateralization rates is well captured by measures of extreme tail risks. We develop a model of endogenous collateral, which explains the conservativeness of collateral levels through disagreement about extreme states.