This paper studies the risk management of central counterparties (CCPs) using a granular transaction-level dataset. We test whether margining practices are sufficient relative to portfolio risk and whether CCPs reduce margin requirements in a ‟race-to-the-bottom." We find that, for some...

This paper derives indicators of the severity and structure of banking system risk from asymptotic interdependencies between banks%u2019 equity prices. We use new tools available from multivariate extreme value theory to estimate individual banks%u2019 exposure to each other (%u201Ccontagion...

Discussions of financial risk often fail to distinguish between risks that are consciously borne and those that are not. To understand the breeding conditions for financial crises the prime focus of concern should not be simply on large risk-taking per se, but on the unintended, or unanticipated...

This paper contributes to the economics of financial institutions risk management by exploring how loan securitization affects their default risk, their systematic risk, and their stock prices. In a typical CDO transaction a bank retains through a first loss piece a very high proportion of the...

In this paper we argue that risk-adjustment matters for the valuation of financial distress costs, since financial distress is more likely to happen in bad times. Systematic distress risk implies that the risk-adjusted probability of financial distress is larger than the historical probability....

Using account level credit-card data from six major commercial banks from January 2009 to December 2013, we apply machine-learning techniques to combined consumer-tradeline, credit-bureau, and macroeconomic variables to predict delinquency. In addition to providing accurate measures of loss...

Mutual fund risk-taking via active portfolio rebalancing varies both in the crosssection and over time. In this paper, I show that the same is true for funds' off- balance sheet risk-taking, even after controlling for on-balance sheet activities. For this purpose, I propose a novel measure of...

Using variance decompositions in vector auto-regressions (VARs) we model a high-dimensional network of European CDS spreads to assess the transmission of credit risk to the non-financial corporate sector. Our findings suggest a sectoral clustering in the CDS network, where financial institutions...

Using variance decompositions in vector auto-regressions (VARs) we model a high-dimensional network of European CDS spreads to assess the transmission of credit risk to the non-financial corporate sector. Our findings suggest a sectoral clustering in the CDS network, where financial institutions...