This study analyzes systematic and non-systematic credit risk in mortgage portfolios given US loan-level information by controlling for time-varying observable information in relation to the borrower, the collateral and the macro economy. The total risk in relation to rating class default rates is decomposed into systematic and class-specic non-systematic risk by a state space model...

The paper introduces the background to, and initial analytical priorities for, the programme of research funded by CIFR Grant EO33.

To measure the systemic risk in financial markets, and rank systemically important financial institutions (SIFIs), we propose a methodology based on the Google PageRank algorithm. We understand the economic system as interconnected risk shocks of firms in both the financial sector and the real economy. By taking into account both sectors, we demonstrate the efficacy...