We construct a new systemic risk measure that quantifies vulnerability to fire-sale spillovers using detailed regulatory balance sheet data for U.S. commercial banks and repo market data for broker-dealers. Even for moderate shocks in normal times, fire-sale externalities can be substantial. For...

We construct a new systemic risk measure that quantifies vulnerability to fire-sale spillovers using detailed regulatory balance sheet data for U.S. commercial banks and repo market data for broker-dealers. Even for moderate shocks in normal times, fire-sale externalities can be substantial. For...

This paper investigates a model of endogenous product differentiation in subprime lending markets. In the subprime literature the discussion surrounds two competing hypotheses about pricing behavior. The opportunity pricing hypothesis suggests that lenders are rent seeking in their pricing...

We identify and track over time the factors that make the financial system vulnerable to fire sales by constructing an index of aggregate vulnerability. The index starts increasing quickly in 2004, before most other major systemic risk measures, and triples by 2008. The fire-sale-specific...

The European Union's Capital Markets Union (CMU) is a broadly-based regulatory reforms framework that emerged from the Global Financial Crisis, the Great Recession and the Eurozone Sovereign Debt Crisis of 2008-2014. Launched in 2015, the CMU deployment date is set for 2019, although some...

This paper develops a methodology for identifying systemically important financial institutions based on that developed by the Basel Committee on Banking Supervision (2011) and used by the Financial Stability Board in its yearly G-SIBs identification. The methodology uses publicly available data...

This paper develops a methodology for identifying systemically important financial institutions based on that developed by the Basel Committee on Banking Supervision (2011) and used by the Financial Stability Board in its yearly G-SIBs identification. The methodology uses publicly available data...

This paper develops a methodology to identify systemically important financial institutions building on that developed by the BCBS (2011) and used by the Financial Stability Board in its yearly G-SIFIs identification. This methodology is based on publicly available data, providing fully...

We propose a simple network–based methodology for ranking systemically important financial institutions. We view the risks of firms –including both the financial sector and the real economy– as a network with nodes representing the volatility shocks. The metric for the connections of the...