This paper develops a novel measure of systemic risk that combines mapping technology and regression methods. Self-organizing maps (SOM) and lasso logistic regressions are employed to estimate default probabilities for individual U.S. commercial banks from 2001 to 2017. Subsequently, these...

We construct an empirical measure of expected network spillovers that arise through default cascades for the U.S. financial system for the period 2002-16. Compared to existing studies, we include a much larger cross section of U.S. financial firms that comprises all bank holding companies, all...

We analyze link between mortgage-related regulatory penalties levied on banks and the level of systemic risk in the U.S. banking industry. We employ a frequency decomposition of volatility spillovers to draw conclusions about system-wide risk transmission with short-, medium-, and long-term...

We analyze link between mortgage-related regulatory penalties levied on banks and the level of systemic risk in the U.S. banking industry. We employ a frequency decomposition of volatility spillovers (connectedness) to assess system-wide risk transmission with short-, medium-, and long-term...

The heterogeneity of the United States (U.S.) financial markets and complex regulatory and supervisory institutional setup in the United States underscore the importance of enhancing systemic risk oversight and building effective macroprudential tools. An effective framework would encompass...