We estimate a large Bayesian time-varying parameter vector autoregressive (TVP-VAR) model of daily stock return volatilities for 35 U.S. and European financial institutions. Based on that model we extract a connectedness index in the spirit of Diebold and Yilmaz (2014) (DYCI). We show that the...

This paper presents an analysis of the volatility connectedness of major bank stocks in the South East Asia (SEACEN) region between 2004 and 2016. Applying the Diebold-Yilmaz Connectedness Index (DYCI) framework to daily stock return volatilities of major banks in the region, we obtain results...

This paper examines the impact of bank heterogeneity on the assessment of systemic risk in the context of the German banking sector. Precisely, it is questioned whether currently employed systemic risk indicators are able to account for banks' heterogeneity and to signal systemic risk reliably...

We evaluate the abnormal returns of issuing and non-issuing banks around the announcement of Seasoned Equity Offerings (SEOs) and explore how the market reaction is influenced by aggregate systemic conditions and by the systemic risk contribution and exposure of banks. While we find evidence of...

This paper investigates a model of strategic interactions in financial networks, where the decision by one agent on whether or not to default impacts the incentives of other agents to escape default. Agents' payoffs are determined by the clearing mechanism introduced in the seminal contribution...

This paper analyzes the contagion effects associated with the failure of Silicon Valley Bank (SVB) and identifies bank-specific vulnerabilities contributing to the subsequent declines in banks' stock returns. We find that uninsured deposits, unrealized losses in held-to-maturity securities, bank...

We use lasso methods to shrink, select and estimate the network linking the publicly-traded subset of the world's top 150 banks, 2003-2014. We characterize static network connectedness using full-sample estimation and dynamic network connectedness using rolling-window estimation. Statistically,...

We apply the Diebold-Yilmaz connectedness index methodology on sovereign credit default swaps (SCDSs) to estimate the network structure of global sovereign credit risk. In particular, using the elastic net estimation method, we separately estimate networks of daily SCDS returns and volatilities...

This study extends the Diebold-Yilmaz Connectedness Index (DYCI) methodology and, based on forecast error covariance decompositions, derives a network risk model for a portfolio of assets. As a normalized measure of the sum of variance contributions, system-wide connectedness averages out the...

This work examines the impacts which the Covid-19 pandemic brought to the stability of the European financial sector. Lockdowns, businesses unable to operate and uncertainty about how the pandemic would evolve fueled a sharp recession. From the lessons learned in the global financial crises and...