This chapter develops a unified framework for the study of how network interactions can function as a mechanism for propagation and amplification of microeconomic shocks. The framework nests various classes of games over networks, models of macroeconomic risk originating from microeconomic...

We use LASSO methods to shrink, select and estimate the high-dimensional 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...

This article evaluates a large collection of systemic risk measures based on their ability to predict macroeconomic downturns. We evaluate 19 measures of systemic risk in the US and Europe spanning several decades. We propose dimension reduction estimators for constructing systemic risk indexes...

Economic theories posit that bank liability insurance is designed as serving the public interest by mitigating systemic risk in the banking system through liquidity risk reduction. Political theories see liability insurance as serving the private interests of banks, bank borrowers, and...

Are firms more resilient to systemic banking crises in economies with higher levels of social trust? Using firm-level data in 34 countries from 1990 through 2011, we find that liquidity-dependent firms in high-trust countries obtain more trade credit and suffer smaller drops in profits and...

We propose a framework for estimation of spillovers between funding costs of individual banks. The estimation proceeds in three steps: First, using data from liquidity auctions of the European Central Bank, we estimate the funding costs in a given week for each individual bank. In the second...

This paper provides an empirical analysis of the risk of trading revenues of U.S. commercial banks. We collect quarterly data on trading revenues, broken down by business line, as well as the Value at Risk-based market risk charge. The overall picture from these preliminary results is that there...

We present a model of flight to quality episodes that emphasizes financial system risk and the Knightian uncertainty surrounding these episodes. In the model, agents are uncertain about the probability distribution of shocks in markets different from theirs, treating such uncertainty as...

We employ a unique hand-collected dataset and a novel methodology to examine systemic risk before and after the largest U.S. banking crisis of the 20th century. Our systemic risk measure captures both the credit risk of an individual bank as well as a bank's position in the network. We construct...

We propose several connectedness measures built from pieces of variance decompositions, and we argue that they provide natural and insightful measures of connectedness among financial asset returns and volatilities. We also show that variance decompositions define weighted, directed networks, so...