We develop an operational model of information contagion and show how it may be integrated into a mainstream, top-down, stress-testing framework to quantify systemic risk. The key transmission mechanism is a two-way interaction between the beliefs of secondary market investors and the...

This paper develops an analytical model of contagion in financial networks with arbitrary structure. We explore how the probability and potential impact of contagion is influenced by aggregate and idiosyncratic shocks, changes in network structure, and asset market liquidity. Our findings...

The breakdown of short-term funding markets was a key feature of the global financial crisis of 2007/8. Combining insights from the literature on global games and network growth, we develop a simple model that sheds light on how network topology interacts with the funding structure of financial...

We examine the role of macroeconomic fluctuations, asset market liquidity, and network structure in determining contagion and aggregate losses in a financial system. Systemic instability is explored in a financial network comprising three distinct, but interconnected, sets of agents - domestic...

We develop an operational model of information contagion and show how it may be integrated into a mainstream, top-down, stress-testing framework to quantify systemic risk. The key transmission mechanism is a two-way interaction between the beliefs of secondary market investors and the...