We put forward a Merton-type multi-factor portfolio model for assessing banks' contributions to systemic risk. This model accounts for the major drivers of banks' systemic relevance: size, default risk and correlation of banks' assets as a proxy for interconnectedness. We measure systemic risk...

CoCo's (contingent convertible capital) are designed to convert from debt to equity when banks need it most. Using a Diamond-Dybvig model cast in a global games framework, we show that while the CoCo conversion of the issuing bank may bring the bank back into compliance with capital...

We develop a model in which margin procyclicality, asset market depth and banks' propensity for liquidity hoarding interact to generate a systemic liquidity crisis. In this model, banks trade derivatives to hedge market risk or to speculate on interest rate movements. To mitigate counterparty...

We show that, in the presence of correlated investment opportunities across firms, risk sharing between firm shareholders and firm managers leads to compensation contracts that include relative performance evaluation. These contracts bias investment choices towards correlated investment...

We develop a model in which margin procyclicality and the propensity for liquidity hoarding interact to generate a systemic liquidity crisis. In this model, banks lend and borrow in the interbank market to mitigate liquidity risk and trade derivatives contracts in the OTC derivatives market to...

We study a novel mechanism through which systemic risk, in the form of self-fulfilling runs, forces the banks to hoard liquidity. To this end, we develop an environment where banks offer insurance to their depositors against both idiosyncratic and aggregate real uncertainty, by holding a...

In a banking network model, the ranking consistency of various popular systemic risk measures (SRMs) is analyzed. In contrast to previous studies, this model-based analysis offers the advantage that the sensitivity of the ranking consistency with respect to bank and network characteristics can...

We develop a theoretical model examining the financial stability policy of a central bank serving as both the lender of last resort and the regulator of the financial system. The model accommodates the possibility of financial contagion through interbank market linkages, and adverse feedback...

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

This paper uses Bayesian model averaging (BMA) techniques to examine the driving factors of equity returns of U.S. financial institutions. The main advantage of BMA is accounting for model uncertainty. For the period 1986-2010, we fi nd that the most likely model explaining banking sector...