How do banks facilitate creative destruction and shape firm turnover? We develop a dynamic general equilibrium model of bank credit reallocation with endogenous firm entry and exit that allows for both theoretical and quantitative analysis. By restructuring loans to firms with poor prospects and...

How do banks facilitate creative destruction and shape firm turnover? We develop a dynamic general equilibrium model of bank credit reallocation with endogenous firm entry and exit that allows for both theoretical and quantitative analysis. By restructuring loans to firms with poor prospects and...

How do banks facilitate creative destruction and shape firm turnover? We develop a dynamic general equilibrium model of bank credit reallocation with endogenous firm entry and exit that allows for both theoretical and quantitative analysis. By restructuring loans to firms with poor prospects and...

The global financial crisis and stiff market competition enhance risk exposures that raise debate on the cost of financial intermediation and the supremacy of banks' efficiency. This study examines the concurrent effects of bank risk, efficiency and cost of financial intermediation of...

Short-term financing, e.g., asset-backed commercial paper (ABCP) or repurchase agreements (repo), was prevalent prior to the 2007-2008 financial crises. Banks funded by short-term debts, however, are exposed to rollover risk as the banks are unable to raise sufficient funds to finance their...

The ability to predict bank failure has become much more important since the mortgage foreclosure crisis began in 2007. The model proposed in this study uses proxies for the regulatory standards embodied in the so-called CAMELS rating system, as well as several local or national economic...

In this paper, we compare the performance of two non-parametric methods of classification, Regression Trees (CART) and the newly Multivariate Adaptive Regression Splines (MARS) models, in forecasting bankruptcy. Models are implemented on a large universe of US banks over a complete market cycle...

This paper proposes a framework for deriving early-warning models with optimal out-of-sample forecasting properties and applies it to predicting distress in European banks. The main contributions of the paper are threefold. First, the paper introduces a conceptual framework to guide the process...

This paper presents a novel approach to investigate and model the network of euro area banks' large exposures within the global banking system. Drawing on a unique dataset, the paper documents the degree of interconnectedness and systemic risk of the euro area banking system based on bilateral...