Credit boom detection methodologies (such as threshold method) lack robustness as they are based on univariate detrending analysis and resort to ratios of credit to real activity. I propose a quantitative indicator to detect atypical behavior of credit from a multivariate system - a monetary...

This paper investigates the risk channel of monetary policy on the asset side of banks' balance sheets. We use a factoraugmented vector autoregression (FAVAR) model to show that aggregate lending standards of U.S. banks, such as their collateral requirements for firms, are significantly loosened...

This paper investigates the risk channel of monetary policy on the asset side of banks' balance sheets. We use a factoraugmented vector autoregression (FAVAR) model to show that aggregate lending standards of U.S. banks, such as their collateral requirements for firms, are significantly loosened...

This paper investigates the risk-taking channel of monetary policy on the asset side of banks' balance sheets. We use a factor-augmented vector autoregression (FAVAR) model to show that aggregate lending standards of U.S. banks, e.g. their collateral requirements for firms, are significantly...

This paper investigates the risk channel of monetary policy through banks' lending standards. We modify the classic costly state verification (CSV) problem by introducing a risk-neutral monopolistic bank, which maximizes profits subject to borrower participation. While the bank can diversify...