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...

The global financial crisis and the ensuing criticism of macroeconomics have inspired researchers to explore new modeling approaches. There are many new models that deliver improved estimates of the transmission of macroeconomic policies and aim to better integrate the financial sector in...

We use a microfounded dynamic stochastic general equilibrium (DSGE) model with banks to study interactions between monetary and macroprudential policies in a small open economy. The model is calibrated/estimated for Korea. Cooperation of monetary and macroprudential policies is optimal under a...