The amount of credit in the economy is a heterogeneous aggregate that can be analyzed across different dimensions. Considering such dimensions provides insights into the effect of monetary policy interventions because the credit components are observed to respond differently. Several possible...

We study loans from banking and non-banking lenders to different groups of borrowers in order to unveil significant differences on how those respond to a shock and evaluate possible alternative explanations for such differences. The objective is to gain insights useful to explain the loan...

We study loans from banking and non-banking lenders to different groups of borrowers in order to unveil significant differences on how those respond to a shock and evaluate possible alternative explanations for such differences. The objective is to gain insights useful to explain the loan...

The amount of credit in the economy is a heterogeneous aggregate that can be analyzed across different dimensions. Considering such dimensions provides insights into the effect of monetary policy interventions because the credit components are observed to respond differently. Several possible...

We study the contribution of loans, granted to different borrower groups, to economic activity in the USA over the period 1971q1-2018q4. Significant economic recessions occurred along the period considered, we center our discussion around the recent Global Financial Crisis. Results are delivered...

The amount of assets managed by non-bank lenders has increased significantly over the last decades. Our research aims to clarify whether such an increase has had any impact on the effectiveness of monetary policy. To this end, we consider several credit aggregates granted from bank and non-bank...

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...

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 role of credit demand and supply shocks in driving the weakness in UK banks' lending and economic activity during both the recent financial crisis and the various UK financial crises since 1966. It uses a structural vector autoregression analysis to identify separate...

Using Hungarian macroeconomic and financial data, we estimate a Bayesian structural VAR model suitable for macroprudential simulations. We identify standard macroeconomic and credit supply shocks by sign and zero restrictions. In contrast to the previous literature, different types of credit...