In the euro area, monetary policy is conducted by a single central bank for 19 member countries. However, countries are heterogeneous in their economic development, including their inflation rates. This paper combines a New Keynesian model and a neural network to assess whether the European...

In the euro area, monetary policy is conducted by a single central bank for 20 member countries. However, countries are heterogeneous in their economic development, including their inflation rates. This paper combines a New Keynesian model and a neural network to assess whether the European...

This paper examines estimated forward-looking interest rate rules as a tool for measuring and forecasting monetary policy. Estimation and forecasting results are presented referring to the U.S. monetary policy. Provided that an accurate set of imputs is used, such simple rules prove very helpful...

Most economic time series indicate non-normality in the form of either occasional big shocks or marked changes in the level of the series. In this paper, a univariate state-space model with infinite variance symmetric stable shocks is used to model the U.S. inflation rate via the...

We examine the effects of collateral provision as a potential channel between funding liquidity tensions and the scarcity of market liquidity. This channel consists in transferring the credit risk associated with refinancing operations between financial institutions to market participants that...

Central banks regularly monitor select financial and macroeconomic variables in order to obtain early indication of the impact of monetary policies. This practice is discussed on the Federal Reserve Bank of New York website, for example, where one particular set of macroeconomic "indicators" is...

Dictionary approaches are at the forefront of current techniques for quantifying central bank communication. This paper proposes embeddings - a language model trained using machine learning techniques - to locate words and documents in a multidimensional vector space. To accomplish this, we...

Dictionary approaches are at the forefront of current techniques for quantifying central bank communication. This paper proposes embeddings - a language model trained using machine learning techniques - to locate words and documents in a multidimensional vector space. To accomplish this, we...

Central bank intervention in the form of quantitative easing (QE) during times of low interest rates is a controversial topic. This paper introduces a novel approach to study the effectiveness of such unconventional measures. Using U.S. data on six key financial and macroeconomic variables...