We introduce a new dynamic clustering method for multivariate panel data char- acterized by time-variation in cluster locations and shapes, cluster compositions, and, possibly, the number of clusters. To avoid overly frequent cluster switching (flickering), we extend standard cross-sectional...

In this study we apply cluster analysis techniques, including a novel smoothing method, to detect some basic patterns and trends in the euro area banking sector in terms of the degree of homogeneity of countries. We find that in the period 1998-2004 the banking sectors in the euro area countries...

In this study we combine clustering techniques with a moving window algorithm in order to filter financial market data outliers. We apply the algorithm to a set of financial market data which consists of 25 series selected from a larger dataset using a cluster analysis technique taking into...

The paper identifies the business models followed by banks in the euro area, utilising a proprietary dataset collected in the context of the supervisory reporting of the Single Supervisory Mechanism. The concept of a 'business model' has been neglected by economic theory and is defined here with...

This paper empirically investigates the effect of the EU-South Korea free trade agreement (FTA) on manufacturing trade flows. By applying a state-of-the-art structural gravity model with intranational (i.e., domestic) trade and using disaggregated data, we quantify both the trade impact and the...

The paper examines over seventy episodes of current account adjustment in industrial and major emerging market economies. It argues that these episodes were characterised by strongly divergent economic developments. To reduce this divergence, the paper classifies episodes with similar...

This paper attempts at characterising South Korean monetary policy in the period of explicit inflation targeting started in 1999. We explain Korean interest rates in relation to an estimated macro-model, assuming that monetary policy is set optimally. This allows us to obtain the central bank's...

We study a model of financial intermediation, payment choice, and privacy in the digital economy. Cash preserves anonymity but cannot be used for more efficient online transactions. By contrast, bank deposits can be used online but do not preserve anonymity. Banks use the information contained...

We propose a dynamic clustering model for uncovering latent time-varying group structures in multivariate panel data. The model is dynamic in three ways. First, the cluster location and scale matrices are time-varying to track gradual changes in cluster characteristics over time. Second, all...

This paper investigates the in inflationary effects of fscal policy in an optimizing general equilibrium monetary model with capital accumulation, exible prices and wealth effects. The model is calibrated to Euro Area quarterly data. Simulation results show that government defcits, high debt...