The scenario of the banking sector is articulated by the theoretical background backed up by practical evidences relying on panel data of thirty-two (32) commercial banks for the period of 2006-2016. The study addressed the problem of endogeneity, heterokedasticity and auto-correlation by...

We propose a dynamic clustering model for studying time-varying group structures in multivariate panel data. The model is dynamic in three ways: First, the cluster means and covariance matrices are time-varying to track gradual changes in cluster characteristics over time. Second, the units of...

This paper provides new evidence on the contribution of local banking to local economic growth (i.e. at county level - the Italian "province") in Italy. A comprehensive dataset is used, which includes control variables for social capital and human capital as well as indicators of the quality of...

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...

The capital structure decision plays an important role in the performance of a firm. Therefore, there have been many studies inspecting the rapport of capital structure with the performance of firms, although the findings of these studies are inconclusive. In addition, there is a relative...

The paper investigates how management board composition of banking institutions impacts their risk-taking behavior in the Czech Republic. More specifically, we examine the effect of average director age, proportion of female directors, non-national directors and proportion of their attained...