In this paper we explore the performance of bridge and factor models in forecasting quarterly aggregates in the very short-term subject to a pre-selection of monthly indicators. Starting from a large information set, we select a subset of targeted predictors using data reduction techniques as in...

An important element of the macro-prudential analysis is the study of the link between business cycle fluctuations and banking sector profitability and how this link is affected by institutional and structural characteristics. This work estimates a set of equations for net interest income,...

This paper proposes the use of Bayesian model averaging (BMA) as a tool to select the predictors' set for bridge models. BMA is a computationally feasible method that allows us to explore the model space even in the presence of a large set of candidate predictors. We test the performance of BMA...

This paper investigates how bank profitability is affected by corporate income tax (CIT) using aggregate data on the banking sector of the main industrialized countries for the period 1981-2003. Two main novelties emerge with respect to the existing literature. First, the paper explicitly...