Building on a new dataset on Italian banks and other financial corporations from 1861 to 2011, the novelty of this paper is to examine the patterns of the main items of bank's balance sheets, such as deposits, capital and reserves, bonds issued, bonds held in portfolio, and loans for a period of...

We present a unified and up-to-date overview of temporal aggregation techniques for univariate and multivariate time series models explaining in detail how these techniques are employed. Some empirical applications illustrate the main issues

We reinvestigate the question of whether corporate investment during the financial crisis depended to a significant extent, and differently than in the pre-crisis period, on firms' short-term liquidity and indebtedness. Using data on listed firms in the euro area and the United Kingdom, we...

We propose a regression discontinuity design which can be employed when assignment to a treatment is determined by an ordinal variable. The proposal first requires an ordered probit model for the ordinal running variable to be estimated. The estimated probability of being assigned to a treatment...

In this paper we investigate the main features of the Italian financial cycle, extracted by means of a structural trend-cycle decomposition of the credit-to-GDP ratio, using annual observations from 1861 to 2011. In order to draw conclusions based on solid historical data, we provide a thorough...

Forecasting inflation is an important and challenging task. In this paper we assume that the core inflation components evolve as a multivariate local level process. This model, which is theoretically attractive for modelling inflation dynamics, has been used only to a limited extent to date...

In this paper we present an overview of theoretical and empirical contributions exploring the inter-linkages between financial factors and real economic activity. We first revisit the main theoretical approaches that allow financial frictions to be embedded into general equilibrium models, and...

Exponential smoothing models are an important prediction tool in macroeconomics, finance and business. This paper presents the analytical forecasting properties of the random coefficient exponential smoothing model in the multiple source of error framework. The random coefficient state-space...