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...

The aim of the paper is to estimate a reliable quarterly time-series of potential output for the Italian economy, exploiting four alternative approaches: a Bayesian unobserved component method, a univariate time-varying autoregressive model, a production function approach and a structural VAR....

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.

The paper examines the evolution of consumer confidence indices in Australia, Canada, France, Germany, Italy, Japan, the United Kingdom and the United States of America since the 1970s, by modelling them in a multivariate framework of common macroeconomic variables for each country. Results...

In this paper, we exploit the heterogeneity in the forecasts obtained by estimating different factor models to measure forecast uncertainty. Our approach is simple and intuitive. It consists first in selecting all the models that outperform some benchmark model, and then in constructing an...

This paper illustrates the seasonal adjustment procedure for bank deposits and loans, focusing on the policy for the revision of seasonally adjusted data. Seasonal adjustment is semi-automatic when the commonly used software package, TRAMO-SEATS, is used to produce seasonally adjusted series....

Information on seasonal frequencies can provide valuable insights for understanding economic fluctuations. This is particularly true for Italy, where the variability of production in manufacturing is extremely high and almost entirely due to seasonal factors. This paper identifies the...

The paper contributes to the stochastic volatility literature by developing simulation schemes for the conditional distributions of the price of long term bonds and their variability based on non-standard distributional assumptions and volatility concepts; it illustrates the potential value of...

This work examines how much of the variation in emerging market economies' (EMEs) spreads can be ascribed to 'country-specific' factors rather than to 'common' factors, once the existence of an interaction between the state of macroeconomic fundamentals and global financial conditions is...

This paper presents a unified framework to highlight possible channels for the international transmission of financial shocks. We first review the different definitions and measures of contagion used in the literature. We then use a simple multi-country asset pricing model to cast the main...