This paper studies the role of the Federal Reserve's policy in the recent boom and bust of the housing market, and in the ensuing recession. By estimating a Structural Dynamic Factor model on a panel of 109 US quarterly variables from 1982 to 2010, we find that, although the Federal Reserve's...

We investigate the possible existence of asymmetries among Euro Area countries reactions to the European Central Bank monetary policy. Our analysis is based on a Structural Dynamic Factor model estimated on a large panel of Euro Area quarterly variables. We find that, despite the single monetary...

In this paper we investigate whether accounting for non-pervasive shocks improves the forecast of a factor model. We compare four models on a large panel of US quarterly data: factor models, factor models estimated on selected variables, Bayesian shrinkage, and factor models together with...

In this paper we propose to exploit the heterogeneity of forecasts produced by different model specifications to measure forecast uncertainty. Our approach is simple and intuitive.It consists in selecting all the models that outperform some benchmark model, and then to construct an empirical...

We produce predictions of Norwegian GDP. To this end, we estimate a Bayesian Dynamic Factor model on a panel of 14 variables (all followed closely by market operators) ranging from 1990 to 2011. By means of a pseudo real-time exercise we show that the Bayesian Dynamic Factor Model performs well...

We introduce an approximate dynamic factor model for modeling and forecasting large panels of realized volatilities. Since the model is estimated by means of principal components and low dimensional maximum likelihood, it does not suffer from the curse of dimensionality. We apply the model to a...

To measure the systemic risk in financial markets, and rank systemically important financial institutions (SIFIs), we propose a methodology based on the Google PageRank algorithm. We understand the economic system as interconnected risk shocks of firms in both the financial sector and the real...

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...

We use a dynamic factor model to disentangle changes in prices due to economy-wide (common) shocks, from changes in prices due to idiosyncratic shocks. Using 146 disaggregated individual price series from the U.S. PCE price index, we find that most of the fluctuations in core PCE prices observed...

This work estimates the effect that fluctuations in oil prices have on changes in consumer prices in both the United States and the euro area. For many of the basic items in the basket of goods used to estimate inflation, the effects of oil price trends are divided into two components: the first...