The work studies the processes of growth of the world top 150 pharmaceutical firms, on the grounds of an original database which allows also disaggregate analysis at the level of single therapeutical classes and chemical entities.Our findings show that the industry -whose long-term evolution is...

This paper proposes a new forecasting method that exploits information from a largepanel of time series. The method is based on the generalized dynamic factor model proposedin Forni, Hallin, Lippi, and Reichlin (2000), and takes advantage of the information onthe dynamic covariance structure of...

In many important textbooks the formal statement of the Spectral RepresentationTheorem is followed by a process version, usually informal, stating thatany stationary stochastic process g is the limit in quadratic mean of asequence of processes, each consisting of a finite sum of...

The work studies the processes of growth of the world top 150 pharmaceutical firms, on the grounds of an original database which allows also disaggregate analysis at the level of single therapeutical classes and chemical entities.Our findings show that the industry -whose long-term evolution is...

This paper uses a dynamic factor model recently studied by Forni, Hallin, Lippi and Reichlin (2000) to analyze the response of 21 U.S. interest rates to news. Using daily data, we find that the news that affects interest rates daily can be summarized by two common factors. This finding is robust...