This paper presents a structural dynamic factor model of a small commodity-exporting economy using Canada as a representative case study. Combining large panel data sets of the global and Canadian economies, we first identify those demand and supply shocks that explain most of the volatility in...

This paper considers forecast combination with factor-augmented regression. In this framework, a large number of forecasting models are available, varying by the choice of factors and the number of lags. We investigate forecast combination across models using weights that minimize the Mallows...

We propose a new conditionally heteroskedastic factor model, the GICA-GARCH model, which combines independent component analysis (ICA) and multivariate GARCH (MGARCH) models. This model assumes that the data are generated by a set of underlying independent components (ICs) that capture the...

We analyze a panel of output series for India, disaggregated by 15 states and 14 broad industry groups. Using principal components (Bai, 2004; Bai and Ng, 2004) we find that a single common “V-factor” captures well the significant shift in the cross-sectional distribution of state-sectoral...

Using a database of Euro-denominated government bonds covering the period from January 2000 to December 2010, this paper provides an empirical analysis of the determinants of government credit spreads in the Euro-area. The analysis is divided into two sub-periods delimited by the global...

This paper employs concepts from information theory for choosing the dimension of a data set. We propose a relative information measure connected to Kullback–Leibler numbers. By ordering the series of the data set according to the measure, we are able to obtain a subset of a data set that is...

We propose an approach for pricing and hedging weather derivatives based on including forward looking information about the temperature available to the market. This is achieved by modeling temperature forecasts by a finite dimensional factor model. Temperature dynamics are then inferred in the...