We analyse the performance of financial market variables in nowcasting Finnish quarterly GDP growth. In particular, we … parsimonious way. We find that financial market data nowcasts Finnish GDP growth relatively well: nowcasting performance is similar … assess if prediction accuracy is affected by the sampling frequency of the financial variables. Therefore, we apply MIDAS …

We analyse the performance of financial market variables in nowcasting Finnish quarterly GDP growth. Especially, we … assess if prediction accuracy is affected by the sampling frequency of the financial variables. Therefore, we apply MIDAS … models that allow us to forecast quarterly GDP growth using monthly or daily data without temporal aggregation in a …

well as cheques that clear through the banking system, as potential indicators of current GDP growth. These variables … macroeconomic forecasting. Controlling for the release dates of each of a set of indicators, we generated nowcasts of GDP growth for …

We analyse the performance of financial market variables in nowcasting Finnish quarterly GDP growth. In particular, we … parsimonious way. We find that financial market data nowcasts Finnish GDP growth relatively well: nowcasting performance is similar … assess if prediction accuracy is affected by the sampling frequency of the financial variables. Therefore, we apply MIDAS …

This paper documents GDPNow, a "nowcasting" model for gross domestic product (GDP) growth that synthesizes the "bridge … equation" approach relating GDP subcomponents to monthly source data with the factor model approach used by Giannone, Reichlin …, and Small (2008). The GDPNow model forecasts GDP growth by aggregating 13 subcomponents that make up GDP with the chain …

that (a) regardless of the forecasting methods considered, PMIs are useful for nowcasting, but their value added diminishes …