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This paper proposes a new method of forecasting euro area quarterly real GDP that uses area-wide indicators, which are derived by optimally pooling the information contained in national indicator series. Following the ideas of predictive modeling, we construct the area-wide indicators by...
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We examine the impact of temporal and portfolio aggregation on the quality of Value-at-Risk (VaR) forecasts over a … based on asset class, or into a single portfolio. We compare the impact of aggregation to that of choosing a model for the … that the degree of temporal aggregation is most important. Daily returns form the best basis for VaR forecasts. Modelling …
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Including disaggregate variables or using information extracted from the disaggregate variables into a forecasting model for an eco- nomic aggregate may improve the forecasting accuracy. In this paper we suggest to use boosting as a method to select the disaggregate variables which are most...
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We compare direct forecasts of HICP and HICP excluding energy and food in the euro area and five member countries to aggregated forecasts of their main components from large Bayesian VARs with a shared set of predictors. We focus on conditional point and density forecasts, in line with...
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