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forecasting performance of the various models for a set of US macroeconomic and financial indicators. Our results suggest that …
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This study proposes an alternative, fully probabilistic approach to combining model-based forecasts with surveys or other judgmental forecasts. This approach allows data to determine how informative survey forecasts are regarding the data-generating process by probabilistically exploiting...
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Prediction markets for future events are increasingly common and they often trade several contracts for the same event. This paper considers the distribution of a normative risk-neutral trader who, given any portfolio of contracts traded on the event, would choose not to reallocate that...
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variables in the model, rather than just on future paths as it is usually done in the conditional forecasting literature. The … forecasting densities of a BVAR and a DSGE model on information about the marginal densities of future oil prices. The results …-inflation over the considered forecasting horizon. Finally, a real-time forecasting exercise yields that introducing market …
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