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The forecasting uncertainty around point macroeconomic forecasts is usually measured by the historical performance of the forecasting model, using measures such as root mean squared forecasting errors (RMSE). This measure, however, has the major drawback that it is constant over time and hence...
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modeling and simulation methods. Following the application of modeling and simulation methods in a farm resulting optimal …
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present a simulation-based approach by fusing eleven macroeconomic factors using Neural Networks (NN) to build an Economic … Factor-based Predictive Model (EFPM). Then, we combine it with Copula-GARCH simulation model and the Mean-Conditional Value …
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rank correlation analysis. The robustness of the comparison is ensured by a simulation study, which allows to address …
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