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series forecasting. We consider both linear and nonlinear alternatives. Among the linear methods we pay special attention to …
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forecasting the return on investment (ROI). We also attempt to compare machine learning methods including the quantile regression … model with movie performance data in terms of in-sample and out of sample forecasting. …
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This paper analyses the forecasting performance of monetary policy reaction functions using U.S. Federal Reserve … forecasting purposes. Overall, evidence suggests that U.S. monetary policy behaviour between1987-2012 is nonlinear. …
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