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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. …
Persistent link: https://www.econbiz.de/10012256503
This paper presents a choice model based on a model for the behavior of brain cells that is based on neurological findings. The paper shows that it is possible to define choice as the result of a series of interconnected cellular processes, instead of framing the problem from the point of view...
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forecasting, as demonstrated by out-of-sample predictions for 2017. …
Persistent link: https://www.econbiz.de/10011897260
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN …
Persistent link: https://www.econbiz.de/10014496850
series forecasting. We consider both linear and nonlinear alternatives. Among the linear methods we pay special attention to …
Persistent link: https://www.econbiz.de/10012390030
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This paper introduces a reinforcement learning based approach to compute optimal interest rate reaction functions in terms of fulfilling inflation and output gap targets. The method is generally flexible enough to incorporate restrictions like the zero lower bound, nonlinear economy structures...
Persistent link: https://www.econbiz.de/10012792732