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represent nicely the two opposing forecasting philosophies. The DSGE model on the one hand has a strong theoretical economic …-horizon forecasting and structural models should be used in long-horizon forecasting. Our paper compareds both state-of-the art data …
Persistent link: https://www.econbiz.de/10012991248
forecasting euro area manufacturing production. Following Boivin and Ng (2006), the emphasis is put on the role of dataset …
Persistent link: https://www.econbiz.de/10013316542
We present a detailed bubble analysis of the Bitcoin to US Dollar price dynamics from January 2012 to February 2018. We introduce a robust automatic peak detection method that classifies price time series into periods of uninterrupted market growth (drawups) and regimes of uninterrupted market...
Persistent link: https://www.econbiz.de/10011899669
Persistent link: https://www.econbiz.de/10001766713
research reports conclude that the difference between the entertained forecasting models is 'insignificant'. This paper … Carlo experiments for simple time-series decision problems. -- information criteria ; forecasting ; hypothesis testing …
Persistent link: https://www.econbiz.de/10009726811
encouraging. In a pseudo out-of-sample exercise, our approach beats relevant benchmarks for forecasting CPI inflation and an …
Persistent link: https://www.econbiz.de/10010508347
the beginning of 2018. They also have performed well in forecasting the direction of inflation. In terms of the …
Persistent link: https://www.econbiz.de/10011901421
; (iv) newer generation Phillips curve models with several timevarying features are a promising avenue for forecasting …
Persistent link: https://www.econbiz.de/10012299084
Im Zentrum dieser Dissertation steht das Beschreiben und Erklären von Konjunkturdynamiken. Motiviert durch den außerordentlich starken wirtschaftlichen Einbruch in 2008/2009 betont die Arbeit dabei die Wichtigkeit der Nutzung von nichtlinearen Modellansätzen. Die Dissertation kann als Beitrag...
Persistent link: https://www.econbiz.de/10012154125
We document the impact of COVID-19 on frequently employed time series models, with a focus on euro area in ation. We show that for both single equation models (Phillips curves) and Vector Autoregressions (VARs) estimated parameters change notably with the pandemic. In a VAR, allowing the errors...
Persistent link: https://www.econbiz.de/10012519429