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In this paper we present a methodology which can help to improve the assessment of the current economic situation. We propose an approach which combines multivariate single equations to forecast the monthly growth rate of industrial production with a density forecast. This allows to estimate the...
Persistent link: https://www.econbiz.de/10009616512
performs favourably compared to the Eurosystem/ECB staff macroeconomic projections, (iv) forecasting performance deteriorates …
Persistent link: https://www.econbiz.de/10014315194
regression used in Bai and Ng (2008), called the elastic net (Zou and Hastie, 2005). We illustrate our approach by forecasting …
Persistent link: https://www.econbiz.de/10010498420
leverage a novel real-time dataset to conduct an out-of-sample forecasting exercise for U.S. real gross domestic product (GDP …). MF-BVARs are shown to provide an attractive alternative to surveys of professional forecasters for forecasting GDP growth …
Persistent link: https://www.econbiz.de/10011485951
We introduce a Combined Density Nowcasting (CDN) approach to Dynamic Factor Models (DFM) that in a coherent way accounts for time-varying uncertainty of several model and data features in order to provide more accurate and complete density nowcasts. The combination weights are latent random...
Persistent link: https://www.econbiz.de/10010465155
This paper compares within-sample and out-of-sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets and Wouters model is the chosen laboratory using quarterly real-time euro area data vintages, covering 2001Q1-2019Q4. The adaptive learning model...
Persistent link: https://www.econbiz.de/10013492913
This paper discusses how the forecast accuracy of a Bayesian vector autoregression (BVAR) is affected by introducing the zero lower bound on the federal funds rate. As a benchmark I adopt a common BVAR specification, including 18 variables, estimated shrinkage, and no nonlinearity. Then I...
Persistent link: https://www.econbiz.de/10011306293
- and hard-threshold algorithms improves the forecasting performance, especially during periods of economic crisis. While a … effect on forecasting performance, all the more, if the set of indicators becomes unbalanced. …
Persistent link: https://www.econbiz.de/10010532088
This paper analyzes the forecasting performance of financial market data in comparison to other indicator groups to … evaluate the forecasting performance using a significance test. In addition, we investigate the stability of forecasting models …-term forecasting, especially for the US and longer forecast horizons. Nevertheless, the results indicate that the Great Recession was …
Persistent link: https://www.econbiz.de/10010529472
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