Showing 1 - 10 of 37,967
Electricity price forecasting has become an area of increasing relevance in recent years. Despite the growing interest in predictive algorithms, the challenges are difficult to overcome given the restricted access to relevant data series and the lack of accurate metrics. Multiple models have...
Persistent link: https://www.econbiz.de/10014464238
inflation rates of Turkey and propose a new weighting scheme, the time-varying simple weighting method. Our guiding principle … the exhaustive literature of forecast combinations and apply our newly developed combination method to test for the … prospective credibility of the inflation-targeting regime of the central bank of the Republic of Turkey …
Persistent link: https://www.econbiz.de/10013124997
breaks in the performance of most simple Phillips curves. Euro area inflation was particularly hard to forecast in the run … in a forecaster's toolkit. We base these conclusions on an extensive forecast evaluation over 1994 - 2018, an … practitioners, we find that: (i) the key type of time variation to consider is an inflation trend; (ii) a simple filter-based output …
Persistent link: https://www.econbiz.de/10012299084
and forecast inflation out-of-sample by analyzing a New Keynesian Phillips Curve (NKPC) in the frequency domain. In …Policymakers and researchers see inflation characterized by cyclical fluctuations driven by changes in resource … utilization and temporary shocks, around a trend influenced by inflation expectations. We study the in-sample inflation dynamics …
Persistent link: https://www.econbiz.de/10012544362
This paper considers forecast averaging when the same model is used but estimation is carried out over different … estimation windows leads to a lower bias and to a lower root mean square forecast error for all but the smallest of breaks … techniques are applied to monthly inflation series of 21 OECD countries and it is found that average forecasting methods in …
Persistent link: https://www.econbiz.de/10012714199
This paper considers forecast averaging when the same model is used but estimation is carried out over different … estimation windows leads to a lower bias and to a lower root mean square forecast error for all but the smallest of breaks … techniques are applied to monthly inflation series of 21 OECD countries and it is found that average forecasting methods in …
Persistent link: https://www.econbiz.de/10012756639
This paper examines the relation between variations in perceived inflation uncertainty and bond premia. Using the … average individual uncertainty about inflation forecasts since 1968. We show that this ex-ante measure of inflation … uncertainty differs importantly from measures of disagreement regarding inflation forecasts and other proxies, such as model …
Persistent link: https://www.econbiz.de/10010441139
Economic policies are generally formulated on the basis of data available in real time, which might subsequently be revised. Implicitly, the possibility of data revisions creates an element of uncertainty around the very same data driving policy decisions. Given that such uncertainty could be...
Persistent link: https://www.econbiz.de/10014461449
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
from competing Markov-switching models. In the empirical application, we forecast U.S. business cycle turning points with …
Persistent link: https://www.econbiz.de/10012950952