Showing 1 - 10 of 344,816
Forecasting the world economy is a difficult task given the complex interrelationships within and across countries …. This paper proposes a number of approaches to forecast short-term changes in selected world economic variables and aims … forecasting directly aggregate variables (direct approaches) outperform methods based on the aggregation of country …
Persistent link: https://www.econbiz.de/10013159358
Forecasting the world economy is a difficult task given the complex interrelationships within and across countries …. This paper proposes a number of approaches to forecast short-term changes in selected world economic variables and aims … forecasting di- rectly aggregate variables (direct approaches)out-perform methods based on the aggregation of country- specific …
Persistent link: https://www.econbiz.de/10011605105
In a globalised world economy, global factors have become increasingly important to explain trade flows at the expense … world trade is directly forecasted at the aggregate levels, relative to quot;bottom-upquot; approaches, where world trade … results from an aggregation of country-specific forecasts. Factor models in particular prove rather accurate, where the …
Persistent link: https://www.econbiz.de/10012753643
Mixed frequency Bayesian vector autoregressions (MF-BVARs) allow forecasters to incorporate a large number of mixed frequency indicators into forecasts of economic activity. This paper evaluates the forecast performance of MF-BVARs relative to surveys of professional forecasters and investigates...
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
We develop a small-scale dynamic factor model for the Swiss economy allowing for non-linearities by means of a two-state Markov-chain. The selection of an appropriate set of indicators utilizes a combinatorial algorithm. The model's forecasting performance is as good as that of peers with richer...
Persistent link: https://www.econbiz.de/10012892535
Mixed frequency Bayesian vector autoregressions (MF-BVARs) allow forecasters to incorporate a large number of mixed frequency indicators into forecasts of economic activity. This paper evaluates the forecast performance of MF-BVARs relative to surveys of professional forecasters and investigates...
Persistent link: https://www.econbiz.de/10012855407
We define and forecast classical business cycle turning points for the Norwegian economy. When defining reference business cycles, we compare a univariate and a multivariate Bry-Boschan approach with univariate Markov-switching models and Markov-switching factor models. On the basis of a...
Persistent link: https://www.econbiz.de/10013021261
This paper develops Bayesian econometric methods for posterior inference in non-parametric mixed frequency VARs using additive regression trees. We argue that regression tree models are ideally suited for macroeconomic nowcasting in the face of extreme observations, for instance those produced...
Persistent link: https://www.econbiz.de/10013243790
Most macroeconomic indicators failed to capture the sharp economic fluctuations during the Corona crisis in a timely manner. Instead, alternative high-frequency data have been used, aiming to monitor the economic situation. However, these data are often only loosely related to the business cycle...
Persistent link: https://www.econbiz.de/10012395297