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We derive forecast weights and uncertainty measures for assessing the role of individual series in a dynamic factor model (DFM) to forecast euro area GDP from monthly indicators. The use of the Kalman filter allows us to deal with publication lags when calculating the above measures. We find...
Persistent link: https://www.econbiz.de/10011604797
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/10011307784
Monetary policymakers and long-term investors would benefit greatly from a measure of underlying inflation that uses all relevant information, is available in real time, and forecasts inflation better than traditional underlying inflation measures such as core inflation measures. This paper...
Persistent link: https://www.econbiz.de/10011340981
The article compares forecast quality from two atheoretical models. Neither method assumed a priori causality and forecasts were generated without additional assumptions about regressors. Tendency survey data was used within the Bayesian averaging of classical estimates (BACE) framework and...
Persistent link: https://www.econbiz.de/10011371996
information. Finally, when forecasting the headline CPI, our UIG for China outperforms traditional core measures over different …
Persistent link: https://www.econbiz.de/10011420978
This Paper proposes a new forecasting method that exploits information from a large panel of time series. The method is …
Persistent link: https://www.econbiz.de/10010328558
use of measures of underlying in?ation to formulate monetary policy and assist in forecasting observed in?ation. Recent … disaggregated price indices for European countries. We then assess the forecasting ability of these factor estimates against other … 12 to 18 months is adopted as a valid criterion to assess forecasting. Empirical results for the ?ve largest euro area …
Persistent link: https://www.econbiz.de/10011604448
Forecasts from dynamic factor models potentially benefit from refining the data set by eliminating uninformative series. The paper proposes to use prediction weights as provided by the factor model itself for this purpose. Monte Carlo simulations and an empirical application to short-term...
Persistent link: https://www.econbiz.de/10011605938
-time forecasting exercise, the authors show that including additional factors-that reflect financial sector conditions …
Persistent link: https://www.econbiz.de/10011629683
In this paper we extract latent factors from a large cross-section of commodity prices, including fuel and non-fuel commodities. We decompose each commodity price series into a global (or common) component, block-specific components and a purely idiosyncratic shock. We find that the bulk of the...
Persistent link: https://www.econbiz.de/10011853300