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returns and the equity variance premium. We evaluate a plethora of state-of-the-art volatility forecasting models to produce …
Persistent link: https://www.econbiz.de/10013054678
In this paper we develop a general framework to analyze state space models with time-varying system matrices where time variation is driven by the score of the conditional likelihood. We derive a new filter that allows for the simultaneous estimation of the state vector and of the time-varying...
Persistent link: https://www.econbiz.de/10012842441
volatility of returns. Moreover, we are able to predict all the conditional covariances among the observable series …
Persistent link: https://www.econbiz.de/10013154951
This study applies a model averaging approach to conditionally forecast housing investment in the largest euro area … investment which calls for country-specific housing market policies. A pseudo out-of-sample forecast exercise shows that our …. This suggests that there is ample scope for model averaging tools in forecast exercises, notably as they also help to …
Persistent link: https://www.econbiz.de/10014355351
quantity to be forecast. This makes it possible to form a single model-based inflation forecast that also incorporates the …
Persistent link: https://www.econbiz.de/10013122536
parametric discrete time series models estimated with Bayesian methods. The subset of variables may vary across forecast horizons …
Persistent link: https://www.econbiz.de/10013083316
the forecast exercise and for the full sample. However, the rational expectations model typically predicts real GDP growth … forecast horizon, while the adaptive learning model predicts better for the outer quarters …
Persistent link: https://www.econbiz.de/10014258211
This paper evaluates how well sectoral stock prices forecast future economic activity compared to traditional … prices in general provide more accurate forecasts than traditional asset price measures across all forecast horizons …
Persistent link: https://www.econbiz.de/10013316583
of a forecast breakdown in the Phillips' curve forecasts of U.S. inflation, and links it to inflation volatility and to …We propose a theoretical framework for assessing whether a forecast model estimated over one period can provide good … forecasts over a subsequent period. We formalize this idea by defining a forecast breakdown as a situation in which the out …
Persistent link: https://www.econbiz.de/10013317583
including the global financial crisis with its extraordinary volatility in inflation. Overall, we find that forecast combination …The period of extraordinary volatility in euro area headline inflation starting in 2007 raised the question whether … forecast combination methods can be used to hedge against bad forecast performance of single models during such periods and …
Persistent link: https://www.econbiz.de/10012965542