Showing 1 - 10 of 572
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
We provide a versatile nowcasting toolbox that supports three model classes (dynamic factor models, large Bayesian VAR, bridge equations) and offers methods to manage data selection and adjust for Covid-19 observations. The toolbox aims at simplifying two key tasks: creating new nowcasting...
Persistent link: https://www.econbiz.de/10015199442
A small labour market model for the six largest euro area countries (Germany, France, Italy, Spain, the Netherlands, Belgium) is estimated in a state -space framework. The model entails, in the long run, four driving forces: a trend labour force component, a trend labour productivity component,...
Persistent link: https://www.econbiz.de/10011605330
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
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
In this paper we develop a general framework to analyze state space models with timevarying 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/10012422031
knowledge the empirical performance of two competing approaches to model seasonality in daily time series, namely the ARIMA … provides valid intuition on the merits of each approach. The forecasting performance of the models is also assessed in the …
Persistent link: https://www.econbiz.de/10011604188
Financial decision makers often consider the information in currency option valuations when making assessments about future exchange rates. The purpose of this paper is to systematically assess the quality of option based volatility, interval and density forecasts. We use a unique dataset...
Persistent link: https://www.econbiz.de/10011604412
Economic policy makers, international organisations and private-sector forecasters commonly use short-term forecasts of real GDP growth based on monthly indicators, such as industrial production, retail sales and confidence surveys. An assessment of the reliability of such tools and of the...
Persistent link: https://www.econbiz.de/10011604668
Indices (PMI) in anticipating US real economic activity. We conduct a fully-fledged real-time out-ofsample forecasting … forecasting GDP growth, while it performs quite poorly in anticipating industrial production growth. Combining the information …
Persistent link: https://www.econbiz.de/10011605500