Showing 1 - 10 of 2,687
We present new results for the likelihood-based analysis of the dynamic factor model that possibly includes intercepts and explanatory variables. The latent factors are modelled by stochastic processes. The idiosyncratic disturbances are specified as autoregressive processes with mutually...
Persistent link: https://www.econbiz.de/10011373811
We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...
Persistent link: https://www.econbiz.de/10011383033
The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...
Persistent link: https://www.econbiz.de/10010391543
We develop a new dynamic multivariate model for the analysis and the forecasting of football match results in national … model specification yield the best forecasting results. In an extensive forecasting study, we consider match results from …
Persistent link: https://www.econbiz.de/10011688523
This paper discusses identification, specification, estimation and forecasting for a general class of periodic … formulations are introduced for exact maximum likelihood estimation, component estimation and forecasting. Identification issues …
Persistent link: https://www.econbiz.de/10011350384
surface types. We finally show that our proposed model can also be effective in forecasting. We provide evidence that our … model significantly outperforms existing models in the forecasting of tennis match results. …
Persistent link: https://www.econbiz.de/10011794344
Increasingly, professional forecasters and academic researchers present model-based and subjective or judgment-based forecasts in economics which are accompanied by some measure of uncertainty. In its most complete form this measure is a probability density function for future values of the...
Persistent link: https://www.econbiz.de/10011895935
been applied to oil price forecasting, by allowing for sequentially updating of time-varying combination weights …-varying forecast uncertainty and risk for the real price of oil over the period 1974-2018. We show that the combination approach … analysis of profit-loss and hedging against price risk. …
Persistent link: https://www.econbiz.de/10012545165
been applied to oil price forecasting, by allowing for sequentially updating of time-varying combination weights …-varying forecast uncertainty and risk for the real price of oil over the period 1974-2018. We show that the combination approach … analysis of profit-loss and hedging against price risk. …
Persistent link: https://www.econbiz.de/10012795319
Forecasts from various experts are often used in macroeconomic forecasting models. Usually the focus is on the mean or …
Persistent link: https://www.econbiz.de/10011381819