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Oil Price Forecast Evaluation with Flexible Loss Functions AgEcon
Bastianin, Andrea; Manera, Matteo; Markandya, Anil; Scarpa, Elisa.
The empirical literature is very far from any consensus about the appropriate model for oil price forecasting that should be implemented. Relative to the previous literature, this paper is novel in several respects. First of all, we test and systematically evaluate the ability of several alternative econometric specifications proposed in the literature to capture the dynamics of oil prices. Second, we analyse the effects of different data frequencies on the coefficient estimates and forecasts obtained using each selected econometric specification. Third, we compare different models at different data frequencies on a common sample and common data. Fourth, we evaluate the forecasting performance of each selected model using static forecasts, as well as...
Tipo: Working Paper Palavras-chave: Oil Price; WTI Spot and Futures Prices; Forecasting; Econometric Models; Research and Development/Tech Change/Emerging Technologies; C52; C53; Q32; Q43.
Ano: 2011 URL: http://purl.umn.edu/120042
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