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distribution by asking whether ethanol returns can be used to forecast different parts of field crops returns distribution, or vice … Squares. Forecast evaluation relies on quantile-weighed scoring rules, which identify regions of the distribution of interest … by using field crops returns. On the contrary, there is no evidence that ethanol can be used to forecast any region of …
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static forecasts, as well as different measures of forecast errors. Finally, we propose a new class of models which combine …
Persistent link: https://www.econbiz.de/10009382869
In this paper we investigate crude oil and products price dynamics. We present a comparison among ten price series of crude oils and fourteen price series of petroleum products, considering four distinct market areas (Mediterranean, North Western Europe, Latin America and North America) over the...
Persistent link: https://www.econbiz.de/10011592760
classical criteria, as well as forecast combination techniques with constant and non-constant weights. With respect to the … standard GARCH specification, the non-linear models generally lead to better forecasts in terms of both smaller forecast errors … and lower biases. In-sample forecast combination regressions are better than those from single Mincer …
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We present a weekly structural Vector Autoregressive (VAR) model of the US crude oil market. Exploiting weekly data we can explain short-run crude oil price dynamics, including those related with the COVID-19 pandemic and with the Russia's invasion of Ukraine. The model is set identified with a...
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