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A random walk through the trees: Forecasting copper prices using decision learning methods
(Elsevier, 2020)
We investigate the accuracy of copper price forecasts produced by three decision learning methods. Prior evidence (Liu et al. Resources Policy, 2017) shows that a regression tree, a simple decision learning model, can be ...
A hybrid commodity price-forecasting model applied to the sugar-alcohol sector
(WILEY-BLACKWELL, 2011)
Accurate price forecasting for agricultural commodities can have significant decision-making implications for suppliers, especially those of biofuels, where the agriculture and energy sectors intersect. Environmental ...
Inflation and the Informativeness of Prices: Microeconomic Evidence from High InflationInflation and the Informativeness of Prices: Microeconomic Evidence from High Inflation
(Sociedade Brasileira de Econometria, 1996)
Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2013-08-22)
The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual frequencies. Data consists of metal-commodity prices at a monthly and quarterly ...
Using common features to understand the behavior of metal-commodity prices and forecast them at different horizons
(Fundação Getulio Vargas. Escola de Pós-graduação em Economia, 2013-06-03)
The objective of this article is to study (understand and forecast) spot metal price levels and changes at monthly, quarterly, and annual horizons. The data to be used consists of metal-commodity prices in a monthly frequency ...
Análise do comportamento futuro do preço de compra do cimento Portland CP IV
(Universidade Federal de Santa MariaBrasilUFSMCentro de Tecnologia, 2016-11-25)
The main purpose of this research is to predict the Portland CP IV cement purchase price for a supply materials store, by means of autoregressive integrated moving average (ARIMA) forecasting models and forecast combinations ...
A forecast of world oil prices
(1978-12)
Forecasting inflation using online daily prices: a midas approach for Brazil
(2021-05-14)
Usually, inflation is optimally forecasted using simple time series models or a Phillips’ curve process. However, as more people become online shoppers, “online inflation” turns out to be a good predictor of official ...