Forecasting short-run crude oil price using high- and low-inventory variables
By Michael M. Ye, J. Zyren, J. Shore. 2006
122 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/24cdd06baa8e932deb528767932ab8368d8a805e
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In Economics and Econometrics
- Jeffrey A. Frankel
- Lean Yu
- Ling Tang
- Zishu Wang
- Andrew K. Rose
- Edmundo de Souza e Silva
- Luiz Fernando Loureiro Legey
- J. Fidrmuc
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Forecasting oil price trends using wavelets and hidden Markov models (2010, background): “In (Ye et al., 2002, 2005, 2006), for example, the authors suggest that the petroleum inventory levels maintained by OECD countries may be used to predict future crude oil prices.”
- Determinants of Agricultural and Mineral Commodity Prices (2010, background): “Higher economic activity should have a positive 17 Ye et al (2002, 2005, 2006) emphasise the role of inventories in forecasting oil prices: Notice that, once we condition on the real interest rate (and convenience yield), inventories have…”
- A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting (2015, background): “[30] for 1- to 3-month-ahead prediction, Jammazi and Aloui [31] for 2-, 3- and 4-month-ahead predictions, Xiong et al.”
- Effects of speculation and interest rates in a “carry trade” model of commodity prices (2013, unknown): “We assume linearity in our estimation for simplicity, but allowing for non-linearity is a desirable extension 13 Ye et al (2002, 2005, 2006), for example, emphasise the role of inventories in forecasting oil prices.”