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- W2373687613 abstract "Utilizing logarithms for indirect factor variables that influence the oil price,the study built a varying-coefficient regression model of no seasonal and existing seasonal dummy variables.And then the models were used to forecast,compare and analyze the spot price sequence of West Texas intermediate(WTI) crude oil from the first quarter of 2001 to the first quarter of 2012.The result showed that the model of no seasonal and dummy variable can more efficiently forecast oil price sequence and its forecast effect is better than that of the direct factor variables.Finally,the counting of the goodness-of-fit coefficient proved that we have chosen the right influential factors to forecast the oil price." @default.
- W2373687613 created "2016-06-24" @default.
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- W2373687613 date "2014-01-01" @default.
- W2373687613 modified "2023-09-23" @default.
- W2373687613 title "Application of varying-coefficient regression model in international oil price forecasting" @default.
- W2373687613 hasPublicationYear "2014" @default.
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