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gains in out-of-sample forecast accuracy compared with conventional no-change forecasts? How useful are oil futures markets … price forecast to alternative assumptions about future demand and supply conditions? How does one quantify risks associated …
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into gains in out-of-sample forecast accuracy compared with conventional no-change forecasts? How useful are oil futures … baseline oil price forecast to alternative assumptions about future oil demand and oil supply conditions? How does one quantify …
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Crude oil price series are nonlinear and highly volatile, making it difficult to obtain satisfactory performance for traditional statistical-based forecasting methods. To improve prediction accuracy, this study proposes a novel learning paradigm by integrating the trajectory similarity method...
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