Crude oil price analysis and forecasting using wavelet decomposed ensemble model

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A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting (2015, background): “On the other hand, as a special energy resource, crude oil price is strongly influenced by some exogenous factors, such as irregular events [2], global economic status [3], speculation activities [4], and political and social attitudes [5], whose effects on crude oil market are sometimes hard to qua”
Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach (2015, background): “, short-termmarket fluctuations, significant breaks with medium-term effects, and long-term trend (Zhang et al., 2008; Yu et al., 2008; He et al., 2012; Zhu, 2012; Zhu et al., 2015; Yu et al., 2014).”
Exploring the time-frequency connectedness and network among crude oil and agriculture commodities V1 (2019, background): “Du et al. (2011); i and Fan (2012), and Wang et al. (2014), inter alia, investigated the role of oil prices n the recent food crisis from 2006 to mid-2008. ttps://doi.org/10.1016/j.eneco.2019.104543 140-9883/© 2019 Elsevier B.V.”