Linear and nonlinear Granger causality investigation between carbon market and crude oil market: A multi-scale approach

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Forecasting carbon price using empirical mode decomposition and evolutionary least squares support vector regression (2017, methodology): “Consequently, 25 Inspired by Tang et al. (2012)[18], Guo et al. (2012)[28], Zhu and Wei,(2013)[10] and Yu et al. (2015)[39], two single 26 models (LSSVR and ARIMA), a hybrid ARIMA+LSSVR model, and four multiscale forecasting models (EMD–27 ARIMA–IMF1–ADD, EMD–ARIMA–ADD, EMD–LSSVR–IMF1–ADD and…”
The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach (2021, unknown): “…development and advances in the market design over phases, Phase III is characterized by a more mature market environment with more enhanced informational eﬃciency and higher market liquidity compared to previous phases (Chung and Hrazdil, 2010; Mizrach and Otsubo, 2014; Yu et al., 2015b).”