id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-336397-mgrezzmw	Habib, Yasir	Time–frequency co-movement between COVID-19, crude oil prices, and atmospheric CO(2) emissions: Fresh global insights from partial and multiple coherence approach	2020-10-11		.txt	text/plain	6585	360	54	Therefore, the objective of the current study is to investigate the asymmetric co-movement linkage between COVID-19, oil prices, and atmosphere carbon emissions in a global setting by applying an advanced and innovative wavelet approach. To probe the nonlinear co-movement and the lead-lag connections among COVID-19, CO 2 emissions, and crude oil prices in the time-frequency spheres and data sample size, the conventional times series techniques, specifically, Granger causality analysis, the vector autoregressive models (VARs), generalized autoregressive conditional heteroscedastic processes (GARCH), are not suitable for the current study. This paper employs the comprehensive wavelet coherence analysis tools, including wavelet transform coherence as well as continuous, partial and multiple wavelet coherence, to enclose the association and co-movement between global daily new infected and confirmed cases of COVID-19, global daily CO 2 emissions, and daily crude oil prices across time scales. This study explores the co-movement between COVID-19, CO 2 emissions, and crude oil prices by using the wavelet transform method.	./cache/cord-336397-mgrezzmw.txt	./txt/cord-336397-mgrezzmw.txt