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Time-frequency analysis between Bloomberg Commodity Index (BCOM) and WTI crude oil prices

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dc.creator Tiwari, Aviral Kumar
dc.creator Jena, Sangram Keshari
dc.creator Magazzino, Cosimo
dc.creator Dogan, Buhari
dc.creator Shahzad, Umer
dc.date 2022-09-01T00:00:00Z
dc.date.accessioned 2023-01-09T12:01:23Z
dc.date.available 2023-01-09T12:01:23Z
dc.identifier 333c2f8a-18c0-461a-9da0-e5760b26ea17
dc.identifier 10.1016/j.resourpol.2022.102823
dc.identifier https://avesis.sdu.edu.tr/publication/details/333c2f8a-18c0-461a-9da0-e5760b26ea17/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/97726
dc.description The price movement of commodities in general and crude oil, in particular, are critical for both commodityconsuming and producing countries. The prime objective of this study is to examine the characteristic behavior of commodity futures and commodity index and the dynamic relationships between commodity index and commodity futures. The study first investigates the evolution of volatility of Bloomberg commodity index (BCOM) and WTI crude oil (CRUDE) prices at different time scales using Wavelet Power Spectrum Analysis. Second, the correlation and causality between BCOM and CRUDE are investigated using Wavelet Coherency and Phase Difference methodology. The average level volatility of BCOM and CRUDE is different at different time scales. Wavelet Coherence shows that they are correlated in medium to long term periods and not in the short term. Further, during the period of changed correlation structure over the study period, the causality structure between BCOM and CRUDE is also changed at different time scales. Therefore, policy measures to control prices should be different in the short term than in the medium to long term when both the prices are not correlated.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title Time-frequency analysis between Bloomberg Commodity Index (BCOM) and WTI crude oil prices
dc.type info:eu-repo/semantics/article


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