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Dynamic Characteristics of Oil Attributes and Their Market Effects

Qingqing Hu (), Tinghui Li (), Xue Li () and Hao Dong ()
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Qingqing Hu: School of International Studies, Hunan Institute of Technology, Hengyang 421000, China
Tinghui Li: School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China
Xue Li: School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China
Hao Dong: School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China

Energies, 2021, vol. 14, issue 13, 1-22

Abstract: The commercial and financial attributes of oil have significantly changed the evolution characteristics of prices and returns of the international crude oil market. Using monthly data from April 2003 to October 2020, this paper identifies dynamic characteristics of oil’s commercial and financial attributes based on the structural vector autoregressive model (SVAR) and further analyzes their market effects with different attributes. The result shows that there are situations of commercial and financial attributes dominating, and dual attributes co-dominating for oil. Furthermore, their durations account for 51%, 23%, and 26% respectively, of the full sample. Besides, the reactions of crude oil price or return to the different properties of oil are heterogeneous. Specifically, the dual attributes of oil play the most important role in the price evolution of the international crude oil market, which is 80.851. There are significant differences among the impact of different attributes of oil on the evolution of international crude oil market returns, which are 0.009, −0.008, and −0.004, respectively. Then, some relevant recommendations for policy-makers and investors based on the above research conclusions are also put forward.

Keywords: commercial attribute of oil; financial attribute of oil; dynamic characteristics; international crude oil market; market effect (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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