Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/244062 
Authors: 
Year of Publication: 
2020
Citation: 
[Journal:] Energy Reports [ISSN:] 2352-4847 [Volume:] 6 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2020 [Pages:] 605-619
Publisher: 
Elsevier, Amsterdam
Abstract: 
This paper performs a two-stage methodology based on the Structural VAR and time-varying parameter regression models to examine the dynamic reaction of a set of oil-related countries' stock markets to oil price shocks. Oil prices are studied by disentangling demand and supply shocks. Based on monthly data from the 1999-2018 period, the results report evidence of a time-varying reaction of all stock market returns to different oil shocks. Moreover, the stock returns react to the demand shocks more than to the supply shocks. Besides, the effect of supply shocks on stock returns is generally limited and negative, while the aggregate demand shocks exert a positive effect on almost all stock returns. Oil-specific demand shocks have positive effects on the oil-exporting stock returns and negative effects in the case of oil-importing countries, except for the Chinese market. These findings have important policy implications for policymakers and investors.
Subjects: 
Oil price shocks
Oil-exporting countries
Oil-importing countries
Stock returns
Time-varying regression
JEL: 
C13
G10
G15
Q41
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article
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