Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/274016 
Year of Publication: 
2023
Series/Report no.: 
MUNI ECON Working Paper No. 2023-04
Publisher: 
Masaryk University, Faculty of Economics and Administration, Brno
Abstract: 
It has already been literarily proven that the past shows a statistical correlation between crude oil prices and certain industries that are influenced by its volatility. In this context, the Russian war in particular leads to reassessable reactions of these industries. In this paper, we investigate this influence during the war period and compare the results with pre-war calculations for 533 companies from 12 industries. Therefore, we use a recursive SVAR model, based on which we illustrate our results graphically with the impulse-response function. We find that the shock responses of industries to Brent volatilities during the war period have a high explanatory power, but we find different results for the individual industries. While oil-producing industries react positively to positive shocks (more so during the war period), the impact on oil-producing industries is rather small, but negative. Oil & Gas Drilling shows an increase of 10 % and Tires & Rubber Products a decrease of 8 %. Also other industries show surprising results.
Subjects: 
Oil price shock
Oil industries
SVAR model
Impulse response function
JEL: 
C22
Q11
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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