The oil price-macroeconomy dependence

Area of Science:

• Economics
• Econometrics
• Financial Markets

Background:

• Understanding the dynamic relationship between oil prices and economic output is crucial for policymakers and market participants.
• Oil price volatility can significantly influence macroeconomic stability and growth trajectories.
• Previous studies often overlook the nonlinear and time-varying nature of this relationship.

Purpose of the Study:

• To investigate the complex, nonlinear dependence between oil price shocks and U.S. real output growth.
• To analyze the role of oil price uncertainty in influencing economic performance.
• To account for changing oil price dynamics using a Markov regime switching approach.

Main Methods:

• Utilized a Markov regime switching, identified, structural GARCH-in-Mean Vector Autoregression (VAR) model.
• Employed copula methods to examine nonlinear and tail dependence structures.
• Analyzed time-series data for the United States over the specified sample period.

Main Results:

• Identified an asymmetric negative dependence structure between oil price and output growth shocks.
• Found that oil price uncertainty exerts a statistically significant negative effect on real output growth.
• Demonstrated the importance of regime switching in capturing evolving oil price dynamics.

Conclusions:

• Oil price uncertainty is a significant determinant of U.S. real output growth.
• The relationship between oil prices and output is nonlinear and asymmetric, with negative shocks having a pronounced impact.
• The employed econometric model effectively captures the complexities of oil price dynamics and their economic consequences.