This paper analyses the dynamic impact of geopolitical risks (GPRs) on real oil returns for the period February 1974 to August 2017, using a time-varying parameter structural vector autoregressive (TVP-SVAR) model. Besides the two variables of concern, the model also includes growth in world oil production, global economic activity (to capture oil-demand), and world stock returns. We show that GPRs (based on a tally of newspaper articles covering geopolitical tensions), in general, has a significant negative impact on oil returns, primarily due to the decline in oil demand captured by the global economic activity. Our results, thus, highlight the risk of associating all GPRs with oil supply shocks driven by geopolitical tensions in the Midd...
Using monthly data for the period from 1916 to 2020, we report that geopolitical risk, when decompos...
This study examines the relationship between energy prices and geopolitical risk. However, it was in...
This paper focuses on oil market dynamics through the investigation of oil systematic risk and oil r...
This paper analyses the dynamic impact of geopolitical risks (GPRs) on real oil returns for the peri...
This paper analyses the dynamic impact of geopolitical risks (GPRs) on real oil returns for the peri...
This study employs the time-varying parameter structural vector autoregression (TVP-SVAR) models to ...
This paper aims simultaneously to study the global dynamic relationship of oil prices, financial liq...
We examine the dynamic relationship between oil prices and news-based indices of global geopolitical...
International audienceThis study characterizes the oil market as a nonlinear-switching phenomenon an...
Markets are invariably influenced and affected not only by the usual array of economic and financial...
This study develops a Global Vector Autoregression (GVAR) model to simulate various types of shocks ...
Abstract The spring of 2011 unrest grew in the Middle East and North Africa, and as a result we saw ...
The paper analyses the importance of supply versus demand shocks on the global oil market from 1974 ...
This dissertation considers different aspects of crude oil research, primarily based on four indepen...
Using a Time-Varying Parameters Bayesian Vector Autoregression model, we investigate how the dynamic...
Using monthly data for the period from 1916 to 2020, we report that geopolitical risk, when decompos...
This study examines the relationship between energy prices and geopolitical risk. However, it was in...
This paper focuses on oil market dynamics through the investigation of oil systematic risk and oil r...
This paper analyses the dynamic impact of geopolitical risks (GPRs) on real oil returns for the peri...
This paper analyses the dynamic impact of geopolitical risks (GPRs) on real oil returns for the peri...
This study employs the time-varying parameter structural vector autoregression (TVP-SVAR) models to ...
This paper aims simultaneously to study the global dynamic relationship of oil prices, financial liq...
We examine the dynamic relationship between oil prices and news-based indices of global geopolitical...
International audienceThis study characterizes the oil market as a nonlinear-switching phenomenon an...
Markets are invariably influenced and affected not only by the usual array of economic and financial...
This study develops a Global Vector Autoregression (GVAR) model to simulate various types of shocks ...
Abstract The spring of 2011 unrest grew in the Middle East and North Africa, and as a result we saw ...
The paper analyses the importance of supply versus demand shocks on the global oil market from 1974 ...
This dissertation considers different aspects of crude oil research, primarily based on four indepen...
Using a Time-Varying Parameters Bayesian Vector Autoregression model, we investigate how the dynamic...
Using monthly data for the period from 1916 to 2020, we report that geopolitical risk, when decompos...
This study examines the relationship between energy prices and geopolitical risk. However, it was in...
This paper focuses on oil market dynamics through the investigation of oil systematic risk and oil r...