A mixture innovation time-varying parameter VAR model is used to examine the impact of structural oil price shocks on U.S. stock market return. Time variation is evident in both the coefficients and the variance-covariance matrix. The standard deviations of the demand side structural shocks...

Kilian and Park (IER 50 (2009), 1267–1287) find shocks to oil supply are relatively unimportant to understanding changes in U.S. stock returns. We examine the impact of both U.S. and non-U.S. oil supply shocks on stock returns in light of the unprecedented expansion in U.S. oil production...

Our paper examines the effect of oil price changes on Gulf Cooperation Council (GCC) stock markets using nonlinear smooth transition regression (STR) models. Contrary to conventional wisdom, our empirical results reveal that GCC stock markets do not have similar sensitivities to oil price...

Our paper examines the effect of oil price changes on Gulf Cooperation Council (GCC) stock markets using nonlinear smooth transition regression (STR) models. Contrary to conventional wisdom, our empirical results reveal that GCC stock markets do not have similar sensitivities to oil price...

There is an ongoing debate on how oil prices affect the stock prices of clean energy companies. We contribute to this debate by questioning the possibility of asymmetric linkages between oil prices, interest rates, and the stock prices of clean energy and technology firms. Using a recently...

We show that a model where investors learn about the persistence of oil-price movements accounts well for the fluctuations in oil-price futures since the late 1990s. Using a DSGE model, we then show that this learning process alters the impact of oil shocks, making it time-dependent and...