Showing 1 - 10 of 34
has implications for the estimation of economic models of energy-intensive durables, for oil price forecasting, and for …
Persistent link: https://www.econbiz.de/10011434566
This paper is concerned with problem of variable selection and forecasting in the presence of parameter instability …. There are a number of approaches proposed for forecasting in the presence of breaks, including the use of rolling windows or … variable selection and forecasting stages. In this study, we investigate whether or not we should use weighted observations at …
Persistent link: https://www.econbiz.de/10012258549
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...
Persistent link: https://www.econbiz.de/10011859438
This paper implements recent bootstrap panel cointegration techniques and Seemingly Unrelated regression (SUR) methods to investigate the existence of a long-run relationship between oil prices and Gulf Corporation Countries (GCC) stock markets. Since GCC countries are major world energy market...
Persistent link: https://www.econbiz.de/10003854428
In the empirical literature, only few studies have focused on the relationship between oil prices and stock markets in net oil-importing countries. In net oil-exporting countries this relationship has not been widely researched. This paper implements the panel-data approach of Kónya (2006),...
Persistent link: https://www.econbiz.de/10003937088
This paper investigates the time-varying impact of oil price uncertainty on stock prices in China using weekly data on ten sectoral indices over the period January 1997 - Febraury 2014. The estimation of a bivariate VAR-GARCH-in-mean model suggests that oil price volatility affects stock returns...
Persistent link: https://www.econbiz.de/10010375190
This paper explores the effect of oil price fluctuations on the stock returns of U.S. oil firms using a strategy of identification through heteroskedasticity exploiting the 2020 oil crash. Results are twofold. First, we find that a decline in oil prices statistically significantly reduces stock...
Persistent link: https://www.econbiz.de/10013205096
This paper provides a novel approach to forecasting time series subject to discrete structural breaks. We propose a …
Persistent link: https://www.econbiz.de/10011450047
This paper provides a detailed assessment of the real-time forecast accuracy of a wide range of vector autoregressive models (VAR) that allow for both structural change and indicators sampled at different frequencies. We extend the literature by evaluating a mixed-frequency time-varying...
Persistent link: https://www.econbiz.de/10012154665
We develop novel forecasting methods for panel data with heterogeneous parameters and examine them together with … forecasting methods can perform better than forecasts based on individual estimates and demonstrate how gains in predictive … stock returns, we show that no single forecasting approach dominates uniformly. However, forecast combination and shrinkage …
Persistent link: https://www.econbiz.de/10013176894