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In this work, we test the price sensitivity of sector indices to changes in the oil price over the period 2001 to 2021 using the kernel method and the non-linear autoregressive method with distributed lags (NARDL) proposed by Shin et al., (2014). We capture both short-term and long-term...
Persistent link: https://www.econbiz.de/10014348440
regression models, 2010) as well as the cointegration tests developed in Arai and Kurozumi (Testing for the null hypothesis of … cointegration with a structural break, 2007) and Kejriwal (Cointegration with structural breaks: an application to the Feldstein …- Horioka Puzzle, 2008). The results obtained are consistent with the existence of linear cointegration between the log stock …
Persistent link: https://www.econbiz.de/10011745419
Persistent link: https://www.econbiz.de/10012656930
Using a modified DCC-MIDAS specification, we endogenize the long-term correlation between crude oil and stock price returns with respect to the stance of the U.S. macroeconomy. We find that variables which contain information on current and future economic activity are helpful predictors for...
Persistent link: https://www.econbiz.de/10011422237
Using a modified DCC-MIDAS specification, we endogenize the long-term correlation between crude oil and stock price returns with respect to the stance of the U.S. macroeconomy. We find that variables which contain information on current and future economic activity are helpful predictors for...
Persistent link: https://www.econbiz.de/10009526194
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 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/10010367161
We study the effects of crude oil price shocks on the stock market volatility of the G7 economies. We rely on a structural VAR model to identify the causes underlying the oil price shocks and gauge the differential impact that oil supply and oil demand innovations have on financial volatility....
Persistent link: https://www.econbiz.de/10011438638
We study the impact of oil price shocks on US stock market volatility. We derive three different structural oil shock variables (i.e. aggregate demand, oil-supply, and oil-demand shocks) and relate them to stock market volatility, using bivariate structural VAR models, one for each oil price...
Persistent link: https://www.econbiz.de/10010476423
We study the effects of crude oil price shocks on the stock market volatility of the G7 economies. We rely on a structural VAR model to identify the causes underlying the oil price shocks and gauge the differential impact that oil supply and oil demand innovations have on financial volatility....
Persistent link: https://www.econbiz.de/10013001030