Economic Policy Uncertainty and Stock Market Performance: Evidence From the European Union, Croatia, Norway, Russia, Switzerland, Turkey and Ukraine

2012 ◽  
Author(s):  
Vichet Sum
Keyword(s):  
European Union ◽  
Economic Policy ◽  
Stock Market ◽  
Market Performance ◽  
Policy Uncertainty ◽  
The European Union ◽  
Economic Policy Uncertainty ◽  
Stock Market Performance

scholarly journals US Economic Policy Uncertainty and GCC Stock Market Performance

2020 ◽  
Vol 15 (1) ◽  
pp. 223-242
Author(s):  
Saeed Abdullah
Keyword(s):  
Economic Policy ◽  
Saudi Arabia ◽  
Stock Market ◽  
Policy Uncertainty ◽  
Market Returns ◽  
Stock Market Returns ◽  
Economic Policy Uncertainty ◽  
Gcc Countries ◽  
Stock Market Performance ◽  
Economy Policy

AbstractThe study evaluates the effect of economy policy uncertainty of US on gulf cooperation council (GCC) countries’ stock market returns. The GCC countries are Saudi Arabia, Qatar, UAE, Kuwait, Bahrain and Oman. Granger Causality Tests (GCT) was done primarily to evaluate if economy policy uncertainty granger cause on GCC stock market returns. The analysis established that oil prices granger cause stock market returns for Saudi Arabia, Kuwait and UAE; the same is not true on changes in economic policy uncertainty of US cause on the stock market returns. Changes in economy policy uncertainty in US granger causes on stock market returns of Bahrain. On the other hand, economy policy uncertainty in US does not cause stock market returns in Qatar, UAE, Kuwait and Saudi Arabia. Vector Autoregression (VAR) analysis establishes that economy policy uncertainty in US negatively responds to the stock market returns of the GCC countries.

scholarly journals Sector Volatility Spillover and Economic Policy Uncertainty: Evidence from China’s Stock Market

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1411
Author(s):  
Xiaqing Su ◽  
Zhe Liu
Keyword(s):  
Economic Policy ◽  
Stock Market ◽  
Asset Allocation ◽  
Policy Uncertainty ◽  
Volatility Spillover ◽  
Economic Policy Uncertainty ◽  
Long Run ◽  
Transmission Structure ◽  
Long Term Impact

Following generalized variance decomposition, we identify the transmission structure of financial shock among ten sectors in China. Then, we examine whether economic policy uncertainty (EPU) affects it through GARCH-MIDAS regression. We find that consumer discretionary, industrials, and materials sectors are systemically important industries during the sample period. Further research of dynamic analysis shows that each sector acts in a time-varying role in this structure. The results of the GARCH-MIDAS regression indicate that none of the selected EPU indexes has a significant long-term impact on the total volatility spillover of the inter-sector stock market in China. However, the EPUs do affect some sectors’ spillover indexes in the long run, and they are significantly heterogeneous. This paper can provide regulatory suggestions for policymakers and reasonable asset allocation and risk avoidance methods for investors.

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