Dynamic Correlation Analysis of Asian Stock Markets

2012 ◽  
Vol 18 (2) ◽  
pp. 227-237 ◽  
Author(s):  
Jae-Kwang Hwang
Keyword(s):  
Correlation Analysis ◽  
Stock Markets ◽  
Dynamic Correlation

POWER LAW AND STRETCHED EXPONENTIAL EFFECTS OF EXTREME EVENTS IN CHINESE STOCK MARKETS

2010 ◽  
Vol 09 (02) ◽  
pp. 203-217 ◽  
Author(s):  
XIAOJUN ZHAO ◽  
PENGJIAN SHANG ◽  
YULEI PANG
Keyword(s):  
Correlation Analysis ◽  
Power Law ◽  
Extreme Events ◽  
Stock Markets ◽  
Cross Correlation ◽  
Extreme Values ◽  
Cumulative Distribution ◽  
Stretched Exponential ◽  
Cross Correlation Analysis ◽  
Chinese Stock Markets

This paper reports the statistics of extreme values and positions of extreme events in Chinese stock markets. An extreme event is defined as the event exceeding a certain threshold of normalized logarithmic return. Extreme values follow a piecewise function or a power law distribution determined by the threshold due to a crossover. Extreme positions are studied by return intervals of extreme events, and it is found that return intervals yield a stretched exponential function. According to correlation analysis, extreme values and return intervals are weakly correlated and the correlation decreases with increasing threshold. No long-term cross-correlation exists by using the detrended cross-correlation analysis (DCCA) method. We successfully introduce a modification specific to the correlation and derive the joint cumulative distribution of extreme values and return intervals at 95% confidence level.

Relationship between different sources of geopolitical risks and stock markets in the GCC region: a dynamic correlation analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdullah Alqahtani ◽  
Shawkat Hammoudeh ◽  
Refk Selmi
Keyword(s):  
Stock Returns ◽  
Stock Markets ◽  
Risk Index ◽  
Saudi Arabian ◽  
Gulf Region ◽  
Content Type ◽  
Dynamic Correlation ◽  
Hedging Strategies ◽  
Gcc Countries ◽  
Geopolitical Risks

PurposeThe findings would help in designing useful and relevant hedging strategies against geopolitical risks (GPRs), which are rampant in the Gulf Cooperation Council (GCC) region.Design/methodology/approachThis study focuses on the regional and global costs of GPRs for businesses in the Gulf region.FindingsThe results of the analysis show that the time-varying conditional correlation between the stock returns of the GCC countries and the Saudi Arabian geopolitical risk is consistently negative, suggesting that the Saudi Arabian geopolitical risk hurts the GCC stock markets, thus underscoring the importance of studying regional GPRs.Originality/valueThe contribution of this paper is twofold: First, it uses a newly geopolitical risk index that includes recent geopolitical events not included in the Caldara and Iacoviello (2018) index. In addition to war threats and acts, terrorist threats and acts and nuclear threats, the authors consider global trade tensions (GTTs), Saudi Arabia's geopolitical risk and OPEC news mainly related to OPEC oil production levels. Second, it assesses whether Saudi Arabia, which is the largest economy in the region and the main global oil exporter, is really a risk exporter to the rest of the GCC countries.

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