DocumentCode
620469
Title
The risk linkage effects of stock indexes based on quantile regression and granger causality test
Author
Liu Qian ; Li Yongli ; Wu Chong
Author_Institution
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
fYear
2013
fDate
25-27 May 2013
Firstpage
4252
Lastpage
4257
Abstract
The scholars have paid extensive attention to the risk of fluctuations in the stock market after the financial crisis, and their main method of risk management is still VaR(Value at Risk). On the basis of traditional methods, this article innovative uses the quantile regression methods to calculate the VaR value in the major indexes of the four global securities markets, the Shanghai Composite Index, the Nikkei index, the British FTSE index and the U.S. Dow Jones Industrial average index, and based on the results of quantile regression , the article uses the Granger causality test to examine risk linkage effects of these four indexes, the results show that: the risk of China-US securities market linkage effect is not obvious.
Keywords
regression analysis; risk management; securities trading; British FTSE index; China-US securities market linkage effect; Granger causality test; Nikkei index; Shanghai composite index; US Dow Jones industrial average index; VaR value; global securities markets; quantile regression methods; risk linkage effects; risk management; stock indexes; stock market; value at risk; Decision support systems; World Wide Web; Causality Test; Linkage Effects; Quantile Regression; Security Market; Volatility Risk;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561698
Filename
6561698
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