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The risk linkage effects of stock indexes based on quantile regression and granger causality test

  • School of Management, Harbin Institute of Technology
  • Harbin University of Commerce

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2013 25th Chinese Control and Decision Conference, CCDC 2013
Pages4252-4257
Number of pages6
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 25th Chinese Control and Decision Conference, CCDC 2013 - Guiyang, China
Duration: 25 May 201327 May 2013

Publication series

Name2013 25th Chinese Control and Decision Conference, CCDC 2013

Conference

Conference2013 25th Chinese Control and Decision Conference, CCDC 2013
Country/TerritoryChina
CityGuiyang
Period25/05/1327/05/13

Keywords

  • Causality Test
  • Linkage Effects
  • Quantile Regression
  • Security Market
  • Volatility Risk

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