Title :
An Asymmetric and DCC Analysis of Two Stock Markets Return: An Evidence Study of the U.S. and the Canada´s Stock Markets
Author :
Wann-Jyi Horng ; Jui-Chen Chang ; Ming-Chi Huang
Author_Institution :
Dept. of Hosp. & Health Care Adm., Chia Nan Univ. of Pharmacy & Sci., Tainan, Taiwan
fDate :
June 30 2009-July 2 2009
Abstract :
The empirical results show that the dynamic conditional correlation (DCC) and the bivariate asymmetric-IGARCH (1, 1) model is appropriate in evaluating the relationship of the U.S. and the Canadapsilas stock markets. The empirical result also indicates that the U.S. and the Canadapsilas stock markets is a positive relation. The average estimation value of correlation coefficient equals to 0.669, which implies that the two stock markets is synchronized influence. Besides, the empirical result also shows that the U.S. and the Canadapsilas stock markets have an asymmetrical effect, and the variation risks of the U.S. and the Canadapsilas stock market returns also receives the influence of the positive and negative of the itself return ratepsila volatility.
Keywords :
correlation methods; stock markets; Canada stock market; US stock market; bivariate asymmetric-IGARCH model; dynamic conditional correlation; Electronic mail; Fuel economy; Gaussian distribution; Hospitals; Information analysis; Medical services; Power generation economics; Statistical distributions; Stock markets; Testing; Bivariate IGARCH model; DCC; Stock return; asymmetric effect;
Conference_Titel :
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3687-3
DOI :
10.1109/NISS.2009.108