DCC Analysis of the Two Stock Market Returns by a Threshold Model: Empirical Study of the Stock Markets in Japan and Canada

Article Preview

Abstract:

The empirical results show that the dynamic conditional correlation (DCC) and the bivariate asymmetric-IGARCH (1, 2) model is appropriate in evaluating the relationship of the Japan’s and the Canada’s stock markets. The empirical result also indicates that the Japan and the Canada’s stock markets is a positive relation. The average estimation value of correlation coefficient equals to 0.2514, which implies that the two stock markets is synchronized influence. Besides, the empirical result also shows that the Japan’s and the Canada’s stock markets have an asymmetrical effect, and the variation risks of the Japan’s and the Canada’s stock market returns also receives the influence of the good and bad news, respectively.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 468-471)

Pages:

181-185

Citation:

Online since:

February 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] H. Akaike: Information theory and an extension of the maximum likelihood principle. In 2nd. International Symposium on Information Theory, edited by B. N. Petrov and F. C. Budapest: Akademiai Kiado, (1973), pp.267-281.

Google Scholar

[2] E.K. Berndt, B.H. Hall, R.E. Hall, and J.A. Hausman: Estimation and inference in nonlinear structural models. Annals of Economic and Social Measurement, Vol. 4 (1974), pp.653-665.

Google Scholar

[3] D.A. Dickey, and W.A. Fuller: Distribution of the Estimators for Autoregressive Time Series with a Unit Root. Journal of the American Statistical Association, Vol. 74 (1979), pp.427-431.

DOI: 10.1080/01621459.1979.10482531

Google Scholar

[4] R.F. Engle: Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom Inflation. Econometrica, Vol. 50 (1982), pp.987-1007.

DOI: 10.2307/1912773

Google Scholar

[5] R.F. Engle, and V.K Ng: Measuring and Testing the Impact of News on Volatility. Journal of Finance Vol.48(5) (1993), pp.1749-1777.

Google Scholar

[6] R.F. Engle: Dynamic conditional correlation- a simple class of multivariate GARCH models. Journal of Business and Economic Statistics, Vol. 20 (2002), pp.339-350.

DOI: 10.1198/073500102288618487

Google Scholar

[7] L.R. Glosten, R. Jagannathan, and D. Runkle: On the Relation Between the Expected Value and the Volatility on the Nominal Excess Returns on Stocks. Journal of Finance, Vol. 48 (1993), pp.1779-1801.

DOI: 10.1111/j.1540-6261.1993.tb05128.x

Google Scholar

[8] S. Hammoudeh, H. Li, and B. Jeon: Causality and volatility spillovers among petroleum prices of WTI, gasoline and heating oil in different locations. North. American Journal of Economics and Finance, Vol. 13(1) (2003), pp.89-114.

DOI: 10.1016/s1062-9408(02)00112-2

Google Scholar

[9] S. Hammoudeh, S. Dibooglu, and E. Aleisa: Relationships among U.S. oil prices and oil industry equity indices. International Review of Economics and Finance, Vol. 13 (2004), pp.427-453.

DOI: 10.1016/s1059-0560(03)00011-x

Google Scholar

[10] S. Johansen: Estimation and Hypothesis Testing of Cointegration Vector in Gaussian Vector Autoregressive Models. Econometrica, Vol. 59 (1991), pp.1551-1580.

DOI: 10.2307/2938278

Google Scholar

[11] G.M. Ljung, and G.E.P. Box: On a measure of lack of fit in time series models. Biometrika, Vol. 65 (1978), pp.297-303.

DOI: 10.1093/biomet/65.2.297

Google Scholar

[12] R.S. Tsay: Analysis of Financial Time Series. New York: John Wiley & Sons, Inc (2004).

Google Scholar

[13] Y.K. Tse, and Albert K.C. Tsui: A multivariate GARCH model with time-varying correlations. Journal of Business & Economic Statistics, Vol. 20 (2002), pp.351-362.

DOI: 10.1198/073500102288618496

Google Scholar

[14] G. Kapetanios, Y. Shin, and A. Snell: Testing for a unit root in the nonlinear STAR framework. Journal of Econometrics, Vol. 112(2) (2003), pp.359-379.

DOI: 10.1016/s0304-4076(02)00202-6

Google Scholar

[15] W.J. Horng and J.M., Chyan: An impact of high and low oil price periods' volatility for two stock market returns: study of Singapore and Hong Kong's stock markets. Advances in Information Science and Service Sciences, Vol. 2(1) (2010), pp.43-56.

DOI: 10.4156/aiss.vol1.issue1.4

Google Scholar