This paper discusses the model construction and the association between the Italy and the Germany’s stock markets. The study data period is from January 3, 2000 to June 30, 2008. This paper also utilizes Student's t distribution to analyze the proposed model. The empirical results show that the two stock markets are mutually affected each other, and the dynamic conditional correlation (DCC) and the bivariate asymmetric-GARCH (1, 2) model is appropriate in evaluating the relation between them. The empirical result also indicates that the Italy and the Germany’s stock market is a positive relationship. The average value of correlation coefficient equals to 0.8424, which implies that the two stock markets return volatility has a synchronized influence on each other. In addition to the empirical result also shows that there is an asymmetrical effect between the Italy and the Germany’s stock markets. Empirical result also demonstrates that the good news and bad news of the stock returns’ volatility will produce the different variation risks of the Italy and the Germany stock price markets.
Business And Information 2009，起迄日：2009/7/6~2009/7/8，地點：吉隆坡