This paper studies the relationship between the permanent and transitory components of the conditional variance and the frequency and intensity of jump of return. We use a new ARJI-Trend model to capture the daily data of American Dow Jones Industrial Index and S&P500 Index with a structural break analysis by Bai and Perron (2003). We find that both permanent and transitory components of the conditional variance are really exist in the whole sample period. The permanent component increase during the event occurrence and the transitory component increase larger at the same time. Jump intensity also makes a large change as the transitory component of the conditional variance increase when abnormal event occur.