Abstract: Using an intraday LM non-parameter jump detection technique in a multivariate framework, firm-specific information disclosure and its impact on stock price reaction are explored in this paper. The three common avenues are linked for information disclosure:analyst recommendations, earnings announcements, and management guidance with jump in price, the sample consists of stocks listed on the Shanghai 180 index for the two year period between January 2012 and December 2013. After controlling for confounding events and through multivariate logistic regression based on two different models, empirical research indicates that management guidance are more likely than either earnings announcements or analyst recommendations to cause a stock price jump, and analyst recommendations are not so appear informative in China. Meanwhile, although the paper can reveal that relative importance of recommendations, earnings announcements and guidance to investment decision, but those information collectively explain only 20% of all firm-specific jumps calculated using the nonparametric intraday jumps detection in high frequency data. Even considering the impact of macroeconomic news releases or industry information on volatility and prices, the rate only increase to 40%. Thus, more research needs to be done to identify the types of other unknown events that cause jumps in the market.

Key words: price jump, information disclosure, intraday price discovery, high frequency data