Title :
The information content of high, low and close prices
Author :
Ouyang, Hongbing
Author_Institution :
Sch. of Econ., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
This paper attempts to reveal the predictability of candlestick analysis to future price and volatility. We find that high and low price series are more sensitive to price volatility than close prices. Difference of high and low price series is more effective to forecast volatility. More importantly, we find that there exists cointegration relationship among high, low and close price series. In the long run, close prices are more likely to be affected by high and low prices of past trading day.
Keywords :
share prices; candlestick analysis predictability; close prices; cointegration relationship; future price; high price series; information content; low price series; price volatility; Correlation; Economics; Estimation; Finance; Lead; Predictive models; Time series analysis; Daily High and Low; Efficient Market; Multivariate Cointegration; Technical analysis;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6011140