An empirical analysis of Chinese stock price anomalies and volatility

dc.contributor.authorLuo, Jin
dc.date.accessioned2010-07-02T04:25:54Z
dc.date.issued2007
dc.description.abstractDay-of-the week anomalies and monthly effect have proven to be persistent in many of the developed stock markets (Robert, 1987; Gultekin, 1983; Cross, 1973;) as well as the emerging stock markets (Mohammad, 1987; Balaban, 1995; Ho, 1999). Chinese stock market is new to the global financial markets, but it experienced rapid growth over the last two decades. The 1997 Asian financial crisis was a major regional crisis that significantly increased volatility in several markets. This study empirically analyzes the stock return anomalies and volatility of the Shanghai and Shenzhen stock markets and examines whether the 1997 Asian financial crisis has influenced on stock price anomalies and volatility in the Chinese stock markets. The AR(1), GARCH (1,1) models are employed to test the day-of-the-week effect in Chinese stock markets. The results show the 1997 Asian financial crisis changed stock price pattern and volatility in A-Share and B-share markets. This study can benefit the investors who may exploit the predictable pattern in asset returns and make abnormal returns. The study also provides useful information to policy makers so they can adjust the existing policies or implement new policies.en
dc.identifier.urihttps://hdl.handle.net/10182/2189
dc.identifier.wikidataQ112870486
dc.language.isoen
dc.publisherLincoln University
dc.rights.accessRightsDigital thesis can be viewed by current staff and students of Lincoln University only. If you are the author of this item, please contact us if you wish to discuss making the full text publicly available.en
dc.subjectfinancial marketen
dc.subjectAsian financial crisisen
dc.subjectstock market anomaliesen
dc.subjectvolatilityen
dc.subjectChina stock marketen
dc.subjectstock return volatilityen
dc.subjectstock market liberalisationen
dc.titleAn empirical analysis of Chinese stock price anomalies and volatilityen
dc.typeThesis
lu.contributor.unitLincoln University
lu.contributor.unitFaculty of Agribusiness and Commerce
pubs.publication-statusPublisheden
thesis.degree.grantorLincoln Universityen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Commerce and Managementen
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