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The forecastability of equity market returns: an empirical investigation of Chinese equity markets

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dc.contributor.advisor O'Brien, Fergal
dc.contributor.advisor Ryan, James
dc.contributor.author Hong, Hui
dc.date.accessioned 2015-01-15T18:39:00Z
dc.date.available 2015-01-15T18:39:00Z
dc.date.issued 2014
dc.identifier.uri http://hdl.handle.net/10344/4231
dc.description peer-reviewed en_US
dc.description.abstract This thesis is concerned with the predictability of equity market performance in China while accounting for the possibility of model instability. The study of return predictability, particularly that on time-varying investment opportunities, is however, not that common and knowledge regarding trading strategies within the Chinese financial market is relatively scarce. Previous return predictability studies have not focused on economic gains in context of asset allocation nor attempted to consider the instability in model parameters when evaluating forecasting performance/making forecasts of equity returns. In the existing literature on the Chinese market, there has been little attempt to analyse return predictability in equity markets. It is in light of a noticeable deficiency in return predictability research within a Chinese context that the kernel of this research is concerned. Specifically, this thesis examines the statistical and the economic significance on the predictability of both equity market downturns and equity market returns in China while allowing for model instability. Conducting this research in different equity markets and comparing against each other provides a basis on which to address some of the knowledge deficit in this area. The objective of this research, therefore, questions the predictability of equity market performance in China. Specifically, it questions whether predictor variables, including those under macroeconomic, sentiment, and technical categories are able to predict and affect differences in the behavior of domestic equity markets. The research approach is based on a quantitative approach using statistical tests well documented in the literature. A naturally deductive research process emerged as the methodological paradigm of choice in this instance. Primarily an empirical approach was selected and ultimately the study examined the return performance of a population of 3 equity market indices in China based on 43 predictor variables. The results show that Chinese equity markets tend not to be efficient, with investors being able to trade on the basis of inflation-related information. They also show that statistical significance does not necessarily lead to an economic value given that these measure different elements of forecasting ability. As evidenced in this study, several predictor variables with statistically significant forecasting ability do not generate excess returns when used as the basis for market timing strategies. In addition, the domestic equity markets, particularly the Shanghai and the Shenzhen markets, are driven by different underlying dynamics. As with previous studies, the findings provide evidence that model instability is an important source of investment risks, which may significantly influence the degree of return predictability and consequently affect investors’ long-term wealth. It is therefore essential to take into account the possibility of model instability when making asset allocation decisions. Overall, the results highlight that return predictability varies through time in Chinese equity markets. en_US
dc.language.iso eng en_US
dc.publisher University of Limerick en_US
dc.subject Chinese financial market en_US
dc.subject equity market en_US
dc.subject China en_US
dc.subject financial market en_US
dc.title The forecastability of equity market returns: an empirical investigation of Chinese equity markets en_US
dc.type info:eu-repo/semantics/doctoralThesis en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.type.supercollection ul_theses_dissertations en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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