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peer-reviewed, 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 varia

peer-reviewed, 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 varia

peer-reviewed, 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 varia

peer-reviewed, 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 varia

peer-reviewed, 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 varia