 Asymmetric relationship between stock market returns and macroeconomic variablesN. Chitra Devi and S. Chandramohan International Journal of Business Forecasting and Marketing Intelligence, 2016, vol. 2, issue 2, 79-94 Abstract: The aim of the study is to examine the relationship between stock market returns and key macroeconomic variables in the UK. The method of Ordinary Least Square has been applied to find out the nexus between stock market returns and macroeconomic variables in the UK. The study reveals that the application of ordinary least square has not been BLUE due to the existence of conditional heteroskedasticity which is confirmed by the ARCH-LM test. Therefore, symmetric and asymmetric GARCH models have been employed to find out the nexus between macroeconomic variables with the stock market returns. The performance of symmetric and asymmetric models are compared using the model selection criterion namely Akaike information criterion which suggests that the EGARCH model is the best model in the UK. The result of the EGARCH model reveals that the impact of news on stock market returns is asymmetric in the UK stock market. Keywords: macroeconomic variables; stock returns; GARCH models; asymmetric relationships; UK; United Kingdom; ordinary least squares; OLS. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbfmi:v:2:y:2016:i:2:p:79-94 Access Statistics for this article More articles in International Journal of Business Forecasting and Marketing Intelligence from Inderscience Enterprises Ltd |
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