Media coverage and stock market returns: Evidence from China Pakistan economic corridor (CPEC)

The stock markets in developing countries are highly responsive to breaking news and events. Our research explores the impact of economic conditions, financial policies, and politics on the KSE-100 index through daily market news signals. Utilizing simple OLS regression and ARCH/GARCH regression methods, we determine the best model for analysis. The results reveal that political and global news has a significant impact on KSE-100 index. Blue chip stocks are considered safer investments, while short-term panic responses often overshadow rational decision-making in the stock market. Investors tend to quickly react to negative news, making them risk-averse. Our findings suggest that the ARCH/GARCH models are better at predicting stock market fluctuations compared to the simple OLS method.

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Media coverage and stock market returns: Evidence from China Pakistan economic corridor (CPEC)

Cited by 3 publications

References 44 publications

Maximizing the impact of megaprojects: Urgent implications of financial inclusion drive for effective anti-poverty measures

Maximizing the impact of megaprojects: Urgent implications of financial inclusion drive for effective anti-poverty measures

Investor sentiment and market returns: A multi-horizon analysis

Uncovering the Effect of News Signals on Daily Stock Market Performance: An Econometric Analysis

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