Uncovering the effect of news signals on daily stock market performance : an econometric analysis

Shahid Raza, Sun Baiqing, Pwint Kay-Khine and Muhammad Ali Kemal

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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Year of publication:	2023
Authors:	Raza, Shahid ; Sun, Baiqing ; Kay-Khine, Pwint ; Kemal, Muhammad Ali
Subject:	stock market \| KSE-100 index \| OLS \| ARCH \| GARCH \| Pakistan Stock Exchange \| Pakistan \| Aktienmarkt \| Stock market \| ARCH-Modell \| ARCH model \| Börsenkurs \| Share price \| Schätzung \| Estimation \| Börsenhandel \| Stock exchange trading \| Aktienindex \| Stock index \| Zeitreihenanalyse \| Time series analysis \| Kapitaleinkommen \| Capital income

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Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.3390/ijfs11030099 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014419406