Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Daily Stock Movements Through the Lens of Event and News: Evidence from the Pakistan Stock Exchange

Version 1 : Received: 14 June 2021 / Approved: 16 June 2021 / Online: 16 June 2021 (12:40:07 CEST)

How to cite: Raza, S.; Sun, B.; Khine, P.K. Daily Stock Movements Through the Lens of Event and News: Evidence from the Pakistan Stock Exchange. Preprints 2021, 2021060444 (doi: 10.20944/preprints202106.0444.v1). Raza, S.; Sun, B.; Khine, P.K. Daily Stock Movements Through the Lens of Event and News: Evidence from the Pakistan Stock Exchange. Preprints 2021, 2021060444 (doi: 10.20944/preprints202106.0444.v1).

Abstract

This study will investigate different signals and events/news that determined the stock market's movements. As we know, many factors affect the stock market on a daily, weekly, and monthly basis, e.g., rate of interest, exchange rate, and oil prices, etc. Our research will investigate the impact of daily events/news in the KSE-100 index due to several policies announced and events/news in the country because the daily movements in the stock market can be determined only by different signals and events/news. Time series data is collected daily for particular reasons from "The News" (Daily Newspaper, Sunday edition) from 2010 to 2019. The results of this study show that political and global news affects the stock market index ferociously. For investors, the investment in blue chips is not less than a safe haven. When day-to-day transactions are concerned, there is always a higher panic attack than the herd behaviour in the stock exchange. Investors tend to make prompt responses to negative rather than positive news, which makes them risk averters. Our finding also confirmed that the ARCH/GARCH model is better than the simple OLS method concerning stock market upheaval.

Subject Areas

Stock Market; Financial Markets; News Model; KSE 100 Index; ARCH/GARCH; OLS

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