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Stock Market Volatility and the COVID-19 Pandemic in Sri Lanka

Mohamed Ismail Mohamed Riyath (Department of Accountancy and Finance, Faculty of Management and Commerce, South Eastern University of Sri Lanka, Oluvil, Sri Lanka)
Narayanage Jayantha Dewasiri (Department of Accountancy & Finance, Faculty of Management Studies, Sabaragamuwa University of Sri Lanka, Sri Lanka)
Mohamed Abdul Majeed Mohamed Siraju (Capital Works and Planning Division, Eastern University, Sri Lanka, Vantharumoolai, Chenkalady, Sri Lanka)
Simon Grima (Department of Insurance and Risk Management, Faculty of Economics, Management and Accountancy, University of Malta, Msida, Malta)
Abdul Majeed Mohamed Mustafa (Department of Management, Faculty of Management and Commerce, South Eastern University of Sri Lanka, Oluvil, Sri Lanka)

VUCA and Other Analytics in Business Resilience, Part A

ISBN: 978-1-83753-903-1, eISBN: 978-1-83753-902-4

Publication date: 13 May 2024

Abstract

Purpose: This chapter examines the effect of COVID-19 on the stock market volatility (SMV) in the Colombo Stock Exchange (CSE), Sri Lanka.

Need for the Study: The study is necessary to understand investor behaviour, market efficiency, and risk management strategies during a global crisis.

Methodology: Utilising daily All Share Price Index (ASPI) data from 2 January 2018 to 31 August 2021, the data are divided into subsamples corresponding to the pre-pandemic period, the pandemic period, and distinct waves of the pandemic. The impact of the pandemic is investigated using the Mann–Whitney U test, the Kruskal–Wallis test, and the Exponential Generalised Autoregressive Conditional Heteroscedasticity (EGARCH) model.

Findings: The pandemic considerably affected CSE – the Mann–Whitney U test produced different market returns during the pre-COVID and COVID eras. The Kruskal–Wallis test improved performance during COVID-19 but did not continue to do so across COVID-19 waves. The EGARCH model detected increased volatility and risk during the first wave, but the second and third waves outperformed the first. COVID-19 had a minimal overall effect on CSE market results. GARCH and Autoregressive Conditional Heteroskedasticity (ARCH) models identified long-term variance memory and volatility clustering. The News Impact Curve (NIC) showed that negative news had a more significant impact on market return volatility than positive news, even if the asymmetric term was not statistically significant.

Practical Implications: This study offers significant insight into how Sri Lanka’s SMV is affected by COVID-19. The findings help create efficient mitigation strategies to mitigate the negative consequences of future events.

Keywords

Citation

Riyath, M.I.M., Dewasiri, N.J., Siraju, M.A.M.M., Grima, S. and Mustafa, A.M.M. (2024), "Stock Market Volatility and the COVID-19 Pandemic in Sri Lanka", Singh, D., Sood, K., Kautish, S. and Grima, S. (Ed.) VUCA and Other Analytics in Business Resilience, Part A (Emerald Studies in Finance, Insurance, and Risk Management), Emerald Publishing Limited, Leeds, pp. 151-168. https://doi.org/10.1108/978-1-83753-902-420241007

Publisher

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Emerald Publishing Limited

Copyright © 2024 Mohamed Ismail Mohamed Riyath, Narayanage Jayantha Dewasiri, Mohamed Abdul Majeed Mohamed Siraju, Simon Grima and Abdul Majeed Mohamed Mustafa