Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/316479 
Year of Publication: 
2021
Citation: 
[Journal:] Islamic Economic Studies (IES) [ISSN:] 2411-3395 [Volume:] 29 [Issue:] 1 [Year:] 2021 [Pages:] 50-66
Publisher: 
Emerald, Bingley
Abstract: 
Purpose The purpose of the study is to measure cross-country stock market correlation and volatility transmission during the global coronavirus disease 2019 (COVID-19) pandemic. The paper traces trajectory of Islamic equity investments in order to get insights on the behavior of the markets during the crisis. Design/methodology/approach The paper uses generalized method of moments (GMM), autoregressive distributed lag (ARDL) and multivariate GARCH (MGARCH) models for analysis of dynamic causality, stock market cointegration, correlation and volatility transmission between Islamic stock indices. Findings The result of normal correlation analysis on the share indices show the markets move together. The result of ARDL cointegration test shows the markets returns are cointegrated as a group. To further make sense of the data; the indices were grouped into four different categories, then cointegration tests were conducted. The results of the analysis show that the subgroups are cointegrated except the low COVID-19 subgroup. Based on MGARCH findings, the possibility of volatility transmission between markets during the crisis is high. The market returns indices show the usual herd mentality common during the period of crisis. Originality/value Unlike other works in this area, this paper attempt to trace the trajectory of Islamic equity investment in order to get relevant insights and arrives at appropriate ways of responding to the crisis.
Subjects: 
ARDL
Cross-country correlation
GMM
International finance
Islamic finance
Islamic index
MGARCH
Stock exchange
JEL: 
F3
F6
G2
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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