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All Journal Journal of Economics, Business, & Accountancy Ventura
Susilo, Sylvia
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Economics, Econometrics & Finance

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COVID-19’s Damages on International Stock Markets Susilo, Sylvia; Sukamulja, Sukmawati
Journal of Economics, Business, and Accountancy Ventura Vol. 25 No. 1 (2022): April - July 2022
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v25i1.2999

Abstract

This research aims to analyze the effect of pandemic that hit the world: COVID-19 on return of the international stock market from March 11, 2020 until March 11, 2022. COVID-19 is measured by growth in cases and death. The novelty from this research is the use of 30 countries with the highest COVID-19’s cases. Methods of analysis used in this research are Error Correction Model (ECM) and Granger’s Causality Test using EViews 10. ECM’s result on X1 to Y show a significant effect on 22 countries in long-term and 22 countries in short-term. X2 and Y in ECM’s result show a significant effect on 23 countries in long-term and 26 countries in short-term. Two-way causality on X1 and Y occurred in 25 countries. Variables X2 and Y showed two-way causality on 28 countries. This research conducted to contribute for research and observation of the phenomenon that currently engulfing the world, COVID-19 pandemic.
COVID-19’s Damages on International Stock Markets Susilo, Sylvia; Sukamulja, Sukmawati
Journal of Economics, Business, and Accountancy Ventura Vol. 25 No. 1 (2022): April - July 2022
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v25i1.2999

Abstract

This research aims to analyze the effect of pandemic that hit the world: COVID-19 on return of the international stock market from March 11, 2020 until March 11, 2022. COVID-19 is measured by growth in cases and death. The novelty from this research is the use of 30 countries with the highest COVID-19’s cases. Methods of analysis used in this research are Error Correction Model (ECM) and Granger’s Causality Test using EViews 10. ECM’s result on X1 to Y show a significant effect on 22 countries in long-term and 22 countries in short-term. X2 and Y in ECM’s result show a significant effect on 23 countries in long-term and 26 countries in short-term. Two-way causality on X1 and Y occurred in 25 countries. Variables X2 and Y showed two-way causality on 28 countries. This research conducted to contribute for research and observation of the phenomenon that currently engulfing the world, COVID-19 pandemic.
Co-Authors Sukmawati Sukamulja