The Modeling of Jakarta Composite Index Data Before and During COVID-19 Pandemic and its Alignment into Government Policy in Energy Sector

The COVID-19 pandemic brings significant effects to the global stock market, including Indonesia. This study investigates the behavior and fluctuation of Jakarta Composite Index (JKSE) before the COVID-19 pandemic arises (2018–2019) and 2 years during the COVID-19 pandemic (2020–2021) and its alignm...

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Published in:WSEAS Transactions on Business and Economics
Main Author: Kurniasari F.; Endarto E.; Dewi H.; Dewi C.S.; Nizar N.
Format: Article
Language:English
Published: World Scientific and Engineering Academy and Society 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151545991&doi=10.37394%2f23207.2023.20.64&partnerID=40&md5=368ca913da0ebeea6dfde8aba0cdda44
id 2-s2.0-85151545991
spelling 2-s2.0-85151545991
Kurniasari F.; Endarto E.; Dewi H.; Dewi C.S.; Nizar N.
The Modeling of Jakarta Composite Index Data Before and During COVID-19 Pandemic and its Alignment into Government Policy in Energy Sector
2023
WSEAS Transactions on Business and Economics
20

10.37394/23207.2023.20.64
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151545991&doi=10.37394%2f23207.2023.20.64&partnerID=40&md5=368ca913da0ebeea6dfde8aba0cdda44
The COVID-19 pandemic brings significant effects to the global stock market, including Indonesia. This study investigates the behavior and fluctuation of Jakarta Composite Index (JKSE) before the COVID-19 pandemic arises (2018–2019) and 2 years during the COVID-19 pandemic (2020–2021) and its alignment with the government policy in the energy sector. This study will use the JKSE data before and during the Covid-19 pandemic. The study showed that before COVID-19 pandemic, the JKSE was in normal conditions and showed an increasing trend. However, the study found anomalies in the JKSE volatility when COVID-19 pandemic was officially announced in Indonesia during 1st quarter 2020. This study is able to find the forecasted next 30 days best models that can describe the pattern of JKSE data are AR (2)–GARCH (1,1) models for the closing price of JKSE data before the COVID-19 pandemic and AR (5)–GARCH (1,1) models for the closing price of JKSE data during the COVID-19 pandemic. With the government economic recovery program related to the energy sector, this study was able to forecast the next 30 days for the closing price of JKSE during COVID-19, which showed the improvement of JKSE into the small increasing trend. These findings are expected to increase public investor trust, especially foreign investors investing their money in the JKSE. The positive trend in JKSE will ensure the government continues its economic policy recovery plan. © 2023, World Scientific and Engineering Academy and Society. All rights reserved.
World Scientific and Engineering Academy and Society
11099526
English
Article
All Open Access; Gold Open Access
author Kurniasari F.; Endarto E.; Dewi H.; Dewi C.S.; Nizar N.
spellingShingle Kurniasari F.; Endarto E.; Dewi H.; Dewi C.S.; Nizar N.
The Modeling of Jakarta Composite Index Data Before and During COVID-19 Pandemic and its Alignment into Government Policy in Energy Sector
author_facet Kurniasari F.; Endarto E.; Dewi H.; Dewi C.S.; Nizar N.
author_sort Kurniasari F.; Endarto E.; Dewi H.; Dewi C.S.; Nizar N.
title The Modeling of Jakarta Composite Index Data Before and During COVID-19 Pandemic and its Alignment into Government Policy in Energy Sector
title_short The Modeling of Jakarta Composite Index Data Before and During COVID-19 Pandemic and its Alignment into Government Policy in Energy Sector
title_full The Modeling of Jakarta Composite Index Data Before and During COVID-19 Pandemic and its Alignment into Government Policy in Energy Sector
title_fullStr The Modeling of Jakarta Composite Index Data Before and During COVID-19 Pandemic and its Alignment into Government Policy in Energy Sector
title_full_unstemmed The Modeling of Jakarta Composite Index Data Before and During COVID-19 Pandemic and its Alignment into Government Policy in Energy Sector
title_sort The Modeling of Jakarta Composite Index Data Before and During COVID-19 Pandemic and its Alignment into Government Policy in Energy Sector
publishDate 2023
container_title WSEAS Transactions on Business and Economics
container_volume 20
container_issue
doi_str_mv 10.37394/23207.2023.20.64
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85151545991&doi=10.37394%2f23207.2023.20.64&partnerID=40&md5=368ca913da0ebeea6dfde8aba0cdda44
description The COVID-19 pandemic brings significant effects to the global stock market, including Indonesia. This study investigates the behavior and fluctuation of Jakarta Composite Index (JKSE) before the COVID-19 pandemic arises (2018–2019) and 2 years during the COVID-19 pandemic (2020–2021) and its alignment with the government policy in the energy sector. This study will use the JKSE data before and during the Covid-19 pandemic. The study showed that before COVID-19 pandemic, the JKSE was in normal conditions and showed an increasing trend. However, the study found anomalies in the JKSE volatility when COVID-19 pandemic was officially announced in Indonesia during 1st quarter 2020. This study is able to find the forecasted next 30 days best models that can describe the pattern of JKSE data are AR (2)–GARCH (1,1) models for the closing price of JKSE data before the COVID-19 pandemic and AR (5)–GARCH (1,1) models for the closing price of JKSE data during the COVID-19 pandemic. With the government economic recovery program related to the energy sector, this study was able to forecast the next 30 days for the closing price of JKSE during COVID-19, which showed the improvement of JKSE into the small increasing trend. These findings are expected to increase public investor trust, especially foreign investors investing their money in the JKSE. The positive trend in JKSE will ensure the government continues its economic policy recovery plan. © 2023, World Scientific and Engineering Academy and Society. All rights reserved.
publisher World Scientific and Engineering Academy and Society
issn 11099526
language English
format Article
accesstype All Open Access; Gold Open Access
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