Predicting index price based on the COVID-19 cases and deaths
COVID-19 pandemic has impacted global financial market. In this paper, we study the impact of COVID-19 pandemic on four countries indexes which are United Kingdom, United States, Japan and Malaysia to see the effect of the spread of the virus on economy. Based on descriptive analysis, most index mar...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Penerbit Universiti Kebangsaan Malaysia
2021
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| Online Access: | http://journalarticle.ukm.my/18075/1/26.pdf |
| _version_ | 1796932774626590720 |
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| author | Nur Sabrina Razali, R. Nur-Firyal, |
| author_facet | Nur Sabrina Razali, R. Nur-Firyal, |
| author_sort | Nur Sabrina Razali, |
| collection | UKM |
| description | COVID-19 pandemic has impacted global financial market. In this paper, we study the impact of COVID-19 pandemic on four countries indexes which are United Kingdom, United States, Japan and Malaysia to see the effect of the spread of the virus on economy. Based on descriptive analysis, most index market suffer for a short period of time after the World Health Organization (WHO) declared COVID-19 as a pandemic on 11 March 2020. However, most markets manage to get back on track after a few months. We want to see the effect of number of COVID-19 cases and deaths on the index price because we believe that they will impact the economic growth of most countries. This will indirectly impact the countries index market as most businesses could not operate in full scale. Moreover, an increase in number of cases, most countries had to implement a partial or total lockdown which then impact the economic growth. Based on our studies, we conclude that the number of COVID-19 cases and deaths did have an impact on the four countries index price. Prediction analysis shows that the time series linear model can predict index price better than ARIMA model that relies on historical data. As of right now, COVID-19 does have a huge impact on the countries financial market and economic growth. |
| first_indexed | 2024-03-06T04:37:31Z |
| format | Article |
| id | ukm.eprints-18075 |
| institution | Universiti Kebangsaan Malaysia |
| language | English |
| last_indexed | 2024-03-06T04:37:31Z |
| publishDate | 2021 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| record_format | dspace |
| spelling | ukm.eprints-180752022-02-18T01:01:08Z http://journalarticle.ukm.my/18075/ Predicting index price based on the COVID-19 cases and deaths Nur Sabrina Razali, R. Nur-Firyal, COVID-19 pandemic has impacted global financial market. In this paper, we study the impact of COVID-19 pandemic on four countries indexes which are United Kingdom, United States, Japan and Malaysia to see the effect of the spread of the virus on economy. Based on descriptive analysis, most index market suffer for a short period of time after the World Health Organization (WHO) declared COVID-19 as a pandemic on 11 March 2020. However, most markets manage to get back on track after a few months. We want to see the effect of number of COVID-19 cases and deaths on the index price because we believe that they will impact the economic growth of most countries. This will indirectly impact the countries index market as most businesses could not operate in full scale. Moreover, an increase in number of cases, most countries had to implement a partial or total lockdown which then impact the economic growth. Based on our studies, we conclude that the number of COVID-19 cases and deaths did have an impact on the four countries index price. Prediction analysis shows that the time series linear model can predict index price better than ARIMA model that relies on historical data. As of right now, COVID-19 does have a huge impact on the countries financial market and economic growth. Penerbit Universiti Kebangsaan Malaysia 2021-09 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/18075/1/26.pdf Nur Sabrina Razali, and R. Nur-Firyal, (2021) Predicting index price based on the COVID-19 cases and deaths. Sains Malaysiana, 50 (9). pp. 2833-2846. ISSN 0126-6039 https://www.ukm.my/jsm/malay_journals/jilid50bil9_2021/KandunganJilid50Bil9_2021.html |
| spellingShingle | Nur Sabrina Razali, R. Nur-Firyal, Predicting index price based on the COVID-19 cases and deaths |
| title | Predicting index price based on the COVID-19 cases and deaths |
| title_full | Predicting index price based on the COVID-19 cases and deaths |
| title_fullStr | Predicting index price based on the COVID-19 cases and deaths |
| title_full_unstemmed | Predicting index price based on the COVID-19 cases and deaths |
| title_short | Predicting index price based on the COVID-19 cases and deaths |
| title_sort | predicting index price based on the covid 19 cases and deaths |
| url | http://journalarticle.ukm.my/18075/1/26.pdf |
| work_keys_str_mv | AT nursabrinarazali predictingindexpricebasedonthecovid19casesanddeaths AT rnurfiryal predictingindexpricebasedonthecovid19casesanddeaths |