COVID-19 PANDEMIC EVENTS AND PHILIPPINE STOCK MARKET PERFORMANCE: TESTING FOR MULTIPLE BREAKPOINTS

Charisse Prince R. Pinili, John Vianne Murcia
{"title":"COVID-19 PANDEMIC EVENTS AND PHILIPPINE STOCK MARKET PERFORMANCE: TESTING FOR MULTIPLE BREAKPOINTS","authors":"Charisse Prince R. Pinili, John Vianne Murcia","doi":"10.46827/ejefr.v7i3.1543","DOIUrl":null,"url":null,"abstract":"<p>This study examined several PSEi breakpoints to determine if COVID-19-related headlines or events cause significant stock market breaks. From December 2, 2019 to May 5, 2022 (T=632), time-series data revealed that the stock market performed the worst during the first four months of 2020. Regression with ordinary least squares on PSEi values revealed the Philippine stock market has random walk characteristics for the same time period. The Breusch-Godfrey serial correlation LM test at two lags demonstrated serial correlation in the mean equation residuals. During COVID-19 pandemic events, the Chow test was applied to daily stock market data to identify structural breaks and PSEi shifts. The Bai-Perron test identified four noteworthy multi-breakpoints. On April 17, 2020, Leyte reported the first confirmed case of COVID-19, and Johns Hopkins University reported that the global death toll exceeded 50,000. This event is likely related to the cutoff dates of November 5 and 6, 2020, when the Philippines will have an average of 1,000 COVID-19 cases per day and the government will have identified specific sectors to receive free vaccines under the initial procurement. On March 23, 2021, 17 mayors of Metro Manila and neighbouring cities voted unanimously to close recreational establishments for two weeks, indicating a possible parallel to the breakpoints on September 3, 2021, when the Philippine Food and Drug Administration approved Moderna vaccines for 12–17-year-olds. Another breakpoint found was on October 11, 2021924,300 COVAX vaccines donated by the United States arrived at Ninoy Aquino International Airport. Breakpoint events and their implications for the study of financial economics were discussed. </p><p><strong>JEL</strong>: E32; G11; G14; G17</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src=\"/-counters-/soc/0048/a.php\" alt=\"Hit counter\" /></p>","PeriodicalId":491195,"journal":{"name":"European Journal of Economic and Financial Research","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Economic and Financial Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46827/ejefr.v7i3.1543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This study examined several PSEi breakpoints to determine if COVID-19-related headlines or events cause significant stock market breaks. From December 2, 2019 to May 5, 2022 (T=632), time-series data revealed that the stock market performed the worst during the first four months of 2020. Regression with ordinary least squares on PSEi values revealed the Philippine stock market has random walk characteristics for the same time period. The Breusch-Godfrey serial correlation LM test at two lags demonstrated serial correlation in the mean equation residuals. During COVID-19 pandemic events, the Chow test was applied to daily stock market data to identify structural breaks and PSEi shifts. The Bai-Perron test identified four noteworthy multi-breakpoints. On April 17, 2020, Leyte reported the first confirmed case of COVID-19, and Johns Hopkins University reported that the global death toll exceeded 50,000. This event is likely related to the cutoff dates of November 5 and 6, 2020, when the Philippines will have an average of 1,000 COVID-19 cases per day and the government will have identified specific sectors to receive free vaccines under the initial procurement. On March 23, 2021, 17 mayors of Metro Manila and neighbouring cities voted unanimously to close recreational establishments for two weeks, indicating a possible parallel to the breakpoints on September 3, 2021, when the Philippine Food and Drug Administration approved Moderna vaccines for 12–17-year-olds. Another breakpoint found was on October 11, 2021924,300 COVAX vaccines donated by the United States arrived at Ninoy Aquino International Airport. Breakpoint events and their implications for the study of financial economics were discussed.

JEL: E32; G11; G14; G17

Article visualizations:

Abstract Image

2019冠状病毒病大流行事件与菲律宾股市表现:多重断点测试
这项研究检查了几个PSEi断点,以确定与covid -19相关的头条新闻或事件是否会导致股市出现重大突破。从2019年12月2日到2022年5月5日(T=632),时间序列数据显示,股市在2020年前4个月表现最差。对PSEi值进行普通最小二乘回归,发现菲律宾股市在同一时间段内具有随机游走特征。两个滞后点的Breusch-Godfrey序列相关LM检验表明,均值方程残差存在序列相关。在COVID-19大流行事件期间,将Chow检验应用于每日股市数据,以识别结构性断裂和PSEi变化。Bai-Perron测试确定了四个值得注意的多断点。2020年4月17日,莱特市报告了首例新冠肺炎确诊病例,约翰霍普金斯大学报告称,全球死亡人数超过5万人。这一事件可能与2020年11月5日和6日的截止日期有关,届时菲律宾平均每天将有1000例COVID-19病例,政府将根据最初的采购确定特定部门获得免费疫苗。2021年3月23日,马尼拉大都会和邻近城市的17位市长一致投票决定关闭娱乐场所两周,这可能与2021年9月3日的转折点相似,当时菲律宾食品和药物管理局批准了12 - 17岁儿童的现代疫苗。另一个发现的断点是在1924年10月11日,美国捐赠的300支冠状病毒疫苗抵达尼诺·阿基诺国际机场。讨论了断点事件及其对金融经济学研究的影响。& lt; / p> & lt; p> & lt; strong> JEL< / strong>: E32;为G11;八国;G17< / p> & lt; p>& lt; / p> & lt; p> & lt; strong>文章可视化:</strong></p>< <img src="/-counters-/soc/0048/a.p ppt " alt="Hit counter" /></p>
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信