{"title":"分析 COVID-19 期间的马来西亚技术部门:最小生成树方法","authors":"Hafizah Bahaludin, Mimi Hafizah Abdullah, Masnida Hussin, Mohamed Faris Laham, Zurita Ismail","doi":"10.37934/araset.44.2.210220","DOIUrl":null,"url":null,"abstract":"This paper examines the structural changes of the companies listed in the technology sector in Bursa Malaysia during the COVID-19 pandemic. The closing price of each stock is used as the basis for calculating the cross-correlation between the companies' returns. Minimum spanning trees are employed to analyse the relationships and visualize the correlation changes for each period. Additionally, degree centrality is utilized to analyse the network's structure further. This study covers the period from 2020 to 2021 and involves 39 companies within the technology sector. The findings reveal significant fluctuations in the companies' correlations each year. Moreover, the most influential companies vary according to the period, demonstrating position changes. The fact that Inari Amertron (INAR), Revenue Group (REVE), and My EG Services (MYEG) consistently become leading players in different years shows how strong and influential they are in the technology sector. This suggests that these companies have the ability to shape market trends and possibly even control the direction of the industry. The results provide valuable insights for investors and policymakers, aiding in visualizing company relationships and facilitating strategic portfolio optimization.","PeriodicalId":506443,"journal":{"name":"Journal of Advanced Research in Applied Sciences and Engineering Technology","volume":"35 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysing Malaysian Technology Sector during COVID-19: A Minimum Spanning Tree Approach\",\"authors\":\"Hafizah Bahaludin, Mimi Hafizah Abdullah, Masnida Hussin, Mohamed Faris Laham, Zurita Ismail\",\"doi\":\"10.37934/araset.44.2.210220\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines the structural changes of the companies listed in the technology sector in Bursa Malaysia during the COVID-19 pandemic. The closing price of each stock is used as the basis for calculating the cross-correlation between the companies' returns. Minimum spanning trees are employed to analyse the relationships and visualize the correlation changes for each period. Additionally, degree centrality is utilized to analyse the network's structure further. This study covers the period from 2020 to 2021 and involves 39 companies within the technology sector. The findings reveal significant fluctuations in the companies' correlations each year. Moreover, the most influential companies vary according to the period, demonstrating position changes. The fact that Inari Amertron (INAR), Revenue Group (REVE), and My EG Services (MYEG) consistently become leading players in different years shows how strong and influential they are in the technology sector. This suggests that these companies have the ability to shape market trends and possibly even control the direction of the industry. The results provide valuable insights for investors and policymakers, aiding in visualizing company relationships and facilitating strategic portfolio optimization.\",\"PeriodicalId\":506443,\"journal\":{\"name\":\"Journal of Advanced Research in Applied Sciences and Engineering Technology\",\"volume\":\"35 2\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Advanced Research in Applied Sciences and Engineering Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.37934/araset.44.2.210220\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Research in Applied Sciences and Engineering Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37934/araset.44.2.210220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文研究了 COVID-19 大流行期间马来西亚证券交易所科技板块上市公司的结构变化。本文以每只股票的收盘价为基础,计算公司回报之间的交叉相关性。采用最小生成树来分析这些关系,并直观显示每个时期的相关性变化。此外,还利用度中心性进一步分析网络结构。本研究涵盖 2020 年至 2021 年,涉及科技行业的 39 家公司。研究结果显示,各公司的相关性每年都会出现大幅波动。此外,最具影响力的公司在不同时期也不尽相同,显示出位置的变化。Inari Amertron (INAR)、Revenue Group (REVE) 和 My EG Services (MYEG) 在不同年份始终处于领先地位,这表明它们在技术领域的实力和影响力。这表明,这些公司有能力塑造市场趋势,甚至有可能控制行业的发展方向。研究结果为投资者和政策制定者提供了宝贵的见解,有助于直观了解公司关系,促进战略投资组合的优化。
Analysing Malaysian Technology Sector during COVID-19: A Minimum Spanning Tree Approach
This paper examines the structural changes of the companies listed in the technology sector in Bursa Malaysia during the COVID-19 pandemic. The closing price of each stock is used as the basis for calculating the cross-correlation between the companies' returns. Minimum spanning trees are employed to analyse the relationships and visualize the correlation changes for each period. Additionally, degree centrality is utilized to analyse the network's structure further. This study covers the period from 2020 to 2021 and involves 39 companies within the technology sector. The findings reveal significant fluctuations in the companies' correlations each year. Moreover, the most influential companies vary according to the period, demonstrating position changes. The fact that Inari Amertron (INAR), Revenue Group (REVE), and My EG Services (MYEG) consistently become leading players in different years shows how strong and influential they are in the technology sector. This suggests that these companies have the ability to shape market trends and possibly even control the direction of the industry. The results provide valuable insights for investors and policymakers, aiding in visualizing company relationships and facilitating strategic portfolio optimization.