{"title":"2019冠状病毒病对海洋产业的影响:来自十大海洋公司的证据","authors":"Alexandros Pasiouras","doi":"10.33422/2nd.bmeconf.2020.09.231","DOIUrl":null,"url":null,"abstract":": The Covid-19 pandemic has caused many economic problem on the Marine industry. More precisely, the lockdown measures, the total suspension of the Marine activity and the disruption of the Marine field have led to the severe impact on the Marine corporations globally. In this paper, we examine some of the biggest Marine companies’ stocks, namely the Dynangas (DLNG), Euronav (EURN), Euroseas (ESEA), Frontline (FRO), Nordic American Tanker (NAT), Scorpio Bulkers (SALT), Sino-Global Shipping (SINO), Teekay Tankers (TNK), Tsakos Energy Navigation (TNP), Torm (TRMD) during the Covid-19 spread and the lockdown measures. Using relevant time series specifications, we establish a Bayesian framework to unveil the effect of the Covid-19 pandemic on these stocks. Based on our findings, the stocks were affected by the Covid-19 spread and more precisely, the Covid-19 spread provides useful information for the predicting and forecasting of these stocks. Our findings are robust, since the out-of-sample forecasting accuracy of the alternative model employed, that explicitly incorporate the pandemic induced by the SARS-COV-2 virus, is superior to the baseline model.","PeriodicalId":116723,"journal":{"name":"Proceedings of The 2nd International Conference on Applied Research in Business, Management and Economics","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effects of the Covid-19 on the Marine industry: Evidence from the ten major marine companies\",\"authors\":\"Alexandros Pasiouras\",\"doi\":\"10.33422/2nd.bmeconf.2020.09.231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": The Covid-19 pandemic has caused many economic problem on the Marine industry. More precisely, the lockdown measures, the total suspension of the Marine activity and the disruption of the Marine field have led to the severe impact on the Marine corporations globally. In this paper, we examine some of the biggest Marine companies’ stocks, namely the Dynangas (DLNG), Euronav (EURN), Euroseas (ESEA), Frontline (FRO), Nordic American Tanker (NAT), Scorpio Bulkers (SALT), Sino-Global Shipping (SINO), Teekay Tankers (TNK), Tsakos Energy Navigation (TNP), Torm (TRMD) during the Covid-19 spread and the lockdown measures. Using relevant time series specifications, we establish a Bayesian framework to unveil the effect of the Covid-19 pandemic on these stocks. Based on our findings, the stocks were affected by the Covid-19 spread and more precisely, the Covid-19 spread provides useful information for the predicting and forecasting of these stocks. Our findings are robust, since the out-of-sample forecasting accuracy of the alternative model employed, that explicitly incorporate the pandemic induced by the SARS-COV-2 virus, is superior to the baseline model.\",\"PeriodicalId\":116723,\"journal\":{\"name\":\"Proceedings of The 2nd International Conference on Applied Research in Business, Management and Economics\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of The 2nd International Conference on Applied Research in Business, Management and Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.33422/2nd.bmeconf.2020.09.231\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The 2nd International Conference on Applied Research in Business, Management and Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33422/2nd.bmeconf.2020.09.231","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
新冠肺炎疫情给海洋产业带来了诸多经济问题。更确切地说,封锁措施、海洋活动的全面暂停和海洋领域的中断,对全球海洋公司造成了严重影响。在本文中,我们研究了一些最大的船舶公司的股票,即Dynangas (DLNG)、Euronav (EURN)、Euroseas (ESEA)、Frontline (FRO)、Nordic American Tanker (NAT)、Scorpio Bulkers (SALT)、SINO - global Shipping (SINO)、Teekay Tankers (TNK)、Tsakos Energy Navigation (TNP)、form (TRMD)在Covid-19传播和封锁措施期间的股票。利用相关的时间序列规范,我们建立了一个贝叶斯框架,以揭示Covid-19大流行对这些库存的影响。根据我们的研究结果,库存受到Covid-19传播的影响,更准确地说,Covid-19传播为这些库存的预测和预测提供了有用的信息。我们的发现是稳健的,因为所采用的替代模型(明确纳入了SARS-COV-2病毒引起的大流行)的样本外预测精度优于基线模型。
Effects of the Covid-19 on the Marine industry: Evidence from the ten major marine companies
: The Covid-19 pandemic has caused many economic problem on the Marine industry. More precisely, the lockdown measures, the total suspension of the Marine activity and the disruption of the Marine field have led to the severe impact on the Marine corporations globally. In this paper, we examine some of the biggest Marine companies’ stocks, namely the Dynangas (DLNG), Euronav (EURN), Euroseas (ESEA), Frontline (FRO), Nordic American Tanker (NAT), Scorpio Bulkers (SALT), Sino-Global Shipping (SINO), Teekay Tankers (TNK), Tsakos Energy Navigation (TNP), Torm (TRMD) during the Covid-19 spread and the lockdown measures. Using relevant time series specifications, we establish a Bayesian framework to unveil the effect of the Covid-19 pandemic on these stocks. Based on our findings, the stocks were affected by the Covid-19 spread and more precisely, the Covid-19 spread provides useful information for the predicting and forecasting of these stocks. Our findings are robust, since the out-of-sample forecasting accuracy of the alternative model employed, that explicitly incorporate the pandemic induced by the SARS-COV-2 virus, is superior to the baseline model.