Impacts of the COVID-19 pandemic on the relationship between the economic factors and stock prices of the transport sector in the stock exchange of Thailand

Q2 Economics, Econometrics and Finance Asian Economic and Financial Review Pub Date : 2023-04-06 DOI:10.55493/5002.v13i5.4773
Sukanya Sirimat, Tanawat Watchalaanun, Kitimaporn Choochote, S. Nonthapot
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Abstract

The COVID-19 pandemic has affected economic sectors and investment and has particularly affected the stock pricing factors for the transport sector (TRANS). This study compares the relationship of the different factors, i.e., the volume, exchange rate (EXR), consumer price index (CPI), and the oil price on the stock prices of the TRANS on the Stock Exchange of Thailand (SET) between the pre-COVID-19 and during COVID-19 periods. Time series data between January 2017 and December 2019 were used for the pre-COVID-19 period, and data between January 2020 and September 2022 were used for the during COVID-19 period. The effects of the independent variables were considered by estimating the long-run relationship using the autoregressive distributed lag (ARDL) and Granger causality from those variables to each stock price. The results found that the COVID-19 pandemic caused different effects on the volume, EX, CPI, and the oil price on the stock prices of the transport sector in the SET. Thus, investors should closely monitor the situations caused by natural disasters and the change of the EXR and oil price to reduce any problems that may arise.
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COVID-19大流行对泰国证券交易所运输部门经济因素与股票价格关系的影响
2019冠状病毒病大流行影响了经济部门和投资,特别是影响了运输部门(TRANS)的股票定价因素。本研究比较了不同因素,即交易量、汇率(EXR)、消费者价格指数(CPI)和油价对泰国证券交易所(SET)股票价格的影响,在COVID-19之前和COVID-19期间。2017年1月至2019年12月的时间序列数据用于COVID-19前期,2020年1月至2022年9月的数据用于COVID-19期间。通过使用自回归分布滞后(ARDL)和格兰杰因果关系估计自变量对各股票价格的长期关系来考虑自变量的影响。结果发现,新冠肺炎疫情对SET中运输部门的交易量、EX、CPI和油价对股价产生了不同的影响。因此,投资者应密切关注自然灾害引起的情况以及EXR和油价的变化,以减少可能出现的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Asian Economic and Financial Review
Asian Economic and Financial Review Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
1.80
自引率
0.00%
发文量
64
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