نوع مقاله : مقالات پژوهشی به زبان انگلیسی

نویسندگان

1 گروه اقتصاد کشاورزی، دانشکده مهندسی زراعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری، ساری، ایران

2 گروه اقتصاد کشاورزی، دانشکده مهندسی زراعی، دانشگاه علوم کشاورزی و منابع طبیعی ساری،ساری، ایران

چکیده

ویروس کرونا (کووید-19) علاوه بر تاثیر منفی بر بهداشت وسلامت افراد، جهان را با یک بحران مالی- اقتصادی عظیم روبه­ روساخته است. شیوع ویروس کرونا در سراسر جهان، میزان معاملات و ارزش سهام را نیز تحت تاثیر قرار داده است. از آنجا که در شرایط بحران بازار مواد غذایی تاثیر بیشتری می­ گیرد، در این مطالعه به بررسی این رابطه در بورس اوراق بهادار پرداخته شده است. به منظور بررسی اثر مبتلایان ویروس کرونا بر ارزش شاخص سهام شرکت‌های صنایع غذایی و همچنین ارتباط میان ریسک و ارزش شاخص سهام از داده های روزانه رسمی وزارت بهداشت و مرکز پردازش اطلاعات مالی ایران از سوم اسفند که اولین گزارش اعلام گردید تا 12 خرداد 1400 گردآوری گردید. روش مورد استفاده در این مطالعه مدل­ های رگرسیونی میانگین واریانس ناهمسان شرطی است. آزمون­ های تصریح الگو نشان داد اولا فرضیه عدم ناهمسانی واریانس رد شده و لزوم استفاده از الگوهایی با واریانس ناهمسان ثابت گردید. ثانیا فرضیه عدم تقارن پذیرفته گردید. یافته­ های پس از برآورد مدل نشان داد میان تعداد مبتلایان به ویروس کرونا و ارزش سهام صنایع مواد غذایی ارتباط وجود داشته و افزایش تعداد مبتلایان سبب کاهش شاخص مذکور می ­شود. به این ترتیب همانند سایر بخش های اقتصاد، بازار سرمایه متاثر از بحران همه ­گیری کرونا گردید افزاش قیمت دلار بعنوان بازار رقیب تاثیر منفی بر شاخص قیمت سهام نشان داد. همچنین با توجه به بررسی ارتباط میان ریسک و ارزش سهام صنایع غذایی، ریسک مطابق انتظار رابطه معکوس و معنی­ دار با ارزش سهام شرکت­ های صنایع غذایی داشته و به عبارت دیگر افزایش ریسک منجر به کاهش قیمت سهام صنایع غذایی می­ شود.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

The Impact of the Covid-19 Outbreak on the Stock Value of Food Companies: Case Study of the Tehran Stock Exchange- Iran

نویسندگان [English]

  • S.M. Mojaverian 1
  • F. Eshghi 1
  • S. Ahangari 2

1 Faculty of Agricultural Engineering, Sari Agricultural Sciences and Natural Resources University, Sari, Iran

2 Department of Agricultural Economics, Faculty of Agricultural Engineering, Sari of Agricultural Sciences and Natural Resources University, Sari, Iran

چکیده [English]

In addition to imposing a negative impact on public health, Covid-19 has made the world face a huge financial-economic crisis. The worldwide spread of the coronavirus has also affected the volume of transactions and the value of stocks. Since the food market is more affected under crisis conditions, this relationship has been investigated in the stock exchange in the present study. In order to investigate the effect of Covid-19 patients on the stock index value of food industry companies as well as the relationship between risk and stock index value, the official daily data of the Ministry of Health and Medical Education and the Financial Information Processing Center of Iran were collected from March 3, 2021 when the first report was announced, to June 2, 2021. Mean Conditional heteroscedasticityvariance regression models were used in the current study. The statistical model specification tests showed that, first, the assumption of heteroscedasticitywas rejected and the needto useheteroscedasticitymodels was proved. Secondly, the asymmetry assumption was accepted. Model estimation results showed a relationship between the numbers of Covid-19 patients with the stock value of the food industry that was an increase in the number of infected people causes a decrease in the stock value of the food industry. Therefore, like other economic sectors, the capital market was affected by the Covid-19 crisis, and increasing exchange rate as a competing market had a negative effect on the stock price index. Also, considering the relationship between risk and stock value of food industries, as expected, there was an inverse and significant relationship between risk and stock value of food industry companies. In other words, an increase in risk leads to a decrease in the stock price of food industries.

کلیدواژه‌ها [English]

  • Stock market
  • Coronavirus
  • Conditional heteroscedasticity model
  • Iran
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