The analysis of COVID-19 impact on the internet and telecommunications service sector through modelling the dependence of shares of Russian companies on the American stock market

Alina Urazbaeva, Valentin Voytenkov, Rogneda Groznykh

Abstract


Relevance. The coronavirus pandemic has both negative and less obvious positive effects on the world economy. In order to better understand these processes, it is necessary to examine the sectors that have shown growth against the general decline in production. Such sectors include the Internet and telecommunication services. Research objective. The purpose of this study is to model the impact of the pandemic and foreign companies on the value of shares of Russian tech companies. Data and methods. The study involves daily share price data of such American corporations as Google, PayPal, Netflix, Adobe, and the Russian company Yandex. Moreover, we used the dummy variable Covid-19. The econometric analysis was conducted by using vector autoregression (VAR). The direction of cause-and-effect relationships was investigated with the help of the Granger test, and the effect of single shocks, through impulse response functions (IRF). Results. A stable VAR model was built. The IRF graphs were used to describe the impact of the pandemic and the value of US. companies on Russian companies. Conclusions. The study shows that the 2020 pandemic has proven to be a positive shock for companies in the ICT sector, contributing to increased demand for their services and market capitalization. The pandemic has affected both Russian and foreign companies. The study has also found the influence of the American stock market on share prices in Russia. Russian companies reacted to changes in the American stock market with a lag of up to 10 days.

Keywords


internet and telecommunication service, COVID-19, share value, American stock market, shares of Russian companies, Yandex, vector autoregression, impulse response function

Full Text:

PDF

References


A new look at our 2020 Technology Vision trends (2020). Retrieved from Accenture consulting company website: https://www.accenture.com/us-en/insights/technology/tech-vision-coronavirus-trends

Alekseev, D.A. (2011) Mechanisms of the companies capitalization. Irkutsk: BGUEP Publishing House, 150

Asaturov, K.G. Teplova, T.V. Sukhorukova, K.I. (2012) Volatility flow effect on the stock markets (part 2). Financial risk management. № 4(32), 254-266

Bannikov, V.A. (2006) Vector models of the autoregressive and regression residues correction (EViews). Applied econometrics, № 3, 96–129.

Caporale M.G., Spagnolo N. (2011). Stock market integration between three CEECs, Russia and the UK. Review of International Economics, Vol. 19, No. 1, 158−169.

COVID-19 and the great reset: Briefing note #13 (2020, July 9). Retrieved from McKinsey & Company website: https://www.mckinsey.com/business-functions/risk/our-insights/covid-19-implications-for-business#

Demeshev B., Tikhonova A. (2014). Default prediction for Russian companies: intersectoral comparison.Series WP2 “Quantitative Analysis of Russian Economy”. Retrieved from: https://wp.hse.ru/data/2014/09/20/1315892231/WP2_2014_04.pdf

Dhesi G., Xiao L. (2010). Dynamic Linkages Between the European and US Stock Markets. 3rd International Conference on Business Intelligence and Financial Engineering, VSIM, Bulgaria, art.no. 5621816, 403−407.

Dubreuille S., Mai H.M. (2009), Impact of European and American Business Cycle News on Euronext Trading. International Journal of Business 14, 124-135

Dubrovin, S.S. (2009). Investigation of Causal Relationships in Stock Market Operations. Proceedings of Tula State University. Natural sciences, (2), 167-173. Retrieved from: https://cyberleninka.ru/article/n/issledovanie-prichinno-sledstvennyh-svyazey-pri-operatsiyah-na-fondovom-rynke

Fedorova E.A. (2013). Evaluation of influence of the US, Chinese and German stock markets on the Russian stock market. Economic analysis: theory and practice, (47 (350)), 29-37. Retrieved from: https://cyberleninka.ru/article/n/otsenka-vliyaniya-fondovyh-rynkov-ssha-kitaya-i-germanii-na-fondovyy-rynok-rossii

Harju, K., Hussain S.M. (2011) Intraday Seasonalities and Macroeconomic News Announcements. European Financial Management, 367-390.

Kamenskiy D.A. (2019). Application of vectorial autoregressive models in forecasting in finance and economics. Fundamental research, № 5, 45-49. Retrieved from: https://www.fundamental-research.ru/ru/article/view?id=42459

Kosmykova T. (2016). Binary enterprise bankruptcy risk assessment models. Science and Innovation, 2 (156), 47-50.

Kostyunin,V.I. (2019) Model Specification, ECONOMETRICA. Textbook and Workshop for Applied Bachelor-M.(17–36). Moscow: Yureit Publishing House.

Minasov O.Yu. (2001). Management of market value of shares. Digest Finance, (10 (82)), 26-34. Retrieved from: https://cyberleninka.ru/article/n/upravlenie-rynochnoy-stoimostyu-aktsiy

Nikkinen J., Omran M., Sahlström P., Äijö J. (2006) Global stock market reactions to scheduled U.S. macroeconomic news announcements. Global Finance Journal. Vol.17, Issue 1, 92-104

TECHNOLOGY VISION 2020. WE, THE POST-DIGITAL PEOPLE (2020). Retrieved from Accenture consulting company website: https://www.accenture.com/ru-ru/insights/technology/_acnmedia/Thought-Leadership-Assets/PDF-2/Accenture-Technology-Vision-2020-Full-Report.pdf

The shift in online consumption caused by the coronavirus is positive for TV companies and the IT sector of Russia - Renaissance Capital (2020, March 19). Retrieved from Finmarket Information Agency website: http://www.finmarket.ru/shares/analytics/5195426

Vakulenko E.S. (2012). Analysis of multidimensional time series. Retrieved from: https://pokrovka11.files.wordpress.com/2012/12/time-series-analysis-part2.pdf

World Economic Outlook Update (2020, June). Retrieved from International Monetary Fund website: https://www.imf.org/en/Publications/WEO/Issues/2020/06/24/WEOUpdateJune2020

World Economic Outlook Update (2020, April). Retrieved from International Monetary Fund website: https://www.imf.org/en/Publications/WEO/Issues/2020/04/14/weo-april-2020

Zaltsman A. A. (2012) Determinants of dividend policy of Russian public companies. Audit and financial analysis(1 (2012), 233-241. Retrieved from: https://fmlab.hse.ru/data/2012/05/02/1250626792/2012_%D0%90%D0%B8%D0%A4%D0%90_%D0%97%D0%B0%D0%BB%D1%8C%D1%86%D0%BC%D0%B0%D0%BD_(09)_(233-241).pdf

Zeltser M. (2019, September 17) Blue chips VS second echelon. What to choose. Retrieved from informational and analytical portal "BKS Express":https://bcs-express.ru/novosti-i-analitika/golubye-fishki-vs-vtoroi-eshelon-chto-vybrat

Zeltser M. (2019, September 6) Research: proving that emerging markets are no longer the most risky ones, especially Russia. Retrieved from informational and analytical portal "BKS Express": https://bcs-express.ru/novosti-i-analitika/issledovanie-dokazyvaem-chto-razvivaiushchiesia-rynki-bol-she-ne-samye-riskovye-osobenno-rossiia




DOI: https://doi.org/10.15826/recon.2020.6.3.014

Copyright (c) 2020 Alina Urazbaeva, Valentin Voytenkov, Rogneda Groznykh

Сertificate of registration media Эл № ФС77-80764 от 23.04.2021
Online ISSN 2412-0731