Araştırma Makalesi

The Time-Varying Impact of Covid-19 on Stock Returns: Evidence on Developed Countries from a Bootstrap Rolling Window Causality Method

Cilt: 5 Sayı: Özel Sayı 26 Aralık 2020
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The Time-Varying Impact of Covid-19 on Stock Returns: Evidence on Developed Countries from a Bootstrap Rolling Window Causality Method

Öz

This study examines the time-varying impact of the Novel Coronavirus (COVID-19) on stock returns by employing the bootstrap rolling window causality test. For this purpose, we use the daily data of COVID-19 confirmed cases and stock returns of six most hard-hit developed countries from the COVID-19 pandemic, namely France, Germany, Italy, Spain, the United Kingdom, and the United States. Before investigating the time-varying impact of COVID-19 on stock returns, we first examine the long-run relationship between COVID-19 confirmed cases and stock returns with the Kao panel cointegration method and we find that there exists a long-run relationship between variables. The bootstrap rolling window causality test results show that confirmed cases of COVID-19 have a time-varying impact on stock returns for each country. We also find that among the six developed countries in this study, the impact of daily COVID-19 confirmed cases on stock returns is the least in Germany, while it is the most in Italy. These results are thought to provide important information to market participants.

Anahtar Kelimeler

Kaynakça

  1. Al-Awadhi, A. M., Alsaifi, K., Al-Awadhi, A. and Alhammadi, C. (2020). Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns. Journal of Behavioral and Experimental Finance, 27, 100326. https://doi.org/10.1016/j.jbef.2020.100326
  2. Alber, N. (2020). The effect of coronavirus spread on stock markets: The case of the worst 6 countries (SSRN Working Paper No. 3578080). http://dx.doi.org/10.2139/ssrn.3578080
  3. Aslan, A., Destek, M. A. and Okumus, I. (2018). Bootstrap rolling window estimation approach to analysis of the Environment Kuznets Curve hypothesis: Evidence from the USA. Environ Sci Pollut Res, 25, 2402-2408. https://doi.org/10.1007/s11356-017-0548-3
  4. Bai, J. and Ng, S. (2004). A panic attack on unit roots and cointegration. Econometrica, 72(4), 1127-1177. Retrieved from https://www.jstor.org/
  5. Baker, S. R., Bloom, N., Davis, S. J., Kost, K. J., Sammon, M. C. and Viratyosin, T. (2020). The unprecedented stock market impact of COVID-19 (NBER Working Paper No. w26945). http://dx.doi.org/10.3386/w26945
  6. Balcilar, M., Gupta, R. and Kyei, C. (2018). Predicting stock returns and volatility with investor sentiment indices: A reconsideration using a nonparametric causality-in-quantiles test. Bulletin of Economic Research, 70(1), 74-87. https://doi.org/10.1111/boer.12119
  7. Balcilar, M., Ozdemir, Z. A. and Arslanturk, Y. (2010). Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window. Energy Economics, 32(6), 1398-1410. https://doi.org/10.1016/j.eneco.2010.05.015
  8. Citak, F., Bagci, B., Sahin, E. E., Hos, S. and Sakinc, İ. (2020). Review of stock markets' reaction to COVID-19 news: fresh evidence from quantile-on-quantile regression approach (SSRN Working Paper No. 3596931). Retrieved from https://www.ssrn.com

Ayrıntılar

Birincil Dil

İngilizce

Konular

Finans

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

26 Aralık 2020

Gönderilme Tarihi

18 Ağustos 2020

Kabul Tarihi

26 Ekim 2020

Yayımlandığı Sayı

Yıl 2020 Cilt: 5 Sayı: Özel Sayı

Kaynak Göster

APA
Şimşek, T., & Özkan, O. (2020). The Time-Varying Impact of Covid-19 on Stock Returns: Evidence on Developed Countries from a Bootstrap Rolling Window Causality Method. Ekonomi Politika ve Finans Araştırmaları Dergisi, 5(Özel Sayı), 1-12. https://doi.org/10.30784/epfad.781992
AMA
1.Şimşek T, Özkan O. The Time-Varying Impact of Covid-19 on Stock Returns: Evidence on Developed Countries from a Bootstrap Rolling Window Causality Method. EPF Journal. 2020;5(Özel Sayı):1-12. doi:10.30784/epfad.781992
Chicago
Şimşek, Türker, ve Oktay Özkan. 2020. “The Time-Varying Impact of Covid-19 on Stock Returns: Evidence on Developed Countries from a Bootstrap Rolling Window Causality Method”. Ekonomi Politika ve Finans Araştırmaları Dergisi 5 (Özel Sayı): 1-12. https://doi.org/10.30784/epfad.781992.
EndNote
Şimşek T, Özkan O (01 Aralık 2020) The Time-Varying Impact of Covid-19 on Stock Returns: Evidence on Developed Countries from a Bootstrap Rolling Window Causality Method. Ekonomi Politika ve Finans Araştırmaları Dergisi 5 Özel Sayı 1–12.
IEEE
[1]T. Şimşek ve O. Özkan, “The Time-Varying Impact of Covid-19 on Stock Returns: Evidence on Developed Countries from a Bootstrap Rolling Window Causality Method”, EPF Journal, c. 5, sy Özel Sayı, ss. 1–12, Ara. 2020, doi: 10.30784/epfad.781992.
ISNAD
Şimşek, Türker - Özkan, Oktay. “The Time-Varying Impact of Covid-19 on Stock Returns: Evidence on Developed Countries from a Bootstrap Rolling Window Causality Method”. Ekonomi Politika ve Finans Araştırmaları Dergisi 5/Özel Sayı (01 Aralık 2020): 1-12. https://doi.org/10.30784/epfad.781992.
JAMA
1.Şimşek T, Özkan O. The Time-Varying Impact of Covid-19 on Stock Returns: Evidence on Developed Countries from a Bootstrap Rolling Window Causality Method. EPF Journal. 2020;5:1–12.
MLA
Şimşek, Türker, ve Oktay Özkan. “The Time-Varying Impact of Covid-19 on Stock Returns: Evidence on Developed Countries from a Bootstrap Rolling Window Causality Method”. Ekonomi Politika ve Finans Araştırmaları Dergisi, c. 5, sy Özel Sayı, Aralık 2020, ss. 1-12, doi:10.30784/epfad.781992.
Vancouver
1.Türker Şimşek, Oktay Özkan. The Time-Varying Impact of Covid-19 on Stock Returns: Evidence on Developed Countries from a Bootstrap Rolling Window Causality Method. EPF Journal. 01 Aralık 2020;5(Özel Sayı):1-12. doi:10.30784/epfad.781992