Journals / Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2021 / Cilt: 16 - Sayı: 2

The Impact of COVID-19 Crisis on Stock Market Volatilities of Turkey and G7 Countries

COVID-19 Krizi’nin Türkiye ve G7 Ülkelerinin Borsa Oynaklıkları Üzerindeki Etkisi

Pages
446–462
Publication Date
2021-08-01
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

According to the model results, the COVID-19 crisis increases the stock market volatilities of France, Japan, Canada, and Turkey.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The COVID-19 virus initially emerged as a health crisis, but soon turned into an economic and financial crisis.
📊
Key Findings & Data:The epidemic affected countries’ economies in direct proportion to the number of COVID-19 cases.
💡
Conclusion & Impact:According to the model results, the COVID-19 crisis increases the stock market volatilities of France, Japan, Canada, and Turkey.
🔬Design:Modeling & Simulation
📍Scope:2020 Verileri
⚙️Variables:COVID-19 · Hisse Senedi Piyasası Oynaklığı · EGARCH(1

Abstract

The COVID-19 virus initially emerged as a health crisis, but soon turned into an economic and financial crisis. The epidemic affected countries’ economies in direct proportion to the number of COVID-19 cases. In this context, the aim of this study examines the effect COVID-19 crisis on stock markets for G7 countries which have a high number of COVID-19 cases and are economically powerful, and Turkey. The analysis was performed with EGARCH (1,1) model and covers the dates of 11 March 2020/15 January 2021. According to the model results, the COVID-19 crisis increases the stock market volatilities of France, Japan, Canada, and Turkey.

Özet

COVID-19 virüsü başlangıçta bir sağlık krizi olarak ortaya çıkmış fakat kısa sürede bir ekonomik ve finansal krize dönüşmüştür. Salgın, ülke ekonomilerini COVID-19 vaka sayıları ile doğru orantılı bir şekilde etkilemiştir. Bu bağlamda çalışmanın amacı, COVID-19 vaka sayılarının yüksek olduğu ve ekonomik olarak güçlü olan G7 ülkeleri ve Türkiye için COVID-19 krizinin bu ülkelerin hisse senedi piyasalarının oynaklıkları üzerindeki etkisini sınamaktır. EGARCH(1,1) modeli ile gerçekleştirilen analiz 11 Mart 2020/ 15 Ocak 2021 tarihlerini kapsamaktadır. Model sonuçlarına göre COVID-19 krizi Fransa, Japonya, Kanada ve Türkiye’nin hisse senedi piyasalarının oynaklıklarını arttırmaktadır.

🔖

Cite This Article

USTALAR, S. A., ŞANLISOY, S. (2021). The Impact of COVID-19 Crisis on Stock Market Volatilities of Turkey and G7 Countries. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 16 - Sayı: 2, 446–462. https://ajindex.com/articles/259773

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (12)

  1. Akhtaruzzaman, M.; Boubaker, S.; Sensoy, A. (2021), “Financial Contagion during COVID-19 Crisis”, Finance Research Letters, C. 38, S.101604: 1-20.
  2. Baek, S.; Mohanty, S.K.; Glambosky, M. (2020), “COVID-19 and Stock Market Volatility: An Industry Level Analysis”, Finance Research Letters, C. 37, S.101748: 1-10.
  3. Baek, S.; Lee, K.Y. (2021), “The Risk Transmission of COVID-19 in the US Stock Market”, Applied Economics, DOI: 10.1080/00036846.2020.1854668. Baker, S.; Bloom, N.; Davis, S.J.; Kost, K.; Sammon, M.; Viratyosin, T. (2020), “The Unprecedented Stock Market Impact of COVID-19”, CEPR Covid Economics Review, NBER Working Paper No. w26945. Baumöhl E.; Výrost T. (2010), “Stock Market Integration: Granger Causality Testing with Respect to Nonsynchronous Trading Effects”, Czech Journal of Economics and Finance, C.60, S.5: 414–425.
  4. Bauwens, L.; Laurent, S.; Rombouts, J.V.K. (2006), “Multivariate GARCH Models: A Survey”, Journal of Applied Econometrics, C.21: 79-109.
  5. Bollerslev, T.; Engle, R.F.; Wooldridge, J.M. (1988), “A Capital Asset Pricing Model with Time- Varying Covariances”, C.96, S.1: 116-131. Campbell J.Y.; Lo A.W.; MacKinlay A.C. (1997), “The Econometrics of Financial Markets”, Princeton University Press,
  6. New Jersey. Chen, C.; Liu, L.; Zhao, N. (2020), “Fear Sentiment, Uncertanity, and Bitcoin Price Dynamics: The Case of COVID-19, Emerging Markets Finance and Trade, C.56, S.10: 2298-2309.
  7. Corbet, S.; Larkin, C.; Lucay, B. (2020), “The Contagion Effects of The COVID-19 Pandemic: Evidence from Gold and Cryptocurrencies”, Finance Research Letters, C. 37, S.101554: 1-7.
  8. Dutta, A.; Das, D.; Jana, R.K.; Vo, X.V. (2020), “COVID-19 and Oil Market Crash: Revisiting The Safe Haven Property of Gold and Bitcoin”, Resources Policy, C.69, S. 101816: 1-6.
  9. Engle, R.F.; Granger, C.W.J.; Kraft, D.F. (1984), “Combining Competing Forecasts of Inflation Using A Bivariate ARCH Model”, Journal of Economic Dynamics and Control, C. 8: 151-165.
  10. Engle, R.F.; Kroner, K.F. (1995), “Multivariate Simultaneous Generalized Arch”, Econometric Theory, C.11, S.1: 122-150. Eun C.S.; Shim S. (1989), “International Transmission of Stock Market Movements”, The Journal of Financial and Quantitative Analysis, C.24, S.2: 241-256.
  11. Gormsen, N.J.; Koijen, R.S.J. (2020), “Coronavirüs: Impact on Stock Prices and Growth Expectations, NBER Working Papers, No. 27387: 1-46.
  12. Gunay, S. (2020), “A New Form of Financial Contagion: COVID-19 and Stock Market Responses”, http://ssrn.com/abstract=3584243, (Eri