COVID-19: A Game-changer to Equity Markets?

Saeed Golmohammadi, Babak Fazelabdolabadi

Abstract


This article applies the effective transfer entropy methodology to quantify the information flow between equities in major global equity markets in Australia, Brazil, Canada, China, Germany, Iran, Japan, Qatar, Saudi Arabia, South Africa, South Korea, United Kingdom, and the United States—a pool of 2200 companies is included. To account for COVID-19 impacts, the period of the study was extended over two years. The results show changes to the information flow pattern after COVID-19, with the largest changes being encountered in Australia, Brazil, Canada, Japan, and the United States for their largest market participants (by market capitalization). In comparison, the Asian markets' information flow patterns show less noticeable changes following COVID-19. On a sector level, most of the markets studied have seen substantial changes in the functionality of their sectors—in terms of being a transmitter or receiver of information—after COVID-19's appearance. The fraction of sectors with a complete change in their influencing role since COVID-19 has been over 70% in Australia, Canada, South Africa, and the United States. The financial services sector has retained its role as being the most influential sector in 6 out of 13 markets considered after COVID-19. For most of the markets, the basic materials, communications, energy, and utilities sectors have retained an intermediate position in the information flow diagram after COVID-19. The German market has been the only market, in which the main information transmitter and receiver sectors have remained unchanged since COVID-19. The results suggest drastic moves in major global equity markets, which have been concurrent with the virus outbreak.

 

Doi: 10.28991/HEF-2021-02-01-05

Full Text: PDF

Supplementary Files: Click here


Keywords


COVID-19, Equity Markets; Effective Transfer Entropy.

References


Villani, L., Pastorino, R., Molinari, E., Anelli, F., Ricciardi, W., Graffigna, G., & Boccia, S. (2021). Impact of the COVID-19 pandemic on psychological well-being of students in an Italian university: a web-based cross-sectional survey. Globalization and Health, 17(1). doi:10.1186/s12992-021-00680-w.

Rume, T., & Islam, S. M. D. U. (2020). Environmental effects of COVID-19 pandemic and potential strategies of sustainability. Heliyon, 6(9). doi:10.1016/j.heliyon.2020.e04965.

Chaturvedi, K., Vishwakarma, D. K., & Singh, N. (2021). COVID-19 and its impact on education, social life and mental health of students: A survey. Children and Youth Services Review, 121. doi:10.1016/j.childyouth.2020.105866.

Bahi, R. (2021). The geopolitics of COVID-19: US-China rivalry and the imminent Kindleberger trap. Review of Economics and Political Science, 6(1), 76–94. doi:10.1108/reps-10-2020-0153.

Rizwan, M. S., Ahmad, G., & Ashraf, D. (2020). Systemic risk: The impact of COVID-19. Finance Research Letters, 36. doi:10.1016/j.frl.2020.101682.

Li, X., Xie, Y., & Lin, J. H. (2021). COVID-19 outbreak, government capital injections, and shadow banking efficiency. Applied Economics, 53(4), 495–505. doi:10.1080/00036846.2020.1808183.

Ghosh, R., & Saima, F. N. (2021). Resilience of commercial banks of Bangladesh to the shocks caused by COVID-19 pandemic: an application of MCDM-based approaches. Asian Journal of Accounting Research, 6(3), 281–295. doi:10.1108/AJAR-10-2020-0102.

Korzeb, Z., & Niedziółka, P. (2020). Resistance of commercial banks to the crisis caused by the COVID-19 pandemic: the case of Poland. Equilibrium, 15(2), 205–234. doi:10.24136/eq.2020.010.

Marcu, M. R. (2021). The Impact of the COVID-19 Pandemic on the Banking Sector. Management Dynamics in the Knowledge Economy, 9(2), 9(2), 205–223. doi:10.2478/mdke-2021-0013.

Conlon, T., & McGee, R. (2020). Safe haven or risky hazard? Bitcoin during the Covid-19 bear market. Finance Research Letters, 35. doi:10.1016/j.frl.2020.101607.

Caferra, R., & Vidal-Tomás, D. (2021). Who raised from the abyss? A comparison between cryptocurrency and stock market dynamics during the COVID-19 pandemic. Finance Research Letters, 101054. doi:10.1016/j.frl.2021.101954.

Iqbal, N., Fareed, Z., Wan, G., & Shahzad, F. (2021). Asymmetric nexus between COVID-19 outbreak in the world and cryptocurrency market. International Review of Financial Analysis, 73, 101613. doi:10.1016/j.irfa.2020.101613.

Corbet, S., Larkin, C., & Lucey, B. (2020). The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies. Finance Research Letters, 35. doi:10.1016/j.frl.2020.101554.

Mariana, C. D., Ekaputra, I. A., & Husodo, Z. A. (2021). Are Bitcoin and Ethereum safe-havens for stocks during the COVID-19 pandemic? Finance Research Letters, 38. doi:10.1016/j.frl.2020.101798.

Montasser, G. El, Charfeddine, L., & Benhamed, A. (2021). COVID-19, cryptocurrencies bubbles and digital market efficiency: sensitivity and similarity analysis. Finance Research Letters, 102362. doi:10.1016/j.frl.2021.102362.

Nguyen, K. Q. (2021). The correlation between the stock market and Bitcoin during COVID-19 and other uncertainty periods. Finance Research Letters, 102284. doi:10.1016/j.frl.2021.102284.

Umar, Z., & Gubareva, M. (2020). A time–frequency analysis of the impact of the Covid-19 induced panic on the volatility of currency and cryptocurrency markets. Journal of Behavioral and Experimental Finance, 28, 100404. doi:10.1016/j.jbef.2020.100404.

Xu, Y., & Lien, D. (2021). COVID-19 and currency dependences: Empirical evidence from BRICS. Finance Research Letters, 102119. doi:10.1016/j.frl.2021.102119.

Richter, A., & Wilson, T. C. (2020). Covid-19: implications for insurer risk management and the insurability of pandemic risk. GENEVA Risk and Insurance Review, 45(2), 171–199. doi:10.1057/s10713-020-00054-z.

Ito, T. (2020). Impact of the coronavirus pandemic crisis on the financial system in the eurozone. Journal of Corporate Accounting & Finance, 31(4), 15–20. doi:10.1002/jcaf.22466.

Janus, J. (2021). The COVID-19 shock and long-term interest rates in emerging market economies. Finance Research Letters, 101976. doi:10.1016/j.frl.2021.101976.

Harjoto, M. A., Rossi, F., Lee, R., & Sergi, B. S. (2021). How do equity markets react to COVID-19? Evidence from emerging and developed countries. Journal of Economics and Business, 115. doi:10.1016/j.jeconbus.2020.105966.

Zhang, D., Hu, M., & Ji, Q. (2020). Financial markets under the global pandemic of COVID-19. Finance Research Letters, 36. doi:10.1016/j.frl.2020.101528.

Singh, A. (2020). COVID-19 and safer investment bets. Finance Research Letters, 36. doi:10.1016/j.frl.2020.101729.

Baig, A. S., & Chen, M. (2021). Did the COVID-19 pandemic (really) positively impact the IPO Market? An Analysis of information uncertainty. Finance Research Letters, 102372. doi:10.1016/j.frl.2021.102372.

Jebabli, I., Kouaissah, N., & Arouri, M. (2021). Volatility Spillovers between Stock and Energy Markets during Crises: A Comparative Assessment between the 2008 Global Financial Crisis and the Covid-19 Pandemic Crisis. Finance Research Letters, 102363. doi:10.1016/j.frl.2021.102363.

Yu, X., Xiao, K., & Liu, J. (2021). Dynamic co-movements of COVID-19 pandemic anxieties and stock market returns. Finance Research Letters, 102219. doi:10.1016/j.frl.2021.102219.

Xu, L. (2021). Stock Return and the COVID-19 pandemic: Evidence from Canada and the US. Finance Research Letters, 38. doi:10.1016/j.frl.2020.101872.

Fry-McKibbin, R., Greenwood-Nimmo, M., Hsiao, C. Y. L., & Qi, L. (2021). Higher-order comoment contagion among G20 equity markets during the COVID-19 pandemic. Finance Research Letters, 102150. doi:10.1016/j.frl.2021.102150.

Amar, A. Ben, Belaid, F., Youssef, A. Ben, Chiao, B., & Guesmi, K. (2021). The unprecedented reaction of equity and commodity markets to COVID-19. Finance Research Letters, 38. doi:10.1016/j.frl.2020.101853.

Benlagha, N., & Omari, S. El. (2021). Connectedness of stock markets with gold and oil: New evidence from COVID-19 pandemic. Finance Research Letters, 102373. doi:10.1016/j.frl.2021.102373.

Bakry, W., Kavalmthara, P. J., Saverimuttu, V., Liu, Y., & Cyril, S. (2021). Response of stock market volatility to COVID-19 announcements and stringency measures: A comparison of developed and emerging markets. Finance Research Letters, 102350. doi:10.1016/j.frl.2021.102350.

Liu, Y., Wei, Y., Wang, Q., & Liu, Y. (2021). International stock market risk contagion during the COVID-19 pandemic. Finance Research Letters, 102145. doi:10.1016/j.frl.2021.102145.

Szczygielski, J. J., Bwanya, P. R., Charteris, A., & Brzeszczyński, J. (2021). The only certainty is uncertainty: An analysis of the impact of COVID-19 uncertainty on regional stock markets. Finance Research Letters, 101945. doi:10.1016/j.frl.2021.101945.

Yarovaya, L., Elsayed, A. H., & Hammoudeh, S. (2021). Determinants of Spillovers between Islamic and Conventional Financial Markets: Exploring the Safe Haven Assets during the COVID-19 Pandemic. Finance Research Letters, 101979. doi:10.1016/j.frl.2021.101979.

Carter, D., Mazumder, S., Simkins, B., & Sisneros, E. (2021). The stock price reaction of the COVID-19 pandemic on the airline, hotel, and tourism industries. Finance Research Letters, 102047. doi:10.1016/j.frl.2021.102047.

Buszko, M., Orzeszko, W., & Stawarz, M. (2021). COVID-19 pandemic and stability of stock market-A sectoral approach. PLoS ONE, 16(5 May), 250938. doi:10.1371/journal.pone.0250938.

He, P., Sun, Y., Zhang, Y., & Li, T. (2020). COVID–19’s Impact on Stock Prices across Different Sectors—An Event Study Based on the Chinese Stock Market. Emerging Markets Finance and Trade, 56(10), 2198–2212. doi:10.1080/1540496X.2020.1785865.

Sayed, O. A., & Eledum, H. (2021). The short-run response of Saudi Arabia stock market to the outbreak of COVID-19 pandemic: An event-study methodology. International Journal of Finance and Economics, 1–15. doi:10.1002/ijfe.2539.

Alam, M. M., Wei, H., & Wahid, A. N. M. (2021). COVID-19 outbreak and sectoral performance of the Australian stock market: An event study analysis. Australian Economic Papers, 60(3), 482–495. doi:10.1111/1467-8454.12215.

Zoungrana, T. D., Toé, D. L. tan, & Toé, M. (2021). Covid-19 outbreak and stocks return on the West African Economic and Monetary Union’s stock market: An empirical analysis of the relationship through the event study approach. International Journal of Finance and Economics. doi:10.1002/ijfe.2484.

Bissoondoyal-Bheenick, E., Do, H., Hu, X., & Zhong, A. (2021). Learning from SARS: Return and volatility connectedness in COVID-19. Finance Research Letters, 41. doi:10.1016/j.frl.2020.101796.

Castillo, B., León, Á., & Ñíguez, T. M. (2021). Backtesting VaR under the COVID-19 sudden changes in volatility. Finance Research Letters, 102024. doi:10.1016/j.frl.2021.102024.

Engelhardt, N., Krause, M., Neukirchen, D., & Posch, P. N. (2021). Trust and stock market volatility during the COVID-19 crisis. Finance Research Letters, 38. doi:10.1016/j.frl.2020.101873.

Salman, A., & Ali, Q. (2021). Covid-19 and its impact on the stock market in GCC. Journal of Sustainable Finance and Investment. doi:10.1080/20430795.2021.1944036.

Bannigidadmath, D., Narayan, P. K., Phan, D. H. B., & Gong, Q. (2021). How stock markets reacted to COVID-19? Evidence from 25 countries. Finance Research Letters, 102161. doi:10.1016/j.frl.2021.102161.

Osei, P. M., & Adam, A. M. (2020). Quantifying the Information Flow between Ghana Stock Market Index and Its Constituents Using Transfer Entropy. Mathematical Problems in Engineering, 2020. doi:10.1155/2020/6183421.

Schreiber, T. (2000). Measuring information transfer. Physical Review Letters, 85(2), 461–464. doi:10.1103/PhysRevLett.85.461.

Kwon, O., & Oh, G. (2012). Asymmetric information flow between market index and individual stocks in several stock markets. Epl, 97(2), 28007. doi:10.1209/0295-5075/97/28007.

Kwon, O., & Yang, J. S. (2008). Information flow between composite stock index and individual stocks. Physica A: Statistical Mechanics and Its Applications, 387(12), 2851–2856. doi:10.1016/j.physa.2008.01.007.

Dimpfl, T., & Peter, F. J. (2013). Using transfer entropy to measure information flows between financial markets. Studies in Nonlinear Dynamics and Econometrics, 17(1), 85–102. doi:10.1515/snde-2012-0044.

Marschinski, R., & Kantz, H. (2002). Analysing the information flow between financial time series. The European Physical Journal B, 30(2), 275–281. doi:10.1140/epjb/e2002-00379-2.

Oh, G., Oh, T., Kim, H., & Kwon, O. (2014). An information flow among industry sectors in the Korean stock market. Journal of the Korean Physical Society, 65(12), 2140–2146. doi:10.3938/jkps.65.2140.

Yao, C. Z., & Li, H. Y. (2020). Effective Transfer Entropy Approach to Information Flow among EPU, Investor Sentiment and Stock Market. Frontiers in Physics, 8. doi:10.3389/fphy.2020.00206.

Liu, A., Chen, J., Yang, S. Y., & Hawkes, A. G. (2020). The flow of information in trading: An entropy approach to market regimes. Entropy, 22(9), 1064. doi:10.3390/E22091064.

Lahmiri, S., & Bekiros, S. (2020). Renyi entropy and mutual information measurement of market expectations and investor fear during the COVID-19 pandemic. Chaos, Solitons and Fractals, 139, 110084. doi:10.1016/j.chaos.2020.110084.


Full Text: PDF

DOI: 10.28991/HEF-2021-02-01-05

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Saeed Golmohammadi, Babak Fazelabdolabadi