IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v85y2023ics0038012122000544.html
   My bibliography  Save this article

Nexus between drivers of COVID-19 and country risks

Author

Listed:
  • Qazi, Abroon
  • Simsekler, Mecit Can Emre

Abstract

COVID-19 has disrupted all spheres of life, including country risk regarding the exposure of economies to multi-dimensional risk drivers. However, it remains unexplored how COVID-19 has impacted different drivers of country risk in a probabilistic network setting. This paper uses two datasets on country-level COVID-19 and country risks to explore dependencies among associated drivers using a Bayesian Belief Network model. The drivers of COVID-19 risk, considered in this paper, are hazard and exposure, vulnerability and lack of coping capacity, whereas country risk drivers are economic, financing, political, business environment and commercial risks. The results show that business environment risk is significantly influenced by COVID-19 risk, whereas commercial risk (demand disruptions) is the least important factor driving COVID-19 and country risks. Further, country risk is mainly influenced by financing, political and economic risks. The contribution of this study is to explore the impact of various drivers associated with the country-level COVID-19 and country risks in a unified probabilistic network setting, which can help policy-makers prioritize drivers for managing the two risks.

Suggested Citation

  • Qazi, Abroon & Simsekler, Mecit Can Emre, 2023. "Nexus between drivers of COVID-19 and country risks," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    • Handle: RePEc:eee:soceps:v:85:y:2023:i:c:s0038012122000544
    DOI: 10.1016/j.seps.2022.101276
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012122000544
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.seps.2022.101276?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kimberly M. Thompson & Dominika A. Kalkowska & Kamran Badizadegan, 2021. "A Health Economic Analysis for Oral Poliovirus Vaccine to Prevent COVID‐19 in the United States," Risk Analysis, John Wiley & Sons, vol. 41(2), pages 376-386, February.
    2. Nicoleta Bărbuță-Mișu & Mara Madaleno, 2020. "Assessment of Bankruptcy Risk of Large Companies: European Countries Evolution Analysis," JRFM, MDPI, vol. 13(3), pages 1-28, March.
    3. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    4. Ekici, Ahmet & Önsel Ekici, Şule, 2021. "Understanding and managing complexity through Bayesian network approach: The case of bribery in business transactions," Journal of Business Research, Elsevier, vol. 129(C), pages 757-773.
    5. Garvey, Myles D. & Carnovale, Steven & Yeniyurt, Sengun, 2015. "An analytical framework for supply network risk propagation: A Bayesian network approach," European Journal of Operational Research, Elsevier, vol. 243(2), pages 618-627.
    6. Deligonul, Seyda Z., 2020. "Multinational country risk: Exposure to asset holding risk and operating risk in international business," Journal of World Business, Elsevier, vol. 55(2).
    7. A. M. Hanea & G. F. Nane & B. A. Wielicki & R. M. Cooke, 2018. "Bayesian networks for identifying incorrect probabilistic intuitions in a climate trend uncertainty quantification context," Journal of Risk Research, Taylor & Francis Journals, vol. 21(9), pages 1146-1161, September.
    8. Ackermann, Fran & Howick, Susan & Quigley, John & Walls, Lesley & Houghton, Tom, 2014. "Systemic risk elicitation: Using causal maps to engage stakeholders and build a comprehensive view of risks," European Journal of Operational Research, Elsevier, vol. 238(1), pages 290-299.
    9. Ashraf, Badar Nadeem, 2020. "Economic impact of government interventions during the COVID-19 pandemic: International evidence from financial markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    10. Aven, Terje, 2016. "Risk assessment and risk management: Review of recent advances on their foundation," European Journal of Operational Research, Elsevier, vol. 253(1), pages 1-13.
    11. Tang, Ryan W. & Buckley, Peter J., 2020. "Host country risk and foreign ownership strategy: Meta-analysis and theory on the moderating role of home country institutions," International Business Review, Elsevier, vol. 29(4).
    12. Bruce G. Marcot & Anca M. Hanea, 2021. "What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?," Computational Statistics, Springer, vol. 36(3), pages 2009-2031, September.
    13. Brown, Christopher L. & Cavusgil, S. Tamer & Lord, A. Wayne, 2015. "Country-risk measurement and analysis: A new conceptualization and managerial tool," International Business Review, Elsevier, vol. 24(2), pages 246-265.
    14. Korhan Gokmenoglu & Dervis Kirikkaleli & Baris Memduh Eren, 2019. "Time and frequency domain causality Testing: The causal linkage between FDI and economic risk for the case of Turkey," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 28(6), pages 649-667, August.
    15. Chiu, Yi-Bin & Lee, Chien-Chiang, 2019. "Financial development, income inequality, and country risk," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 1-18.
    16. Rizwan, Muhammad Suhail & Ahmad, Ghufran & Ashraf, Dawood, 2020. "Systemic risk: The impact of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    17. Louis Anthony Cox Jr. & Douglas A. Popken & Richard X. Sun, 2018. "Causal Analytics and Risk Analytics," International Series in Operations Research & Management Science, in: Causal Analytics for Applied Risk Analysis, chapter 0, pages 3-95, Springer.
    18. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    19. Cavusgil, S. Tamer & Deligonul, Seyda & Ghauri, Pervez N. & Bamiatzi, Vassiliki & Park, Byung Il & Mellahi, Kamel, 2020. "Risk in international business and its mitigation," Journal of World Business, Elsevier, vol. 55(2).
    20. Hanea, Anca & Morales Napoles, Oswaldo & Ababei, Dan, 2015. "Non-parametric Bayesian networks: Improving theory and reviewing applications," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 265-284.
    21. Hoti, Suhejla, 2005. "Comparative analysis of risk ratings for the East European region," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 449-462.
    22. F Ackermann & C Eden & T Williams & S Howick, 2007. "Systemic risk assessment: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(1), pages 39-51, January.
    23. Ashraf, Badar Nadeem, 2020. "Stock markets’ reaction to COVID-19: Cases or fatalities?," Research in International Business and Finance, Elsevier, vol. 54(C).
    24. Louis Anthony Cox Jr. & Douglas A. Popken & Richard X. Sun, 2018. "Causal Analytics for Applied Risk Analysis," International Series in Operations Research and Management Science, Springer, number 978-3-319-78242-3, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Abroon Qazi & Mecit Can Emre Simsekler, 2022. "Prioritizing interdependent drivers of financial, economic, and political risks using a data-driven probabilistic approach," Risk Management, Palgrave Macmillan, vol. 24(2), pages 164-185, June.
    2. Qazi, Abroon, 2023. "Exploring Global Competitiveness Index 4.0 through the lens of country risk," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    3. Al-Maadid, Alanoud & Alhazbi, Saleh & Al-Thelaya, Khaled, 2022. "Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries," Research in International Business and Finance, Elsevier, vol. 61(C).
    4. Aharon, David Y. & Siev, Smadar, 2021. "COVID-19, government interventions and emerging capital markets performance," Research in International Business and Finance, Elsevier, vol. 58(C).
    5. Gu, Tiantian & Venkateswaran, Anand & Erath, Marc, 2023. "Impact of fiscal stimulus on volatility: A cross-country analysis," Research in International Business and Finance, Elsevier, vol. 65(C).
    6. Bazán-Palomino, Walter & Winkelried, Diego, 2021. "FX markets’ reactions to COVID-19: Are they different?," International Economics, Elsevier, vol. 167(C), pages 50-58.
    7. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2022. "The impact and role of COVID-19 uncertainty: A global industry analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).
    8. Del Lo, Gaye & Basséne, Théophile & Séne, Babacar, 2022. "COVID-19 And the african financial markets : Less infection, less economic impact ?," Finance Research Letters, Elsevier, vol. 45(C).
    9. Zaremba, Adam & Kizys, Renatas & Tzouvanas, Panagiotis & Aharon, David Y. & Demir, Ender, 2021. "The quest for multidimensional financial immunity to the COVID-19 pandemic: Evidence from international stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    10. Díaz, Fernando & Henríquez, Pablo A. & Winkelried, Diego, 2022. "Stock market volatility and the COVID-19 reproductive number," Research in International Business and Finance, Elsevier, vol. 59(C).
    11. shear, Falik & Ashraf, Badar Nadeem, 2022. "The performance of Islamic versus conventional stocks during the COVID-19 shock: Evidence from firm-level data," Research in International Business and Finance, Elsevier, vol. 60(C).
    12. Boubaker, Sabri & Goodell, John W. & Kumar, Satish & Sureka, Riya, 2023. "COVID-19 and finance scholarship: A systematic and bibliometric analysis," International Review of Financial Analysis, Elsevier, vol. 85(C).
    13. Ashraf, Badar Nadeem, 2021. "Stock markets’ reaction to Covid-19: Moderating role of national culture," Finance Research Letters, Elsevier, vol. 41(C).
    14. Kamal, Javed Bin & Wohar, Mark, 2023. "Heterogenous responses of stock markets to covid related news and sentiments: Evidence from the 1st year of pandemic," International Economics, Elsevier, vol. 173(C), pages 68-85.
    15. Li, Jie & An, Yahui & Wang, Lidan & Zhang, Yongjie, 2022. "Combating the COVID-19 pandemic: The role of disaster experience," Research in International Business and Finance, Elsevier, vol. 60(C).
    16. Liu, Hao & Yi, Xingjian & Yin, Libo, 2021. "The impact of operating flexibility on firms’ performance during the COVID-19 outbreak: Evidence from China," Finance Research Letters, Elsevier, vol. 38(C).
    17. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Karikari, Nana Kwasi & Gil-Alana, Luis Alberiko, 2022. "The outbreak of COVID-19 and stock market liquidity: Evidence from emerging and developed equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    18. Costa, Antonio & Matos, Paulo & da Silva, Cristiano, 2022. "Sectoral connectedness: New evidence from US stock market during COVID-19 pandemics," Finance Research Letters, Elsevier, vol. 45(C).
    19. Mahata, Ajit & Rai, Anish & Nurujjaman, Md. & Prakash, Om, 2021. "Modeling and analysis of the effect of COVID-19 on the stock price: V and L-shape recovery," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 574(C).
    20. Yousfi, Mohamed & Ben Zaied, Younes & Ben Cheikh, Nidhaleddine & Ben Lahouel, Béchir & Bouzgarrou, Houssem, 2021. "Effects of the COVID-19 pandemic on the US stock market and uncertainty: A comparative assessment between the first and second waves," Technological Forecasting and Social Change, Elsevier, vol. 167(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:soceps:v:85:y:2023:i:c:s0038012122000544. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/seps .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.