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Impact of COVID-19 on G20 countries: analysis of economic recession using data mining approaches

Author

Listed:
  • Osman Taylan

    (King Abdulaziz University)

  • Abdulaziz S. Alkabaa

    (King Abdulaziz University)

  • Mustafa Tahsin Yılmaz

    (King Abdulaziz University)

Abstract

The G20 countries are the locomotives of economic growth, representing 64% of the global population and including 4.7 billion inhabitants. As a monetary and market value index, real gross domestic product (GDP) is affected by several factors and reflects the economic development of countries. This study aimed to reveal the hidden economic patterns of G20 countries, study the complexity of related economic factors, and analyze the economic reactions taken by policymakers during the coronavirus disease of 2019 (COVID-19) pandemic recession (2019–2020). In this respect, this study employed data-mining techniques of nonparametric classification tree and hierarchical clustering approaches to consider factors such as GDP/capita, industrial production, government spending, COVID-19 cases/population, patient recovery, COVID-19 death cases, number of hospital beds/1000 people, and percentage of the vaccinated population to identify clusters for G20 countries. The clustering approach can help policymakers measure economic indices in terms of the factors considered to identify the specific focus of influences on economic development. The results exhibited significant findings for the economic effects of the COVID-19 pandemic on G20 countries, splitting them into three clusters by sharing different measurements and patterns (harmonies and variances across G20 countries). A comprehensive statistical analysis was performed to analyze endogenous and exogenous factors. Similarly, the classification and regression tree method was applied to predict the associations between the response and independent factors to split the G-20 countries into different groups and analyze the economic recession. Variables such as GDP per capita and patient recovery of COVID-19 cases with values of $12,012 and 82.8%, respectively, were the most significant factors for clustering the G20 countries, with a correlation coefficient (R2) of 91.8%. The results and findings offer some crucial recommendations to handle pandemics in terms of the suggested economic systems by identifying the challenges that the G20 countries have experienced.

Suggested Citation

  • Osman Taylan & Abdulaziz S. Alkabaa & Mustafa Tahsin Yılmaz, 2022. "Impact of COVID-19 on G20 countries: analysis of economic recession using data mining approaches," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    • Handle: RePEc:spr:fininn:v:8:y:2022:i:1:d:10.1186_s40854-022-00385-y
    DOI: 10.1186/s40854-022-00385-y
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    as
    1. Salisu, Afees A. & Vo, Xuan Vinh, 2020. "Predicting stock returns in the presence of COVID-19 pandemic: The role of health news," International Review of Financial Analysis, Elsevier, vol. 71(C).
    2. Peng-Fei Dai & Xiong Xiong & Zhifeng Liu & Toan Luu Duc Huynh & Jianjun Sun, 2021. "Preventing crash in stock market: The role of economic policy uncertainty during COVID-19," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-15, December.
    3. HaiYue Liu & Aqsa Manzoor & CangYu Wang & Lei Zhang & Zaira Manzoor, 2020. "The COVID-19 Outbreak and Affected Countries Stock Markets Response," IJERPH, MDPI, vol. 17(8), pages 1-19, April.
    4. Topcu, Mert & Gulal, Omer Serkan, 2020. "The impact of COVID-19 on emerging stock markets," Finance Research Letters, Elsevier, vol. 36(C).
    5. World Bank, 2020. "Global Economic Prospects, January 2020," World Bank Publications - Books, The World Bank Group, number 33044, December.
    6. Warwick McKibbin & David Vines, 2020. "Global macroeconomic cooperation in response to the COVID-19 pandemic: a roadmap for the G20 and the IMF," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 36(Supplemen), pages 297-337.
    7. Carol Corrado & Charles Hulten & Daniel Sichel, 2009. "Intangible Capital And U.S. Economic Growth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(3), pages 661-685, September.
    8. Wenmin Wu & Chien-Chiang Lee & Wenwu Xing & Shan-Ju Ho, 2021. "The impact of the COVID-19 outbreak on Chinese-listed tourism stocks," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-18, December.
    9. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    10. Muhammad Khalid Anser & Muhammad Azhar Khan & Khalid Zaman & Abdelmohsen A. Nassani & Sameh E. Askar & Muhammad Moinuddin Qazi Abro & Ahmad Kabbani, 2021. "Financial development during COVID-19 pandemic: the role of coronavirus testing and functional labs," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-13, December.
    11. Al-Awadhi, Abdullah M. & Alsaifi, Khaled & Al-Awadhi, Ahmad & Alhammadi, Salah, 2020. "Death and contagious infectious diseases: Impact of the COVID-19 virus on stock market returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    12. Huayu Shen & Mengyao Fu & Hongyu Pan & Zhongfu Yu & Yongquan Chen, 2020. "The Impact of the COVID-19 Pandemic on Firm Performance," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(10), pages 2213-2230, August.
    13. G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
    14. Sharif, Arshian & Aloui, Chaker & Yarovaya, Larisa, 2020. "COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach," International Review of Financial Analysis, Elsevier, vol. 70(C).
    15. Afees A. Salisu & Kingsley Obiora, 2021. "COVID-19 pandemic and the crude oil market risk: hedging options with non-energy financial innovations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    16. Manel Youssef & Khaled Mokni & Ahdi Noomen Ajmi, 2021. "Dynamic connectedness between stock markets in the presence of the COVID-19 pandemic: does economic policy uncertainty matter?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
    17. Asror Nigmonov & Syed Shams, 2021. "COVID-19 pandemic risk and probability of loan default: evidence from marketplace lending market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-28, December.
    18. Corbet, Shaen & Hou, Yang & Hu, Yang & Lucey, Brian & Oxley, Les, 2021. "Aye Corona! The contagion effects of being named Corona during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 38(C).
    19. Michele Costola & Matteo Iacopini & Carlo R. M. A. Santagiustina, 2020. "Public Concern and the Financial Markets during the COVID-19 outbreak," Papers 2005.06796, arXiv.org.
    20. Azimli, Asil, 2020. "The impact of COVID-19 on the degree of dependence and structure of risk-return relationship: A quantile regression approach," Finance Research Letters, Elsevier, vol. 36(C).
    21. Ali, Mohsin & Alam, Nafis & Rizvi, Syed Aun R., 2020. "Coronavirus (COVID-19) — An epidemic or pandemic for financial markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    22. Alberto Cavallo, 2020. "Inflation with Covid Consumption Baskets," NBER Working Papers 27352, National Bureau of Economic Research, Inc.
    23. World Bank, 2020. "Global Economic Prospects, June 2020," World Bank Publications - Books, The World Bank Group, number 33748, December.
    24. Gordana Djurovic & Vasilije Djurovic & Martin M. Bojaj, 2020. "The macroeconomic effects of COVID-19 in Montenegro: a Bayesian VARX approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-16, December.
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    Cited by:

    1. Sanjaya, Angelie Natalia, 2023. "Strategi dan Inovasi "Mengganggu" sebagai Antisipasi Resesi 2023," OSF Preprints hrb7p, Center for Open Science.

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    More about this item

    Keywords

    Hierarchical clustering; CART; Economic recession; Data mining; COVID-19; G20 countries;
    All these keywords.

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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