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Emerging and advanced economies markets behaviour during the COVID‐19 crisis era

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  • Fateh Belaid
  • Amine Ben Amar
  • Stéphane Goutte
  • Khaled Guesmi

Abstract

This article examines the consequences of the COVID‐19 crisis on the interdependencies between emerging and advanced economies. Using daily market index data from 22 developed and emerging markets, we develop a combination of statistical methods based on Diebold and Yilmaz spillover index and Toda–Yamamoto and Dolado and Lütkepohl causality approach. The results substantiate an increase in the interdependence between emerging and advances economies, which suggests an increase in the transmission of the stress and uncertainty between financial markets during the pandemic period. Our findings show that the emerging countries are affected by the financial markets of advanced economies during the COVID‐19 crisis and, in particular, by European markets, which appear to be the primary driver of contagion and transmission of stress and uncertainty to all other regional markets.

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  • Fateh Belaid & Amine Ben Amar & Stéphane Goutte & Khaled Guesmi, 2023. "Emerging and advanced economies markets behaviour during the COVID‐19 crisis era," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1563-1581, April.
    • Handle: RePEc:wly:ijfiec:v:28:y:2023:i:2:p:1563-1581
    DOI: 10.1002/ijfe.2494
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    1. Gupta, Rangan & Subramaniam, Sowmya & Bouri, Elie & Ji, Qiang, 2021. "Infectious disease-related uncertainty and the safe-haven characteristic of US treasury securities," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 289-298.
    2. Elie Bouri & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2020. "Infectious Diseases, Market Uncertainty and Oil Market Volatility," Energies, MDPI, vol. 13(16), pages 1-8, August.
    3. Antonakakis, N. & Badinger, H., 2016. "Economic growth, volatility, and cross-country spillovers: New evidence for the G7 countries," Economic Modelling, Elsevier, vol. 52(PB), pages 352-365.
    4. Amine Ben Amar & Fateh Bélaïd & Adel Ben Youssef & Khaled Guesmi, 2021. "Connectedness among regional financial markets in the context of the COVID-19," Applied Economics Letters, Taylor & Francis Journals, vol. 28(20), pages 1789-1796, November.
    5. Mensi, Walid & Beljid, Makram & Boubaker, Adel & Managi, Shunsuke, 2013. "Correlations and volatility spillovers across commodity and stock markets: Linking energies, food, and gold," Economic Modelling, Elsevier, vol. 32(C), pages 15-22.
    6. Santiago Gamba-Santamaria & Jose Eduardo Gomez-Gonzalez & Jorge Luis Hurtado-Guarin & Luis Fernando Melo-Velandia, 2019. "Volatility spillovers among global stock markets: measuring total and directional effects," Empirical Economics, Springer, vol. 56(5), pages 1581-1599, May.
    7. Marais, E. & Bates, S., 2006. "An empirical study to identify shift contagion during the Asian crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(5), pages 468-479, December.
    8. Belke, Ansgar & Dubova, Irina, 2018. "International spillovers in global asset markets," Economic Systems, Elsevier, vol. 42(1), pages 3-17.
    9. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    10. repec:dau:papers:123456789/272 is not listed on IDEAS
    11. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    12. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    13. Fan, Victoria Y & Jamison, Dean T & Summers, Lawrence H, 2018. "Pandemic risk: how large are the expected losses?," Scholarly Articles 35014363, Harvard Kennedy School of Government.
    14. Silvennoinen, Annastiina & Thorp, Susan, 2013. "Financialization, crisis and commodity correlation dynamics," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 42-65.
    15. Ichev, Riste & Marinč, Matej, 2018. "Stock prices and geographic proximity of information: Evidence from the Ebola outbreak," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 153-166.
    16. Rodriguez, Juan Carlos, 2007. "Measuring financial contagion: A Copula approach," Journal of Empirical Finance, Elsevier, vol. 14(3), pages 401-423, June.
    17. King, Mervyn A & Wadhwani, Sushil, 1990. "Transmission of Volatility between Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 5-33.
    18. Chun-Da Chen & Chin-Chun Chen & Wan-Wei Tang & Bor-Yi Huang, 2009. "The positive and negative impacts of the sars outbreak:a case of the Taiwan industries," Journal of Developing Areas, Tennessee State University, College of Business, vol. 43(1), pages 281-293, September.
    19. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    20. Amine Ben Amar & Fateh Belaid & Adel Ben Youssef & Benjamin Chiao & Khaled Guesmi, 2020. "The Unprecedented Equity and Commodity Markets Reaction to COVID-19," Post-Print hal-03131564, HAL.
    21. Kenourgios, Dimitris & Samitas, Aristeidis & Paltalidis, Nikos, 2011. "Financial crises and stock market contagion in a multivariate time-varying asymmetric framework," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 92-106, February.
    22. Kang, Sang Hoon & McIver, Ron & Yoon, Seong-Min, 2017. "Dynamic spillover effects among crude oil, precious metal, and agricultural commodity futures markets," Energy Economics, Elsevier, vol. 62(C), pages 19-32.
    23. Aït-Sahalia, Yacine & Cacho-Diaz, Julio & Laeven, Roger J.A., 2015. "Modeling financial contagion using mutually exciting jump processes," Journal of Financial Economics, Elsevier, vol. 117(3), pages 585-606.
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    2. Carlos David Cardona-Arenas & Rafael Gómez-Gómez & Eliana Morales-Zuluaga, 2023. "COVID-19 and its short-term informational impact on the stock markets of the Pacific Alliance countries," SN Business & Economics, Springer, vol. 3(5), pages 1-23, May.
    3. Vidal-Llana, Xenxo & Guillén, Montserrat, 2022. "Cross-sectional quantile regression for estimating conditional VaR of returns during periods of high volatility," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    4. Balcilar, Mehmet & Ozdemir, Huseyin & Agan, Busra, 2022. "Effects of COVID-19 on cryptocurrency and emerging market connectedness: Empirical evidence from quantile, frequency, and lasso networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    5. Gao Tianming & Vasilii Erokhin & Aleksandr Arskiy & Mikail Khudzhatov, 2021. "Has the COVID-19 Pandemic Affected Maritime Connectivity? An Estimation for China and the Polar Silk Road Countries," Sustainability, MDPI, vol. 13(6), pages 1-39, March.
    6. Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    7. Claudiu Tiberiu Albulescu & Eugenia Grecu, 2023. "Government Interventions and Sovereign Bond Market Volatility during COVID-19: A Quantile Analysis," Mathematics, MDPI, vol. 11(5), pages 1-14, February.
    8. Giofré, Maela, 2022. "Foreign investment in times of COVID-19: How strong is the flight to advanced economies?," Journal of Multinational Financial Management, Elsevier, vol. 64(C).
    9. Samet Gunay & Walid Bakry & Somar Al-Mohamad, 2021. "The Australian Stock Market’s Reaction to the First Wave of the COVID-19 Pandemic and Black Summer Bushfires: A Sectoral Analysis," JRFM, MDPI, vol. 14(4), pages 1-19, April.
    10. Najaf Iqbal & Elie Bouri & Guangrui Liu & Ashish Kumar, 2024. "Volatility spillovers during normal and high volatility states and their driving factors: A cross‐country and cross‐asset analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 975-995, January.
    11. Pengxiang Zhai & Fei Wu & Qiang Ji & Duc Khuong Nguyen, 2024. "From fears to recession? Time‐frequency risk contagion among stock and credit default swap markets during the COVID pandemic," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 551-580, January.
    12. Bouri, Elie & Harb, Etienne, 2022. "The size of good and bad volatility shocks does matter for spillovers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).

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