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Market Resilience Unveiled: Insights from Quantile Time Frequency Connectedness into Emerging Countries Stock Indices

Author

Listed:
  • İhsan Erdem Kayral

    (Ostim Technical University)

  • Melike Aktaş Bozkurt

    (Ostim Technical University)

  • Sahar Loukil

    (University of Sfax)

  • Ahmed Jeribi

    (University of Monastir)

Abstract

This study provides an in-depth analysis of the dynamic connectedness among BRICS-plus stock indices, focusing on three distinct periods: pre-COVID-19 era, during the COVID-19 pandemic, and the Russia-Ukraine conflict. Utilizing the Quantile Vector Autoregressive (QVAR) connectivity approach, our methodology starts with the median quantile and systematically expands to various quantiles. This systematic progression allows us to comprehensively examine the temporal risk characteristics and interconnections across specific quantiles, enhancing our understanding through frequency domain analysis. Our findings reveal significant changes in the total connectedness index (TCI) and the roles of individual indices as either net transmitters or receivers of shocks during different crises. Particularly noteworthy is the resilience demonstrated by indices such as JTOPI, BVSP, TASI, and RTSI against risk transmission amidst the pandemic. Conversely, during the Russia-Ukraine conflict, BSE30, JTOPI, and ADX exhibited varying level of resilience. These insights underscore the sensitivity of financial markets to geopolitical events and highlight the importance of tailored risk management and investment strategies. The implications of our study are crucial for financial entities and policymakers aiming to optimize frameworks for market stability and risk mitigation in the face of global crises.

Suggested Citation

  • İhsan Erdem Kayral & Melike Aktaş Bozkurt & Sahar Loukil & Ahmed Jeribi, 2025. "Market Resilience Unveiled: Insights from Quantile Time Frequency Connectedness into Emerging Countries Stock Indices," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 7781-7815, June.
    • Handle: RePEc:spr:jknowl:v:16:y:2025:i:2:d:10.1007_s13132-024-02188-1
    DOI: 10.1007/s13132-024-02188-1
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    1. Chang, Hao-Wen & Chang, Tsangyao & Lee, Chien-Chiang, 2023. "Return and volatility connectedness among the BRICS stock and oil markets," Resources Policy, Elsevier, vol. 86(PA).
    2. Umar, Zaghum & Trabelsi, Nader & Zaremba, Adam, 2021. "Oil shocks and equity markets: The case of GCC and BRICS economies," Energy Economics, Elsevier, vol. 96(C).
    3. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    4. Kang, Sanghoon & Hernandez, Jose Arreola & Sadorsky, Perry & McIver, Ronald, 2021. "Frequency spillovers, connectedness, and the hedging effectiveness of oil and gold for US sector ETFs," Energy Economics, Elsevier, vol. 99(C).
    5. Chatziantoniou, Ioannis & Gabauer, David & Stenfors, Alexis, 2021. "Interest rate swaps and the transmission mechanism of monetary policy: A quantile connectedness approach," Economics Letters, Elsevier, vol. 204(C).
    6. Pradiptarathi Panda & Wasim Ahmad & M. Thiripalraju, 2023. "Better to Give than to Receive: A Study of BRICS Countries Stock Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 22(2), pages 164-188, June.
    7. Ahmad, Wasim & Mishra, Anil V. & Daly, Kevin J., 2018. "Financial connectedness of BRICS and global sovereign bond markets," Emerging Markets Review, Elsevier, vol. 37(C), pages 1-16.
    8. Stiassny, Alfred, 1996. "A Spectral Decomposition for Structural VAR Models," Empirical Economics, Springer, vol. 21(4), pages 535-555.
    9. Dai, Yingtong & Harris, Richard D.F., 2023. "Average tail risk and aggregate stock returns," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
    10. Younis, Ijaz & Shah, Waheed Ullah & Hkiri, Besma & Qureshi, Fiza & Longsheng, Cheng, 2023. "Risk co-movements and portfolio strategies between energy, gold and BRICS markets," Resources Policy, Elsevier, vol. 82(C).
    11. Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996. "Impulse response analysis in nonlinear multivariate models," Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
    12. 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.
    13. Ahmed BenSaïda, 2023. "The linkage between Bitcoin and foreign exchanges in developed and emerging markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-27, December.
    14. Stoja, Evarist & Polanski, Arnold & Nguyen, Linh H. & Pereverzin, Aleksandr, 2023. "Does systematic tail risk matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
    15. Wang, Yi-Chen & Wang, Ching-Wen & Huang, Chia-Hsing, 2015. "The impact of unconventional monetary policy on the tail risks of stock markets between U.S. and Japan," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 41-51.
    16. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    17. Gagan Sharma & Parthajit Kayal & Piyush Pandey, 2019. "Information Linkages Among BRICS Countries: Empirical Evidence from Implied Volatility Indices," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(3), pages 263-289, December.
    18. Prabheesh, K.P. & Padhan, Rakesh & Bhat, Javed Ahmad, 2024. "Do financial markets react to emerging economies’ asset purchase program? Evidence from the COVID-19 pandemic period," Journal of Asian Economics, Elsevier, vol. 90(C).
    19. Zhang, Yi & Zhou, Long & Wu, Baoxiu & Liu, Fang, 2024. "WITHDRAWN: Extreme risk contagion from the United States to BRICS stock markets: A multivariate quantile analysis," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    20. Edib Smolo & Rashed Jahangir & Ruslan Nagayev & Christo S. C. Tarazi, 2022. "Performances of Islamic and conventional equities during the global health crisis: Time‐frequency analysis of BRICS+T markets," Review of Financial Economics, John Wiley & Sons, vol. 40(3), pages 259-280, July.
    21. Aviral Kumar Tiwari & Sangram Keshari Jena & Nader Trabelsi & Shawkat Hammoudeh, 2022. "Conditional transmission of global shocks to emerging stock markets: evidence from the quantile connectedness network analysis," Applied Economics, Taylor & Francis Journals, vol. 54(31), pages 3621-3634, July.
    22. Elie Bouri & Riza Demirer & Rangan Gupta & Jacobus Nel, 2021. "COVID-19 Pandemic and Investor Herding in International Stock Markets," Risks, MDPI, vol. 9(9), pages 1-11, September.
    23. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    24. Gao, Yang & Li, Yangyang & Wang, Yaojun, 2021. "Risk spillover and network connectedness analysis of China’s green bond and financial markets: Evidence from financial events of 2015–2020," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    25. Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan & Gabauer, David, 2022. "Forecasting stock-market tail risk and connectedness in advanced economies over a century: The role of gold-to-silver and gold-to-platinum price ratios," International Review of Financial Analysis, Elsevier, vol. 83(C).
    26. Chang, Hao-Wen & Chang, Tsangyao & Ling, Yuan Hung & Yang, Yung-Lieh, 2023. "Dynamical linkages between the Brent oil price and stock markets in BRICS using quantile connectedness approach," Finance Research Letters, Elsevier, vol. 54(C).
    27. Nyakurukwa, Kingstone & Seetharam, Yudhvir, 2023. "Quantile and asymmetric return connectedness among BRICS stock markets," The Journal of Economic Asymmetries, Elsevier, vol. 27(C).
    28. Su, Xianfang, 2020. "Measuring extreme risk spillovers across international stock markets: A quantile variance decomposition analysis," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    29. Tomohiro Ando & Matthew Greenwood-Nimmo & Yongcheol Shin, 2022. "Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks," Management Science, INFORMS, vol. 68(4), pages 2401-2431, April.
    30. Khalfaoui, Rabeh & Hammoudeh, Shawkat & Rehman, Mohd Ziaur, 2023. "Spillovers and connectedness among BRICS stock markets, cryptocurrencies, and uncertainty: Evidence from the quantile vector autoregression network," Emerging Markets Review, Elsevier, vol. 54(C).
    31. Rabeh Khalfaoui & Shawkat Hammoudeh & Mohd Ziaur Rehman, 2023. "Spillovers and connectedness among BRICS stock markets, cryptocurrencies, and uncertainty: Evidence from the quantile vector autoregression network," Post-Print hal-03998222, HAL.
    32. Liu, Bing-Yue & Fan, Ying & Ji, Qiang & Hussain, Nazim, 2022. "High-dimensional CoVaR network connectedness for measuring conditional financial contagion and risk spillovers from oil markets to the G20 stock system," Energy Economics, Elsevier, vol. 105(C).
    33. 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.
    34. Kalim Siddiqui, 2016. "Will the Growth of the BRICs Cause a Shift in the Global Balance of Economic Power in the 21st Century?," International Journal of Political Economy, Taylor & Francis Journals, vol. 45(4), pages 315-338, October.
    35. Izunna Anyikwa & Andrew Phiri, 2023. "Quantile connectedness amongst BRICS equity markets during the COVID-19 pandemic and Russia–Ukraine war," Cogent Economics & Finance, Taylor & Francis Journals, vol. 11(2), pages 2251300-225, October.
    36. Mensi, Walid & Al Rababa'a, Abdel Razzaq & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Asymmetric spillover and network connectedness between crude oil, gold, and Chinese sector stock markets," Energy Economics, Elsevier, vol. 98(C).
    37. Li, Yingli & Huang, Jianbai & Gao, Wang & Zhang, Hongwei, 2021. "Analyzing the time-frequency connectedness among oil, gold prices and BRICS geopolitical risks," Resources Policy, Elsevier, vol. 73(C).
    38. Sarra Gouta & Houda BenMabrouk, 2023. "The nexus between herding behavior and spillover: evidence from G7 and BRICS," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 16(2), pages 360-377, September.
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