Research Article

Dynamic Connectedness and Risk Transmission Among Global Sectoral Indices: Findings from COVID-19 and the Russia-Ukraine War

Volume: 7 Number: 2 December 31, 2025
TR EN

Dynamic Connectedness and Risk Transmission Among Global Sectoral Indices: Findings from COVID-19 and the Russia-Ukraine War

Abstract

This study explores the dynamic relationships and volatility spillovers among global sectoral indices during the Covid-19 pandemic and the Russia–Ukraine war. It evaluates changes in the connectedness of sectoral indices throughout both crisis periods. The finance, materials, industrials, health care, energy, and consumer staples sectors—represented by the MSCI ACWI indices—are analysed using the TVP-VAR-SV model. The findings reveal significant increases in cross-sectoral connectedness during both crises. During the pandemic, the health care sector was at the core of the connectedness network, exhibiting strong linkages with other sectors. Conversely, during the war, the energy sector assumed a central role, with intensified interactions particularly between the energy sector and the health care, financial, and industrials sectors. Marked increases in volatility were observed in the health care and financial sectors during the pandemic, and in the energy and materials sectors during the war. In the financial sector, short-term shocks predominated during the war, whereas in the energy and health care sectors, short-term shocks in the early phase gave way to long-term, persistent shocks later on. Over time, a changing impulse–response dynamic emerged: short-term effects dominated the health care and industrials sectors during the pandemic, while long-term impacts were more prevalent in the financial and consumer staples sectors. Furthermore, the results underscore the financial sector’s leading role in transmitting risk across sectors during both crisis periods.

Keywords

Ethical Statement

I declare that this study is an original work; that I have adhered to scientific ethical principles and rules throughout all stages of the study, including preparation, data collection, analysis, and presentation of information; that I have cited all data and information not obtained within the scope of this study and included these sources in the bibliography; that I have not made any changes to the data used; and that I have accepted all terms and conditions of the Committee on Publication Ethics (COPE) and have complied with my ethical duties and responsibilities. I hereby declare that I consent to all ethical and legal consequences that may arise if, at any time, any violation of this declaration regarding the study is detected.

References

  1. Aizenman, J., Lindahl, R., Stenvall, D., & Uddin, G. S. (2024). Geopolitical shocks and commodity market dynamics: New evidence from the Russia-Ukraine conflict. European Journal of Political Economy, 85, 102574. https://doi.org/10.1016/j.ejpoleco.2024.102574
  2. Akhtaruzzaman, M., Boubaker, S., & Sensoy, A. (2021). Financial contagion during COVID–19 crisis. Finance research letters, 38, 101604. https://doi.org/10.1016/j.frl.2020.101604
  3. Alam, M. K., Tabash, M. I., Billah, M., Kumar, S., & Anagreh, S. (2022). The impacts of the Russia–Ukraine invasion on global markets and commodities: A dynamic connectedness among G7 and BRIC markets. Journal of Risk and Financial Management, 15(8), 352. https://doi.org/10.3390/jrfm15080352
  4. Almansour, B. Y., Elkrghli, S., Gaytan, J. C. T., & Mohnot, R. (2023). Interconnectedness dynamic spillover among US, Russian, and Ukrainian equity indices during the COVID-19 pandemic and the Russian–Ukrainian war. Heliyon, 9(12).
  5. Anyikwa, I., & Phiri, A. (2023). Quantile connectedness amongst BRICS equity markets during the COVID-19 pandemic and Russia–Ukraine war. Cogent Economics & Finance, 11(2), 2251300. https://doi.org/10.1080/23322039.2023.2251300
  6. Baqaee, D., & Farhi, E. (2022). Supply and demand in disaggregated Keynesian economies with an application to the Covid-19 crisis. American Economic Review, 112(5), 1397-1436.
  7. Cavaglia, S., Brightman, C., & Aked, M. (2000). The increasing importance of industry factors. Financial Analysts Journal, 56(5), 41-54. https://doi.org/10.2469/faj.v56.n5.2389
  8. Cheng, T., Liu, J., Yao, W., & Zhao, A. B. (2022). The impact of COVID-19 pandemic on the volatility connectedness network of global stock market. Pacific-Basin Finance Journal, 71, 101678. https://doi.org/10.1016/j.pacfin.2021.101678

Details

Primary Language

English

Subjects

Finance

Journal Section

Research Article

Publication Date

December 31, 2025

Submission Date

November 16, 2025

Acceptance Date

December 15, 2025

Published in Issue

Year 2025 Volume: 7 Number: 2

APA
Şahin, E. (2025). Dynamic Connectedness and Risk Transmission Among Global Sectoral Indices: Findings from COVID-19 and the Russia-Ukraine War. Quantrade Journal of Complex Systems in Social Sciences, 7(2), 154-172. https://izlik.org/JA54UE87EY
AMA
1.Şahin E. Dynamic Connectedness and Risk Transmission Among Global Sectoral Indices: Findings from COVID-19 and the Russia-Ukraine War. Quantrade. 2025;7(2):154-172. https://izlik.org/JA54UE87EY
Chicago
Şahin, Emrah. 2025. “Dynamic Connectedness and Risk Transmission Among Global Sectoral Indices: Findings from COVID-19 and the Russia-Ukraine War”. Quantrade Journal of Complex Systems in Social Sciences 7 (2): 154-72. https://izlik.org/JA54UE87EY.
EndNote
Şahin E (December 1, 2025) Dynamic Connectedness and Risk Transmission Among Global Sectoral Indices: Findings from COVID-19 and the Russia-Ukraine War. Quantrade Journal of Complex Systems in Social Sciences 7 2 154–172.
IEEE
[1]E. Şahin, “Dynamic Connectedness and Risk Transmission Among Global Sectoral Indices: Findings from COVID-19 and the Russia-Ukraine War”, Quantrade, vol. 7, no. 2, pp. 154–172, Dec. 2025, [Online]. Available: https://izlik.org/JA54UE87EY
ISNAD
Şahin, Emrah. “Dynamic Connectedness and Risk Transmission Among Global Sectoral Indices: Findings from COVID-19 and the Russia-Ukraine War”. Quantrade Journal of Complex Systems in Social Sciences 7/2 (December 1, 2025): 154-172. https://izlik.org/JA54UE87EY.
JAMA
1.Şahin E. Dynamic Connectedness and Risk Transmission Among Global Sectoral Indices: Findings from COVID-19 and the Russia-Ukraine War. Quantrade. 2025;7:154–172.
MLA
Şahin, Emrah. “Dynamic Connectedness and Risk Transmission Among Global Sectoral Indices: Findings from COVID-19 and the Russia-Ukraine War”. Quantrade Journal of Complex Systems in Social Sciences, vol. 7, no. 2, Dec. 2025, pp. 154-72, https://izlik.org/JA54UE87EY.
Vancouver
1.Emrah Şahin. Dynamic Connectedness and Risk Transmission Among Global Sectoral Indices: Findings from COVID-19 and the Russia-Ukraine War. Quantrade [Internet]. 2025 Dec. 1;7(2):154-72. Available from: https://izlik.org/JA54UE87EY

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