Araştırma Makalesi

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

Cilt: 7 Sayı: 2 31 Aralık 2025
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Dynamic Connectedness and Risk Transmission Among Global Sectoral Indices: Findings from COVID-19 and the Russia-Ukraine War

Öz

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.

Anahtar Kelimeler

Etik Beyan

Bu çalışmanın, özgün bir çalışma olduğunu; çalışmanın hazırlık, veri toplama, analiz ve bilgilerin sunumu olmak üzere tüm aşamalarından bilimsel etik ilke ve kurallarına uygun davrandığımı; bu çalışma kapsamında elde edilmeyen tüm veri ve bilgiler için kaynak gösterdiğimi ve bu kaynaklara kaynakçada yer verdiğimi; kullanılan verilerde herhangi bir değişiklik yapmadığımı, çalışmanın Committee on Publication Ethics (COPE)' in tüm şartlarını ve koşullarını kabul ederek etik görev ve sorumluluklara riayet ettiğimi beyan ederim. Herhangi bir zamanda, çalışmayla ilgili yaptığım bu beyana aykırı bir durumun saptanması durumunda, ortaya çıkacak tüm ahlaki ve hukuki sonuçlara razı olduğumu bildiririm.

Kaynakça

  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

Ayrıntılar

Birincil Dil

İngilizce

Konular

Finans

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

31 Aralık 2025

Gönderilme Tarihi

16 Kasım 2025

Kabul Tarihi

15 Aralık 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 7 Sayı: 2

Kaynak Göster

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 Journal of Complex Systems in Social Sciences. 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 (01 Aralık 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 Journal of Complex Systems in Social Sciences, c. 7, sy 2, ss. 154–172, Ara. 2025, [çevrimiçi]. Erişim adresi: 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 (01 Aralık 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 Journal of Complex Systems in Social Sciences. 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, c. 7, sy 2, Aralık 2025, ss. 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 Journal of Complex Systems in Social Sciences [Internet]. 01 Aralık 2025;7(2):154-72. Erişim adresi: https://izlik.org/JA54UE87EY