Journals / Fiscaoeconomia / 2026 / Volume: 10 Issue: 1

The Impact of US-China Tensions on Borsa Istanbul Sector Indices: The Fourier Toda–Yamamoto Causality Approach

ABD-Çin Geriliminin Borsa İstanbul Sektör Endeksleri Üzerindeki Etkisi: Fourier Toda–Yamamoto Nedensellik Yaklaşımı

Fatma Mumcu Küçükçaylı(Burdur Mehmet Akif Ersoy Üniversitesi, Ağlasun Meslek Yüksekokulu)0000-0002-0838-1958
Pages
—
Publication Date
2026-03-17
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The analysis results show that the UCT index has an impact on both the BIST100 and the Services, Financial, Industrial, and Technology indices.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The purpose of this study is to determine the impact of US-China trade tensions on sector indices in Turkey's stock markets as a developing economy.
📊
Key Findings & Data:In the study's data set, the dependent variables selected to represent the Turkish stock markets and sector indices are the BIST100, Services, Financial, Industrial, and Technology indices.
💡
Conclusion & Impact:The analysis results show that the UCT index has an impact on both the BIST100 and the Services, Financial, Industrial, and Technology indices.
🔬Design:Research Article
📍Scope:2024 Verileri
⚙️Variables:US-China Tension Index (UCT) · Borsa Istanbul Sector Indices · Fourier Toda-Yamamoto

Abstract

The purpose of this study is to determine the impact of US-China trade tensions on sector indices in Turkey's stock markets as a developing economy. In the study's data set, the dependent variables selected to represent the Turkish stock markets and sector indices are the BIST100, Services, Financial, Industrial, and Technology indices. The independent variable is the US-China Tension Index (UCT) created by Rogers et al. (2024) to represent US-China tensions. The study covers the period from June 2000 to February 2024. In the analysis, the impact of the US-China Tension Index (UCT) on the BIST100 and sector indices was measured using the Fourier Toda-Yamamoto (2016) Causality Test, which takes structural breaks into account. To increase the reliability of the causality test results, the stationarity levels of the variables were measured using traditional unit root tests as well as new generation unit root tests, which are more powerful. The analysis used the traditional ADF unit root test, the FADF unit root test that takes structural breaks into account, and the Fourier-Sollis (2018) unit root test that considers both structural breaks and linear non-stationarity. The analysis results show that the UCT index has an impact on both the BIST100 and the Services, Financial, Industrial, and Technology indices. This result can be seen as a sign of how sensitive the Turkish stock market is to global geopolitical tensions.

Özet

Bu çalışmanın amacı, ABD ve Çin ticari geriliminin gelişmekte olan bir ekonomi olarak Türkiye’nin hisse senedi piyasalarındaki sektör endekslerine etkisini belirlemektir. Veri setinde, Türkiye hisse senedi piyasaları ve sektör endekslerini temsilen BIST100, Hizmet, Mali, Sınai ve Teknoloji endeksleri bağımlı değişkenler olarak seçilmiş. Bağımsız değişken ise ABD-Çin gerilimini temsilen Rogers vd. (2024) tarafından oluşturulan ABD-Çin Gerilim Endeksi’dir (UCT). Çalışmanın zaman aralığı Haziran 2000-Şubat 2024 dönemini kapsamaktadır. Analizde ABD-Çin Gerilim Endeksi’nin BIST100 ve sektör endekslerine etkisi yapısal kırılmaları dikkate alan Fourier Toda-Yamamoto (2016) Nedensellik Testi ile ölçülmüştür. Nedensellik testi sonuçlarının güvenilirliğini artırmak amacıyla, değişkenlerin durağanlık düzeyleri geleneksel birim kök testi yanında daha güçlü oldukları kabul edilen geliştirilmiş yeni nesil birim kök testleri ile ölçülmüştür. Analizde geleneksel ADF birim kök testi, yapısal kırılmaları dikkate alan FADF birim kök testi ve ayrıca hem yapısal kırılmaları hem de doğrusal dışılığı birlikte dikkate alan Fourier-Sollis (2018) birim kök testi kullanılmıştır. Analiz sonuçlarında UCT endeksinin BIST100 ve Hizmet, Mali, Sınai ve Teknoloji endekslerine doğru etkisi olduğu tespit edilmiştir. Bu sonuç küresel jeopolitik gerilimin Türkiye hisse senedi piyasasındaki bütünsel duyarlılığın göstergesi olarak kabul edilebilir.

🔖

Cite This Article

Küçükçaylı, F. M. (2026). The Impact of US-China Tensions on Borsa Istanbul Sector Indices: The Fourier Toda–Yamamoto Causality Approach. Fiscaoeconomia, Volume: 10 Issue: 1. https://doi.org/10.25295/fsecon.1766854

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (31)

  1. Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. The Quarterly Journal of Economics, 131(4), 1593-1636.
  2. Becker, R., Enders, W., & Lee, J. (2006). A stationarity test in the presence of an unknown number of smooth breaks. Journal of Time Series Analysis, 27(3), 381-409.
  3. Cai, Y., Chang, H. W., & Chang, T. (2023). Evaluating time-varying Granger causality between US-China political relation changes and China stock market. Finance Research Letters, 55, 103918.
  4. Chen, Y., & Pantelous, A. A. (2022). The US-China trade conflict impacts on the Chinese and US stock markets: A network-based approach. Finance Research Letters, 46, 102486.
  5. Chengying, H., Rui, C., & Ying, L. (2022). US-China trade war and China’s stock market: an event-driven analysis. Economic research-Ekonomska istraživanja, 35(1), 3277-3290.
  6. Christopoulos, D. K., & Leon-Ledesma, M. A. (2010). Smooth breaks and non-linear mean reversion: Post-bretton woods real exchange rates. Journal of International Money and Finance, 29, 1076-1093.
  7. De Nicola, F., Kessler, M., & Nguyen, H. (2020). The financial costs of the United States-China trade tensions: Evidence from East Asian stock markets. Review of World Economics, 156(4), 803-833.
  8. Dünya Ekonomik Forumu. https://www.weforum.org/stories/2025/06/us-china-deal-and-other-international-trade-stories-to-know-this-month/ (13.08.2025)
  9. Egger, P. H., & Zhu, J. (2020). The US–Chinese trade war: An event study of stock-market responses. Economic Policy, 35(103), 519-559.
  10. Gülcan, N., Boyacıoğlu, N., & Höl, A. Ö. (2024). Finansal piyasalarda stres etkisi: Sektör pay senetleri üzerine bir uygulama. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (61), 257-268.
  11. Hepsağ, A. (2021). Critical values for FADF and FKSS unit root tests (model with a constant and a linear trend). https://www.researchgate.net/publication/352750116_Critical_Values_for_FADF_and_FKSS_Unit_Root_Tests_Model_with_a_constant_and_a_linear_trend,file:///C:/Users/Acer/Desktop/ABD%20%C3%87%C4%B0N%20ENDEKS/L%C4%B0terat%C3%BCr/AYCAN%20hoca%202021.pdf (01.08.2024)
  12. Hepsağ, A. (2022). Ekonometrik zaman serileri analizlerinde güncel yöntemler (WinRats Uygulamalı) (1. Basım). Der Yayınları: İstanbul.
  13. Hoque, M. E., Soo-Wah, L., Uddin, M. A., & Rahman, A. (2023). International trade policy uncertainty spillover on stock market: Evidence from fragile five economies. The Journal of International Trade & Economic Development, 32(1), 104-131.
  14. ABD-Çin Gerilim Endeksi. https://www.policyuncertainty.com/US_China_Tension.html (01.08.2025)
  15. Li, S., & Liu, Y. (2025). Geopolitical risk and US stock market volatility: evidence from the US–China Tension Index. Applied Economics Letters, 1-7.
  16. Matyakubova, A., Makhmudov, S., Ozturk, I., Kurbonov, K., Ismailov, F., Yokubboeva, S., & Urozov, A. (2025). Responses of economic policy uncertainty, financial stress and energy-related uncertainty to the shocks in US-China tension in US. International Journal of Energy Economics and Policy, 15(4), 701.
  17. Nazlioglu, S., Gormus, A., & Soytas, U. (2016). Oil prices and real estate ınvestment trusts (REİTs): Gradual-shift causality and volatility transmission analysis. Energy Economics, 60, 168-175.
  18. Nishimura, Y., & Sun, B. (2021). President’s Tweets, US-China economic conflict and stock market volatility: Evidence from China and G5 countries. The North American Journal of Economics and Finance, 58, 101506.
  19. Ogundu, P. G. (2025). Economic policies, financial markets, and global currency dynamics shaped by US trade tensions. Int J Res Publ Rev, 6(1), 4819-31.
  20. Öztürk, S., & Altınöz, B. (2019). The effect of US-China trade wars on Shanghai stock exchange composite index. Afyon Kocatepe Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 21(1), 59-69.
  21. Peng, C., Deng, H., Xie, J., & Liu, X. (2025). US-China tension and stock market performance in US and China: New ınsights from time-varying quantile causality method. Finance Research Letters, 107888.
  22. Pozovna, I., Duranowski, W., Pankiv, O., Kalenyuk, I., & Fomenko, S. (2025). Transformation of stock market threats into ınvestment opportunities: modelling the dependence of the Indian and Vietnamese stock markets on the US–China trade war. Financial Markets, Institutions and Risks, 9(2), 90-111.
  23. Ranjbar, O., Chang, T., Elmi, Z., & Lee, C. C. (2018). A new unit root test against asymmetric ESTAR nonlinearity with smooth breaks. Iranian Economic Review, 22(1), 51-62.
  24. Rogers, J. H., Sun, B., & Sun, T. (2024). US-China tension. Available at SSRN 4815838.
  25. Şeyranlıoğlu, O. (2025). The ımpact of US-China tensions on Borsa Istanbul stock market: Evidence from ARDL approach. Politik Ekonomik Kuram, 9(2), 783-804.
  26. Tam, P. S. (2020). Global impacts of China–US trade tensions. The Journal of International Trade & Economic Development, 29(5), 510-545.
  27. Türkiye Cumhuriyet Merkez Bankası Veri Dağıtım Sistemi. https://evds2.tcmb.gov.tr/index.php?/evds/serieMarket/#collapse_2 (01.08.2025)
  28. US-China Tension Index, Rogers, Sun & Sun. (2024). https://www.policyuncertainty.com/media/UCT.pdf (01.08.2025)
  29. Wengerek, S. T., Uhde, A., & Hippert, B. (2025). Share price reactions to tariff imposition announcements during the first Trump administration. Finance Research Letters, 107381.
  30. Yang, T. (2025). Volatility characteristics of stock markets during the US-China Trade War. International Review of Economics & Finance, 104335.
  31. Yüce Akıncı, G., Akıncı, M., & Yılmaz, Ö. (2025). TR33 bölgesinin gelir, yoksulluk ve gelir eşitsizliği mutlak yakınsaması üzerine Fourier durağanlık testleri ile bir inceleme. KOCATEPEİİBFD, 27(Özel Sayı), 120-139. https://doi.org/10.33707/akuiibfd.1593779.