The role of ESG indices on stock market dynamics from a green finance perspective: An ARDL bounds testing approach for Türkiye
Published 2026-03-25
Keywords
- ESG Stock Indices, ARDL Bounds Testing Approach, MSCI EM SI, XUSRD, Financial Markets
- ESG Hisse Endeksleri, ARDL Sınır Testi Yaklaşımı, MSCI EM SI, XUSRD, Finansal Piyasalar
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Copyright (c) 2026 İlknur Ülkü Armağan

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Abstract
This study emphasises the growing importance of Environmental, Social and Governance (ESG) criteria in both global and national financial markets by analysing the short- and long-run relationships between the MSCI Emerging Markets Select Index (MSCI EM SI), the Borsa İstanbul Sustainability Index (XUSRD) and the Borsa İstanbul 100 Index (XU100). The integration of ESG principles into financial markets has transformed how investors assess risk and return, becoming even more critical following recent global crises such as climate change, geopolitical instabilities and the COVID-19 pandemic. Consequently, both international and national ESG indices have emerged as key indicators supporting the transition to sustainable financial assets, especially for developing economies. This study employs an empirical analysis using the ARDL Bounds Testing Approach with monthly closing data for the selected indices. The findings reveal no significant short- or long-run relationship between the MSCI EM SI and the XU100 Index. Conversely, the results indicate that the XUSRD Index exhibits a statistically significant interaction with the XU100 Index in both the short- and long-run.
References
- Akhtaruzzaman, M.D., Boubaker, S. & Umar, Z. (2022). COVID-19 media coverage and ESG leader indices. Finance Research Letters, 45. https://doi.org/10.1016/j.frl.2021.102170
- Arslan, Z., Erdaş, M. L., & Göçmen Yağcılar, G. (2025). A research on the relationship between ESG performance of companies and systematic risk. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 12(1), 348-362. https://doi.org/10.30798/makuiibf.1600852
- Aykut, M. M. (2025). Dynamic connectedness and risk spillovers between Brent oil prices and the BIST-100 sustainability index. Journal of Anadolu University Vocational Education and Practice, 4(2), 233-249. https://doi.org/10.70756/anameud.1788575
- Başkaya, H. (2025). An analysis of the relationship and causality between the BIST Sustainability Index and other financial indices. Fiscaoeconomia, 9(2), 1003-1021. https://doi.org/10.25295/fsecon.1541942
- Borsa Istanbul. (2025a). Indices. BIST Stock Indices. Benchmark Indices. BIST 100. 01 August 2025, https://www.borsaistanbul.com/en/indices/bist-stock-indices/benchmark-indices
- Borsa Istanbul. (2025b). Indices. BIST Stock Indices. Sustainability. 01 August 2025, https://www.borsaistanbul.com/en/indices/bist-stock-indices/sustainability
- Breusch, T. S., & Godfrey, L. G. (1978). Testing for autocorrelation in dynamic linear models. Econometrica, 46(6), 1287–1296.
- Çakmak, A.O. & Çalış, E. (2024). Sürdürülebilirlik performansının borsa performansına etkisi. Press Academia Procedia, 19(1), 61-74. https://doi.org/10.17261/Pressacademia.2024.1910
- Çetin, F. A., Öztürk, S. & Akarsu, O. N. (2024). The effect of ESG data of companies on financial performance: A panel data analysis on The BIST Sustainability Index. Sosyoekonomi, 32(61), 125-146. https://doi.org/10.17233/sosyoekonomi.2024.03.07
- Dickey, D.A. & Fuller, W.A. (1981). Distribution of the estimators for autoregressive time series with a Unit Root. Econometrica, 49, 1057-1072
- Duran, N. I. (2025). Navigating uncertainty: Dynamic linkages between sustainability indices and ESG-related shocks. Anadolu University Journal of Economics and Administrative Sciences, 26(4), 456-484. https://doi.org/10.53443/anadoluibfd.1705330
- Engle, R.F. & Granger, C. W. J. (1987). Cointegration and Error Correction: Representation, estimation, and testing, Econometrica, 55(2), 251-276. https://doi.org/10.2307/1913236
- Gherghina, S.C., Armeanu, D.S. & Joldes, C.C. (2020). Stock market reactions to COVID-19 pandemic outbreak: Quantitative evidence from ARDL Bounds Tests and Granger Causality analysis. International Journal of Environmental Research And Public Health, 17(18). https://doi.org/10.3390/ijerph17186729
- Gujarati, N.D. (1995). Basic Econometrics. Nobel Yayın Dağıtım.
- Gülcemal, T. (2025). Return connectedness between ESG stock indices and the impact of ESG attention on return connectedness. International Journal of Economics and Administrative Studies, (48), 161-182. https://doi.org/10.18092/ulikidince.1633961.
- Investing.com. (2025). Indices. 01 August 2025, https://tr.investing.com/indices/ise-100.
- Johansen, S. & Juselius, K. (1990) Maximum Likelihood estimation and inference on Cointegration with applications to the demand for money. Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, 52(2), 169-210. http://dx.doi.org/10.1111/j.1468-0084.1990.mp52002003.x
- Karaca, S. S., Koyuncu, T. & Çevik, M. (2021). Analysıs of Borsa Istanbul Financial Index and macroeconomic variables with ARDL Boundary Test. The Journal of Financial Researches and Studies, 13(25), 572-585. https://doi.org/10.14784/marufacd.976614
- Korkmazgöz, Ç., Şahin, S. & Ege, I (2022). The relationship between Bitcoin and Borsa Istanbul Indices: ARDL Bounds Testing approach. The World of Accounting Science, 24(1), 89-108. https://doi.org/10.31460/mbdd.898812
- Morgan Stanley Capital International (2025a). MSCI EM Selection Index. 01 August 2025, https://www.msci.com/indexes/index/703304.
- Morgan Stanley Capital International (2025b). MSCI EM Selection Index. Documents, Index Factsheet (31 July 2025). 01 August 2025, https://www.msci.com/documents/10199/255599/msci-emerging-markets-selection-index-usd-gross.pdf.
- Nkoro, E. & Uko, A.K. (2016) Autoregressive Distributed Lag (ARDL) Cointegration technique: Application and interpretation. Journal of Statistical and Econometric Methods, 5, 63-91.
- Özman, H. (2022). New generation fund type for social responsibilities: Sustainable (ESG) investment funds. Journal of Banking and Capital Markets Research, 6(13), 1-20.
- Pesaran, M. H., Shin, Y. & Smith, R. J. (2001). Bounds Testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289-326.
- Pesaran, M.H., Shin, Y. & Smith, R.P. (1997). Pooled estimation of long run relationships in dynamic Heterogeneous panels. Cambridge Working Papers in Economics 9721, Faculty of Economics, University of Cambridge.
- Pesaran H. & Shin, Y. (1995). An Autoregressive Distributed lag modeling approach to cointegration analysis. Department of Applied Economics, University of Cambridge. https://doi.org/10.1017/CCOL0521633230.011
- Phillips, P.C.B & Perron, P. (1988). Testing for a Unit Root in time series regression. Biometrika, 75(2), 335-346.
- Rubbaniy, G., Khalid, A.A., Rizwan, M.F. & Ali, S. (2022). Are ESG stocks safe-haven during COVID-19? Studies in Economics and Finance, 39(2), 239-255. 10.1108/SEF-08-2021-0320
- Sahabi, A. M. (2023). The impact of sustainability performance on stock returns and volatility: Evidence from Borsa Istanbul. Bingöl University Journal of Social Sciences Institute, 25, 57-70. https://doi.org/10.29029/busbed.1205759
- Shaik, M. & Rehman, M.Z. (2023). The dynamic volatility connectedness of major environmental, social, and governance (ESG) stock indices: Evidence based on DCC-GARCH model. Asia-Pacific Financial Markets, Special Issue, 30(1), 231-246. https://doi.org/10.1007/s10690-022-09393-5
- Sharma, G.D., Sarker, T., Rao, A., Talan, G. & Jain, M. (2022). Revisiting conventional and green finance spillover in post-COVID world: Evidence from robust econometric models. Global Finance Journal, 51. https://doi.org/10.1016/j.gfj.2021.100691
- Tian, H., Long, S.B. & Li, Z.X. (2022). Asymmetric effects of climate policy uncertainty, infectious diseases-related uncertainty, crude oil volatility, and geopolitical risks on green bond prices. Finance Research Letters, 48. https://doi.org/10.1016/j.frl.2022.103008
- Umar, Z., Kenourgios, D. & Papathanasiou, S. (2020). The static and dynamic connectedness of environmental, social, and governance investments: International evidence. Economic Modelling, 93, 112-124. https://doi.org/10.1016/j.econmod.2020.08.007
- Wan, J.R., Yin, L.B. & Wu, Y. (2023). Return and volatility connectedness across global ESG stock indexes: Evidence from the time-frequency domain analysis. Internatıonal Review Of Economics and Finance, 89, Part B, 397-428. https://doi.org/10.1016/j.iref.2023.10.038
- Zhang, W.T., He, X. & Hamori, S. (2022). Volatility spillover and investment strategies among sustainability-related financial indexes: Evidence from the DCC-GARCH-based dynamic connectedness and DCC-GARCH t-copula approach. International Review of Financial Analysis, 83. https://doi.org/10.1016/j.irfa.2022.102223


