Araştırma Makalesi
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BRENT PETROL FİYATLARI VE BIST SÜRDÜRÜLEBİLİRLİK ENDEKSİ ARASINDAKİ RİSK VE DİNAMİK BAĞLANTILILIK ANALİZİ

Yıl 2025, Cilt: 4 Sayı: 2, 233 - 249, 11.12.2025
https://doi.org/10.70756/anameud.1788575
https://izlik.org/JA87YT39FB

Öz

Bu çalışmada Brent Petrol fiyatları ile Borsa İstanbul Sürdürülebilirlik Endeksi arasındaki risk ve dinamik bağlantılılığı incelenmektedir. Enerji fiyatlarındaki dalgalanmalar, makroekonomik dengelerden yatırımcı davranışlarına kadar geniş alanda etkiler yaratırken, sürdürülebilirlik endeksleri çevresel, sosyal ve yönetişim (ESG) kriterlerini temel alarak uzun vadeli risk-getiri perspektifinde önem kazanmaktadır. Çalışmada, zamanla değişen parametreli vektör otoregresyon (TVP-VAR) modeli kullanılarak Gabauer ve Yılmaz’ın geliştirdiği dinamik bağlantısallık (dynamic connectedness) yöntemi analizde kullanılmıştır. Analizler sonucunda hem yönlü hem de büyüklük açısından risk bulaşmalarının zamana göre değişen yapısı ayrıntılı biçimde ortaya konulmaktadır. Brent petrol fiyatları ile BIST Sürdürülebilirlik Endeksi arasındaki etkileşimlerin kriz dönemlerinde güçlendiği, enerji fiyat şoklarının sürdürülebilir yatırımlar üzerindeki risk aktarım kanallarını belirginleştirdiği gözlemlenmiştir. Elde edilen bulgular, portföy çeşitlendirme, risk yönetimi ve sürdürülebilir finans stratejileri bakımından önemli çıkarımlar sunmaktadır.

Kaynakça

  • Akhtaruzzaman, M., Boubaker, S., & Sensoy, A. (2021). COVID-19 media coverage and ESG leader indices. Finance Research Letters, 42, 101955. https://doi.org/10.1016/j.frl.2021.102170
  • Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregressions. Journal of Risk and Financial Management, 13(4), 84. doi:10.3390/jrfm13040084
  • Basher, S. A., Haug, A. A., & Sadorsky, P. (2012). Oil prices, exchange rates and emerging stock markets. Energy Economics, 34(1), 227–240. doi:10.1016/j.eneco.2011.10.005
  • Bouri, E., Cepni, O., Gabauer, D., & Gupta, R. (2021). Return connectedness across asset classes around the COVID-19 outbreak. International Review of Financial Analysis, 73, 101646. doi:10.1016/j.irfa.2020.101646
  • Broadstock, D. C., Chan, K., Cheng, L. T. W., & Wang, X. (2021). The role of ESG performance during times of financial crisis: Evidence from COVID-19 in China. Finance Research Letters, 38, 101716. doi:10.1016/j.frl.2020.101716
  • Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57–66. doi:10.1016/j.ijforecast.2011.02.006
  • Elyasiani, E., Mansur, I., & Odusami, B. (2011). Oil price shocks and industry stock returns. Energy Economics, 33(5), 966–974. doi:10.1016/j.eneco.2011.03.013
  • Flammer, C. (2021). Corporate green bonds. Journal of Financial Economics, 142(2), 499–516. doi:10.1016/j.jfineco.2021.01.010
  • Friede, G., Busch, T., & Bassen, A. (2015). ESG and financial performance: Aggregated evidence from more than 2000 empirical studies. Journal of Sustainable Finance & Investment, 5(4), 210–233. doi:10.1080/20430795.2015.1118917
  • Geng, J., Ji Q., Liu, C., & Zhang, D. (2021). Do oil prices really matter for clean energy returns? Renewable and Sustainable Energy Reviews, 150(3), 111429. doi:10.1016/j.rser.2021.111429
  • Hamilton, J. D. (1983). Oil and the macroeconomy since World War II. Journal of Political Economy, 91(2), 228–248. doi:10.1086/261140
  • Henriques, I., & Sadorsky, P. (2008). Oil prices and the stock prices of alternative energy companies. Energy Economics, 30(3), 998–1010. doi:10.1016/j.eneco.2007.11.001
  • Huang, J., Baifan, C, Xu, Y., & Xia, X (2022). Time-Frequency Volatility Transmission Among Energy Commodities and Financial Markets during the COVID-19 Pandemic: A novel TVP-VAR frequency connectedness approach: Evidence from energy and financial markets. Energy Reports, 9, 1162–1173. doi:10.2139/ssrn.4247031
  • Jones, C. M., & Kaul, G. (1996). Oil and the stock markets. Journal of Finance, 51(2), 463–491. doi:10.2307/2329368
  • Kilian, L. (2009). Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market. American Economic Review, 99(3), 1053–1069. doi:10.1257/aer.99.3.1053
  • Koop, G., & Korobilis, D. (2010). Bayesian multivariate time series methods for empirical macroeconomics. Foundations and Trends in Econometrics, 3(4), 267–358. doi:10.1561/0800000013
  • Pham, L. (2016). Is it risky to go green? A volatility analysis of the green bond market. Journal of Sustainable Finance & Investment, 6(4), 263–291. doi:10.1080/20430795.2016.1237244
  • Reboredo, J. C. (2015). Is there dependence and systemic risk between oil and renewable energy stock prices? Energy Economics, 48, 32–45. doi:10.1016/j.eneco.2014.12.009
  • Reboredo, J. C., Rivera-Castro, M. A., & Ugolini, A. (2017). Downside and upside risk spillovers between oil and renewable energy stocks. Energy Economics, 62, 399–411. doi:10.1016/j.jbankfin.2015.10.011
  • Rehman, A., Ma, H., Ozturk, I., & Ulucak, R. (2022). Sustainable development and pollution: the effects of CO2 emission on population growth, food production, economic development, and energy consumption in Pakistan. Environmental Science and Pollution Research, 29(12), 17319-17330. doi:10.1007/s11356-021-16998-2
  • Sadorsky, P. (1999). Oil price shocks and stock market activity. Energy Economics, 21(5), 449–469. doi:10.1016/S0140-9883(99)00020-1
  • Sim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking & Finance, 55, 1–8. doi:10.1016/j.jbankfin.2015.01.013
  • Statman, M. (2006). Socially responsible indexes. Journal of Portfolio Management, 32(3), 100–109. doi:10.3905/jpm.2006.628411
  • Umar, Z., & Gubareva, M. (2021). Impact of the COVID-19 induced panic on the ESG leaders equity volatility: A time-frequency analysis. Finance Research Letters, 43, 101991. doi:10.1016/j.ribaf.2021.101493

DYNAMIC CONNECTEDNESS AND RISK SPILLOVERS BETWEEN BRENT OIL PRICES AND THE BIST-100 SUSTAINABILITY INDEX

Yıl 2025, Cilt: 4 Sayı: 2, 233 - 249, 11.12.2025
https://doi.org/10.70756/anameud.1788575
https://izlik.org/JA87YT39FB

Öz

This study examines the risk and dynamic connectedness between Brent crude oil prices and the Borsa Istanbul (BIST) Sustainability Index. While fluctuations in energy prices create wide-ranging effects from macroeconomic balances to investor behavior, sustainability indices—grounded in environmental, social, and governance (ESG) criteria—have become increasingly significant within the long-term risk–return framework. The analysis employs the time-varying parameter vector autoregression (TVP-VAR) model, incorporating the dynamic connectedness approach developed by Gabauer and Yilmaz. The findings reveal in detail the time-varying structure of risk spillovers in terms of both direction and magnitude. The results indicate that the interactions between Brent oil prices and the BIST Sustainability Index intensify during periods of crisis, with oil price shocks amplifying risk transmission channels to sustainable investments. These outcomes provide important implications to portfolio diversification, risk management, and sustainable finance strategies.

Kaynakça

  • Akhtaruzzaman, M., Boubaker, S., & Sensoy, A. (2021). COVID-19 media coverage and ESG leader indices. Finance Research Letters, 42, 101955. https://doi.org/10.1016/j.frl.2021.102170
  • Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregressions. Journal of Risk and Financial Management, 13(4), 84. doi:10.3390/jrfm13040084
  • Basher, S. A., Haug, A. A., & Sadorsky, P. (2012). Oil prices, exchange rates and emerging stock markets. Energy Economics, 34(1), 227–240. doi:10.1016/j.eneco.2011.10.005
  • Bouri, E., Cepni, O., Gabauer, D., & Gupta, R. (2021). Return connectedness across asset classes around the COVID-19 outbreak. International Review of Financial Analysis, 73, 101646. doi:10.1016/j.irfa.2020.101646
  • Broadstock, D. C., Chan, K., Cheng, L. T. W., & Wang, X. (2021). The role of ESG performance during times of financial crisis: Evidence from COVID-19 in China. Finance Research Letters, 38, 101716. doi:10.1016/j.frl.2020.101716
  • Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecasting, 28(1), 57–66. doi:10.1016/j.ijforecast.2011.02.006
  • Elyasiani, E., Mansur, I., & Odusami, B. (2011). Oil price shocks and industry stock returns. Energy Economics, 33(5), 966–974. doi:10.1016/j.eneco.2011.03.013
  • Flammer, C. (2021). Corporate green bonds. Journal of Financial Economics, 142(2), 499–516. doi:10.1016/j.jfineco.2021.01.010
  • Friede, G., Busch, T., & Bassen, A. (2015). ESG and financial performance: Aggregated evidence from more than 2000 empirical studies. Journal of Sustainable Finance & Investment, 5(4), 210–233. doi:10.1080/20430795.2015.1118917
  • Geng, J., Ji Q., Liu, C., & Zhang, D. (2021). Do oil prices really matter for clean energy returns? Renewable and Sustainable Energy Reviews, 150(3), 111429. doi:10.1016/j.rser.2021.111429
  • Hamilton, J. D. (1983). Oil and the macroeconomy since World War II. Journal of Political Economy, 91(2), 228–248. doi:10.1086/261140
  • Henriques, I., & Sadorsky, P. (2008). Oil prices and the stock prices of alternative energy companies. Energy Economics, 30(3), 998–1010. doi:10.1016/j.eneco.2007.11.001
  • Huang, J., Baifan, C, Xu, Y., & Xia, X (2022). Time-Frequency Volatility Transmission Among Energy Commodities and Financial Markets during the COVID-19 Pandemic: A novel TVP-VAR frequency connectedness approach: Evidence from energy and financial markets. Energy Reports, 9, 1162–1173. doi:10.2139/ssrn.4247031
  • Jones, C. M., & Kaul, G. (1996). Oil and the stock markets. Journal of Finance, 51(2), 463–491. doi:10.2307/2329368
  • Kilian, L. (2009). Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market. American Economic Review, 99(3), 1053–1069. doi:10.1257/aer.99.3.1053
  • Koop, G., & Korobilis, D. (2010). Bayesian multivariate time series methods for empirical macroeconomics. Foundations and Trends in Econometrics, 3(4), 267–358. doi:10.1561/0800000013
  • Pham, L. (2016). Is it risky to go green? A volatility analysis of the green bond market. Journal of Sustainable Finance & Investment, 6(4), 263–291. doi:10.1080/20430795.2016.1237244
  • Reboredo, J. C. (2015). Is there dependence and systemic risk between oil and renewable energy stock prices? Energy Economics, 48, 32–45. doi:10.1016/j.eneco.2014.12.009
  • Reboredo, J. C., Rivera-Castro, M. A., & Ugolini, A. (2017). Downside and upside risk spillovers between oil and renewable energy stocks. Energy Economics, 62, 399–411. doi:10.1016/j.jbankfin.2015.10.011
  • Rehman, A., Ma, H., Ozturk, I., & Ulucak, R. (2022). Sustainable development and pollution: the effects of CO2 emission on population growth, food production, economic development, and energy consumption in Pakistan. Environmental Science and Pollution Research, 29(12), 17319-17330. doi:10.1007/s11356-021-16998-2
  • Sadorsky, P. (1999). Oil price shocks and stock market activity. Energy Economics, 21(5), 449–469. doi:10.1016/S0140-9883(99)00020-1
  • Sim, N., & Zhou, H. (2015). Oil prices, US stock return, and the dependence between their quantiles. Journal of Banking & Finance, 55, 1–8. doi:10.1016/j.jbankfin.2015.01.013
  • Statman, M. (2006). Socially responsible indexes. Journal of Portfolio Management, 32(3), 100–109. doi:10.3905/jpm.2006.628411
  • Umar, Z., & Gubareva, M. (2021). Impact of the COVID-19 induced panic on the ESG leaders equity volatility: A time-frequency analysis. Finance Research Letters, 43, 101991. doi:10.1016/j.ribaf.2021.101493
Toplam 24 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Uluslararası Finans
Bölüm Araştırma Makalesi
Yazarlar

Muhammed Mert Aykut 0000-0002-3456-5013

Gönderilme Tarihi 21 Eylül 2025
Kabul Tarihi 14 Ekim 2025
Yayımlanma Tarihi 11 Aralık 2025
DOI https://doi.org/10.70756/anameud.1788575
IZ https://izlik.org/JA87YT39FB
Yayımlandığı Sayı Yıl 2025 Cilt: 4 Sayı: 2

Kaynak Göster

APA Aykut, M. M. (2025). BRENT PETROL FİYATLARI VE BIST SÜRDÜRÜLEBİLİRLİK ENDEKSİ ARASINDAKİ RİSK VE DİNAMİK BAĞLANTILILIK ANALİZİ. Anadolu Üniversitesi Mesleki Eğitim ve Uygulama Dergisi, 4(2), 233-249. https://doi.org/10.70756/anameud.1788575
AMA 1.Aykut MM. BRENT PETROL FİYATLARI VE BIST SÜRDÜRÜLEBİLİRLİK ENDEKSİ ARASINDAKİ RİSK VE DİNAMİK BAĞLANTILILIK ANALİZİ. ANAMEUD. 2025;4(2):233-249. doi:10.70756/anameud.1788575
Chicago Aykut, Muhammed Mert. 2025. “BRENT PETROL FİYATLARI VE BIST SÜRDÜRÜLEBİLİRLİK ENDEKSİ ARASINDAKİ RİSK VE DİNAMİK BAĞLANTILILIK ANALİZİ”. Anadolu Üniversitesi Mesleki Eğitim ve Uygulama Dergisi 4 (2): 233-49. https://doi.org/10.70756/anameud.1788575.
EndNote Aykut MM (01 Aralık 2025) BRENT PETROL FİYATLARI VE BIST SÜRDÜRÜLEBİLİRLİK ENDEKSİ ARASINDAKİ RİSK VE DİNAMİK BAĞLANTILILIK ANALİZİ. Anadolu Üniversitesi Mesleki Eğitim ve Uygulama Dergisi 4 2 233–249.
IEEE [1]M. M. Aykut, “BRENT PETROL FİYATLARI VE BIST SÜRDÜRÜLEBİLİRLİK ENDEKSİ ARASINDAKİ RİSK VE DİNAMİK BAĞLANTILILIK ANALİZİ”, ANAMEUD, c. 4, sy 2, ss. 233–249, Ara. 2025, doi: 10.70756/anameud.1788575.
ISNAD Aykut, Muhammed Mert. “BRENT PETROL FİYATLARI VE BIST SÜRDÜRÜLEBİLİRLİK ENDEKSİ ARASINDAKİ RİSK VE DİNAMİK BAĞLANTILILIK ANALİZİ”. Anadolu Üniversitesi Mesleki Eğitim ve Uygulama Dergisi 4/2 (01 Aralık 2025): 233-249. https://doi.org/10.70756/anameud.1788575.
JAMA 1.Aykut MM. BRENT PETROL FİYATLARI VE BIST SÜRDÜRÜLEBİLİRLİK ENDEKSİ ARASINDAKİ RİSK VE DİNAMİK BAĞLANTILILIK ANALİZİ. ANAMEUD. 2025;4:233–249.
MLA Aykut, Muhammed Mert. “BRENT PETROL FİYATLARI VE BIST SÜRDÜRÜLEBİLİRLİK ENDEKSİ ARASINDAKİ RİSK VE DİNAMİK BAĞLANTILILIK ANALİZİ”. Anadolu Üniversitesi Mesleki Eğitim ve Uygulama Dergisi, c. 4, sy 2, Aralık 2025, ss. 233-49, doi:10.70756/anameud.1788575.
Vancouver 1.Muhammed Mert Aykut. BRENT PETROL FİYATLARI VE BIST SÜRDÜRÜLEBİLİRLİK ENDEKSİ ARASINDAKİ RİSK VE DİNAMİK BAĞLANTILILIK ANALİZİ. ANAMEUD. 01 Aralık 2025;4(2):233-49. doi:10.70756/anameud.1788575

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