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Petrol Fiyatlarındaki Belirsizlik, Jeopolitik Risk ve BİST GUBRF Arasındaki Etkileşim: Frekans Alanda Zamanla Değişen Bootstrap Nedensellik Testi

Yıl 2025, Sayı: 42, 114 - 128, 25.06.2025
https://doi.org/10.26650/ekoist.2025.42.1607157

Öz

Risk ve belirsizlik, karar vericilerin ve hisse senedi yatırımcılarının karar verme süreçleri üzerinde etkiye sahip olan önemli faktörlerdir. Karar vericiler, ekonomik ve finansal sistemde yüksek risk ve belirsizlik durumunda uzun dönemli planlamalar yapmakta zorlanabilirler. Bu durum, kamu politikalarında ve özel sektör stratejilerinde ihtiyatlı bir yaklaşımın sergilenmesini zorunlu kılmaktadır. Diğer taraftan hisse senedi yatırımcıları ise yüksek risk ve belirsizlik dönemleri boyunca genellikle risk almaktan kaçınan bir tutum sergilemektedirler. Dolayısıyla yatırımcılar, portföylerini tahvil, altın, gümüş ve platin gibi daha güvenli varlıklara yönlendirmektedirler. Bu çalışma, frekans alanda zamanla değişen bootstrap nedensellik testini uygulayarak petrol fiyat belirsizliği endeksi (OPU), jeopolitik risk endeksi (GPR) ve Gübretaş’ın hisse senedi fiyatı (GUBRF) arasında nedensellik ilişkisi olup olmadığını belirlemeyi amaçlamaktadır. Ele alınan Nisan 1998-Temmuz 2024 dönemi için yapılan analizlerde petrol fiyat belirsizliği ve jeopolitik risk endekslerinin seçili hisse senedi fiyatı üzerinde kalıcı bir şekilde istikrarlı olmayan etkiler gösterdiği saptanmıştır. Bulgulara göre jeopolitik risk endeksinden GUBRF’e doğru uzun, petrol fiyatlarındaki belirsizlik endeksinden GUBRF’e doğru ise hem uzun hem kısa dönemli nedensel bağlantıların var olduğu tespit edilmiştir. Sonuç olarak, Gübretaş şirketinin yöneticilerine ve yatırımcılarına çeşitli küresel risk ve belirsizlik unsurları (özellikle enerji sektörünü doğrudan ilgilendiren gelişmeler) karşısında sürekli bir şekilde proaktif bir yaklaşımla hareket etme çabası içinde olmaya çalışmaları önerilmektedir.

JEL Classification : Q10 , Q13 , D81

Kaynakça

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  • Aytekin, Y. E., & Keskin, Ö. (2023). Türkiye’deki gübre tüketim miktarının bitkisel üretim miktarına etkisi üzerine bir araştırma: Ardl sınır testi. OKU Journal of The Institute of Science and Technology, 6(Suppl), 224-233. https://doi.org/10.47495/okufbed.1213944 google scholar
  • Balcılar, M., Bonato, M., Demirer, R., & Gupta, R. (2018). Geopolitical risks and stock market dynamics of the BRICS. Economic Systems, 42(2), 295-306. https://doi.org/10.1016/j.ecosys.2017.05.008 google scholar
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  • Chen, P.-Y., Chang, C.-L., Chen, C.-C., & Mcaleer, M. (2012). Modelling the effects of oil prices on global fertilizer prices and volatility. Journal of Risk and Financial Management, 5, 78-114. google scholar
  • Chidmi, B., Miloș, L. R., & Miloș, M. C. (2024). Navigating uncertainty: Analysing its impact on the fertilizers industry through listed companies. Applied Economics Letters, 31, 1-6. https://doi.org/10.1080/13504851.2024.2386152 google scholar
  • Dmitrieva, D., Ilinova, A., & Kraslawski, A. (2017). Strategic management of the potash industry in Russia. Resources Policy, 52, 81-89. https://doi.org/10.1016/j.resourpol.2016.11.004 google scholar
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  • EPDK. (2024b). Petrol piyasası yıllık sektör raporu listesi-2023 yılı petrol piyasası sektör raporu. https://www.epdk.gov.tr/Detay/Icerik/ 3-0-107/yillik-sektor-raporu, (Erişim Tarihi: 17.11.2024). google scholar
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Interaction between Uncertainty in Oil Prices, Geopolitical Risk, and BIST GUBRF: Time Varying Bootstrap Causality Test in the Frequency Domain

Yıl 2025, Sayı: 42, 114 - 128, 25.06.2025
https://doi.org/10.26650/ekoist.2025.42.1607157

Öz

Risk and uncertainty are critical factors affecting the decision-making processes of policymakers and stock market investors. High levels of risk and uncertainty in economic and financial systems undermine the ability of policymakers to conduct effective long-run planning. This situation necessitates the adoption of prudent strategies in the formulation of public policies and the development of private-sector initiatives. Stock market investors often exhibit risk-averse behaviour during periods of high risk and uncertainty. Therefore, investors allocate their portfolios towards more secure assets such as bonds, gold, silver, and platinum. This study examines the causal relationship between the oil price uncertainty index (OPU), the geopolitical risk index (GPR), and the stock price of Gübretaş (GUBRF) by employing the time-varying bootstrap causality test in the frequency domain. Analyses conducted from April 1998 to July 2024 revealed that oil price uncertainty and geopolitical risk indices exhibited nonpermanently unstable effects on the selected stock price. The findings show a long-run causal connection between the geopolitical risk index and the GUBRF, and causal connections in both long- and short-run between the oil price uncertainty index and the GUBRF. Consequently, it is recommended that Gübretaş’s managers and investors adopt a continuously proactive approach in responding to various global risks and uncertainties (especially developments that directly concern the energy sector).

JEL Classification : Q10 , Q13 , D81

Kaynakça

  • Abiad, A., & Qureshi, I. A. (2023). The macroeconomic effects of oil price uncertainty. Energy Economics, 125, 1-23. https://doi.org/10. 1016/j.eneco.2023.106839 google scholar
  • Aytekin, Y. E., & Keskin, Ö. (2023). Türkiye’deki gübre tüketim miktarının bitkisel üretim miktarına etkisi üzerine bir araştırma: Ardl sınır testi. OKU Journal of The Institute of Science and Technology, 6(Suppl), 224-233. https://doi.org/10.47495/okufbed.1213944 google scholar
  • Balcılar, M., Bonato, M., Demirer, R., & Gupta, R. (2018). Geopolitical risks and stock market dynamics of the BRICS. Economic Systems, 42(2), 295-306. https://doi.org/10.1016/j.ecosys.2017.05.008 google scholar
  • Bilir, H., Kazak, E. Ö., Gerçek, M., Korkmaz, A., & Özcan, B. (2021). Yaş sebze ve meyve sektör incelemesi nihai raporu. https://www. rekabet.gov.tr/Dosya/sektor-raporlari/yas-sebze-ve-meyve-sektor-raporu-nihai-rapor-yayinlanan-revize16-03-22-2022031616170 3231-pdf, (Erişim Tarihi: 15.11.2024). google scholar
  • Breitung, J., & Candelon, B. (2006). Testing for short- and long-run causality: A frequency-domain approach. Journal of Econometrics, 132(2), 363-378. https://doi.org/10.1016/j.jeconom.2005.02.004 google scholar
  • Caldara, D., & Iacoviell, M. (2022). Measuring geopolitical risk. American Economic Review, 112(4), 1194-1225. https://doi.org/10.1257/ aer.20191823 google scholar
  • Chen, P.-Y., Chang, C.-L., Chen, C.-C., & Mcaleer, M. (2012). Modelling the effects of oil prices on global fertilizer prices and volatility. Journal of Risk and Financial Management, 5, 78-114. google scholar
  • Chidmi, B., Miloș, L. R., & Miloș, M. C. (2024). Navigating uncertainty: Analysing its impact on the fertilizers industry through listed companies. Applied Economics Letters, 31, 1-6. https://doi.org/10.1080/13504851.2024.2386152 google scholar
  • Dmitrieva, D., Ilinova, A., & Kraslawski, A. (2017). Strategic management of the potash industry in Russia. Resources Policy, 52, 81-89. https://doi.org/10.1016/j.resourpol.2016.11.004 google scholar
  • EPDK. (2024a). Doğal gaz piyasası yıllık sektör raporu listesi-2023 yılı doğal gaz piyasası sektör raporu. https://www.epdk.gov.tr/Detay/ Icerik/3-0-94/dogal-gazyillik-sektor-raporu, (Erişim Tarihi: 17.11.2024). google scholar
  • EPDK. (2024b). Petrol piyasası yıllık sektör raporu listesi-2023 yılı petrol piyasası sektör raporu. https://www.epdk.gov.tr/Detay/Icerik/ 3-0-107/yillik-sektor-raporu, (Erişim Tarihi: 17.11.2024). google scholar
  • Geweke, J. (1982). Measurement of linear dependence and feedback between multiple time series. Journal of the American Statistical Association, 77(378), 304-313. google scholar
  • Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438. google scholar
  • Gübretaş. (2024). Gübretaş-2023 faaliyet raporu. https://www.gubretas.com.tr/uploads/files/pages/faaliyet-raporu-yatay-genis-rev5a_ compressed-898.pdf, (Erişim Tarihi: 19.11.2024). google scholar
  • Hacker, R. S., & Hatemi-J, A. (2006). Tests for causality between integrated variables using asymptotic and bootstrap distributions: Theory and application. Applied Economics, 38(13), 1489-1500. https://doi.org/10.1080/00036840500405763 google scholar
  • Hao, L., & Ki-Seong, L. (2024). The impact of economic policy uncertainty on agricultural prices: Evidence from China. Asia and the Global Economy, 4(2), 1-9. https://doi.org/10.1016/j.aglobe.2024.100100 google scholar
  • Hatemi-J, A. (2012). Asymmetric causality tests with an application. Empirical Economics, 43(1), 447-456. https://doi.org/10.1007/s00181- 011-0484-x google scholar
  • Hoshowsky, R. (2020). The future of fertilizer. https://resourceinfocus.com/2020/08/the-future-of-fertilizer/, (Erişim Tarihi: 16.11.2024). google scholar
  • Hosoya, Y. (1991). The decomposition and measurement of the interdependency between second-order stationary processes. Probability Theory and Related Fields, 88(4), 429-444. google scholar
  • Huang, W. (2009). Factors contributing to the recent increase in U.S. fertilizer prices, 2002-08. https://www.ers.usda.gov/webdocs/ outlooks/35824/10935_ar33.pdf?v=9996, (Erişim Tarihi: 21.11.2024). google scholar
  • Ibendahl, G. (2019). Predicting fertilizer prices. https://agmanager.info/sites/default/files/pdf/2019.4.pdf, (Erişim Tarihi: 21.11.2024). google scholar
  • Ilinova, A., Dmitrieva, D., & Kraslawski, A. (2021). Influence of COVID-19 pandemic on fertilizer companies: The role of competitive advantages. Resources Policy, 71, 1-15. https://doi.org/10.1016/j.resourpol.2021.102019 google scholar
  • Investing. (2024). Gübre fabrikaları T.A.Ş. (GUBRF). https://tr.investing.com/equities/gubre-fabrik.-historical-data, (Erişim Tarihi: 20.11.2024). google scholar
  • Lin, F.-L., Chiang, T. C., & Chen, Y.-F. (2024). Energy price changes and uncertainty factors on sectoral stock returns in the U.S. market. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4953652, (Erişim Tarihi: 22.11.2024). google scholar
  • Liu, S., & Molenaar, P. (2016). Testing for Granger causality in the frequency domain: A phase resampling method. Multivariate Behavioral Research, 51(1), 53-66. https://doi.org/10.1080/00273171.2015.1100528 google scholar
  • Midas. (2024). GUBRF hisse - Gübre fabrikaları T.A.Ş. https://www.getmidas.com/canli-borsa/gubrf-hisse/, (Erişim Tarihi: 20.11.2024). google scholar
  • Mishra, A. K., Valera, H. G. A., Yamano, T., & Pede, V. O. (2024). The Russian invasion of Ukraine, fertilizer prices, and food security: Evidence from rice-producing economies in Asia. https://www.adb.org/publications/russian-invasion-fertilizer-prices-food-security, (Er-işim Tarihi: 19.12.2024). google scholar
  • Motorygin, I. (2024). Fueling the fields: Unraveling the correlation between oil and fertilisers prices. https://www.linkedin.com/pulse/ fueling-fields-unraveling-correlation-between-oil-prices-motorygin-mdmie/, (Erişim Tarihi: 21.11.2024). google scholar
  • Ott, H. (2012). Fertilizer markets and their interplay with commodity and food prices. https://publications.jrc.ec.europa.eu/repository/ handle/JRC73043, (Erişim Tarihi: 21.11.2024). google scholar
  • Özer, M., Kamenković, S., & Grubišić, Z. (2020). Frequency domain causality analysis of intra- and inter-regional return and volatility spillovers of South-East European (SEE) stock markets. Economic Research-Ekonomska Istrazivanja, 33(1), 1-25. https://doi.org/ 10.1080/1331677X.2019.1699138 google scholar
  • Phillips, P. C. B., Shi, S., & Yu, J. (2015). Testing for multiple bubbles: Historical episodes of exuberance and collapse in the S&P 500. International Economic Review, 56(4), 1043-1078. https://doi.org/10.1111/iere.12132 google scholar
  • Şahin, S., & Alaybeyoğlu, T. (2018). Gıda ve enerji fiyatları ile BİST pay endeksleri arasındaki nedensellik ilişkisi. Journal of Business Research, 10(1), 914-926. https://doi.org/10.20491/isarder.2018.403 google scholar
  • Sanyal, P., Malczynski, L. A., & Kaplan, P. (2015). Impact of energy price variability on global fertilizer price: Application of alternative volatility models. Sustainable Agriculture Research, 4(4), 132-147. https://doi.org/10.5539/sar.v4n4p132 google scholar
  • Sj, B., & Babu, S. (2022). The Ukraine war and its food security implications for India. https://cgspace.cgiar.org/server/api/core/ bitstreams/f5fe5957-1fb2-45b2-8203-2111ad8687d0/content, (Erişim Tarihi: 21.11.2024). google scholar
  • Statista. (2024a). Distribution of proved natural gas reserves worldwide in 1960 and 2023, by key country. https://www.statista.com/ statistics/265330/countries-with-the-largest-share-of-global-natural-gas-reserves/, (Erişim Tarihi: 17.11.2024). google scholar
  • Statista. (2024b). Production of natural gas worldwide in 2023, by country. https://www.statista.com/statistics/264101/world-natural- gas-production-by-country/, (Erişim Tarihi: 17.11.2024). google scholar
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Toplam 50 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Zaman Serileri Analizi
Bölüm Araştırma Makalesi
Yazarlar

Ömer Keskin 0000-0002-1939-2791

Gönderilme Tarihi 25 Aralık 2024
Kabul Tarihi 24 Mart 2025
Yayımlanma Tarihi 25 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Sayı: 42

Kaynak Göster

APA Keskin, Ö. (2025). Petrol Fiyatlarındaki Belirsizlik, Jeopolitik Risk ve BİST GUBRF Arasındaki Etkileşim: Frekans Alanda Zamanla Değişen Bootstrap Nedensellik Testi. EKOIST Journal of Econometrics and Statistics(42), 114-128. https://doi.org/10.26650/ekoist.2025.42.1607157