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Analysis of the Causality between Airline Price Index and Dollar and Oil Prices

Year 2025, Volume: 11 Issue: 1, 206 - 224, 31.05.2025
https://doi.org/10.30613/curesosc.1581792

Abstract

The Airline Price Index is a stock market index that monitors the stock prices of companies within the airline industry, reflecting the overall value of these airline companies. This index is an important tool for assessing the financial health, economic status, and market performance of the airline industry. This study aims to explore the causal relationships between the Airline Price Index (AIR), the Dollar Index (DXY), and Oil Prices (OIL), thereby contributing to a deeper understanding of the dynamics influencing the airline industry. In this study, a number of different Granger causality tests are employed, including the Granger causality test, the Fourier Toda-Yamamoto causality test, the Fourier Standard Granger causality test, and the Fourier Toda & Yamamoto test, as well as the cumulative frequency test and the Hatemi-J (2012) causality analysis. These are used to examine the causality relationship between AIR, OIL and DXY. The results of the analysis indicate that the expected causality relationship from OIL to AIR is not supported by the entire analysis method. In contrast, the Granger causality test results indicate that there is a unidirectional causal relationship from AIR to OIL and DXY. Furthermore, the results of the Fourier-Toda-Yamamoto and Fourier standard Granger analyses are consistent with one another. Considering these findings, it can be concluded that there is bidirectional causality between DXY and AIR. The findings of the Fourier-Toda & Yamamoto (cumulative frequency) analysis indicate the presence of a causality relationship from AIR to OIL and DXY. These findings are consistent with the results of Granger causality tests.

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Havayolu Fiyat Endeksi ile Dolar ve Petrol Fiyatları Arasındaki Nedensellik Analizi

Year 2025, Volume: 11 Issue: 1, 206 - 224, 31.05.2025
https://doi.org/10.30613/curesosc.1581792

Abstract

Havayolu Fiyat Endeksi, havayolu sektöründeki şirketlerin hisse senedi fiyatlarını izleyen ve bu havayolu şirketlerinin genel değerini yansıtan bir borsa endeksidir. Bu endeks, havayolu endüstrisinin mali sağlığını, ekonomik durumunu ve piyasa performansını değerlendirmek için önemli bir araçtır. Yakıt maliyetleri, havayolları için en önemli operasyonel giderlerden birini temsil eder ve yakıt fiyatları ile havayolu performansı arasında potansiyel bir ilişki olduğunu gösterir. Bu çalışma, Havayolu Fiyat Endeksi (AIR), Dolar Endeksi (DXY) ve Petrol Fiyatları (OIL) arasındaki nedensel ilişkileri araştırmayı ve böylece havayolu endüstrisini etkileyen dinamiklerin daha iyi anlaşılmasına katkıda bulunmayı amaçlamaktadır. Bu çalışmada, Granger nedensellik testi, Fourier Toda-Yamamoto nedensellik testi, Fourier Standart Granger nedensellik testi ve Fourier Toda & Yamamoto testinin yanı sıra kümülatif frekans testi ve Hatemi-J (2012) nedensellik analizi de dahil olmak üzere bir dizi farklı Granger nedensellik testi kullanılmıştır. Bunlar AIR, OIL ve DXY arasındaki nedensellik ilişkisini incelemek için kullanılmıştır. Analiz sonuçları, OIL'den AIR'e doğru beklenen nedensellik ilişkisinin tüm analiz yöntemi tarafından desteklenmediğini göstermektedir. Buna karşın, Granger nedensellik testi sonuçları AIR'den OIL ve DXY'ye doğru tek yönlü bir nedensellik ilişkisi olduğunu göstermektedir. Ayrıca, Fourier-Toda-Yamamoto ve Fourier standart Granger analizlerinin sonuçları birbiriyle tutarlıdır. Bu bulgular göz önünde bulundurulduğunda, DXY ile AIR arasında çift yönlü nedensellik olduğu sonucuna varılabilir. Fourier-Toda & Yamamoto (kümülatif frekans) analizinin bulguları AIR'den OIL ve DXY'ye doğru bir nedensellik ilişkisinin varlığına işaret etmektedir. Bu bulgular Granger nedensellik testlerinin sonuçları ile tutarlıdır.

References

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  • Alıcı, A., & Sevil, G. (2020). Analysis of internal financial factors affecting stock price in airline businesses. The Journal of International Scientific Researches, 5, 28-46.
  • Asadi, M., Pham, S. D., Nguyen, T. T. T., Do, H. X., & Brooks, R. (2023). The nexus between oil and airline stock returns: Does time frequency matter? Energy Economics, 117, 106444.
  • Atems, B. (2021). The response of the US aviation industry to demand and supply shocks in the oil and jet fuel markets. Transportation Research Interdisciplinary Perspectives, 11, 100452.
  • Bagirov, M., & Mateus, C. (2019). Oil prices, stock markets and firm performance: Evidence from Europe. International Review of Economics & Finance, 61, 270-288.
  • Bai, S., & Koong, K. S. (2018). Oil prices, stock returns, and exchange rates: Empirical evidence from China and the United States. The North American Journal of Economics and Finance, 44, 12-33.
  • Bakhsh, R. P., & Khan, B. (2019). Interdependencies of stock index, oil price, gold price and exchange rate: A case study of Pakistan. International Journal of Experiential Learning & Case Studies, 4(2), 316-331.
  • Brooks, C. (2008). Introductory econometrics for finance, (2nd ed.). Cambridge University Press.
  • Büberkökü, Ö., & Şahmaroğlu, S. T. (2016). Beta katsayılarındaki değişimin açıklanmasında işlem hacminin etkisinin incelenmesi: Banka hisselerine dayalı bir analiz. İşletme Bilimi Dergisi, 4(1), 1-28.
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  • Chen, Y., Xu, J., & Miao, J. (2023). Dynamic volatility contagion across the Baltic dry index, iron ore price and crude oil price under the COVID-19: A copula-VAR-BEKK-GARCH-X approach. Resources Policy, 81, 103296.
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  • Coşkun, M., Kiracı, K., & Muhammed, U. (2016). Seçilmiş makroekonomik değişkenlerle hisse senedi fiyatları arasındaki ilişki: Türkiye üzerine ampirik bir inceleme. Finans Politik ve Ekonomik Yorumlar, 53(616), 61-74.
  • Coşkuner, M., & Özer, A. (2024). Döviz kuru ve enflasyonun hisse senedi getirisi üzerindeki etkisi. Balıkesir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 5(1), 15-24.
  • Dar, A. B. (2022). On the sustainable nexus between oil prices and aviation stocks. Sustainable Operations and Computers, 3, 168–175.
  • Das, G. (2023). Impact of exchange rate and crude oil price on Indian stock market. Indian Journal of Finance and Economics. 4(1), 193-203.
  • Demirkale, Ö., & Can, E. N. (2021). Makroekonomik değişkenlerin BIST turizm endeksi üzerindeki etkisinin incelenmesi. Sakarya Üniversitesi İşletme Enstitüsü Dergisi, 3(1), 175–180.
  • Emek, Ö. F. (2024). Examining the relationship between exports and economic growth in Türkiye: Fourier Toda-Yamamoto Granger causality test. Business & Management Studies: An International Journal, 12(2), 287-296.
  • Enders, W., & Jones, P. (2015). Grain prices, oil prices, and multiple smooth breaks in a VAR. Studies in Nonlinear Dynamics & Econometrics, 20(4), 399-419.
  • Felix, S. B., Tuyon, J., Matahir, H., & Ghazali, M. F. (2023). Hedging the oil price risk factor on airline stock returns in the Asia-Pacific: A test of effective hedging instruments. Australasian Accounting, Business and Finance Journal, 17(2), 122-146.
  • Gallant, R. (1981). On the bias in flexible functional forms and an essentially unbiased form. Journal of Econometrics, 15(2), 211–245.
  • Gazel, S. (2016). Cointegration and causality between BIST 100 index and gold price. International Journal of Business and Management, 5, 337-344.
  • Goh, C. F., & Rasli, A. (2014). Stock investors’ confidence on low-cost and traditional airlines in Asia during Financial Crisis of 2007–2009. Procedia-Social and Behavioral Sciences, 129, 31-38.
  • Gormus, A., Nazlioglu, S., & Soytas, U. (2018). High-yield bond and energy markets. Energy Economics, 69, 101-110.
  • Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 37(3), 424-438.
  • Guliyev, H. (2022). The effect of global financial markets and local shocks on Turkey airlines market; new evidence from structural break cointegration and causality tests. Research in Globalization, 5, 100096.
  • Hatemi-J, A. (2012). Asymmetric causality tests with an application. Empirical Economics, 43, 447-456.
  • Hawiwika, L., Andam, D., & Syarif, M. M. (2022). Studies causality analysis of the Brent oil prices, the gold prices and the exchange rates (USD/IDR) on Indonesia composite index. Journal of Economics, Finance and Management Studies, 5, 730-737.
  • Horobet, A., Zlatea, M. L. E., Belascu, L., & Dumitrescu, D. G. (2022). Oil price volatility and airlines’ stock returns: Evidence from the global aviation industry. Journal of Business Economics and Management, 23(2), 284–304.
  • Hoş, Y. İ., & Özbek, Ö. (2022). Brent petrol ve havayolu şirketleri arasındaki oynaklık yayılım etkisinin incelenmesi. Paradoks Ekonomi Sosyoloji ve Politika Dergisi, 18(2), 182-208.
  • International Air Transport Association (IATA). (2020). Airline industry financial outlook 2020: Navigating COVID-19 headwinds. IATA Economics. https://www.iata.org/en/publications/economics/
  • Jain, A., & Biswal, P. C. (2016). Dynamic linkages among oil price, gold price, exchange rate, and stock market in India. Resources Policy, 49, 179–185.
  • Jeon, J. H. (2021). The impact of tourism uncertainty on airline stock markets in Korea: A quantile regression approach. Journal of Business Economics and Management, 22(4), 923–939.
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There are 78 citations in total.

Details

Primary Language English
Subjects Policy and Administration (Other)
Journal Section Research Article
Authors

Kasım Kiracı 0000-0002-2061-171X

Mehmet Yaşar 0000-0001-7237-4069

Ahmet Zelka 0000-0002-1694-1660

Cemile Angay 0000-0002-6481-0251

Early Pub Date May 31, 2025
Publication Date May 31, 2025
Submission Date November 8, 2024
Acceptance Date April 2, 2025
Published in Issue Year 2025 Volume: 11 Issue: 1

Cite

APA Kiracı, K., Yaşar, M., Zelka, A., Angay, C. (2025). Analysis of the Causality between Airline Price Index and Dollar and Oil Prices. Current Research in Social Sciences, 11(1), 206-224. https://doi.org/10.30613/curesosc.1581792