Journals / Business and Management Studies: An International Journal / 2019 / Cilt: 7 - Sayı: 5

ASYMMETRIC CAUSALITY TEST IN MEAN AND IN VARIANCE OF EXCHANGE RATE AND OIL PRICES

DÖVİZ KURU VE PETROL FİYATLARI ARASINDAKİ İLİŞKİNİN ORTALAMADA VE VARYANSTA NEDENSELLİK TESTİ İLE ANALİZİ

Pages
2112–2123
DOI
—
🏛️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)

Thus, it is concluded that the oil price and Euro/dollar exchange rate move asymmetrically opposite direction.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the causality relationship between Euro / Dollar exchange rate and oil prices was analyzed by causality tests on average and variance.
📊
Key Findings & Data:According to the Toda-Yamamoto causality test based on Bootstrap developed by Hacker-Hatemi-J (2006), there is no linear causality between exchange rate and oil price.
💡
Conclusion & Impact:Thus, it is concluded that the oil price and Euro/dollar exchange rate move asymmetrically opposite direction.
🔬Design:Research Article
📍Scope:2006 Verileri
⚙️Variables:Domain Parameters

Abstract

In this study, the causality relationship between Euro / Dollar exchange rate and oil prices was analyzed by causality tests on average and variance. According to the Toda-Yamamoto causality test based on Bootstrap developed by Hacker-Hatemi-J (2006), there is no linear causality between exchange rate and oil price. According to the Hatemi-J (2012) asymmetric causality test findings, causality was determined from negative shocks in oil prices to positive shocks in exchange rates, and from positive shocks in exchange rate to negative shocks in oil prices. Thus, it is concluded that the oil price and Euro/dollar exchange rate move asymmetrically opposite direction. The Hafner-Herwartz variance causality test findings, which examine the causality between exchange rate variance and oil price variance, point to causality from volatility in oil price to volatility in Euro / Dollar exchange rate.

Özet

Bu çalışmada, Euro/Dolar kuru ile petrol fiyatları arasındaki nedensellik ilişkisi ortalamada ve varyansta nedensellik testleri ile analiz edilmiştir. Hacker-Hatemi-J (2006) tarafından geliştirilen Bootstrap temelli Toda- Yamamoto nedensellik testine göre döviz kuru ile petrol fiyatı arasında doğrusal bir nedensellik ilişkisi mevcut değildir. Hatemi-J (2012) tarafından geliştirilen asimetrik nedensellik test bulgularına göre ise petrol fiyatındaki negatif şoklardan döviz kurundaki pozitif şoklara doğru ve döviz kurundaki pozitif şoklardan petrol fiyatındaki negatif şoklara doğru nedensellik tespit edilmiştir. Böylece petrol fiyatı ve Euro/Dolar kurunun asimetrik olarak zıt yönlü hareket ettiği sonucuna varılmıştır. Döviz kuru varyansı ile petrol fiyatı varyansı arasındaki nedenselliğin incelendiği Hafner-Herwartz varyans nedensellik test bulguları ise petrol fiyatındaki volatiliteden Euro/Dolar kurundaki volatiliteye doğru nedenselliğe işaret etmektedir.

🔖

Cite This Article

BAYRAMOĞLU, M., BAYRAMOĞLU, A., ERGÜN, M. (2019). ASYMMETRIC CAUSALITY TEST IN MEAN AND IN VARIANCE OF EXCHANGE RATE AND OIL PRICES. Business and Management Studies: An International Journal, Cilt: 7 - Sayı: 5, 2112–2123. https://ajindex.com/articles/151673

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. Adıgüzel, U., Kayhan, S., & Bayat, T. (2016). Petrol Fiyatları ve Döviz Kuru Arasındaki İlişkinin Ampirik Analizi: Asimetrik Nedensellik Analizi. Cumhuriyet Üniversitesi İktisadi ve İdari Bilimler Dergisi, 17(2), 241-252. BIS (Bank for International Settlements) (2019). Triennial Centrel Bank Survey – Foreign Exchange turnover in April 2019. Monetary and Economic Department, https://www.bis.org/statistics/rpfx19_fx.pdf, (Erişim Tarihi: 25.09.2019).
  2. Brahmasrene, T., Huang, J. C., & Sissoko, Y. (2014). Crude oil prices and exchange rates: Causality, variance decomposition and impulse response. Energy Economics, 44, 407-412.
  3. Buberkoku, O. (2017). ABD Dolarının Emtia Fiyatları Üzerindeki Etkisinin İncelenmesi. Ege Academic Review, 17(3), 323-336.
  4. Cheng, T. Y., Weng, Y. C., & Syu, S. M. (2015). The asymmetric causal relationship research of electricity price, exchange rate and oil price-takes Taiwan area as an example. Journal of Statistics and Management Systems, 18(5), 463-484.
  5. Dickey, D. A., & Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366a), 427-431.
  6. Granger C. W. J. (1969). Investigatıng Causal Relations By Econometric Models And Cross-Spectral Methods. Econometrica, 37(3),424-438.
  7. Granger, C. W., & Yoon, G. (2002). Hidden cointegration. U of California, Economics Working Paper, (2002- 02). 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.
  8. Hafner, C.M. & Herwartz, H.,“A Lagrange Multiplier Test for Causality in Variance”, Economics Letters. 2006, 93 (1): 137-141.
  9. Hatemi-j, A. (2012). Asymmetric causality tests with an application. Empirical Economics, 43(1), 447-456.
  10. Mo, B., Nie, H., & Jiang, Y. (2018). Dynamic linkages among the gold market, US dollar and crude oil market. Physica A: Statistical Mechanics and its Applications, 491, 984-994.
  11. Pata, U. K. (2018).Türkiye’de Enflasyon, Tasarruf ve Ekonomik Büyüme Arasındaki İlişkilerin Simetrik ve Asimetrik Nedensellik Testleri ile Analizi. Maliye Dergisi, 174, 92-111
  12. Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.
  13. Reboredo, J. C. (2012). Modelling oil price and exchange rate co-movements. Journal of Policy Modeling, 34(3), 419-440.
  14. Tiwari, A. K., Mutascu, M. I., & Albulescu, C. T. (2013). T