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A Time-varying VAR Investigation of the Relationship among Electricity, Fossil Fuel Prices and Exchange Rate in Turkey

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  • Abdurrahman Nazif ÇATIK

    (Ege University Department of Economics, Izmir,TURKEY)

Abstract

This paper investigates the time-varying relationship among electricity, fossil fuel prices and exchange rate in Turkey based on quarterly data for the period 1988Q1 and 2016Q1. The time-varying responses imply that the impact of fossil fuel prices and exchange rate on the electricity prices differs substantially over time. Electricity prices are significantly affected by the change in exchange rate and natural gas and coal prices, though the explanatory power of oil prices in general is found to be minimal and insignificant. The results also indicate that electricity prices have been largely dominated by the fluctuations in the natural gas prices due to the increasing share of natural gas in production of electricity.

Suggested Citation

  • Abdurrahman Nazif ÇATIK, 2020. "A Time-varying VAR Investigation of the Relationship among Electricity, Fossil Fuel Prices and Exchange Rate in Turkey," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 60-77, September.
  • Handle: RePEc:rjr:romjef:v::y:2020:i:3:p:60-77
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    1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    2. Egil Ferkingstad & Anders L{o}land & Mathilde Wilhelmsen, 2011. "Causal modeling and inference for electricity markets," Papers 1110.5429, arXiv.org.
    3. Mohammadi, Hassan, 2009. "Electricity prices and fuel costs: Long-run relations and short-run dynamics," Energy Economics, Elsevier, vol. 31(3), pages 503-509, May.
    4. Ferkingstad, Egil & Løland, Anders & Wilhelmsen, Mathilde, 2011. "Causal modeling and inference for electricity markets," Energy Economics, Elsevier, vol. 33(3), pages 404-412, May.
    5. A. I. McLeod & W. K. Li, 1983. "Diagnostic Checking Arma Time Series Models Using Squared‐Residual Autocorrelations," Journal of Time Series Analysis, Wiley Blackwell, vol. 4(4), pages 269-273, July.
    6. Buhari DOĞAN & Osman DEĞER, 2018. "The Energy Consumption and Economic Growth in the E7 Countries: Cointegration in Panel Data with Structural Breaks," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 63-75, December.
    7. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    8. Altinay, Galip & Karagol, Erdal, 2005. "Electricity consumption and economic growth: Evidence from Turkey," Energy Economics, Elsevier, vol. 27(6), pages 849-856, November.
    9. Toshiaki Watanabe, 2004. "A multi-move sampler for estimating non-Gaussian time series models: Comments on Shephard & Pitt (1997)," Biometrika, Biometrika Trust, vol. 91(1), pages 246-248, March.
    10. Mjelde, James W. & Bessler, David A., 2009. "Market integration among electricity markets and their major fuel source markets," Energy Economics, Elsevier, vol. 31(3), pages 482-491, May.
    11. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    12. Panagiotidis, Theodore & Pelloni, Gianluigi, 2007. "Nonlinearity In The Canadian And U.S. Labor Markets: Univariate And Multivariate Evidence From A Battery Of Tests," Macroeconomic Dynamics, Cambridge University Press, vol. 11(5), pages 613-637, November.
    13. Frank Asche & Petter Osmundsen & Maria Sandsmark, 2006. "The UK Market for Natural Gas, Oil and Electricity: Are the Prices Decoupled?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 27-40.
    14. Erdogdu, Erkan, 2007. "Regulatory reform in Turkish energy industry: An analysis," Energy Policy, Elsevier, vol. 35(2), pages 984-993, February.
    15. Cetin, Tamer & Oguz, Fuat, 2007. "The politics of regulation in the Turkish electricity market," Energy Policy, Elsevier, vol. 35(3), pages 1761-1770, March.
    16. Soytas, Ugur & Sari, Ramazan, 2009. "Energy consumption, economic growth, and carbon emissions: Challenges faced by an EU candidate member," Ecological Economics, Elsevier, vol. 68(6), pages 1667-1675, April.
    17. Nakajima, Tadahiro & Hamori, Shigeyuki, 2013. "Testing causal relationships between wholesale electricity prices and primary energy prices," Energy Policy, Elsevier, vol. 62(C), pages 869-877.
    18. Giorgio E. Primiceri, 2005. "Time Varying Structural Vector Autoregressions and Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(3), pages 821-852.
    19. Moutinho, Victor & Vieira, Joel & Carrizo Moreira, António, 2011. "The crucial relationship among energy commodity prices: Evidence from the Spanish electricity market," Energy Policy, Elsevier, vol. 39(10), pages 5898-5908, October.
    20. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
    21. Muñoz, M. Pilar & Dickey, David A., 2009. "Are electricity prices affected by the US dollar to Euro exchange rate? The Spanish case," Energy Economics, Elsevier, vol. 31(6), pages 857-866, November.
    22. Dias, José G. & Ramos, Sofia B., 2014. "Energy price dynamics in the U.S. market. Insights from a heterogeneous multi-regime framework," Energy, Elsevier, vol. 68(C), pages 327-336.
    23. Corina SAMAN, 2016. "The Impact of the US and Euro Area Financial Systemic Stress to the Romanian Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 170-183, December.
    24. Arisoy, Ibrahim & Ozturk, Ilhan, 2014. "Estimating industrial and residential electricity demand in Turkey: A time varying parameter approach," Energy, Elsevier, vol. 66(C), pages 959-964.
    25. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

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