The Effect of Crude Oil Price on the Methanol price

Delavari, Majid and Gandali Alikhani, Nadiya (2012): The Effect of Crude Oil Price on the Methanol price.

Abstract

Crude oil as one of the main sources of energy is also the main source of income for members of OPEC. So, the volatility of crude oil price is one of the main economic variables in the world and analysis of the effect of its changes on key economic factors has been always considered as significant. The reason might be the high sensitivity of oil price to political, economic and cultural issues worldwide and consequently its volatility on the one hand, and the high influence of the volatile prices on macroeconomic variables. On the other hand, for different reasons such as oil price volatilities and income from oil export, economic planners and policy makers in Iran have been mainly focused on the promotion of non-oil exports especially during the last few decades. Therefore, methanol as one of the most commonly used petrochemical products has a high potential for production and export of non-oil products in Iran. For this reason, in the present study there was an attempt to examine the relationship between the prices of Iran’s crude oil and methanol using FIGARCH model and based on the weekly time series data related to the research variables. The results of the study showed that the long memory parameter is equal to 0.32 which is meaning the shocks caused by volatility of methanol market and crude oil price to the methanol price were lasting and meaningful and were revealed in the long term.

• Item Type: MPRA Paper
• Language: English
• Keywords: Methanol Price, Crude Oil Price, FIGARCH Model
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General; C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q43 - Energy and the Macroeconomy

References

1. Adrangi. B., Chatratha, A., Raffieeb, K., Ripplec, R.D., (2001), "Alaska North Slope Crude Oil Price and the Behavior of Diesel Prices in California", Energy Economics, Vol. 23, PP. 29-42.

2. Aloui, C., Mabrouk, S., (2010), "Value-At-Risk Estimations of Energy Commodities via Long-Memory, Asymmetry and Fat-Tailed GARCH Models", Energy Policy, Vol. 38, No. 5, PP. 2326-2339.

3. Arouri, M., Lahiani, A., Nguyen, D.K., (2010), "Forecasting the Conditional Volatility of Oil Spot and Futures Prices with Structural Breaks and Long Memory Models", International Conference on Economic Modeling, July, (Istanbul, Turkey).

4. Ayadi, O.F., Williams, J., Hyman, L.M., (2009), "Fractional Dynamic Behavior in Forcados Oil Price Series: An Application of Detrended Fluctuation Analysis", Energy for Sustainable Development, Vol. 13, PP. 11–17.

5. Baillie, R.T., King, M.L., (1996), "Fractional Differencing and Long Memory Processes", Journal of Econometrics, Vol. 73, Issue 1, PP. 1-3.

6. Baillie, R.T., Bollerslev, T., Mikkelsen, H.O., (1996), "Fractionally Integrated Generalized Autoregressive Conditional Heteroscedasticity", Journal of Econometrics, Vol. 74, Pp. 3–30.

7. Barbiroli, G., (2002), "Sustainable Economic Systems, Principles of Sustainable Development", Vol. I, PP. 1-10.

8. Bashiri Behmiri, N., Manso, J.R.P., (2012), "Does Portuguese Economy Support Crude Oil Conservation Hypothesis?", Energy Policy, Vol. 45, PP. 628-634.

9. Belkhouja, M., Boutahary, M., (2011), "Modeling Volatility with Time-Varying FIGARCH Models", Economic Modelling, Vol. 28, PP. 1106–1116.

10. Bollerslev. T., (1986), "Generalized Autoregressive Conditional Heteroscedasticity", Journal of Econometrics, Vol. 31, No. 3, PP. 307-327.

11. Cheong, C.W., (2009), "Modeling And Forecasting Crude Oil Markets Using ARCH-Type Models", Energy Policy, No. 37, Pp. 2346–2355.

12. Choi, K., Hammoudeh, S., (2009), "Long Memory in Oil and Refined Products Markets", The Energy Journal, Vol. 30, No. 2, PP. 97-116.

13. Delavari, M., Gandali Alikhani, N., Naderi, E., (2013), "Do Dynamic Neural Networks Stand a Better Chance In Fractionally Integrated Process Forecasting?", International Journal Of Economics and Financial Issues, Vol. 3, No. 2, PP. 466-475.

14. Engle. R.F., (1982), "Autoregressive Conditional Heteroskedadticity with Estimates of the Variance of UK Inflation", Econometrica, Vol. 50, No. 4, PP. 987-1008.

15. Farzanegan, M.R., (2011), "Oil Revenue Shocks and Government Spending Behavior in Iran", Energy Economics, Vol. 33, PP. 1055–1069.

16. Ghosh, S., (2011), "Examining Crude Oil Price–Exchange Rate Nexus for India during the Period of Extreme Oil Price Volatility", Applied Energy, Vol. 88, Issue. 5, PP. 1886-1889.

17. Granger, C. W. J., Joyeux, R., (1980), "An Introduction to Long Memory Time Series Models and Fractional Differencing", Journal of Time Series Analysis, No. 1, PP. 15-29.

18. He, Y., Wang, Sh., Lai, K.K., (2010), "Global Economic Activity and Crude Oil Prices: A Cointegration Analysis", Energy Economics, Vol. 32, Issue. 4, PP. 868-876.

19. Hosking, J.R.M., (1981), "Fractional Differencing", Biometrika, Vol. 68, PP.165–176.

20. Hurst, H.R., (1951), "Long-Term Storage in Reservoirs", Transactions of the American Society of Civil Engineers, Vol. 116, PP. 770-799.

21. Ji, Q., (2011), "System Analysis Approach for the Identification of Factors Driving Crude Oil Prices", Computers & Industrial Engineering, In Press, Corrected Proof, Available Online.

22. Joets, M, Mignon, V., (2011), "On the Link between forward Energy Prices: A Nonlinear Panel Cointegration Approach", Universities De Paris Ouest Nanterre La Defense, No. 7235, PP. 1-16.

23. Kang, S.H., Yoon, S.M., (2013), "Modeling and Forecasting the Volatility of Petroleum Futures Prices", Energy Economics, Vol. 36, PP. 354–362.

24. Kang, S.H., Cheong, C., Yoon, S.M., (2011), "Structural Changes and Volatility Transmission in Crude Oil Markets", Physica A, Vol. 390, PP. 4317–4324.

25. Kang, S.H., Kang, S.M., Yoon, S.M., (2009), "Forecasting Volatility of Crude Oil Markets", Energy Economics, Vol. 31, PP. 119–125.

26. Klett, T.R., Gautier, D.L., Ahlbrandt, T.S., (2007), "An Evaluation of the Usage World Petroleum Assessment 2000—Supporting Data", Science for a Changing World, Vol. 1021, PP. 1-9.

27. Komijani, A., Alikhani, N.G., Naderi, E., (2013), "The Long-Run and Short-Run Effects of Crude Oil Price on Methanol Market in Iran", International Journal of Energy Economics and Policy, Vol. 3, No. 1, PP. 43-50.

28. Lee, J.W., Lee, K.E., Rikvold, P.A., (2006), "Multi-fractal Behavior of the Korean Stock Market Index Kospi", Physica A: Statistical Mechanics and Its Applications, Vol. 364, PP. 355-361.

29. Lento, C. (2009), "Long-Term Dependencies and the Profitability of Technical Analysis", International Research Journal of Finance and Economics, Vol. 269, PP. 126-133.

30. Lin, X., Fei, F., (2013), "Long Memory Revisit in Chinese Stock Markets: Based on GARCH-Class Models and Multi Scale Analysis", Economic Modeling, Vol. 31, PP. 265–275.

31. Liu, G., Williams, R.H., Larson, E.D., Kreutz, T.G., (2011), "Design/Economics of Low-Carbon Power Generation from Natural Gas and Biomass with Synthetic Fuels Co-Production", Energy Procedia, Vol. 4, PP. 1989-1996.

32. Liu, M.H., Margaritis, D., Tourani-Rad, A., (2010), "Is There an Asymmetry in the Response of Diesel and Petrol Prices to Crude Oil Price Changes? Evidence from New Zealand", Energy Economics, Vol. 32, Issue. 4, PP. 926-932.

33. Los, C.A., Yalamova, R., (2004), "Multi-fractal Spectral Analysis of the 1987 Stock Market Crash", Working Paper Kent State University, Department of Finance.

34. Mandelbrot, B.B., (1999), "A Multi-fractal Walk Down Wall Street", Scientific American, Vol. 280, No. 2, PP. 70-73.

35. Masih, M., Algahtani, I., Demello, L., (2010 A), "Price Dynamics of Crude Oil and the Regional Ethylene Markets", Energy Economics, Vol. 38, PP. 1435-1444.

36. Masih, M., Albinali, K., Demello, L., (2010 B), "Price Dynamics of Natural Gas and the Regional Methanol Markets", Energy Policy, Vol 38, PP. 1372–1378.

37. Methanex, November (2011), Methanex Investor Presentation, A Responsible Care Company.

38. Mostafaei. H & Sakhabakhsh. L., (2011), "Modeling and Forecasting of OPEC Oil Prices with ARFIMA Model", International Journal of Academic Research Vol. 3. No.1, Part Iii.

39. Nexant, November (2009), Methanol Strategic Business Analysis, Chemsystems.

40. Ou, B., Zhang, X., Wang, Sh., (2012), "How Does China’s Macro-Economy Response to the World Crude Oil Price Shock: A Structural Dynamic Factor Model Approach", Computers & Industrial Engineering, In Press, Accepted Manuscript, Available Online.

41. Poon, H., Granger, C.W.J., (2003), "Forecasting Volatility in Financial Markets: A Review", Journal of Economic Literature, Vol. Xli, PP. 478–539.

42. Prado. S., (2011), "Free Lunch in the Oil Market: A Note on Long Memory", Working Paper, No.23.

43. Ramberg, D.J., Parsons, J.E., (2011), "The Weak Tie Between Natural Gas and Oil Prices", Mit Center for Energy and Environmental Policy Research, Cambridge, No. E19-411, PP. 1-24.

44. Rosthal. J. E., (2010), "The Relationship between Crude Oil and Natural Gas Prices and Its Effect on Demand", A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy.

45. Stephen P.A., Brown, M., Yucel, K., (2008), "What Drives Natural Gas Prices?", The Energy Journal, Vol. 29, No. 2, PP. 43-58.

46. Takaendesa, P., (2006), "The Behavior and Fundamental Determinants of The Real Exchange Rate in South Africa", Rhodes University, Masters in Commerce (Financial Markets).

47. Tonn, V. L., Li, H.C., McCarthy, J., (2010), "Wavelet Domain Correlation between the Futures Prices of Natural Gas and Oil", The Quarterly Review of Economics and Finance, Vol. 50, PP. 408–414.

48. Vo, M., (2011), "Oil and Stock Market Volatility: A Multivariate Stochastic Volatility Perspective", Energy Economics, Vol. 33, PP. 956–965.

49. Vora, B., Chen, J.Q., Bozzano, A., Glover, B., Barger, P., (2009), "Various Routes to Methane Utilization—Sapo-34 Catalysis Offers the Best Option", Catalysis Today, Vol. 141, PP. 77–83.

50. Wang, Y., Wu, C., Wei, Y., (2011), "Can GARCH-Class Models Capture Long Memory in WTI Crude Oil Markets?", Economic Modelling, Vol. 28, PP. 921–927.

51. Wei, Y., (2012), "Forecasting Volatility of Fuel Oil Futures in China: GARCH-Type, SV Or Realized Volatility Models?", Physica A, Vol. 391, PP. 5546–5556.

52. Wei, Y., Wang, Y., Huang, D., (2010), "Forecasting Crude Oil Market Volatility: Further Evidence Using GARCH-Class Models", Energy Economics, Vol. 32, PP. 1477–1484.

53. Zhou. J, Kang. Z, (2011), "A Comparison of Alternative Forecast Models of REIT Volatility", Journal of Real Estate Finance and Economic, No. 42, PP. 275–294.

54. Ziramba, E., (2010), "Price and Income Elasticities of Crude Oil Import Demand in South Africa: A Cointegration Analysis", Energy Policy, Vol. 38, Issue. 12, PP. 7844-7849.