A Hybrid Approach for Forecasting of Oil Prices Volatility
This study aims to introduce an ideal model for forecasting crude oil price volatility. For this purpose, the ‘predictability’ hypothesis was tested using the variance ratio test, BDS test and the chaos analysis. Structural analyses were also carried out to identify possible nonlinear patterns in this series. On this basis, Lyapunov exponents confirmed that the return series of crude oil price is chaotic. Moreover, according to the findings, the rate of return series has the long memory property rejecting the efficient market hypothesis and affirming the fractal markets hypothesis. The results of GPH test verified that both the rate of return and volatility series of crude oil price have the long memory property. Besides, according to both MSE and RMSE criteria, wavelet-decomposed data improve the performance of the model significantly. Therefore, a hybrid model was introduced based on the long memory property which uses wavelet decomposed data as the most relevant model.
|Date of creation:||04 Jan 2013|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://mpra.ub.uni-muenchen.de
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Mehrara, Mohsen & Oskoui, Kamran Niki, 2007. "The sources of macroeconomic fluctuations in oil exporting countries: A comparative study," Economic Modelling, Elsevier, vol. 24(3), pages 365-379, May.
- Andrew W. Lo & A. Craig MacKinlay, 1987.
"Stock Market Prices Do Not Follow Random Walks: Evidence From a Simple Specification Test,"
NBER Working Papers
2168, National Bureau of Economic Research, Inc.
- Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
- Akbar Komijani & Nadiya Gandali Alikhani & Esmaeil Naderi, 2013.
"The Long-run and Short-run Effects of Crude Oil Price on Methanol Market in Iran,"
International Journal of Energy Economics and Policy,
Econjournals, vol. 3(1), pages 43-50.
- Komijani, Akbar & Gandali Alikhani, Nadiya & Naderi, Esmaeil, 2012. "The Long-run and Short-run Effects of Crude Oil Price on Methanol Market in Iran," MPRA Paper 45975, University Library of Munich, Germany.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics,
Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- 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.
- Artem Prokhorov, 2008. "Nonlinear dynamics and chaos theory in economics: a historical perspective (in Russian)," Quantile, Quantile, issue 4, pages 79-92, March.
- Mohamed El Hedi Arouri & Duc Khuong Nguyen & Amine Lahiani, 2010.
"Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models,"
- Arouri, Mohamed El Hédi & Lahiani, Amine & Lévy, Aldo & Nguyen, Duc Khuong, 2012. "Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models," Energy Economics, Elsevier, vol. 34(1), pages 283-293.
- Mohamed AROURI & Amine LAHIANI & D.-K. NGUYEN, 2010. "Forecasting the Conditional Volatility of Oil Spot andFutures Prices with Structural Breaksand Long Memory Models," Working Papers 661, Orleans Economic Laboratorys, University of Orleans.
- Mohamed El Hedi Arouri & Amine Lahiani & Khuong Nguyen Duc, 2010. "Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models," Working Papers 13, Development and Policies Research Center (DEPOCEN), Vietnam.
- Mohammadi, Hassan & Su, Lixian, 2010. "International evidence on crude oil price dynamics: Applications of ARIMA-GARCH models," Energy Economics, Elsevier, vol. 32(5), pages 1001-1008, September.
- Mohammad Reza FARZANEGAN & Gunther MARKWARDT, .
"The Effects of Oil Price Shocks on the Iranian Economy,"
- Farzanegan, Mohammad Reza & Markwardt, Gunther, 2009. "The effects of oil price shocks on the Iranian economy," Energy Economics, Elsevier, vol. 31(1), pages 134-151, January.
- Farzanegan, Mohammad Reza & Markwardt, Gunther, 2008. "The effects of oil price shocks on the Iranian economy," Dresden Discussion Paper Series in Economics 15/08, Dresden University of Technology, Faculty of Business and Economics, Department of Economics.
- Alvarez-Ramirez, Jose & Alvarez, Jesus & Solis, Ricardo, 2010. "Crude oil market efficiency and modeling: Insights from the multiscaling autocorrelation pattern," Energy Economics, Elsevier, vol. 32(5), pages 993-1000, September.
- Kyongwook Choi & Shawkat Hammoudeh, 2009. "Long Memory in Oil and Refined Products Markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 97-116.
- Alvarez-Ramirez, Jose & Alvarez, Jesus & Rodriguez, Eduardo, 2008. "Short-term predictability of crude oil markets: A detrended fluctuation analysis approach," Energy Economics, Elsevier, vol. 30(5), pages 2645-2656, September.
- Nese Erbil, 2011. "Is Fiscal Policy Procyclical in Developing Oil-Producing Countries?," IMF Working Papers 11/171, International Monetary Fund.
- Amélie Charles & Olivier Darne, 2009.
"The efficiency of the crude oil markets: Evidence from variance ratio tests,"
- Charles, Amélie & Darné, Olivier, 2009. "The efficiency of the crude oil markets: Evidence from variance ratio tests," Energy Policy, Elsevier, vol. 37(11), pages 4267-4272, November.
- Salisu, Afees A. & Fasanya, Ismail O., 2013. "Modelling oil price volatility with structural breaks," Energy Policy, Elsevier, vol. 52(C), pages 554-562.
- Vo, Minh, 2011. "Oil and stock market volatility: A multivariate stochastic volatility perspective," Energy Economics, Elsevier, vol. 33(5), pages 956-965, September.
- El Hedi Arouri, Mohamed & Huong Dinh, Thanh & Khuong Nguyen, Duc, 2010.
"Time-varying predictability in crude-oil markets: the case of GCC countries,"
Elsevier, vol. 38(8), pages 4371-4380, August.
- Mohamed El Hedi Arouri & Duc Khuong Nguyen & Thanh Huong Dinh, 2010. "Time-varying Predictability in Crude Oil Markets: The Case of GCC Countries," Working Papers hal-00507822, HAL.
- Cheong, Chin Wen, 2009. "Modeling and forecasting crude oil markets using ARCH-type models," Energy Policy, Elsevier, vol. 37(6), pages 2346-2355, June.
- Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2011. "Structural changes and volatility transmission in crude oil markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4317-4324.
- Wei, Yu & Wang, Yudong & Huang, Dengshi, 2010. "Forecasting crude oil market volatility: Further evidence using GARCH-class models," Energy Economics, Elsevier, vol. 32(6), pages 1477-1484, November.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:44654. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht)
If references are entirely missing, you can add them using this form.