"Chaos" in energy and commodity markets: a controversial matter
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- Apostolos Serletis & Periklis Gogas, 2007.
"The North American Natural Gas Liquids Markets are Chaotic,"
World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 17, pages 225-244,
World Scientific Publishing Co. Pte. Ltd..
- Apostolos Serletis & Periklis Gogas, 1999. "The North American Natural Gas Liquids Markets are Chaotic," The Energy Journal, , vol. 20(1), pages 83-103, January.
- Apostolos Serletis & Periklis Gogas, 1999. "The North American Natural Gas Liquids Markets are Chaotic," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 83-103.
- Serletis, A. & Gogas, P., 1998. "The North American Natural Gas Liquids Markets are Chaotic," Papers 98-10, Calgary - Department of Economics.
- Serletis, Apostolos & Gogas, Periklis, 1999. "The North American natural gas liquids markets are chaotic," MPRA Paper 1576, University Library of Munich, Germany.
- Gradojevic, Nikola & Gencay, Ramazan, 2008.
"Overnight interest rates and aggregate market expectations,"
Economics Letters, Elsevier, vol. 100(1), pages 27-30, July.
- Nikola Gradojevic & Ramazan Gençay, 2009. "Overnight Interest Rates and Aggregate Market Expectations," Working Paper series 26_09, Rimini Centre for Economic Analysis.
- Franses,Philip Hans & Dijk,Dick van, 2000.
"Non-Linear Time Series Models in Empirical Finance,"
Cambridge Books,
Cambridge University Press, number 9780521770415, October.
- Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, October.
- Benedetto, F. & Giunta, G. & Mastroeni, L., 2016. "On the predictability of energy commodity markets by an entropy-based computational method," Energy Economics, Elsevier, vol. 54(C), pages 302-312.
- Saeed Moshiri & Faezeh Foroutan, 2006. "Forecasting Nonlinear Crude Oil Futures Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 81-96.
- Victor Chwee, 1998. "Chaos in Natural Gas Futures?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 149-164.
- Panas, E., 2001. "Long memory and chaotic models of prices on the London Metal Exchange," Resources Policy, Elsevier, vol. 27(4), pages 235-246, December.
- Saeed Moshiri & Faezeh Foroutan, 2006.
"Forecasting Nonlinear Crude Oil Futures Prices,"
The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 81-96.
- Saeed Moshiri & Faezeh Foroutan, 2006. "Forecasting Nonlinear Crude Oil Futures Prices," The Energy Journal, , vol. 27(4), pages 81-96, October.
- Sarantis, Nicholas, 2001. "Nonlinearities, cyclical behaviour and predictability in stock markets: international evidence," International Journal of Forecasting, Elsevier, vol. 17(3), pages 459-482.
- Barnett, William A. & Serletis, Apostolos, 2000.
"Martingales, nonlinearity, and chaos,"
Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 703-724, June.
- William A. Barnett & Apostolos Serletis, 1998. "Martingales, Nonlinearity, and Chaos," Econometrics 9805003, University Library of Munich, Germany.
- William Barnett & Apostolos Serletis, 2012. "Martingales, Nonlinearity, And Chaos," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201225, University of Kansas, Department of Economics, revised Sep 2012.
- Gençay, Ramazan & Gradojevic, Nikola, 2010.
"Crash of '87 -- Was it expected?: Aggregate market fears and long-range dependence,"
Journal of Empirical Finance, Elsevier, vol. 17(2), pages 270-282, March.
- Ramazan Gencay & Nikola Gradojevic, 2009. "Crash of '87 - Was it Expected? Aggregate Market Fears and Long Range Dependence," Working Paper series 28_09, Rimini Centre for Economic Analysis.
- Barkoulas, John T. & Chakraborty, Atreya & Ouandlous, Arav, 2012. "A metric and topological analysis of determinism in the crude oil spot market," Energy Economics, Elsevier, vol. 34(2), pages 584-591.
- Adrangi, Bahram & Chatrath, Arjun & Dhanda, Kanwalroop Kathy & Raffiee, Kambiz, 2001. "Chaos in oil prices? Evidence from futures markets," Energy Economics, Elsevier, vol. 23(4), pages 405-425, July.
- Zhang, Michael Yuanjie & Russell, Jeffrey R. & Tsay, Ruey S., 2001. "A nonlinear autoregressive conditional duration model with applications to financial transaction data," Journal of Econometrics, Elsevier, vol. 104(1), pages 179-207, August.
- Chatrath, Arjun & Adrangi, Bahram & Dhanda, Kanwalroop Kathy, 2002. "Are commodity prices chaotic?," Agricultural Economics, Blackwell, vol. 27(2), pages 123-137, August.
- Panas, Epaminondas & Ninni, Vassilia, 2000. "Are oil markets chaotic? A non-linear dynamic analysis," Energy Economics, Elsevier, vol. 22(5), pages 549-568, October.
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This paper has been announced in the following NEP Reports:- NEP-ENE-2016-11-27 (Energy Economics)
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