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Energy sector pricing: On the role of neglected nonlinearity

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Author Info

  • Kyrtsou, Catherine
  • Malliaris, Anastasios G.
  • Serletis, Apostolos

Abstract

Modern economies have been subjected to a number of shocks during the past several years such as the burst of the Internet bubble, terrorist attacks, corporate scandals, the war in Iraq, the uncertainty about energy prices, and the recent subprime mortgage crisis. In particular, during the last few years, the energy shock has caused concerns for potential stagflation for both the United States and numerous other countries. We perform numerous univariate tests for non-linearity and chaotic structure using price data from the energy sector to resolve whether the sector's fundamentals or exogenous shocks drive these prices.

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Bibliographic Info

Article provided by Elsevier in its journal Energy Economics.

Volume (Year): 31 (2009)
Issue (Month): 3 (May)
Pages: 492-502

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Handle: RePEc:eee:eneeco:v:31:y:2009:i:3:p:492-502

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Web page: http://www.elsevier.com/locate/eneco

Related research

Keywords: Energy Nonlinearity Chaotic dynamics;

References

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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.:
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Citations

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Cited by:
  1. Van Hoa, Tran & Limskul, Kitti, 2013. "Economic impact of CO2 emissions on Thailand's growth and climate change mitigation policy: A modelling analysis," Economic Modelling, Elsevier, vol. 33(C), pages 651-658.
  2. Luís Francisco Aguiar & Teresa Maria Rodrigues & Maria Joana Soares, 2012. "Oil Shocks and the Euro as an Optimum Currency Area," NIPE Working Papers 07/2012, NIPE - Universidade do Minho.
  3. Caraiani, Petre, 2013. "Testing for nonlinearity and chaos in economic time series with noise titration," Economics Letters, Elsevier, vol. 120(2), pages 192-194.
  4. Elena Olmedo, 2014. "Forecasting Spanish Unemployment Using Near Neighbour and Neural Net Techniques," Computational Economics, Society for Computational Economics, vol. 43(2), pages 183-197, February.
  5. Malliaris, A.G. & Kyrtsou, C., 2009. "Editorial introduction of the special issue: "Energy sector pricing and macroeconomic dynamics"," Energy Economics, Elsevier, vol. 31(6), pages 825-826, November.
  6. Chen, Shyh-Wei & Lin, Shih-Mo, 2014. "Non-linear dynamics in international resource markets: Evidence from regime switching approach," Research in International Business and Finance, Elsevier, vol. 30(C), pages 233-247.
  7. Rita Sousa & Luís Aguiar-Conraria & Maria Joana Soares, 2014. "Carbon Financial Markets: a time-frequency analysis of CO2 price drivers," NIPE Working Papers 03/2014, NIPE - Universidade do Minho.
  8. Sergii Piskun & Oleksandr Piskun & Dmitry Chabanenko, 2011. "RQA Application for the Monitoring of Financial and Commodity markets state," Papers 1112.0297, arXiv.org.

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