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Energy price dynamics in the U.S. market. Insights from a heterogeneous multi-regime framework

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  • Dias, José G.
  • Ramos, Sofia B.

Abstract

Energy is a key input in investment decision making with a well-known effect on economic growth. Inelasticity of energy demand urges an understanding of its price dynamics. This paper makes a joint analysis of the price of oil, natural gas, and electricity in U.S. markets using a multi-regime specification that captures the stylized facts of energy prices. Oil and natural gas returns have similar regime dynamics and are well characterized by a high and low volatility regime. Electricity returns have to be parameterized with more regimes: a low volatility, a price spike, and a mean-reverting regime. The California crisis period stands out as a sole regime with extremely high volatility. Our methodology allows the synchronization among regimes to be studied and we find that electricity prices tend to be synchronized in U.S. wholesale markets, while natural gas returns show synchronization with electricity returns in the low volatility regime.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:energy:v:68:y:2014:i:c:p:327-336
    DOI: 10.1016/j.energy.2014.01.077
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    Cited by:

    1. Hagfors, Lars Ivar & Bunn, Derek & Kristoffersen, Eline & Staver, Tiril Toftdahl & Westgaard, Sjur, 2016. "Modeling the UK electricity price distributions using quantile regression," Energy, Elsevier, vol. 102(C), pages 231-243.
    2. Márcio Poletti Laurini & Roberto Baltieri Mauad & Fernando Antonio Lucena Aiube, 2016. "Multivariate Stochastic Volatility-Double Jump Model: an application for oil assets," Working Papers Series 415, Central Bank of Brazil, Research Department.
    3. Zhao, Zhen-yu & Zhu, Jiang & Xia, Bo, 2016. "Multi-fractal fluctuation features of thermal power coal price in China," Energy, Elsevier, vol. 117(P1), pages 10-18.
    4. Wang, Minggang & Chen, Ying & Tian, Lixin & Jiang, Shumin & Tian, Zihao & Du, Ruijin, 2016. "Fluctuation behavior analysis of international crude oil and gasoline price based on complex network perspective," Applied Energy, Elsevier, vol. 175(C), pages 109-127.

    More about this item

    Keywords

    Electricity prices; Natural gas prices; Oil prices; Regime switching models;

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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