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The nexus between natural gas spot and futures prices at NYMEX: Do weather shocks and non-linear causality in low frequencies matter?

Author

Listed:
  • Dergiades, Theologos
  • Madlener, Reinhard
  • Christofidou, Georgia

Abstract

The existence of non-linear dynamics in the prices of commodities is an endemic feature and one of the most fundamental stylized facts in the finance literature. This study, conditioning on weather shocks, investigates the nature of the existing predictive power between natural gas spot and futures prices at the NYMEX market. By implementing a causality test in the frequency domain, we find that the short maturity futures market offers a significant predictive power towards the spot market. The identified predictive power over the frequency band proves to be asymmetric with respect to the first- and the second-conditional moments of the series. In particular, our results show that for high frequencies (short-run) predictability is linked to the first-conditional moment while, for low frequencies (long-run) predictability is attributed to the second-conditional moment.

Suggested Citation

  • Dergiades, Theologos & Madlener, Reinhard & Christofidou, Georgia, 2018. "The nexus between natural gas spot and futures prices at NYMEX: Do weather shocks and non-linear causality in low frequencies matter?," The Journal of Economic Asymmetries, Elsevier, vol. 18(C), pages 1-1.
  • Handle: RePEc:eee:joecas:v:18:y:2018:i:c:3
    DOI: 10.1016/j.jeca.2018.e00100
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    Cited by:

    1. Belhoula, Mohamed Malek & Mensi, Walid & Al-Yahyaee, Khamis Hamed, 2024. "Dynamic speculation and efficiency in European natural gas markets during the COVID-19 and Russia-Ukraine crises," Resources Policy, Elsevier, vol. 98(C).
    2. Wilko Rohlfs & Reinhard Madlener, 2013. "Challenges in the Evaluation of Ultra-Long-Lived Projects: Risk Premia for Projects with Eternal Returns or Costs," FCN Working Papers 13/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    3. Mohammed I Shuaibu & Mutiu A Oyinlola, 2013. "Do structural breaks matter in the growth-environment nexus in Nigeria?," Economics Bulletin, AccessEcon, vol. 33(4), pages 2982-2994.
    4. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).
    5. Guo, Yaoqi & Yao, Shanshan & Cheng, Hui & Zhu, Wensong, 2020. "China's copper futures market efficiency analysis: Based on nonlinear Granger causality and multifractal methods," Resources Policy, Elsevier, vol. 68(C).
    6. Marjolein Harmsen - van Hout & Gaurav Ghosh & Reinhard Madlener, 2013. "An Evaluation of Attribute Anchoring Bias in a Choice Experimental Setting," FCN Working Papers 6/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    7. Sebastian Nick, 2013. "Price Formation and Intertemporal Arbitrage within a Low-Liquidity Framework: Empirical Evidence from European Natural Gas Markets," EWI Working Papers 2013-14, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    8. Sebastian Nick, 2016. "The Informational Efficiency of European Natural Gas Hubs: Price Formation and Intertemporal Arbitrage," The Energy Journal, , vol. 37(2), pages 1-30, April.
    9. Marjolein Harmsen - van Hout & Gaurav Ghosh & Reinhard Madlener, 2013. "The Impact of Green Framing on Consumers’ Valuations of Energy-Saving Measures," FCN Working Papers 7/2013, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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