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Dynamic frequency connectedness between oil and natural gas volatilities

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  • Lovcha, Yuliya
  • Perez-Laborda, Alejandro

Abstract

The goal of this paper is twofold. First, we study dynamic volatility connectedness between oil and natural gas over the period 1994 to 2018. Second, we examine the frequency dynamics of the transmission mechanism arising from frequency-specific responses to volatility shocks. To do so, we adopt a newly introduced approach that decomposes connectedness measures based on variance decompositions into their components at different frequency ranges. Our results summarize as follows: (a) there is a substantial variation in volatility spillovers over time; (b) the natural gas market was a net transmitter during the central part of our sample period; (c) the magnitude of spillovers was smaller after the financial crisis, but volatilities are not decoupled. (d) The volatility propagation mechanism is frequency dependent. Connectedness is typically created at low-frequencies, with volatility shocks across markets having long-lasting effects. However, during some specific periods, such as after Katrina, volatility was transmitted much faster, with shocks dissipating in the short-run.

Suggested Citation

  • Lovcha, Yuliya & Perez-Laborda, Alejandro, 2020. "Dynamic frequency connectedness between oil and natural gas volatilities," Economic Modelling, Elsevier, vol. 84(C), pages 181-189.
  • Handle: RePEc:eee:ecmode:v:84:y:2020:i:c:p:181-189
    DOI: 10.1016/j.econmod.2019.04.008
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    Cited by:

    1. Tadahiro Nakajima & Yuki Toyoshima, 2020. "Examination of the Spillover Effects among Natural Gas and Wholesale Electricity Markets Using Their Futures with Different Maturities and Spot Prices," Energies, MDPI, Open Access Journal, vol. 13(7), pages 1-14, March.
    2. Ngo Thai Hung, 2020. "Identifying the Dynamic Connectedness between Propane and Oil Prices: Evidence from Wavelet Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 315-326.
    3. Tiantian Liu & Shigeyuki Hamori, 2020. "Spillovers to Renewable Energy Stocks in the US and Europe: Are They Different?," Energies, MDPI, Open Access Journal, vol. 13(12), pages 1-28, June.
    4. Yijin He & Tadahiro Nakajima & Shigeyuki Hamori, 2019. "Connectedness Between Natural Gas Price and BRICS Exchange Rates: Evidence from Time and Frequency Domains," Energies, MDPI, Open Access Journal, vol. 12(20), pages 1-28, October.
    5. Wenting Zhang & Xie He & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "How Does the Spillover among Natural Gas, Crude Oil, and Electricity Utility Stocks Change over Time? Evidence from North America and Europe," Energies, MDPI, Open Access Journal, vol. 13(3), pages 1-26, February.
    6. Tiantian Liu & Xie He & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "Influence of Fluctuations in Fossil Fuel Commodities on Electricity Markets: Evidence from Spot and Futures Markets in Europe," Energies, MDPI, Open Access Journal, vol. 13(8), pages 1-20, April.
    7. Kinkyo, Takuji, 2020. "Time-frequency dynamics of exchange rates in East Asia," Research in International Business and Finance, Elsevier, vol. 52(C).

    More about this item

    Keywords

    Volatility spillovers; Frequency domain; Spectral analysis; Systemic risk; C18; C58; G10;

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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