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Price Discovery in Crude Oil Markets: Intraday Volatility Interactions between Crude Oil Futures and Energy Exchange Traded Funds

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  • Caner Ozdurak

    (Yeditepe University, Turkey.)

  • Veysel Ulusoy

    (Yeditepe University, Turkey.)

Abstract

In this paper we investigate the integration of financial derivatives with crude oil prices. The novelty of our paper is its focus on the impact of energy related Exchange Related Funds (ETFs) on crude oil prices. In the previous studies this relationship was studied only between equity markets and crude oil markets however, ETFs are now a crucial tool for information dispersion. First, we examine price discovery of crude oil prices by utilizing causality tests. We conclude that price discovery does not flow consistently from the futures to spot markets or vice versa. The causality is mostly bi-directional from futures market to spot markets for crude oil. Coherently, futures market drives energy-based ETFs market however cross market information increases the explanation power of volatility. Secondly, we tested whether there is any interaction between price volatility, the crude oil prices and energy-based ETF markets by employing EGARCH models using 5-min data. We used three different volatility measures which are square return, Garman and Klass (1980), Rogers and Satchell (1991) and Rogers et al. (1994).

Suggested Citation

  • Caner Ozdurak & Veysel Ulusoy, 2020. "Price Discovery in Crude Oil Markets: Intraday Volatility Interactions between Crude Oil Futures and Energy Exchange Traded Funds," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 402-413.
    • Handle: RePEc:eco:journ2:2020-03-51
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    References listed on IDEAS

    as
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    Cited by:

    1. Afees A. Salisu & Kingsley Obiora, 2021. "COVID-19 pandemic and the crude oil market risk: hedging options with non-energy financial innovations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    2. Afees A. Salisu & Abdulsalam Abidemi Sikiru & Philip C. Omoke, 2023. "COVID-19 pandemic and financial innovations," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3885-3904, August.
    3. Katarzyna Kuziak & Joanna Górka, 2023. "Dependence Analysis for the Energy Sector Based on Energy ETFs," Energies, MDPI, vol. 16(3), pages 1-30, January.

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    More about this item

    Keywords

    Oil Prices; Time Series; Volatility; Exchange Traded Funds; EGARCH; Granger Causality; News Impact Curves;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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