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Electronic trading system and returns volatility in the oil futures market

Author

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  • Liao, Huei-Chu
  • Lee, Yi-Huey
  • Suen, Yu-Bo

Abstract

This paper uses daily Brent crude prices to investigate the employment of electronic trading on the returns conditional volatility in the oil futures market. After a suitable GARCH model is established, the conditional volatility series are found. The Bai and Perron model is then used to find two significant structural breaks for these conditional volatility series around two implementation dates of electronic trading. This result indicates that the change in the trading system has significant impacts on the returns volatility since our estimated second break date is very close to the all-electronic trade implementation date. Moreover, the conditional volatility in the all-electronic trading period is found to be more dominated by the temporal persistence rather than the volatility clustering effect. All these evidence can shed some light for explaining the high relationship between more volatile world oil price and the more popular electronic trade.

Suggested Citation

  • Liao, Huei-Chu & Lee, Yi-Huey & Suen, Yu-Bo, 2008. "Electronic trading system and returns volatility in the oil futures market," Energy Economics, Elsevier, vol. 30(5), pages 2636-2644, September.
    • Handle: RePEc:eee:eneeco:v:30:y:2008:i:5:p:2636-2644
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    Cited by:

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    2. Czupryna Marcin & Oleksy Paweł, 2018. "The Effect of an Electronic Exchange on Prices and Return Volatility in the Fine Wine Market," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 14(4), pages 22-35, December.
    3. Adamolekun, Gbenga & Sakariyahu, Rilwan & Lawal, Rodiat & Ahmed, Ammar, 2023. "Electronic trading and stock market participation in Africa: Does technology induce participation?," Economics Letters, Elsevier, vol. 224(C).
    4. Hayat, Aziz & Narayan, Paresh Kumar, 2010. "The oil stock fluctuations in the United States," Applied Energy, Elsevier, vol. 87(1), pages 178-184, January.
    5. Wang, Cheng & Bouri, Elie & Xu, Yahua & Zhang, Dingsheng, 2023. "Intraday and overnight tail risks and return predictability in the crude oil market: Evidence from oil-related regular news and extreme shocks," Energy Economics, Elsevier, vol. 127(PB).

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