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The intraday relationship between volume and volatility in LIFFE futures markets

Author

Listed:
  • Owain Ap Gwilym
  • David McMillan
  • Alan Speight

Abstract

This paper examines the intraday behaviour of five-minute FTSE-100, Short Sterling and Long Gilt LIFFE futures returns volatility and volume. The intraday patterns identified exhibit a U-shape, significantly affected by UK and US macroeconomic news releases. Evidence from estimation of a GMM system for volatility and volume supports a significant positive and contemporaneous correlation between volatility and volume, although lagged volume is also significant in the volatility equation. Further, there is strong evidence of bi-directional causality on the basis of Granger-causality testing. These results are found to be robust to the adjustment of volatility and volume for macroeconomic news effects, and in the case of the Granger-causality tests to a variety of temporal horizons.

Suggested Citation

  • Owain Ap Gwilym & David McMillan & Alan Speight, 1999. "The intraday relationship between volume and volatility in LIFFE futures markets," Applied Financial Economics, Taylor & Francis Journals, vol. 9(6), pages 593-604.
    • Handle: RePEc:taf:apfiec:v:9:y:1999:i:6:p:593-604
    DOI: 10.1080/096031099332041
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    Citations

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    Cited by:

    1. Manuel Ammann & Stephan Markus Kessler, 2009. "Intraday characteristics of stock price crashes," Applied Financial Economics, Taylor & Francis Journals, vol. 19(15), pages 1239-1255.
    2. Halova Wolfe, Marketa & Rosenman, Robert, 2014. "Bidirectional causality in oil and gas markets," Energy Economics, Elsevier, vol. 42(C), pages 325-331.
    3. Robert Daigler, 2007. "Spread volume for currency futures," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 31(1), pages 12-19, March.
    4. Chen, Qiang & Gong, Yuting, 2019. "The economic sources of China's CSI 300 spot and futures volatilities before and after the 2015 stock market crisis," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 102-121.
    5. Chien-Hung Chen & Nicholas Lee & Fu-Min Chang & Li-Peng Lan, 2021. "Are global gold futures returns volatilities and trading activities threshold cointegrated?," Journal of Financial Economic Policy, Emerald Group Publishing Limited, vol. 13(5), pages 525-538, May.
    6. Canto, Bea & Kräussl, Roman, 2007. "Electronic trading systems and intraday non-linear dynamics: An examination of the FTSE 100 cash and futures returns," CFS Working Paper Series 2007/20, Center for Financial Studies (CFS).
    7. Antonakakis, Nikolaos & Floros, Christos & Kizys, Renatas, 2016. "Dynamic spillover effects in futures markets: UK and US evidence," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 406-418.
    8. Brian M Lucey and Alexander Eastman, 2008. "Comparing Garman-Klass and DU Volatility and Symmetry Measures in Intraday Futures Returns and Volumes: A Vector Autoregression Analysis," The Institute for International Integration Studies Discussion Paper Series iiisdp260, IIIS.
    9. David McMillan & Alan Speight, 2006. "Heterogeneous information flows and intra-day volatility dynamics: evidence from the UK FTSE-100 stock index futures market," Applied Financial Economics, Taylor & Francis Journals, vol. 16(13), pages 959-972.
    10. Tribhuvan N. Puri & George C. Philippatos, 2008. "Asymmetric Volume‐Return Relation and Concentrated Trading in LIFFE Futures," European Financial Management, European Financial Management Association, vol. 14(3), pages 528-563, June.
    11. David McMillan & Alan Speight, 2003. "Asymmetric volatility dynamics in high frequency FTSE-100 stock index futures," Applied Financial Economics, Taylor & Francis Journals, vol. 13(8), pages 599-607.
    12. Gregor Dorfleitner, 2004. "How short-termed is the trading behaviour in Eurex futures markets?," Applied Financial Economics, Taylor & Francis Journals, vol. 14(17), pages 1269-1279.
    13. Fair, Ray C., 2003. "Shock effects on stocks, bonds, and exchange rates," Journal of International Money and Finance, Elsevier, vol. 22(3), pages 307-341, June.
    14. Antonakakis, Nikolaos & Kizys, Renatas & Floros, Christos, 2014. "Dynamic Spillover Effects in Futures Markets," MPRA Paper 53876, University Library of Munich, Germany.
    15. Alexandre Aidov & Olesya Lobanova, 2021. "Volatility and Depth in Commodity and FX Futures Markets," JRFM, MDPI, vol. 14(11), pages 1-16, November.
    16. Sibel ?EL?K, 2013. "New Evidence on the Relation between Trading Volume and Volatility," Business and Economic Research, Macrothink Institute, vol. 3(1), pages 176-186, June.
    17. Seung Hwan Jeong & Hee Soo Lee & Hyun Nam & Kyong Joo Oh, 2021. "Using a Genetic Algorithm to Build a Volume Weighted Average Price Model in a Stock Market," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    18. David McMillan & Alan Speight, 2002. "Return-volume dynamics in UK futures," Applied Financial Economics, Taylor & Francis Journals, vol. 12(10), pages 707-713.
    19. scar Carchano & Julio Lucia & ngel Pardo, 2017. "A New Perspective on the Relationship between Trading Variables and Volatility in Futures Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 397-407.

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