IDEAS home Printed from
   My bibliography  Save this article

The lead-lag relationship between the FTSE100 stock index and its derivative contracts


  • Owain Ap Gwilym
  • Mike Buckle


This paper examines the lead/lag relationships between the FTSE100 stock market index and its related futures and options contracts, and also the interrelation between the derivatives markets. Both the index futures and index options contracts are found to lead the cash index as predicted. However, the call option market appears to marginally lead both the index futures and the put option market. In the only previous paper to examine the inter-market relationships between a stock index and related futures and options contracts, Fleming et al (Journal of Futures Markets, 16, 353-387, 1996) maintain that relative trading costs determine which market leads. As the trading costs of calls and puts are similar, other factors must be driving the relationships observed in this paper. We hypothesize that informed traders with bullish expectations wishing to gain leverage from the options market will buy calls or, with greater risk, sell puts. As market sentiment was bullish for most of the sample period examined, this could explain the call market leads reported.

Suggested Citation

  • Owain Ap Gwilym & Mike Buckle, 2001. "The lead-lag relationship between the FTSE100 stock index and its derivative contracts," Applied Financial Economics, Taylor & Francis Journals, vol. 11(4), pages 385-393.
  • Handle: RePEc:taf:apfiec:v:11:y:2001:i:4:p:385-393 DOI: 10.1080/096031001300313947

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Dittmann, Ingolf, 1998. "Residual-based tests for fractional cointegration: A Monte Carlo study," Technical Reports 1998,09, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    2. Michael Dueker & Richard Startz, 1998. "Maximum-Likelihood Estimation Of Fractional Cointegration With An Application To U.S. And Canadian Bond Rates," The Review of Economics and Statistics, MIT Press, vol. 80(3), pages 420-426, August.
    3. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    4. Baillie, Richard T & Bollerslev, Tim, 1994. " Cointegration, Fractional Cointegration, and Exchange Rate Dynamics," Journal of Finance, American Finance Association, vol. 49(2), pages 737-745, June.
    5. Fama, Eugene F, 1991. " Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    6. Cerchi, Marlene & Havenner, Arthur, 1988. "Cointegration and stock prices : The random walk on wall street revisited," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 333-346.
    7. Cheung, Yin-Wong & Lai, Kon S., 1997. "Bandwidth Selection, Prewhitening, and the Power of the Phillips-Perron Test," Econometric Theory, Cambridge University Press, vol. 13(05), pages 679-691, October.
    8. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    9. G. Geoffrey Booth & Yiuman Tse, 1995. "Long memory in interest rate futures markets: A fractional cointegration analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 15(5), pages 573-584, August.
    10. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    11. Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-228, August.
    12. Cheung, Yin-Wong & Lai, Kon S, 1993. "A Fractional Cointegration Analysis of Purchasing Power Parity," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 103-112, January.
    Full references (including those not matched with items on IDEAS)


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Kai-Li Wang & Mei-Ling Chen, 2007. "The dynamics in the spot, futures, and call options with basis asymmetries: an intraday analysis in a generalized multivariate GARCH-M MSKST framework," Review of Quantitative Finance and Accounting, Springer, vol. 29(4), pages 371-394, November.
    2. Lee, Ming-Chih & Chiu, Chien-Liang & Lee, Yen-Hsien, 2007. "Is twin behavior of Nikkei 225 index futures the same?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 199-210.
    3. Nam, Seung Oh & Oh, SeungYoung & Kim, Hyun Kyung & Kim, Byung Chun, 2006. "An empirical analysis of the price discovery and the pricing bias in the KOSPI 200 stock index derivatives markets," International Review of Financial Analysis, Elsevier, vol. 15(4-5), pages 398-414.
    4. Canto, Bea & Kräussl, Roman, 2006. "Stock market interactions and the impact of macroeconomic news: Evidence from high frequency data of European futures markets," CFS Working Paper Series 2006/25, Center for Financial Studies (CFS).
    5. Yao, Can-Zhong & Lin, Qing-Wen, 2017. "The mutual causality analysis between the stock and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 188-204.
    6. repec:wsi:rpbfmp:v:20:y:2017:i:03:n:s0219091517500175 is not listed on IDEAS
    7. Kang, Sang Hoon & Cheong, Chongcheul & Yoon, Seong-Min, 2013. "Intraday volatility spillovers between spot and futures indices: Evidence from the Korean stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(8), pages 1795-1802.

    More about this item


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:apfiec:v:11:y:2001:i:4:p:385-393. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.