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Efficiency in the Pricing of the FTSE 100 Futures Contract

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  • Joëlle Miffre

Abstract

This paper studies the pricing efficiency in the FTSE 100 futures contract by linking the predictable movements in futures returns to the time‐varying risk and risk premia associated with prespecified factors. The results indicate that the predictability of the FTSE 100 futures returns is consistent with a conditional multifactor model with time‐varying moments. The dynamics of the factor risk premia, combined with the variation in the betas, capture most of the predictable variance of returns, leaving little variation to be explained in terms of market inefficiency. Hence the predictive power of the instruments does not justify a rejection of market efficiency.

Suggested Citation

  • Joëlle Miffre, 2001. "Efficiency in the Pricing of the FTSE 100 Futures Contract," European Financial Management, European Financial Management Association, vol. 7(1), pages 9-22, March.
    • Handle: RePEc:bla:eufman:v:7:y:2001:i:1:p:9-22
    DOI: 10.1111/1468-036X.00142
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    Cited by:

    1. Manolis G. Kavussanos & Ilias D. Visvikis & Panayotis D. Alexakis, 2008. "The Lead‐Lag Relationship Between Cash and Stock Index Futures in a New Market," European Financial Management, European Financial Management Association, vol. 14(5), pages 1007-1025, November.
    2. Konstantinidi, Eirini & Skiadopoulos, George, 2011. "Are VIX futures prices predictable? An empirical investigation," International Journal of Forecasting, Elsevier, vol. 27(2), pages 543-560.
    3. J. L. Ford & Wee Ching Pok & S. Poshakwale, 2006. "The Predictability of KLSE CI Stock Index Futures Returns and The Conditional Multifactor APT Model," Discussion Papers 06-09, Department of Economics, University of Birmingham.
    4. Goulas, Lambros & Skiadopoulos, George, 2012. "Are freight futures markets efficient? Evidence from IMAREX," International Journal of Forecasting, Elsevier, vol. 28(3), pages 644-659.
    5. M. Deetz & T. Poddig & I. Sidorovitch & A. Varmaz, 2009. "An evaluation of conditional multi-factor models in active asset allocation strategies: an empirical study for the German stock market," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 23(3), pages 285-313, September.

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