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The Effect of Futures Trading on Cash Market Volatility: Evidence from the London Stock Exchange

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  • Gary Robinson

Abstract

The stock market crash of October 1987 and the growing importance of index arbitrage and portfolio insurance helped to focus the attention of academics, practitioners and regulators on the possibly destabilising role of equity index futures on the underlying cash market. Although theoretical evidence on this question is somewhat ambiguous, empirical evidence, relating particularly to US markets, has been less equivocal: typically, no significant effect of futures trading has been found. This paper presents an analysis of daily stock price volatility on the London Stock Exchange for the period 1980-93. The measure of volatility produced is appropriate, given the distribution of returns and the time-varying nature of stock price volatility, and changes in monetary policy regime. The impact of futures on stock price volatility is measured within an augmented ARCH framework and the principal result is striking: rather than increasing volatility, index futures contracts are found to have reduced volatility significantly by around 17%.

Suggested Citation

  • Gary Robinson, 1993. "The Effect of Futures Trading on Cash Market Volatility: Evidence from the London Stock Exchange," Bank of England working papers 19, Bank of England.
  • Handle: RePEc:boe:boeewp:19
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    File URL: http://www.bankofengland.co.uk/archive/Documents/historicpubs/workingpapers/1993/wp19.pdf
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    References listed on IDEAS

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    1. Lockwood, Larry J & Linn, Scott C, 1990. "An Examination of Stock Market Return Volatility during Overnight and Intraday Periods, 1964-1989," Journal of Finance, American Finance Association, vol. 45(2), pages 591-601, June.
    2. Pesaran, B & Robinson, G, 1993. "The European Exchange Rate Mechanism and the Volatility of the Sterling-Deutschemark Exchange Rate," Economic Journal, Royal Economic Society, vol. 103(421), pages 1418-1431, November.
    3. Hall, Joyce A. & Brorsen, B. Wade & Irwin, Scott H., 1989. "The Distribution of Futures Prices: A Test of the Stable Paretian and Mixture of Normals Hypotheses," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(1), pages 105-116, March.
    4. B. Wade Brorsen, 1991. "Futures trading, transaction costs, and stock market volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(2), pages 153-163, April.
    5. Bessembinder, Hendrik & Seguin, Paul J, 1992. "Futures-Trading Activity and Stock Price Volatility," Journal of Finance, American Finance Association, vol. 47(5), pages 2015-2034, December.
    6. Cutler, David M & Poterba, James M & Summers, Lawrence H, 1990. "Speculative Dynamics and the Role of Feedback Traders," American Economic Review, American Economic Association, vol. 80(2), pages 63-68, May.
    7. Turnovsky, Stephen J, 1983. "The Determination of Spot and Futures Prices with Storable Commodities," Econometrica, Econometric Society, vol. 51(5), pages 1363-1387, September.
    8. Subrahmanyam, Avanidhar, 1991. "A Theory of Trading in Stock Index Futures," Review of Financial Studies, Society for Financial Studies, vol. 4(1), pages 17-51.
    9. Francis E. Laatsch, 1991. "A note on the effects of the initiation of major market index futures on the daily returns of the component stocks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(3), pages 313-317, June.
    10. Francis X. Diebold, 1986. "Temporal aggregation of ARCH processes and the distribution of asset returns," Special Studies Papers 200, Board of Governors of the Federal Reserve System (U.S.).
    11. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    12. Kawai, Masahiro, 1983. "Price Volatility of Storable Commodities under Rational Expectations in Spot and Futures Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 24(2), pages 435-459, June.
    13. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-547, August.
    14. Engle, Robert F & Lilien, David M & Robins, Russell P, 1987. "Estimating Time Varying Risk Premia in the Term Structure: The Arch-M Model," Econometrica, Econometric Society, vol. 55(2), pages 391-407, March.
    15. Brad Baldauf & G. J. Santoni, 1991. "Stock price volatility: Some evidence from an ARCH model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(2), pages 191-200, April.
    16. G. J. Santoni, 1987. "Has programmed trading made stock prices more volatile?," Review, Federal Reserve Bank of St. Louis, issue May, pages 18-29.
    17. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. Leonardo Becchetti & Andrea Caggese, 2000. "Effects of index option introduction on stock index volatility: a procedure for empirical testing based on SSC-GARCH models," Applied Financial Economics, Taylor & Francis Journals, vol. 10(3), pages 323-341.

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