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SETS, Arbitrage Activity, and Stock Price Dynamics

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Author Info

  • Nick Taylor

    (University of Warwick)

  • Dick van Dijk

    ()
    (Erasmus University Rotterdam)

  • Philip Hans Franses

    ()
    (Erasmus University Rotterdam)

  • André Lucas

    ()
    (Vrije Universiteit Amsterdam)

Abstract

This paper provides an empirical description of the relationshipbetween the trading system operated by a stockexchange and the transaction costs faced by heterogeneous investors who use the exchange. Therecent introduction ofSETS in the London Stock Exchange provides an excellent opportunity tostudy the impact of an electronic trading systemupon transaction costs and the time taken to carry out a trade. Using thecost-of-carry model of futures prices we estimate(non-linearly) the transaction costs and trade speeds faced by arbitragerswho take advantage of mispricing of FTSE100futures contracts relative to the spot prices of the stocks that make upthe FTSE100 stock index. We divide the sample periodinto pre-SETS and post-SETS sample periods and conduct a comparative studyof arbitrager behaviour under differenttrading systems. The results indicate that there has been a significantreduction in the level of transaction costs faced byarbitragers and in the degree of transaction cost heterogeneity since theintroduction of SETS. Finally, generalised impulseresponse functions show that both spot and futures prices adjust morequickly in the post-SETS period.

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Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 99-003/4.

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Date of creation: 12 Feb 1999
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Handle: RePEc:dgr:uvatin:19990003

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References

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  1. Anderson, Heather M, 1997. "Transaction Costs and Non-linear Adjustment towards Equilibrium in the US Treasury Bill Market," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 465-84, November.
  2. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
  3. Martin Martens & Paul Kofman & Ton C. F. Vorst, 1998. "A threshold error-correction model for intraday futures and index returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(3), pages 245-263.
  4. anonymous, 1998. "Taste of success," Banking and Community Perspectives, Federal Reserve Bank of Dallas, issue 4, pages 1-2.
  5. Gerald P. Dwyer, Jr. & Peter Locke & Wei Yu, 1995. "Index arbitrage and nonlinear dynamics between the S&P 500 futures and cash," Working Paper 95-17, Federal Reserve Bank of Atlanta.
  6. Brennan, Michael J & Schwartz, Eduardo S, 1990. "Arbitrage in Stock Index Futures," The Journal of Business, University of Chicago Press, vol. 63(1), pages S7-31, January.
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Citations

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Cited by:
  1. Gaul, Jürgen & Theissen, Erik, 2008. "A partially linear approach to modelling the dynamics of spot and futures prices," CFS Working Paper Series 2008/12, Center for Financial Studies (CFS).
  2. Assaf, Ata, 2006. "The stochastic volatility in mean model and automation: Evidence from TSE," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 241-253, May.
  3. 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).
  4. Andreas Andrikopoulos & Timotheos Angelidis, 2008. "Idiosyncratic risk, returns and liquidity in the London Stock Exchange: a spillover approach," Working Papers 0017, University of Peloponnese, Department of Economics.
  5. David A. Peel & Ioannis A. Venetis, 2005. "Smooth Transition Models and Arbitrage Consistency," Economica, London School of Economics and Political Science, vol. 72(3), pages 413-430, 08.
  6. Patricia Chelley-Steeley & Antonios Siganos, 2005. "Momentum Profits in Alternative Stock Market Structures," Money Macro and Finance (MMF) Research Group Conference 2005 63, Money Macro and Finance Research Group.
  7. Stephen Norman, 2009. "Testing for a unit root against ESTAR nonlinearity with a delay parameter greater than one," Economics Bulletin, AccessEcon, vol. 29(3), pages 2152-2173.
  8. Joseph K.W. Fung & Philip Yu, 2007. "Order Imbalance and the Dynamics of Index and Futures Prices," Working Papers 072007, Hong Kong Institute for Monetary Research.
  9. Pavlidis Efthymios G & Paya Ivan & Peel David A, 2010. "Specifying Smooth Transition Regression Models in the Presence of Conditional Heteroskedasticity of Unknown Form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-40, May.
  10. Tse, Yiuman & Xiang, Ju, 2005. "Market quality and price discovery: Introduction of the E-mini energy futures," Global Finance Journal, Elsevier, vol. 16(2), pages 164-179, December.
  11. Taylor, Nicholas, 2004. "Trading intensity, volatility, and arbitrage activity," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 1137-1162, May.
  12. Juan A. Lafuente & Manuel Illueca Muñoz, 2003. "The Effect Of Futures Trading Activity On The Distribution Of Spot Market Returns," Working Papers. Serie EC 2003-23, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  13. Lekkos, Ilias & Milas, Costas, 2004. "Time-varying excess returns on UK government bonds: A non-linear approach," Journal of Banking & Finance, Elsevier, vol. 28(1), pages 45-62, January.
  14. Gerard Gannon & Chi-Ying Chang, 2007. "Regulatory Change and Micro Structure Effects in SPI Futures," Accounting, Finance, Financial Planning and Insurance Series 2007_08, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.

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