IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v19y2010i4p742-754.html
   My bibliography  Save this article

Trading platform, market volatility and pricing efficiency in the floor-traded and E-mini index futures markets

Author

Listed:
  • Chung, Huimin
  • Sheu, Her-Jiun
  • Hsu, Shufang

Abstract

This study examines the pricing efficiency of E-mini and floor-traded index futures under electronic versus open-outcry trading platforms. By using OLS and quantile regressions to control for changes in market characteristics, we find that pricing errors are smaller in the E-mini markets than the floor-traded markets, thereby confirming that electronic trading has special attractions for arbitrageurs and informed traders. However, during periods of higher volatility, the advantages of speedier execution, anonymity and information efficiency may be offset by arbitrage risks; as a result, larger pricing errors are observed in the E-mini markets. We provide new evidence confirming the important roles in pricing efficiency played by both traditional open-outcry systems and electronic trading systems.

Suggested Citation

  • Chung, Huimin & Sheu, Her-Jiun & Hsu, Shufang, 2010. "Trading platform, market volatility and pricing efficiency in the floor-traded and E-mini index futures markets," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 742-754, October.
  • Handle: RePEc:eee:reveco:v:19:y:2010:i:4:p:742-754
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059-0560(10)00035-3
    Download Restriction: Full text for ScienceDirect subscribers only

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

    References listed on IDEAS

    as
    1. De Long, J Bradford, et al, 1990. " Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    2. repec:hrv:faseco:33077905 is not listed on IDEAS
    3. Huang, Roger D. & Stoll, Hans R., 1996. "Dealer versus auction markets: A paired comparison of execution costs on NASDAQ and the NYSE," Journal of Financial Economics, Elsevier, vol. 41(3), pages 313-357, July.
    4. Barberis, Nicholas & Thaler, Richard, 2003. "A survey of behavioral finance," Handbook of the Economics of Finance,in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 18, pages 1053-1128 Elsevier.
    5. Jones, Charles M & Kaul, Gautam & Lipson, Marc L, 1994. "Transactions, Volume, and Volatility," Review of Financial Studies, Society for Financial Studies, vol. 7(4), pages 631-651.
    6. Fung, Joseph K.W. & Lien, Donald & Tse, Yiuman & Tse, Yiu Kuen, 2005. "Effects of electronic trading on the Hang Seng Index futures market," International Review of Economics & Finance, Elsevier, vol. 14(4), pages 415-425.
    7. Paul Kofman & James Moser, 1997. "Spreads, information flows and transparency across trading systems," Applied Financial Economics, Taylor & Francis Journals, vol. 7(3), pages 281-294.
    8. Richard Roll & Eduardo Schwartz & Avanidhar Subrahmanyam, 2007. "Liquidity and the Law of One Price: The Case of the Futures-Cash Basis," Journal of Finance, American Finance Association, vol. 62(5), pages 2201-2234, October.
    9. deB. Harris, Frederick H. & McInish, Thomas H. & Shoesmith, Gary L. & Wood, Robert A., 1995. "Cointegration, Error Correction, and Price Discovery on Informationally Linked Security Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(04), pages 563-579, December.
    10. Shleifer, Andrei & Summers, Lawrence H, 1990. "The Noise Trader Approach to Finance," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 19-33, Spring.
    11. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731.
    12. Shleifer, Andrei, 2000. "Inefficient Markets: An Introduction to Behavioral Finance," OUP Catalogue, Oxford University Press, number 9780198292272.
    13. Patricia Chelley-Steeley, 2005. "Noise and the Trading Mechanism: the Case of SETS," European Financial Management, European Financial Management Association, vol. 11(3), pages 387-424.
    14. Connolly, Robert A., 1989. "An Examination of the Robustness of the Weekend Effect," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(02), pages 133-169, June.
    15. Kurov, Alexander & Lasser, Dennis J., 2004. "Price Dynamics in the Regular and E-Mini Futures Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(02), pages 365-384, June.
    16. Shleifer, Andrei & Vishny, Robert W, 1997. " The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    17. Joel Hasbrouck, 2003. "Intraday Price Formation in U.S. Equity Index Markets," Journal of Finance, American Finance Association, vol. 58(6), pages 2375-2400, December.
    18. Parkinson, Michael, 1980. "The Extreme Value Method for Estimating the Variance of the Rate of Return," The Journal of Business, University of Chicago Press, vol. 53(1), pages 61-65, January.
    19. Robert Bloomfield & Maureen O'Hara & Gideon Saar, 2009. "How Noise Trading Affects Markets: An Experimental Analysis," Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2275-2302, June.
    20. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    21. Chung, Y Peter, 1991. " A Transactions Data Test of Stock Index Futures Market Efficiency and Index Arbitrage Profitability," Journal of Finance, American Finance Association, vol. 46(5), pages 1791-1809, December.
    22. Franke, Gunter & Hess, Dieter, 2000. "Information diffusion in electronic and floor trading," Journal of Empirical Finance, Elsevier, vol. 7(5), pages 455-478, December.
    23. Martens, Martin, 1998. "Price discovery in high and low volatility periods: open outcry versus electronic trading," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 8(3-4), pages 243-260, December.
    24. Barber, Brad M. & Odean, Terrance & Zhu, Ning, 2009. "Systematic noise," Journal of Financial Markets, Elsevier, vol. 12(4), pages 547-569, November.
    25. Black, Fischer, 1986. " Noise," Journal of Finance, American Finance Association, vol. 41(3), pages 529-543, July.
    26. Christopher L. Gilbert & Herbert A. Rijken, 2006. "How is Futures Trading Affected by the Move to a Computerized Trading System? Lessons from the LIFFE FTSE 100 Contract," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(7-8), pages 1267-1297.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Kao, Erin H. & Fung, Hung-Gay, 2012. "Intraday trading activities and volatility in round-the-clock futures markets," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 195-209.
    2. Wang, Yun-Yi & Chang, Chiung-Chiao & Lee, Wan-Chen, 2013. "Price discovery between regular and mini index futures in the Taiwan Futures Exchange," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 224-237.
    3. Vortelinos, Dimitrios I., 2016. "Incremental information of stock indicators," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 79-97.
    4. Muñoz, Fernando & Vargas, María & Vicente, Ruth, 2014. "Fund flow bias in market timing skill. Evidence of the clientele effect," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 257-269.
    5. Huang, Alex YiHou & Peng, Sheng-Pen & Li, Fangjhy & Ke, Ching-Jie, 2011. "Volatility forecasting of exchange rate by quantile regression," International Review of Economics & Finance, Elsevier, vol. 20(4), pages 591-606, October.

    Corrections

    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:eee:reveco:v:19:y:2010:i:4:p:742-754. 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: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.