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The impact of trading mechanisms and stock characteristics on order processing and information costs: A panel GMM approach

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  • Gerhard Kling

    (Utrecht School of Economics)

Abstract

My study provides a panel approach to quantify the impact of trading mechanisms and stock characteristics on spread components. Based on the two-way decomposition of Huang and Stoll (1997), a cross-sectional dimension is added. Arrelano and Bover's (1995) dynamic GMM procedure and the Helmert''s transformation allow controlling for company specific effects. In line with former research, I confirm higher order processing costs on the NASDAQ. My model identifies the reasons for higher information costs on dealer markets, namely lower market capitalization and less attention of financial analysts. Yet the trading mechanism itself is not responsible for higher information costs.

Suggested Citation

  • Gerhard Kling, 2005. "The impact of trading mechanisms and stock characteristics on order processing and information costs: A panel GMM approach," Economics Bulletin, AccessEcon, vol. 7(5), pages 1-11.
    • Handle: RePEc:ebl:ecbull:eb-05g10006
    as

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    References listed on IDEAS

    as
    1. 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.
    2. Harris, Larry, 2002. "Trading and Exchanges: Market Microstructure for Practitioners," OUP Catalogue, Oxford University Press, number 9780195144703.
    3. Copeland, Thomas E & Galai, Dan, 1983. "Information Effects on the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 38(5), pages 1457-1469, December.
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    5. Huang, Roger D & Stoll, Hans R, 1997. "The Components of the Bid-Ask Spread: A General Approach," The Review of Financial Studies, Society for Financial Studies, vol. 10(4), pages 995-1034.
    6. Robert Jennings, 1994. "Intraday Changes In Target Firms' Share Price And Bid-Ask Quotes Around Takeover Announcements," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 17(2), pages 255-270, June.
    7. Lee, Charles M C & Ready, Mark J, 1991. "Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-746, June.
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    9. George, Thomas J & Kaul, Gautam & Nimalendran, M, 1991. "Estimation of the Bid-Ask Spread and Its Components: A New Approach," The Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 623-656.
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    12. Bessembinder, Hendrik, 2003. "Issues in assessing trade execution costs," Journal of Financial Markets, Elsevier, vol. 6(3), pages 233-257, May.
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