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Spread decomposition with common spread components

  • Thomas Henker
  • Martin Martens
Registered author(s):

    Purpose – This paper aims to incorporate a market wide buying and selling pressure cost component into a spread decomposition model as spread cost component. Design/methodology/approach – The paper extends a commonly used trade indicator spread decomposition model to include a component common to all stocks of a specialist firm and a market wide component common to all stocks. Findings – Strong evidence is found that specialists consider this common factor cost component when they set bid and ask quotes. Some specialist firms also take the next logical step and specifically manage their firm wide stock inventories. The common factor is in percentage terms largest for securities with the highest trade frequencies. Research limitations/implications – The relative importance of the common factor spread component decreases as the pricing grid becomes finer, but remains highly significant under the decimal trading regime. Originality/value – This is the first study to document not-security-specific spread cost components that are common to all stocks for which a specialist firm makes markets and to all stocks in the market. Using the model it is shown that market wide uncertainty translates into spreads of individual securities.

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    File URL: http://www.emeraldinsight.com/journals.htm?issn=1743-9132&volume=6&issue=2&articleid=1852682&show=abstract
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    Article provided by Emerald Group Publishing in its journal International Journal of Managerial Finance.

    Volume (Year): 6 (2010)
    Issue (Month): 2 (April)
    Pages: 88-115

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    Handle: RePEc:eme:ijmfpp:v:6:y:2010:i:2:p:88-115
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    1. Ananth Madhavan & Matthew Richardson & Mark Roomans, . "Why Do Security Prices Change? A Transaction-Level Analysis of NYSE Stocks," Rodney L. White Center for Financial Research Working Papers 20-94, Wharton School Rodney L. White Center for Financial Research.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
    3. Thomas Ho & Hans Stoll, . "Optimal Dealer Pricing Under Transactions and Return Uncertainty," Rodney L. White Center for Financial Research Working Papers 27-79, Wharton School Rodney L. White Center for Financial Research.
    4. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    5. Ho, Thomas S Y & Stoll, Hans R, 1983. " The Dynamics of Dealer Markets under Competition," Journal of Finance, American Finance Association, vol. 38(4), pages 1053-74, September.
    6. Clifford A. Ball, 2001. "True Spreads and Equilibrium Prices," Journal of Finance, American Finance Association, vol. 56(5), pages 1801-1835, October.
    7. David Easley & Soeren Hvidkjaer & Maureen O'Hara, 2002. "Is Information Risk a Determinant of Asset Returns?," Journal of Finance, American Finance Association, vol. 57(5), pages 2185-2221, October.
    8. Henker, Thomas & Wang, Jian-Xin, 2006. "On the importance of timing specifications in market microstructure research," Journal of Financial Markets, Elsevier, vol. 9(2), pages 162-179, May.
    9. Madhavan, Ananth & Sofianos, George, 1998. "An empirical analysis of NYSE specialist trading," Journal of Financial Economics, Elsevier, vol. 48(2), pages 189-210, May.
    10. Coughenour, Jay F. & Saad, Mohsen M., 2004. "Common market makers and commonality in liquidity," Journal of Financial Economics, Elsevier, vol. 73(1), pages 37-69, July.
    11. George, Thomas J & Kaul, Gautam & Nimalendran, M, 1991. "Estimation of the Bid-Ask Spread and Its Components: A New Approach," Review of Financial Studies, Society for Financial Studies, vol. 4(4), pages 623-56.
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