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Order Aggressiveness and Quantity: How Are They Determined in a Limit Order Market?

  • Ingrid Lo
  • Stephen G. Sapp
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    Dealers trading in a limit order market must choose both the order aggressiveness and the quantity for their orders. We empirically investigate how dealers jointly make these decisions in the foreign exchange market using a unique simultaneous equations model. The model uses an ordered probit model to account for the discrete nature of order aggressiveness and a censored regression model to capture the clustering of orders placed at the smallest available quantity, $1 million. We find evidence of a clear trade-off between order aggressiveness and quantity: more aggressive orders tend to be smaller in size. The increased competition (demand) suggested by increased depth on the same (opposite) side of the market leads to less (more) aggressive orders in smaller (larger) size. This holds for the depths at both the best and off-best prices, even though off-best depths are not observable to dealers.

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    File URL: http://www.bankofcanada.ca/wp-content/uploads/2010/03/wp07-23.pdf
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    Paper provided by Bank of Canada in its series Working Papers with number 07-23.

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    Length: 46 pages
    Date of creation: 2007
    Date of revision:
    Handle: RePEc:bca:bocawp:07-23
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    1. Martin D. D. Evans, 2001. "FX Trading and Exchange Rate Dynamics," NBER Working Papers 8116, National Bureau of Economic Research, Inc.
    2. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November.
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    5. Foucault, Thierry, 1999. "Order flow composition and trading costs in a dynamic limit order market1," Journal of Financial Markets, Elsevier, vol. 2(2), pages 99-134, May.
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    7. Andrew Ellul, 2003. "A Comprehensive Test of Order Choice Theory:Recent Evidence from the NYSE," FMG Discussion Papers dp471, Financial Markets Group.
    8. Michael J. Sager & Mark P. Taylor, 2006. "Under the microscope: the structure of the foreign exchange market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 81-95.
    9. Kumar, Praveen & Seppi, Duane J, 1992. " Futures Manipulation with "Cash Settlement."," Journal of Finance, American Finance Association, vol. 47(4), pages 1485-502, September.
    10. Glosten, Lawrence R, 1994. " Is the Electronic Open Limit Order Book Inevitable?," Journal of Finance, American Finance Association, vol. 49(4), pages 1127-61, September.
    11. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June.
    12. Robert F. Engle, 2000. "The Econometrics of Ultra-High Frequency Data," Econometrica, Econometric Society, vol. 68(1), pages 1-22, January.
    13. Viswanathan, S. & Wang, James J. D., 2002. "Market architecture: limit-order books versus dealership markets," Journal of Financial Markets, Elsevier, vol. 5(2), pages 127-167, April.
    14. Easley, David & O'Hara, Maureen, 1992. " Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
    15. Glosten, Lawrence R, 1987. " Components of the Bid-Ask Spread and the Statistical Properties of Transaction Prices," Journal of Finance, American Finance Association, vol. 42(5), pages 1293-1307, December.
    16. Handa, Puneet & Schwartz, Robert A, 1996. " Limit Order Trading," Journal of Finance, American Finance Association, vol. 51(5), pages 1835-61, December.
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