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Intra-Day Seasonality in Foreign Market Transactions

  • John Cotter

    (University College Dublin, Ireland)

  • Kevin Dowd

    (The University of Nottingham, UK)

This paper measures and compares the tail risks of limit and market orders using Extreme Value Theory. The analysis examines realised tail outcomes using the Dealing 2000-2 electronic broking system based on completed transactions rather than the more common analysis of indicative quotes. In general, limit and market orders exhibit broadly similar tail behaviour, but limit orders have significantly heavier tails and larger tail quantiles than market orders.

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File URL: http://www.ucd.ie/geary/static/publications/workingpapers/gearywp200745.pdf
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Paper provided by Geary Institute, University College Dublin in its series Working Papers with number 200745.

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Length: 16 pages
Date of creation: 24 Jun 2011
Date of revision:
Handle: RePEc:ucd:wpaper:2007/45
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  1. Harris, Lawrence & Hasbrouck, Joel, 1996. "Market vs. Limit Orders: The SuperDOT Evidence on Order Submission Strategy," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(02), pages 213-231, June.
  2. Longin, Francois M., 2000. "From value at risk to stress testing: The extreme value approach," Journal of Banking & Finance, Elsevier, vol. 24(7), pages 1097-1130, July.
  3. Michael A. Goldstein & Kenneth A. Kavajecz, . "Liquidity Provision during Circuit Breakers and Extreme Market Movements," Rodney L. White Center for Financial Research Working Papers 1-00, Wharton School Rodney L. White Center for Financial Research.
  4. Fishburn, Peter C, 1977. "Mean-Risk Analysis with Risk Associated with Below-Target Returns," American Economic Review, American Economic Association, vol. 67(2), pages 116-26, March.
  5. Jon Danielsson & Richard Payne, 1999. "Real Trading Patterns and Prices in Spot Foreign Exchange Markets," FMG Discussion Papers dp320, Financial Markets Group.
  6. Cotter, John & Dowd, Kevin, 2006. "Extreme spectral risk measures: An application to futures clearinghouse margin requirements," Journal of Banking & Finance, Elsevier, vol. 30(12), pages 3469-3485, December.
  7. Handa, Puneet & Schwartz, Robert A, 1996. " Limit Order Trading," Journal of Finance, American Finance Association, vol. 51(5), pages 1835-61, December.
  8. Cotter, John, 2004. "Varying the VaR for Unconditional and Conditional Environments," MPRA Paper 3483, University Library of Munich, Germany.
  9. Huisman, Ronald, et al, 2001. "Tail-Index Estimates in Small Samples," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 208-16, April.
  10. Martin D. D. Evans & Richard K. Lyons, 2002. "Order Flow and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 110(1), pages 170-180, February.
  11. Andersen T. G & Bollerslev T. & Diebold F. X & Labys P., 2001. "The Distribution of Realized Exchange Rate Volatility," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 42-55, March.
  12. de Haan, Laurens & Resnick, Sidney I. & Rootzén, Holger & de Vries, Casper G., 1989. "Extremal behaviour of solutions to a stochastic difference equation with applications to arch processes," Stochastic Processes and their Applications, Elsevier, vol. 32(2), pages 213-224, August.
  13. Mittnik, Stefan & Paolella, Marc S. & Rachev, Svetlozar T., 2000. "Diagnosing and treating the fat tails in financial returns data," Journal of Empirical Finance, Elsevier, vol. 7(3-4), pages 389-416, November.
  14. Koedijk, Kees G & Kool, Clemens J M, 1992. "Tail Estimates of East European Exchange Rates," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(1), pages 83-96, January.
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