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Le trading algorithmique

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  • Victor Lebreton

    (CES)

Abstract

The algorithmic trading comes from digitalisation of the processing of trading assets on financial markets. Since 1980 the computerization of the stock market offers real time processing of financial information. This technological revolution has offered processes and mathematic methods to identify best return on transactions. Current research relates to autonomous transaction systems programmed in certain periods and some algorithms. This offers return opportunities where traders can not intervene. There are about thirty algorithms to assist the traders, the best known are the VWAP, the TWAP, TVOL. The algorithms offer the latest strategies and decision-making are the subject of much research. These advances in modeling decision-making autonomous agent can envisage a rich future for these technologies, the players already in use for more than 30% of their trading.

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  • Victor Lebreton, 2008. "Le trading algorithmique," Papers 0810.4000, arXiv.org, revised Mar 2009.
  • Handle: RePEc:arx:papers:0810.4000
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    References listed on IDEAS

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    1. Ian Domowitz & Jack Glen & Ananth Madhavan, 2001. "Liquidity, Volatility and Equity Trading Costs Across Countries and Over Time," International Finance, Wiley Blackwell, vol. 4(2), pages 221-255.
    2. Ferris, Stephen P. & McInish, Thomas H. & Wood, Robert A., 1997. "Automated trade execution and trading activity: The case of the Vancouver stock exchange," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 7(1), pages 61-72, April.
    3. M. A. H. dempster & C. M. Jones, 2001. "A real-time adaptive trading system using genetic programming," Quantitative Finance, Taylor & Francis Journals, vol. 1(4), pages 397-413.
    4. Domowitz, Ian, 1993. "A taxonomy of automated trade execution systems," Journal of International Money and Finance, Elsevier, vol. 12(6), pages 607-631, December.
    5. Harrison, J. Michael & Kreps, David M., 1979. "Martingales and arbitrage in multiperiod securities markets," Journal of Economic Theory, Elsevier, vol. 20(3), pages 381-408, June.
    6. Naidu, G. N. & Rozeff, Michael S., 1994. "Volume, volatility, liquidity and efficiency of the Singapore Stock Exchange before and after automation," Pacific-Basin Finance Journal, Elsevier, vol. 2(1), pages 23-42, March.
    7. Madhavan, Ananth & Porter, David & Weaver, Daniel, 2005. "Should securities markets be transparent?," Journal of Financial Markets, Elsevier, vol. 8(3), pages 265-287, August.
    8. Jean-Philippe Bouchaud & Marc Mezard & Marc Potters, 2002. "Statistical properties of stock order books: empirical results and models," Quantitative Finance, Taylor & Francis Journals, vol. 2(4), pages 251-256.
    9. L. Ingber & M.F. Wehner & G.M. Jabbour & T.M. Barnhill, 1991. "Application of statistical mechanics methodology to term-structure bond-pricing models," Lester Ingber Papers 91as, Lester Ingber.
    10. Ingber, Lester, 2000. "High-resolution path-integral development of financial options," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 283(3), pages 529-558.
    11. Hogan, Steve & Jarrow, Robert & Teo, Melvyn & Warachka, Mitch, 2004. "Testing market efficiency using statistical arbitrage with applications to momentum and value strategies," Journal of Financial Economics, Elsevier, vol. 73(3), pages 525-565, September.
    12. Brailsford, Timothy J. & Frino, Alex & Hodgson, Allan & West, Andrew, 1999. "Stock market automation and the transmission of information between spot and futures markets," Journal of Multinational Financial Management, Elsevier, vol. 9(3-4), pages 247-264, November.
    13. L. Ingber & B. Rosen, 1992. "Genetic algorithms and very fast simulated reannealing: A comparison," Lester Ingber Papers 92ga, Lester Ingber.
    14. Bollerslev, Tim & Domowitz, Ian & Wang, Jianxin, 1997. "Order flow and the bid-ask spread: An empirical probability model of screen-based trading," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1471-1491, June.
    15. Domowitz, Ian & Glen, Jack & Madhavan, Ananth, 2001. "Liquidity, Volatility and Equity Trading Costs across Countries and over Time," International Finance, Wiley Blackwell, vol. 4(2), pages 221-255, Summer.
    16. Domowitz, Ian & El-Gamal, Mahmoud A., 2001. "A consistent nonparametric test of ergodicity for time series with applications," Journal of Econometrics, Elsevier, vol. 102(2), pages 365-398, June.
    17. Mark Austin & Graham Bates & Michael Dempster & Vasco Leemans & Stacy Williams, 2004. "Adaptive systems for foreign exchange trading," Quantitative Finance, Taylor & Francis Journals, vol. 4(4), pages 37-45.
    18. Domowitz, Ian & Hansch, Oliver & Wang, Xiaoxin, 2005. "Liquidity commonality and return co-movement," Journal of Financial Markets, Elsevier, vol. 8(4), pages 351-376, November.
    19. Ogryczak, Wlodzimierz & Ruszczynski, Andrzej, 1999. "From stochastic dominance to mean-risk models: Semideviations as risk measures," European Journal of Operational Research, Elsevier, vol. 116(1), pages 33-50, July.
    20. Jean-Philippe Bouchaud & Marc Mezard & Marc Potters, 2002. "Statistical properties of stock order books: empirical results and models," Science & Finance (CFM) working paper archive 0203511, Science & Finance, Capital Fund Management.
    21. Domowitz, Ian, 1990. "The mechanics of automated trade execution systems," Journal of Financial Intermediation, Elsevier, vol. 1(2), pages 167-194, June.
    22. Xufre Casqueiro, Patricia & Rodrigues, Antonio J.L., 2006. "Neuro-dynamic trading methods," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1400-1412, December.
    23. Masters, Timothy, 1998. "Just what are we optimizing, anyway?," International Journal of Forecasting, Elsevier, vol. 14(2), pages 277-290, June.
    24. Coppejans, Mark & Domowitz, Ian, 1999. "Pricing behavior in an off-hours computerized market," Journal of Empirical Finance, Elsevier, vol. 6(5), pages 583-607, December.
    25. L. Ingber, 1996. "Statistical mechanics of nonlinear nonequilibrium financial markets: Applications to optimized trading," Lester Ingber Papers 96nf, Lester Ingber.
    26. Lester Ingber & Radu Paul Mondescu, 2000. "Optimization of Trading Physics Models of Markets," Papers physics/0007075, arXiv.org.
    27. Domowitz, Ian & Wang, Jianxin, 1994. "Auctions as algorithms : Computerized trade execution and price discovery," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 29-60, January.
    28. Andrzej Ruszczynski & Robert J. Vanderbei, 2003. "Frontiers of Stochastically Nondominated Portfolios," Econometrica, Econometric Society, vol. 71(4), pages 1287-1297, July.
    29. Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992. "Simple Technical Trading Rules and the Stochastic Properties of Stock Returns," Journal of Finance, American Finance Association, vol. 47(5), pages 1731-1764, December.
    30. Domowitz, Ian, 1995. "Electronic derivatives exchanges: Implicit mergers, network externalities, and standardization," The Quarterly Review of Economics and Finance, Elsevier, vol. 35(2), pages 163-175.
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