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Market impact and trading profile of large trading orders in stock markets

Esteban Moro, Javier Vicente, Luis G. Moyano, Austin Gerig, J. Farmer, Gabriella Vaglica, Fabrizio Lillo and Rosario Mantegna ()

Papers from arXiv.org

Abstract: We empirically study the market impact of trading orders. We are specifically interested in large trading orders that are executed incrementally, which we call hidden orders. These are reconstructed based on information about market member codes using data from the Spanish Stock Market and the London Stock Exchange. We find that market impact is strongly concave, approximately increasing as the square root of order size. Furthermore, as a given order is executed, the impact grows in time according to a power-law; after the order is finished, it reverts to a level of about 0.5-0.7 of its value at its peak. We observe that hidden orders are executed at a rate that more or less matches trading in the overall market, except for small deviations at the beginning and end of the order.

Date: 2009-08
New Economics Papers: this item is included in nep-fmk and nep-mst
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Citations: View citations in EconPapers (60)

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