title: Market impact and trading profile of hidden orders in stock markets.
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 statistically 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.
authors.affiliation: Instituto de Ciencias Matemáticas, CSIC-UAM-UC3M-UCM, Madrid, Spain.
authors.forename: Esteban
authors.initials: E
authors.lastname: Moro
authors.forename: Javier
authors.initials: J
authors.lastname: Vicente
authors.forename: Luis G
authors.initials: LG
authors.lastname: Moyano
authors.forename: Austin
authors.initials: A
authors.lastname: Gerig
authors.forename: J Doyne
authors.initials: JD
authors.lastname: Farmer
authors.forename: Gabriella
authors.initials: G
authors.lastname: Vaglica
authors.forename: Fabrizio
authors.initials: F
authors.lastname: Lillo
authors.forename: Rosario N
authors.initials: RN
authors.lastname: Mantegna
mesh_terms: D000465:Algorithms; D005376:Financial Management; D006801:Humans; D007449:Investments; D008131:London; D015233:Models, Statistical; D015203:Reproducibility of Results; D012309:Risk-Taking; D013030:Spain