Potters, Marc; Bouchaud, Jean-Philippe More statistical properties of order books and price impact. (English) Zbl 1072.91561 Physica A 324, No. 1-2, 133-140 (2003). Summary: We investigate present some new statistical properties of order books. We analyse data from the Nasdaq and investigate (a) the statistics of incoming limit order prices, (b) the shape of the average order book, and (c) the typical life time of a limit order as a function of the distance from the best price. We also determine the ‘price impact’ function using French and British stocks, and find a logarithmic, rather than a power-law, dependence of the price response on the volume. The weak time dependence of the response function shows that the impact is, surprisingly, quasi-permanent, and suggests that trading itself is interpreted by the market as new information. Cited in 52 Documents MSC: 91B24 Microeconomic theory (price theory and economic markets) 91B82 Statistical methods; economic indices and measures Keywords:incoming limitorder prices; limit-order life time; price impact function PDF BibTeX XML Cite \textit{M. Potters} and \textit{J.-P. Bouchaud}, Physica A 324, No. 1--2, 133--140 (2003; Zbl 1072.91561) Full Text: DOI arXiv References: [1] Cont, R., Empirical properties of asset returnsstylized facts and statistical issues, Quantitative Finance, 1, 223 (2001), and references therein · Zbl 1408.62174 [2] Mantegna, R.; Stanley, H. E., An Introduction to Econophysics (1999), Cambridge University Press: Cambridge University Press Cambridge [3] Bouchaud, J.-P.; Potters, M., Théorie des Risques Financiers, Aléa-Saclay, 1997; Theory of Financial Risks (2000), Cambridge University Press: Cambridge University Press Cambridge [4] Biais, B.; Hilton, P.; Spatt, C., An empirical analysis of the limit order book and the order flow in the Paris Bourse, J. Finance, 50, 1655 (1995) [5] Maslov, S.; Millis, M., Price fluctuations from the order book perspective—empirical facts and a simple model, Physica A, 299, 234 (2001) · Zbl 0974.91505 [6] Challet, D.; Stinchcombe, R., Analyzing and modelling 1+1d markets, Physica A, 300, 285 (2001) · Zbl 0974.91507 [8] Bouchaud, J. P.; Mézard, M.; Potters, M., Statistical properties of stock order booksempirical results and models, Quantitative Finance, 2, 251 (2002) · Zbl 1408.62172 [9] Bak, P.; Paczuski, M.; Shubik, M., Price variations in a stock market with many agents, Physica A, 246, 430 (1997) [12] Slanina, F., Mean-field approximation for a limit order driven market model, Phys. Rev. E, 64, 056136 (2001) [15] Willmann, R. D.; Schuetz, G. M.; Challet, D., Exact Hurst exponent and crossover behavior in a limit order market model, Physica A, 316, 430-440 (2003) · Zbl 1001.91038 [16] Beja, A.; Goldman, M. B., The dynamic behavior of prices in disequilibrium, J. Finance, 35, 235 (1980) [17] Bouchaud, J.-P.; Cont, R., A Langevin approach to stock market fluctuations and crashes, Eur. J. Phys. B, 6, 543 (1998) [18] Farmer, J. D., Market Force, Ecology and Evolution, Int. J. Theor. Appl. Fin., 3, 425 (2000), e-print adap-org/9812005 [20] Kempf, A.; Korn, O., Market Depth and Order Size, J. Financial Markets, 2, 29 (1999) [23] Zhang, Y. C., Towards a Theory of Marginally Efficient Markets, Physica A, 269, 30 (1999) This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.