WAITING TIMES IN SIMULATED STOCK MARKETS

Alessandro N. Cappellini () and Gianluigi Ferraris ()
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Alessandro N. Cappellini: ISI Foundation, Corso Settimio Severo 65, Torino, Italy
Gianluigi Ferraris: University of Torino, Corso Unione Sovietica 218, Torino, Italy

Advances in Complex Systems (ACS), 2009, vol. 12, issue 02, 195-206

Abstract: Exploiting a precise reproduction of a stock exchange, the robustness of the continuous double auction (CDA) mechanism, evaluated by means of the waiting time distributions, has been proved versus 36 different setups made by varying both the operators' behavior and the market micro structure. The obtained results demonstrate that the CDA remains able to clear strongly different order flows, although the Milan stock exchange seemed to be a little more efficient than the NYSE under the allocative point of view, evidencing the intrinsic complexity of the stock market. The simulation has been built as an agent-based model in order to obtain a plausible order flow. The decisions of single agents and their interaction through the market book are realistic and reproduce some empirical analysis results. The mentioned results have been obtained either by the analysis of the complete pending time series or the same computation of the asks and bids series alone.

Keywords: Waiting times; agent-based modeling; stock market; micro structures; market architectures (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1142/S021952590900212X

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