Cappellini, Alessandro and Ferraris, Gianluigi (2007): Waiting Times in Simulated Stock Markets. Forthcoming in: Advance in Complex Systems
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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 set ups made by varying both the operators' behaviour and the market micro structure. The obtained results demonstrate that the CDA remains able to clear strongly different order flows, though the Milan stock exchange seemed to be a little more efficient than the NYSE under the allocative point of view, witnessing 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 and the same computation of the asks and bids series alone.
|Item Type:||MPRA Paper|
|Original Title:||Waiting Times in Simulated Stock Markets|
|Keywords:||Waiting times; Agent Based Modeling; Stock Market; Micro structures; Market Architectures|
|Subjects:||D - Microeconomics > D5 - General Equilibrium and Disequilibrium > D53 - Financial Markets
C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General
|Depositing User:||Alessandro Cappellini|
|Date Deposited:||25. Feb 2008 15:07|
|Last Modified:||18. Feb 2013 09:44|
G. Bottazzi, G. Dosi, and I. Rebesco. Institutional architectures and behavioral ecologies in the dynamics of financial markets. Journal of Mathematical Economics, 41(1-2):197–228, 2005. Alessandro Cappellini. Esperimenti su mercati finanziari con agenti naturali ed artificiali.Master’s thesis, Facolt di Economia, Torino, July 2003. Alessandro Cappellini. Avatar e simulazioni. Sistemi intelligenti, (1):45–58, Aprile 2005. Alessandro Cappellini. Heterogeneous approaches to financial markets. PhD thesis, University of Torino, Italy, November 2006. D. Challet and R. Stinchcombe. Analyzing and modeling 1+1d markets. Physica A: Statistical Mechanics and its Applications, 300:285–299, November 2001. J. Hasbrouck, G. Sofianos, D. Sosebee, and F. Director. New york stock exchange systems and trading procedures, 1993. C. Langton, N. Minar, and R. Burkhart. Swarm web site, 1995. http://wiki.swarm.org. Marco LiCalzi and Paolo Pellizzari. The allocative effectiveness of market protocols under intelligent trading. Working Papers 134, Department of Applied Mathematics, University of Venice, May 2006. L. Muchnik and S. Solomon. Markov nets and the natlab platform; application to continuous double auction. In M. Salzano and D. Colander, editors, Complexity Hints for Economic Policy. Springer-Verlag, Berlin, 2007. Pellizzari, P., Forno, A.D.: A comparison of different trading protocols in an agentbased market. Journal of Economic Interaction and Coordination 2(1) (2007) 27–43 Marco Raberto, Enrico Scalas, and Francesco Mainardi. Waiting-times and returns in high-frequency financial data: an empirical study. Physica A: Statistical Mechanics and its Applications, 314:749–755, November 2002 Enrico Scalas, Rudolf Gorenflo, Hugh Luckock, Francesco Mainardi, Maurizio Mantelli, and Marco Raberto. Anomalous waiting times in high-frequency financial data. Quantitative Finance, 4(6):695–702, December 2004. Enrico Scalas, Taisei Kaizoji, Michael Kirchler, Jrgen Huber, and Alessandra Tedeschi. Waiting times between orders and trades in double-auction markets. Physica A: Statistical Mechanics and its Applications, 366:463–471, July 2006. Pietro Terna. Cognitive agents behaving in a simple stock market structure. In F. Luna and A. Perrone, editors, Agent-Based Methods in Economics and Finance: Simulations in Swarm. Kluwer Academic, Dordrecht and London, 2000. Pietro Terna. Sum: a surprising (un)realistic market: Building a simple stock market structure with swarm. 2000. CEF 2000, Barcelona, June 5-8. L. Testfatsion. Agent-based computational economics. Technical Report 1, ISU Economics working Paper, 2003.