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The Impact of Heterogeneous Trading Rules on the Limit Order Book and Order Flows

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  • Carl Chiarella
  • Giulia Iori
  • Josep Perello

Abstract

In this paper we develop a model of an order-driven market where traders set bids and asks and post market or limit orders according to exogenously fixed rules. Agents are assumed to have three components to the expectation of future asset returns, namely-fundamentalist, chartist and noise trader. Furthermore agents differ in the characteristics describing these components, such as time horizon, risk aversion and the weights given to the various components. The model developed here extends a great deal of earlier literature in that the order submissions of agents are determined by utility maximisation, rather than the mechanical unit order size that is commonly assumed. In this way the order flow is better related to the ongoing evolution of the market. For the given market structure we analyze the impact of the three components of the trading strategies on the statistical properties of prices and order flows and observe that it is the chartist strategy that is mainly responsible of the fat tails and clustering in the artificial price data generated by the model. The paper provides further evidence that large price changes are likely to be generated by the presence of large gaps in the book.

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File URL: http://arxiv.org/pdf/0711.3581
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Bibliographic Info

Paper provided by arXiv.org in its series Papers with number 0711.3581.

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Date of creation: Nov 2007
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Publication status: Published in Journal of Economic Dynamics and Control 33, 525 (2009)
Handle: RePEc:arx:papers:0711.3581

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Web page: http://arxiv.org/

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Citations

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Cited by:
  1. De Kamps, Marc & Ladley, Daniel & Simaitis, Aistis, 2014. "Heterogeneous beliefs in over-the-counter markets," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 50-68.
  2. Chia-Hsuan Yeh & Chun-Yi Yang, 2013. "Do price limits hurt the market?," Journal of Economic Interaction and Coordination, Springer, vol. 8(1), pages 125-153, April.
  3. Blake LeBaron & Ryuichi Yamamoto, 2008. "The Impact of Imitation on Long Memory in an Order-Driven Market," Eastern Economic Journal, Palgrave Macmillan, vol. 34(4), pages 504-517.
  4. Tedeschi, Gabriele & Iori, Giulia & Gallegati, Mauro, 2012. "Herding effects in order driven markets: The rise and fall of gurus," Journal of Economic Behavior & Organization, Elsevier, vol. 81(1), pages 82-96.
  5. Anufriev, Mikhail & Panchenko, Valentyn, 2009. "Asset prices, traders' behavior and market design," Journal of Economic Dynamics and Control, Elsevier, vol. 33(5), pages 1073-1090, May.
  6. Daniel Fricke & Thomas Lux, 2013. "The Effects of a Financial Transaction Tax in an Artificial Financial Market," Kiel Working Papers 1868, Kiel Institute for the World Economy.

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