A multi-agent nonlinear Markov model of the order book
We introduce and treat rigorously a new multi-agent model of the order book (OB). Our model is designed to explain the collective behavior of the market when new information a?ecting the market arrives. Our model has two major features. First, it has two additional parameters which we call slow vari- ables. These parameters measure the mood of two groups of investors, namely, bulls and bears. Second, our model captures the interaction between trading agents and constitutes a nonlinear Markov process which exhibits long term cor- relations. We explain the intuition behind the equations and present numerical simulations which show that the behavior of our model is similar to the behavior of the real market.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Marco Avellaneda & Sasha Stoikov, 2008. "High-frequency trading in a limit order book," Quantitative Finance, Taylor & Francis Journals, vol. 8(3), pages 217-224.
- Ioanid Rosu, 2009. "A Dynamic Model of the Limit Order Book," Review of Financial Studies, Society for Financial Studies, vol. 22(11), pages 4601-4641, November.
- Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frederic Abergel, 2011. "Econophysics review: II. Agent-based models," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 1013-1041.
When requesting a correction, please mention this item's handle: RePEc:arx:papers:1208.3083. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (arXiv administrators)
If references are entirely missing, you can add them using this form.