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Minority games with finite score memory

By Damien Challet, Andrea De Martino, Matteo Marsili and Isaac Pérez Castillo

Abstract

We analyze grand-canonical minority games with infinite and finite score memory and different updating timescales (from ‘on-line’ games to ‘batch’ games) in detail with various complementary methods, both analytical and numerical. We focus on the emergence of ‘stylized facts’ and on the production of exploitable information, as well as on the dynamic behaviour of the models. We find that with finite score memory no agent can be frozen, and that all the current analytical methods fail to provide satisfactory explanation of the observed behaviours

Topics: HB, QA
Publisher: Warwick Business School, Financial Econometrics Research Centre
Year: 2004
OAI identifier: oai:wrap.warwick.ac.uk:1791

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Citations

  1. (2001). An introduction to high-frequency finance, doi
  2. (2004). Minority Games and beyond, doi
  3. (2000). Theory of financial risks, doi

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