English

Microscopic Models for Long Ranged Volatility Correlations

Disordered Systems and Neural Networks 2009-11-07 v1 Statistical Mechanics Statistical Finance

Abstract

We propose a general interpretation for long-range correlation effects in the activity and volatility of financial markets. This interpretation is based on the fact that the choice between `active' and `inactive' strategies is subordinated to random-walk like processes. We numerically demonstrate our scenario in the framework of simplified market models, such as the Minority Game model with an inactive strategy, or a more sophisticated version that includes some price dynamics. We show that real market data can be surprisingly well accounted for by these simple models.

Keywords

Cite

@article{arxiv.cond-mat/0105076,
  title  = {Microscopic Models for Long Ranged Volatility Correlations},
  author = {Irene Giardina and Jean-Philippe Bouchaud and Marc Mézard},
  journal= {arXiv preprint arXiv:cond-mat/0105076},
  year   = {2009}
}

Comments

12 pages, 4 figures. Proceedings of the NATO Advanced Research Workshop "Application of Physics to Economic Modelling ", Praga (8-10 February 2001). To be published in Physica A