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Number of results
2015 | 127 | 3A | A-108-A-112

Article title

Hierarchical Cont-Bouchaud Model

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EN

Abstracts

EN
We extend the well-known Cont-Bouchaud model to include a hierarchical topology of agent's interactions. The influence of hierarchy on system dynamics is investigated by two models. The first one is based on a multi-level, nested Erdős-Rényi random graph and individual decisions by agents according to Potts dynamics. This approach does not lead to a broad return distribution outside a parameter regime close to the original Cont-Bouchaud model. In the second model we introduce a limited hierarchical Erdős-Rényi graph, where merging of clusters at a level h+1 involves only clusters that have merged at the previous level h and we use the original Cont-Bouchaud agent dynamics on resulting clusters. The second model leads to a heavy-tail distribution of cluster sizes and relative price changes in a wide range of connection densities, not only close to the percolation threshold.

Keywords

Contributors

author
  • Center of Excellence for Complex Systems Research, Faculty of Physics, Warsaw University of Technology, Koszykowa 75, PL-00662 Warsaw, Poland
author
  • Center of Excellence for Complex Systems Research, Faculty of Physics, Warsaw University of Technology, Koszykowa 75, PL-00662 Warsaw, Poland
author
  • Center of Excellence for Complex Systems Research, Faculty of Physics, Warsaw University of Technology, Koszykowa 75, PL-00662 Warsaw, Poland
  • ITMO University, 19, Kronverkskiy av., 197101 Saint Petersburg, Russia

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Document Type

Publication order reference

YADDA identifier

bwmeta1.element.bwnjournal-article-appv127n3a19kz
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