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Network structure and N-dependence in agent-based herding models

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Author Info
Alfarano, Simone
Milakovic, Mishael

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Abstract

We derive microscopic foundations for a well-known probabilistic herding model in the agent-based finance literature. While the model is quite robust with respect to behavioral heterogeneity, the network structure describing the very feasibility of agent interaction turns out to have a crucial and non-trivial impact on the macroscopic properties of the model.

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File URL: http://www.sciencedirect.com/science/article/B6V85-4SKB38Y-2/2/893d305e345dfa6c278b9398abdf5515
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Publisher Info
Article provided by Elsevier in its journal Journal of Economic Dynamics and Control.

Volume (Year): 33 (2009)
Issue (Month): 1 (January)
Pages: 78-92
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Handle: RePEc:eee:dyncon:v:33:y:2009:i:1:p:78-92

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Related research
Keywords: CO2 D84 D85 G19 Herding Networks Mean-field approach N-dependence;

Cited by:
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  1. Gunter M. Sch\"utz & Fernando Pigeard de Almeida Prado & Rosemary J. Harris & Vladimir Belitsky, 2007. "Short-time behaviour of demand and price viewed through an exactly solvable model for heterogeneous interacting market agents," Quantitative Finance Papers 0801.0003, arXiv.org, revised Jun 2009. [Downloadable!]
  2. Simone Alfarano & Thomas Lux & Mishael Milakovic, 2008. "The Small Core of the German Corporate Board Network," Kiel Working Papers 1446, Kiel Institute for the World Economy. [Downloadable!]
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This page was last updated on 2009-12-5.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.