Dynamical analysis of a financial market with fundamentalists, chartists, and imitators
Serena Brianzoni and
Giovanni Campisi
Chaos, Solitons & Fractals, 2020, vol. 130, issue C
Abstract:
The aim of the paper is to understand the price dynamics generated by the interaction of traders relying on heterogeneous expectations in an asset pricing model. In the present work we propose a financial market populated by three types of agents – fundamentalists, chartists and imitators. The latter submit buying/selling orders according to different trading rules using a 2D Piecewise Linear (PWL) discontinuous map. Our contribution to the existing financial literature is twofold. First, we perform an analytical study of the model involving a 2D PWL discontinuous map, where mainly numerical results are provided by researchers, besides few exceptions. In particular, we investigate the bifurcations showed by the model and the large variety of dynamical behavior produced. Finally, we provide numerical simulations in order to highlight the interaction between traders with heterogeneous expectations that can lead to intricate bull and bear price dynamics.
Keywords: Imitators; Border collision bifurcations; Center bifurcation; Numerical simulations (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077919303807
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:130:y:2020:i:c:s0960077919303807
DOI: 10.1016/j.chaos.2019.109434
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().