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Bifurcation routes to volatility clustering under evolutionary learning Author info | Abstract | Publisher info | Download info | Related research | Statistics Gaunersdorfer, Andrea
Hommes, Cars H.
Wagener, Florian O.O.
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registered author(s):
A simple asset pricing model with two types of boundedly rational traders, fundamentalists and chartists, is studied. Fractions of trader types change over time according to evolutionary learning, with chartists conditioning their forecasting rule upon deviations from a benchmark fundamental. Volatility clustering arises endogenously and two generic mechanisms are proposed as an explanation: (1) coexistence of a stable steady state and a stable limit cycle, due to a so-called Chenciner bifurcation of the system and (2) intermittency and associated bifurcation routes to strange attractors. Economic intuition as to why these phenomena arise in nonlinear multi-agent evolutionary systems is provided.
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Article provided by Elsevier in its journal Journal of Economic Behavior & Organization .
Volume (Year): 67 (2008)
Issue (Month): 1 (July)
Pages: 27-47
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Handle: RePEc:eee:jeborg:v:67:y:2008:i:1:p:27-47Contact details of provider: Web page: http://www.elsevier.com/locate/jebo
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Orlando Gomes, .
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"A Behavioural Asset Pricing Model with a Time-Varying Second Moment ,"
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141, Quantitative Finance Research Centre, University of Technology, Sydney.
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Gaunersdorfer, A. & Hommes, C.H.,, 2005.
"A nonlinear structural model for volatility clustering ,"
CeNDEF Working Papers
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