Title :
Chartists and Fundamentalists in an Agent Based Herding Model
Author :
Masmoudi, Souhir
Author_Institution :
CERGAM, Aix-Marseille Univ., Aix-en-Provence, France
Abstract :
Under an artificial asset market, we propose a model in which agents choose either a chartist or a fundamentalist forecasting rule and interact with each other. Agent´s anticipations of prices depend on the past performance of investment strategies. The interactions between these two trader types may generate cyclical dynamics. An alternative dominance of both trader types is observed in the market according to the relative success of the strategies. The magnitude of this dynamics is affected by the noise included in these rules. The population of the competing forecasting strategies also depends on the confidence of fundamentalists in the return to fundamentals and on the amount of trust in past price movement for chartists. Moreover such dynamics generate wide price fluctuations.
Keywords :
forecasting theory; investment; multi-agent systems; pricing; agent based herding model; artificial asset market; chartist rule; fundamentalist forecasting rule; investment strategies; price fluctuation; trader types; Computational modeling; Fluctuations; Forecasting; Investment; Noise; Sociology; Time series analysis; agent based model; forecasting strategies; herd behavior; interacting agents;
Conference_Titel :
Computer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International
Conference_Location :
Vasteras
DOI :
10.1109/COMPSACW.2014.77