Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/194723 
Year of Publication: 
2017
Citation: 
[Journal:] Cogent Economics & Finance [ISSN:] 2332-2039 [Volume:] 5 [Issue:] 1 [Publisher:] Taylor & Francis [Place:] Abingdon [Year:] 2017 [Pages:] 1-28
Publisher: 
Taylor & Francis, Abingdon
Abstract: 
In this paper, we develop and examine a simple interactive agent-based model, where the distribution of returns generated from the model takes into account two stylized facts about financial markets: fat tails and volatility clustering. Our results indicate that the risk tolerance of fundamentalists and the relative funding rate of positive-feedback traders versus fundamentalists are key factors determining the path of price fluctuations. Fundamentalists are more able to dominate the market when they are more willing than positive-feedback traders to take risks. In addition, more crises occur as positive-feedback traders face higher funding costs compared to fundamentalists. Our model suggests that fundamentalists cause heavier tails, and positive-feedback traders cause the formation of speculative bubbles. Our model also indicates that traders' attitudes toward risk vary across time and market. The generally low level of risk bearing by fundamentalists could explain the frequent occurrence of bubbles.
Subjects: 
noise traders
positive-feedback traders
fundamentalists
rational bubbles
speculative bubbles
wealth effect
heavy tails
JEL: 
D49
G10
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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