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Fake News and Asset Price Dynamics
Mignot, Sarah; Pellizzari, Paolo; Westerhoff, Frank (2024): Fake News and Asset Price Dynamics, in: Bamberg: Otto-Friedrich-Universität, S. 351–379.
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Year of publication:
2024
Pages:
Source/Other editions:
Jahrbücher für Nationalökonomie und Statistik = Journal of economics and statistics, Berlin: De Gruyter Oldenbourg, 2024, Jg. 244, Nr. 4, S. 351–379, ISSN: 2366-049X
Year of first publication:
2024
Language:
English
Abstract:
We explore the impact of fake news on asset price dynamics within the asset-pricing model of Brock and Hommes (Brock, W. A., and C. H. Hommes. 1998. “Heterogeneous Beliefs and Routes to Chaos in a Simple Asset Pricing Model.” Journal of Economic Dynamics and Control 22 (8): 1235–74). By polluting the information landscape, fake news interferes with agents’ perception of the dividend process of the risky asset. Our analysis reveals that fake news decreases the steady-state price of the risky asset by making it even more risky. Moreover, fake news increases the market share of agents who use the destabilizing technical trading rule by rendering fundamental trading more difficult and costly. Instead of converging toward its steady state, the risky asset’s price may thus be subject to wild fluctuations. As it turns out, these fluctuations are concentrated below the risky asset’s steady-state price. We also show that fake news campaigns may allow certain agents to realize fraudulent profits.
Keywords: ; ; ; ;
asset price dynamics
fake news
chartists and fundamentalists
bounded rationality and learning
stability and bifurcation analysis
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Type:
Article
Activation date:
December 4, 2025
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https://fis.uni-bamberg.de/handle/uniba/112019