Gradual Information Diffusion and Asset Price Momentum
AbstractGradual information diffusion model predicts that as private information travels across the population, pricing accuracy would improve and asset prices would exhibit momentum as a result. In laboratory markets I investigate the market’s aggregation capacity in response to varying proportions of informed traders as a consequence of information diffusion. The results demonstrate that pricing errors are high when private information is dispersed and that, as the information spreads, the market gradually revise the errors and manifest momentum. Analysis suggests that aggregation under dispersed information conditions is hampered by three factors: equilibrium multiplicity, slow arrival of myopic traders, and anonymous trading.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Chapman University, Economic Science Institute in its series Working Papers with number 10-04.
Length: 45 pages
Date of creation: Jan 2010
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-05-29 (All new papers)
- NEP-CTA-2010-05-29 (Contract Theory & Applications)
- NEP-MST-2010-05-29 (Market Microstructure)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Megan Luetje).
If references are entirely missing, you can add them using this form.