Adaptive Traders and the Design of Financial Markets
This paper studies a financial market populated by adaptive traders. Learning is modeled following Camerer and Ho (1999) . A call market and a Walrasian tatonnement are compared in an environment in which both institutions have the same Nash and competitive equilibrium outcomes. When traders learn via a belief-based model, equilibrium is discovered in both types of markets. In contrast, when traders learn via a reinforcement-based model, convergence to equilibrium is achieved in the Walrasian tatonnement but not in the call market. This paper suggests that market mechanisms can be designed to foster traders' learning of equilibrium strategies. Copyright 2007 by The American Finance Association.
If 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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 62 (2007)
Issue (Month): 6 (December)
|Contact details of provider:|| Web page: http://www.afajof.org/|
More information through EDIRC
|Order Information:||Web: http://www.afajof.org/membership/join.asp|