Efficiency of continuous double auctions under individual evolutionary learning with full or limited information
Mikhail Anufriev,
Jasmina Arifovic,
John Ledyard and
Valentyn Panchenko
Journal of Evolutionary Economics, 2013, vol. 23, issue 3, 539-573
Abstract:
In this paper we explore how specific aspects of market transparency and agents’ behavior affect the efficiency of the market outcome. In particular, we are interested whether learning behavior with and without information about actions of other participants improves market efficiency. We consider a simple market for a homogeneous good populated by buyers and sellers. The valuations of the buyers and the costs of the sellers are given exogenously. Agents are involved in consecutive trading sessions, which are organized as a continuous double auction with order book. Using Individual Evolutionary Learning agents submit price bids and offers, trying to learn the most profitable strategy by looking at their realized and counterfactual or “foregone” payoffs. We find that learning outcomes heavily depend on information treatments. Under full information about actions of others, agents’ orders tend to be similar, while under limited information agents tend to submit their valuations/costs. This behavioral outcome results in higher price volatility for the latter treatment. We also find that learning improves allocative efficiency when compared to outcomes with Zero-Intelligent traders. Copyright The Author(s) 2013
Keywords: Allocative efficiency; Continuous double auction; Individual evolutionary learning; D83; C63; D44 (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (18)
Downloads: (external link)
http://hdl.handle.net/10.1007/s00191-011-0230-8 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Efficiency of Continuous Double Auctions under Individual Evolutionary Learning with Full or Limited Information (2010) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joevec:v:23:y:2013:i:3:p:539-573
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/191/PS2
DOI: 10.1007/s00191-011-0230-8
Access Statistics for this article
Journal of Evolutionary Economics is currently edited by Uwe Cantner, Elias Dinopoulos, Horst Hanusch and Luigi Orsenigo
More articles in Journal of Evolutionary Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().