Allocative Efficiency and Traders’ Protection Under Zero Intelligence Behavior
Marco LiCalzi,
Lucia Milone () and
Paolo Pellizzari
Additional contact information
Lucia Milone: University of Venice
A chapter in Computational Methods in Economic Dynamics, 2011, pp 5-28 from Springer
Abstract:
Abstract This paper studies the continuous double auction from the point of view of market engineering: we tweak a resampling rule often used for this exchange protocol and search for an improved design. We assume zero intelligence trading as a lower bound for more robust behavioral rules and look at allocative efficiency, as well as three subordinate performance criteria: mean spread, cancellation rate, and traders’ protection. This latter notion measures the ability of a protocol to help traders capture their share of the competitive equilibrium profits. We consider two families of resampling rules and obtain the following results. Full resampling is not necessary to attain high allocative efficiency, but fine-tuning the resampling rate is important. The best allocative performances are similar across the two families. However, if the market designer adds any of the other three criteria as a subordinate goal, then a resampling rule based on a price band around the best quotes is superior.
Keywords: Equilibrium Price; Allocative Efficiency; Transaction Price; Market Designer; Cancellation Rate (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
Working Paper: Allocative efficiency and traders' protection under zero intelligence behavior (2009) 
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:dymchp:978-3-642-16943-4_2
Ordering information: This item can be ordered from
http://www.springer.com/9783642169434
DOI: 10.1007/978-3-642-16943-4_2
Access Statistics for this chapter
More chapters in Dynamic Modeling and Econometrics in Economics and Finance from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().