An oTree-based flexible architecture for financial market experiments
Eric M. Aldrich,
Hasan Ali Demirci and
Kristian Lopez Vargas
Journal of Behavioral and Experimental Finance, 2020, vol. 25, issue C
Abstract:
This document presents an architecture for experiments in finance. The architecture builds on oTree, a modern platform for behavioral experiments, allowing for sophisticated economic environments, market institutions, and trader strategies. The system supports both continuous-and discrete-time markets, and allows for communication latencies at time resolutions of 10–20 ms. Such precise communication latencies facilitate the experimental study of high-frequency trading. The architecture also modularizes its main components, which makes the system flexible, portable, and scalable.
Keywords: Market design; Experimental finance; Algorithmic trading; Laboratory experiments; Economic software (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S2214635018302715
Related works:
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:eee:beexfi:v:25:y:2020:i:c:s2214635018302715
DOI: 10.1016/j.jbef.2019.03.007
Access Statistics for this article
Journal of Behavioral and Experimental Finance is currently edited by Michael Dowling and Jürgen Huber
More articles in Journal of Behavioral and Experimental Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().