Experiments on Percolation of Information in Dark Markets

Elena Asparouhova and Peter Bossaerts

Economic Journal, 2017, vol. 127, issue 605, F518-F544

Abstract: In dark markets, order submissions are bilateral, and transaction prices are known only to the trading counterparties. Here, we study to what extent the information aggregation theory proposed by Duffie and collaborators predicts outcomes in a laboratory version of such markets. We find that prices aggregate the available information but not in the strict sense of the theory, where prices converge exponentially fast to average private signals. Prices instead fluctuate within bands around this average. The band widths reflect, in the best case, the precision of the average signal and, otherwise, the precision of a single private signal.

Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://doi.org/10.1111/ecoj.12464

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:wly:econjl:v:127:y:2017:i:605:p:f518-f544

Ordering information: This journal article can be ordered from
http://onlinelibrary ... 1111/(ISSN)1468-0297

Access Statistics for this article

Economic Journal is currently edited by Estelle Cantillon, Martin Cripps, Andrea Galeotti, Morten Ravn, Kjell G. Salvanes, Frederic Vermeulen, Hans-Joachim Voth and Rachel Kranton

More articles in Economic Journal from Royal Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().