Market fragmentation and market consolidation: Multiple steady states in systems of adaptive traders choosing where to trade

dc.citation.issue6
dc.citation.rankM21
dc.citation.spage062309
dc.citation.volume99
dc.contributor.authorAlorić, Aleksandra
dc.contributor.authorSollich, Peter
dc.date.accessioned2024-06-25T11:05:35Z
dc.date.available2024-06-25T11:05:35Z
dc.date.issued2019-06-21
dc.description.abstractTechnological progress is leading to proliferation and diversification of trading venues, thus increasing the relevance of the long-standing question of market fragmentation versus consolidation. To address this issue quantitatively, we analyze systems of adaptive traders that choose where to trade based on their previous experience. We demonstrate that only based on aggregate parameters about trading venues, such as the demand-to-supply ratio, we can assess whether a population of traders will prefer fragmentation or specialization towards a single venue. We investigate what conditions lead to market fragmentation for populations with a long memory and analyze the stability and other properties of both fragmented and consolidated steady states. Finally, we investigate the dynamics of populations with finite memory; when this memory is long the true long-time steady states are consolidated but fragmented states are strongly metastable, dominating the behavior out to long times.
dc.identifier.doi10.1103/physreve.99.062309
dc.identifier.issn2470-0045
dc.identifier.issn2470-0053
dc.identifier.scopus2-s2.0-85068417592
dc.identifier.urihttps://pub.ipb.ac.rs/handle/123456789/139
dc.identifier.wos000473029500005
dc.language.isoen
dc.publisherAmerican Physical Society (APS)
dc.relation.ispartofPhysical Review E
dc.relation.ispartofabbrPhys. Rev. E
dc.rightsrestrictedAccess
dc.titleMarket fragmentation and market consolidation: Multiple steady states in systems of adaptive traders choosing where to trade
dc.typeArticle
dc.type.versionpublishedVersion
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Aloric_PRE_2019.pdf
Size:
3.45 MB
Format:
Adobe Portable Document Format
Description:
Collections