Plumbing of Securities Markets: The Impact of Post-trade Fees on Trading and Welfare
Hans Degryse,
Mark Van Achter () and
Gunther Wuyts ()
Additional contact information
Mark Van Achter: KU Leuven, Leuven, Flanders, Belgium 3000; The Liquid House, Antwerp, Belgium, 2000
Gunther Wuyts: KU Leuven, Leuven, Flanders, Belgium 3000
Management Science, 2022, vol. 68, issue 1, 635-653
Abstract:
We analyze how market design choices about counterparty information and costs related to the “plumbing” (i.e., clearing, settlement, and custody) of securities markets affect market quality and welfare. Our model compares two post-trade fee structures for allocating these costs. One charges a uniform fee for all trades and the other, marginal cost–based structure a reduced fee for internalized trades (which, both traders being from the same broker, is less costly to process). Both market design and fee structure affect quote aggressiveness and trading volume and its composition. With marginal cost–based fees and counterparty information being available, traders decide which counterparties to target through quote aggressiveness, trading off execution probability against fee. A social planner can maximize welfare by requiring marginal cost–based fees and providing traders the choice to disclose counterparty information.
Keywords: clearing and settlement; market design; financial market infrastructure; internalization; welfare (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1287/mnsc.2020.3880 (application/pdf)
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:inm:ormnsc:v:68:y:2022:i:1:p:635-653
Access Statistics for this article
More articles in Management Science from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().