Quasi-centralized limit order books
A quasi-centralized limit order book (QCLOB) is a limit order book (LOB) in which financial institutions can only access the trading opportunities offered by counterparties with whom they possess sufficient bilateral credit. In this paper, we perform an empirical analysis of a recent, high-quality d...
Main Authors: | , , |
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פורמט: | Journal article |
יצא לאור: |
Taylor and Francis
2017
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_version_ | 1826285431850795008 |
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author | Howison, S Gould, M Porter, M |
author_facet | Howison, S Gould, M Porter, M |
author_sort | Howison, S |
collection | OXFORD |
description | A quasi-centralized limit order book (QCLOB) is a limit order book (LOB) in which financial institutions can only access the trading opportunities offered by counterparties with whom they possess sufficient bilateral credit. In this paper, we perform an empirical analysis of a recent, high-quality data set from a large electronic trading platform that utilizes QCLOBs to facilitate trade. We argue that the quoterelative framework often used to study other LOBs is not a sensible reference frame for QCLOBs, so we instead introduce an alternative, trade-relative framework, which we use to study the statistical properties of order flow and LOB state in our data. We also uncover an empirical universality: although the distributions that describe order flow and LOB state vary considerably across days, a simple, linear rescaling causes them to collapse onto a single curve. Motivated by this finding, we propose a semiparametric model of order flow and LOB state for a single trading day. Our model provides similar performance to that of parametric curve-fitting techniques but is simpler to compute and faster to implement. |
first_indexed | 2024-03-07T01:28:44Z |
format | Journal article |
id | oxford-uuid:92dc26f2-3d3b-43d9-b14b-26456fcd24e3 |
institution | University of Oxford |
last_indexed | 2024-03-07T01:28:44Z |
publishDate | 2017 |
publisher | Taylor and Francis |
record_format | dspace |
spelling | oxford-uuid:92dc26f2-3d3b-43d9-b14b-26456fcd24e32022-03-26T23:28:27ZQuasi-centralized limit order booksJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:92dc26f2-3d3b-43d9-b14b-26456fcd24e3Symplectic Elements at OxfordTaylor and Francis2017Howison, SGould, MPorter, MA quasi-centralized limit order book (QCLOB) is a limit order book (LOB) in which financial institutions can only access the trading opportunities offered by counterparties with whom they possess sufficient bilateral credit. In this paper, we perform an empirical analysis of a recent, high-quality data set from a large electronic trading platform that utilizes QCLOBs to facilitate trade. We argue that the quoterelative framework often used to study other LOBs is not a sensible reference frame for QCLOBs, so we instead introduce an alternative, trade-relative framework, which we use to study the statistical properties of order flow and LOB state in our data. We also uncover an empirical universality: although the distributions that describe order flow and LOB state vary considerably across days, a simple, linear rescaling causes them to collapse onto a single curve. Motivated by this finding, we propose a semiparametric model of order flow and LOB state for a single trading day. Our model provides similar performance to that of parametric curve-fitting techniques but is simpler to compute and faster to implement. |
spellingShingle | Howison, S Gould, M Porter, M Quasi-centralized limit order books |
title | Quasi-centralized limit order books |
title_full | Quasi-centralized limit order books |
title_fullStr | Quasi-centralized limit order books |
title_full_unstemmed | Quasi-centralized limit order books |
title_short | Quasi-centralized limit order books |
title_sort | quasi centralized limit order books |
work_keys_str_mv | AT howisons quasicentralizedlimitorderbooks AT gouldm quasicentralizedlimitorderbooks AT porterm quasicentralizedlimitorderbooks |