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...

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Main Authors: Howison, S, Gould, M, Porter, M
פורמט: Journal article
יצא לאור: Taylor and Francis 2017
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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.
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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