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. We perform an empirical analysis of a recent, high-quality data set from a...

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Main Authors: Gould, MD, Porter, M, Howison, S
Format: Journal article
Published: 2015
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author Gould, MD
Porter, M
Howison, S
author_facet Gould, MD
Porter, M
Howison, S
author_sort Gould, MD
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. 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 find many significant differences between our results and those widely reported for other LOBs. We also uncover a remarkable empirical universality: although the distributions describing order flow and market state vary considerably across days, a simple, linear rescaling causes them to collapse onto a single curve. Motivated by this finding, we propose a semi-parametric model of order flow and market state in a QCLOB on a single trading day. Our model provides similar performance to that of parametric curve-fitting techniques, while being simpler to compute and faster to implement.
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spelling oxford-uuid:a67f12bc-1652-4404-97ea-2b446d6889532022-03-29T17:18:37ZQuasi-Centralized Limit Order BooksJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a67f12bc-1652-4404-97ea-2b446d688953Symplectic Elements at Oxford2015Gould, MDPorter, MHowison, SA 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. 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 find many significant differences between our results and those widely reported for other LOBs. We also uncover a remarkable empirical universality: although the distributions describing order flow and market state vary considerably across days, a simple, linear rescaling causes them to collapse onto a single curve. Motivated by this finding, we propose a semi-parametric model of order flow and market state in a QCLOB on a single trading day. Our model provides similar performance to that of parametric curve-fitting techniques, while being simpler to compute and faster to implement.
spellingShingle Gould, MD
Porter, M
Howison, S
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
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AT howisons quasicentralizedlimitorderbooks