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Quasi-Centralized Limit Order Books

Abstract:
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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Publisher copy:
10.2139/ssrn.2558789

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author


Publication date:
2015-02-02
DOI:
ISSN:
1556-5068


Keywords:
Pubs id:
pubs:506872
UUID:
uuid:a67f12bc-1652-4404-97ea-2b446d688953
Local pid:
pubs:506872
Source identifiers:
506872
Deposit date:
2015-03-09
ARK identifier:

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