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Modeling aggressive market order placements with Hawkes factor models

Price changes are induced by aggressive market orders in stock market. We introduce a bivariate marked Hawkes process to model aggressive market order arrivals at the microstructural level. The order arrival intensity is marked by an exogenous part and two endogenous processes reflecting the self-ex...

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Detalles Bibliográficos
Autores principales: Xu, Hai-Chuan, Zhou, Wei-Xing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953867/
https://www.ncbi.nlm.nih.gov/pubmed/31923180
http://dx.doi.org/10.1371/journal.pone.0226667
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author Xu, Hai-Chuan
Zhou, Wei-Xing
author_facet Xu, Hai-Chuan
Zhou, Wei-Xing
author_sort Xu, Hai-Chuan
collection PubMed
description Price changes are induced by aggressive market orders in stock market. We introduce a bivariate marked Hawkes process to model aggressive market order arrivals at the microstructural level. The order arrival intensity is marked by an exogenous part and two endogenous processes reflecting the self-excitation and cross-excitation respectively. We calibrate the model for a Shenzhen Stock Exchange stock. We find that the exponential kernel with a smooth cut-off (i.e. the subtraction of two exponentials) produces much better calibration than the monotonous exponential kernel (i.e. the sum of two exponentials). The exogenous baseline intensity explains the U-shaped intraday pattern. Our empirical results show that the endogenous submission clustering is mainly caused by self-excitation rather than cross-excitation.
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spelling pubmed-69538672020-01-21 Modeling aggressive market order placements with Hawkes factor models Xu, Hai-Chuan Zhou, Wei-Xing PLoS One Research Article Price changes are induced by aggressive market orders in stock market. We introduce a bivariate marked Hawkes process to model aggressive market order arrivals at the microstructural level. The order arrival intensity is marked by an exogenous part and two endogenous processes reflecting the self-excitation and cross-excitation respectively. We calibrate the model for a Shenzhen Stock Exchange stock. We find that the exponential kernel with a smooth cut-off (i.e. the subtraction of two exponentials) produces much better calibration than the monotonous exponential kernel (i.e. the sum of two exponentials). The exogenous baseline intensity explains the U-shaped intraday pattern. Our empirical results show that the endogenous submission clustering is mainly caused by self-excitation rather than cross-excitation. Public Library of Science 2020-01-10 /pmc/articles/PMC6953867/ /pubmed/31923180 http://dx.doi.org/10.1371/journal.pone.0226667 Text en © 2020 Xu, Zhou http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Xu, Hai-Chuan
Zhou, Wei-Xing
Modeling aggressive market order placements with Hawkes factor models
title Modeling aggressive market order placements with Hawkes factor models
title_full Modeling aggressive market order placements with Hawkes factor models
title_fullStr Modeling aggressive market order placements with Hawkes factor models
title_full_unstemmed Modeling aggressive market order placements with Hawkes factor models
title_short Modeling aggressive market order placements with Hawkes factor models
title_sort modeling aggressive market order placements with hawkes factor models
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953867/
https://www.ncbi.nlm.nih.gov/pubmed/31923180
http://dx.doi.org/10.1371/journal.pone.0226667
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