An empirical behavioral order-driven model with price limit rules

Abstract We propose an empirical behavioral order-driven (EBOD) model with price limit rules, which consists of an order placement process and an order cancellation process. All the ingredients of the model are determined based on the empirical microscopic regularities in the order flows of stocks t...

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Autores principales: Gao-Feng Gu, Xiong Xiong, Hai-Chuan Xu, Wei Zhang, Yongjie Zhang, Wei Chen, Wei-Xing Zhou
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Lenguaje:EN
Publicado: SpringerOpen 2021
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Acceso en línea:https://doaj.org/article/481e81e32e01406b864ab28ba34b6939
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spelling oai:doaj.org-article:481e81e32e01406b864ab28ba34b69392021-11-08T10:57:12ZAn empirical behavioral order-driven model with price limit rules10.1186/s40854-021-00288-42199-4730https://doaj.org/article/481e81e32e01406b864ab28ba34b69392021-11-01T00:00:00Zhttps://doi.org/10.1186/s40854-021-00288-4https://doaj.org/toc/2199-4730Abstract We propose an empirical behavioral order-driven (EBOD) model with price limit rules, which consists of an order placement process and an order cancellation process. All the ingredients of the model are determined based on the empirical microscopic regularities in the order flows of stocks traded on the Shenzhen Stock Exchange. The model can reproduce the main stylized facts in real markets. Computational experiments unveil that asymmetric setting of price limits will cause the stock price to diverge exponentially when the up price limit is higher than the down price limit and to vanish vice versa. We also find that asymmetric price limits have little influence on the correlation structure of the return series and the volatility series, but cause remarkable changes in the average returns and the tail exponents of returns. Our EBOD model provides a suitable computational experiment platform for academics, market participants, and policy makers.Gao-Feng GuXiong XiongHai-Chuan XuWei ZhangYongjie ZhangWei ChenWei-Xing ZhouSpringerOpenarticleEconophysicsOrder-driven modelAgent-based modelAsymmetric price limitStylized factsLimit order bookPublic financeK4430-4675FinanceHG1-9999ENFinancial Innovation, Vol 7, Iss 1, Pp 1-24 (2021)
institution DOAJ
collection DOAJ
language EN
topic Econophysics
Order-driven model
Agent-based model
Asymmetric price limit
Stylized facts
Limit order book
Public finance
K4430-4675
Finance
HG1-9999
spellingShingle Econophysics
Order-driven model
Agent-based model
Asymmetric price limit
Stylized facts
Limit order book
Public finance
K4430-4675
Finance
HG1-9999
Gao-Feng Gu
Xiong Xiong
Hai-Chuan Xu
Wei Zhang
Yongjie Zhang
Wei Chen
Wei-Xing Zhou
An empirical behavioral order-driven model with price limit rules
description Abstract We propose an empirical behavioral order-driven (EBOD) model with price limit rules, which consists of an order placement process and an order cancellation process. All the ingredients of the model are determined based on the empirical microscopic regularities in the order flows of stocks traded on the Shenzhen Stock Exchange. The model can reproduce the main stylized facts in real markets. Computational experiments unveil that asymmetric setting of price limits will cause the stock price to diverge exponentially when the up price limit is higher than the down price limit and to vanish vice versa. We also find that asymmetric price limits have little influence on the correlation structure of the return series and the volatility series, but cause remarkable changes in the average returns and the tail exponents of returns. Our EBOD model provides a suitable computational experiment platform for academics, market participants, and policy makers.
format article
author Gao-Feng Gu
Xiong Xiong
Hai-Chuan Xu
Wei Zhang
Yongjie Zhang
Wei Chen
Wei-Xing Zhou
author_facet Gao-Feng Gu
Xiong Xiong
Hai-Chuan Xu
Wei Zhang
Yongjie Zhang
Wei Chen
Wei-Xing Zhou
author_sort Gao-Feng Gu
title An empirical behavioral order-driven model with price limit rules
title_short An empirical behavioral order-driven model with price limit rules
title_full An empirical behavioral order-driven model with price limit rules
title_fullStr An empirical behavioral order-driven model with price limit rules
title_full_unstemmed An empirical behavioral order-driven model with price limit rules
title_sort empirical behavioral order-driven model with price limit rules
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/481e81e32e01406b864ab28ba34b6939
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