Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach

In this paper, we investigated the effectiveness of price limit on stock market with the correlation study and complex network technology. We proposed a time-migrated DCCA cross-correlation coefficient which is beneficial to detect the asynchronous correlations of nonstationary time series. The stoc...

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Main Authors: Hongzeng He, Shufen Dai
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2021/3265843
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author Hongzeng He
Shufen Dai
author_facet Hongzeng He
Shufen Dai
author_sort Hongzeng He
collection DOAJ
description In this paper, we investigated the effectiveness of price limit on stock market with the correlation study and complex network technology. We proposed a time-migrated DCCA cross-correlation coefficient which is beneficial to detect the asynchronous correlations of nonstationary time series. The stock market network is constructed with the threshold method based on time-migrated DCCA. The effectiveness of the price limit during the stock market crash period is studied based on the time-migrated DCCA stock market network. The results indicate that the time-migrated DCCA ensures more relevant results than the equal-time DCCA method. An interesting finding is that the price limit has different effects on the stock market network at different stages of dynamic evolution. Market stabilization will be lowered and the systemic risk will be increased if the price limit is enhanced. Such studies are relevant for a better understanding of the stock market and have a significant contribution to the stock market in reality.
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institution Kabale University
issn 1076-2787
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publishDate 2021-01-01
publisher Wiley
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series Complexity
spelling doaj-art-9fa774e092e8498ab361cbbf29030d682025-08-20T03:38:27ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/32658433265843Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA ApproachHongzeng He0Shufen Dai1School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, ChinaSchool of Economics and Management, University of Science and Technology Beijing, Beijing 100083, ChinaIn this paper, we investigated the effectiveness of price limit on stock market with the correlation study and complex network technology. We proposed a time-migrated DCCA cross-correlation coefficient which is beneficial to detect the asynchronous correlations of nonstationary time series. The stock market network is constructed with the threshold method based on time-migrated DCCA. The effectiveness of the price limit during the stock market crash period is studied based on the time-migrated DCCA stock market network. The results indicate that the time-migrated DCCA ensures more relevant results than the equal-time DCCA method. An interesting finding is that the price limit has different effects on the stock market network at different stages of dynamic evolution. Market stabilization will be lowered and the systemic risk will be increased if the price limit is enhanced. Such studies are relevant for a better understanding of the stock market and have a significant contribution to the stock market in reality.http://dx.doi.org/10.1155/2021/3265843
spellingShingle Hongzeng He
Shufen Dai
Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach
Complexity
title Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach
title_full Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach
title_fullStr Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach
title_full_unstemmed Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach
title_short Effectiveness of Price Limit on Stock Market Network: A Time-Migrated DCCA Approach
title_sort effectiveness of price limit on stock market network a time migrated dcca approach
url http://dx.doi.org/10.1155/2021/3265843
work_keys_str_mv AT hongzenghe effectivenessofpricelimitonstockmarketnetworkatimemigrateddccaapproach
AT shufendai effectivenessofpricelimitonstockmarketnetworkatimemigrateddccaapproach