Dynamic Evolution of Securities Market Network Structure under Acute Fluctuation Circumstances
This empirical research applies cointegration in the traditional measurement method first to build directed weighted networks in the context of stock market. Then, this method is used to design the indicators and the value simulation for measuring network fluctuation and studying the dynamic evoluti...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/4370203 |
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| _version_ | 1849412914695372800 |
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| author | Haifei Liu Tingqiang Chen Zuhan Hu |
| author_facet | Haifei Liu Tingqiang Chen Zuhan Hu |
| author_sort | Haifei Liu |
| collection | DOAJ |
| description | This empirical research applies cointegration in the traditional measurement method first to build directed weighted networks in the context of stock market. Then, this method is used to design the indicators and the value simulation for measuring network fluctuation and studying the dynamic evolution mechanism of stock market transaction networks as affected by price fluctuations. Finally, the topological structure and robustness of the network are evaluated. The results show that network structure stability is strong in the bull market stage and weak in the bear market stage. And the convergence rate of the dynamic evolution of network fluctuation is higher in the bull market stage than in the bear market stage. |
| format | Article |
| id | doaj-art-4cadf07b8a914afa82f0ec4b7977fe39 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-4cadf07b8a914afa82f0ec4b7977fe392025-08-20T03:34:18ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/43702034370203Dynamic Evolution of Securities Market Network Structure under Acute Fluctuation CircumstancesHaifei Liu0Tingqiang Chen1Zuhan Hu2School of Management and Engineering, Nanjing University, Nanjing 210093, ChinaSchool of Economic and Management, Nanjing Tech University, Nanjing 211816, ChinaSchool of Management and Engineering, Nanjing University, Nanjing 210093, ChinaThis empirical research applies cointegration in the traditional measurement method first to build directed weighted networks in the context of stock market. Then, this method is used to design the indicators and the value simulation for measuring network fluctuation and studying the dynamic evolution mechanism of stock market transaction networks as affected by price fluctuations. Finally, the topological structure and robustness of the network are evaluated. The results show that network structure stability is strong in the bull market stage and weak in the bear market stage. And the convergence rate of the dynamic evolution of network fluctuation is higher in the bull market stage than in the bear market stage.http://dx.doi.org/10.1155/2017/4370203 |
| spellingShingle | Haifei Liu Tingqiang Chen Zuhan Hu Dynamic Evolution of Securities Market Network Structure under Acute Fluctuation Circumstances Complexity |
| title | Dynamic Evolution of Securities Market Network Structure under Acute Fluctuation Circumstances |
| title_full | Dynamic Evolution of Securities Market Network Structure under Acute Fluctuation Circumstances |
| title_fullStr | Dynamic Evolution of Securities Market Network Structure under Acute Fluctuation Circumstances |
| title_full_unstemmed | Dynamic Evolution of Securities Market Network Structure under Acute Fluctuation Circumstances |
| title_short | Dynamic Evolution of Securities Market Network Structure under Acute Fluctuation Circumstances |
| title_sort | dynamic evolution of securities market network structure under acute fluctuation circumstances |
| url | http://dx.doi.org/10.1155/2017/4370203 |
| work_keys_str_mv | AT haifeiliu dynamicevolutionofsecuritiesmarketnetworkstructureunderacutefluctuationcircumstances AT tingqiangchen dynamicevolutionofsecuritiesmarketnetworkstructureunderacutefluctuationcircumstances AT zuhanhu dynamicevolutionofsecuritiesmarketnetworkstructureunderacutefluctuationcircumstances |