Network Entropies of the Chinese Financial Market
Based on the data from the Chinese financial market, this paper focuses on analyzing three types of network entropies of the financial market, namely, Shannon, Renyi and Tsallis entropies. The findings suggest that Shannon entropy can reflect the volatility of the financial market, that Renyi and Ts...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2016-09-01
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| Series: | Entropy |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1099-4300/18/9/331 |
| _version_ | 1818014901403123712 |
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| author | Shouwei Li Jianmin He Kai Song |
| author_facet | Shouwei Li Jianmin He Kai Song |
| author_sort | Shouwei Li |
| collection | DOAJ |
| description | Based on the data from the Chinese financial market, this paper focuses on analyzing three types of network entropies of the financial market, namely, Shannon, Renyi and Tsallis entropies. The findings suggest that Shannon entropy can reflect the volatility of the financial market, that Renyi and Tsallis entropies also have this function when their parameter has a positive value, and that Renyi and Tsallis entropies can reflect the extreme case of the financial market when their parameter has a negative value. |
| first_indexed | 2024-04-14T06:51:03Z |
| format | Article |
| id | doaj.art-0af3d5474c954faab478e38e6378be06 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-14T06:51:03Z |
| publishDate | 2016-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-0af3d5474c954faab478e38e6378be062022-12-22T02:07:02ZengMDPI AGEntropy1099-43002016-09-0118933110.3390/e18090331e18090331Network Entropies of the Chinese Financial MarketShouwei Li0Jianmin He1Kai Song2School of Economics and Management, Southeast University, Nanjing 211189, ChinaSchool of Economics and Management, Southeast University, Nanjing 211189, ChinaSchool of Economics and Management, Southeast University, Nanjing 211189, ChinaBased on the data from the Chinese financial market, this paper focuses on analyzing three types of network entropies of the financial market, namely, Shannon, Renyi and Tsallis entropies. The findings suggest that Shannon entropy can reflect the volatility of the financial market, that Renyi and Tsallis entropies also have this function when their parameter has a positive value, and that Renyi and Tsallis entropies can reflect the extreme case of the financial market when their parameter has a negative value.http://www.mdpi.com/1099-4300/18/9/331financial marketnetwork entropyShannon entropyRenyi entropyTsallis entropy |
| spellingShingle | Shouwei Li Jianmin He Kai Song Network Entropies of the Chinese Financial Market Entropy financial market network entropy Shannon entropy Renyi entropy Tsallis entropy |
| title | Network Entropies of the Chinese Financial Market |
| title_full | Network Entropies of the Chinese Financial Market |
| title_fullStr | Network Entropies of the Chinese Financial Market |
| title_full_unstemmed | Network Entropies of the Chinese Financial Market |
| title_short | Network Entropies of the Chinese Financial Market |
| title_sort | network entropies of the chinese financial market |
| topic | financial market network entropy Shannon entropy Renyi entropy Tsallis entropy |
| url | http://www.mdpi.com/1099-4300/18/9/331 |
| work_keys_str_mv | AT shouweili networkentropiesofthechinesefinancialmarket AT jianminhe networkentropiesofthechinesefinancialmarket AT kaisong networkentropiesofthechinesefinancialmarket |