CSpace
Can financial crisis be detected? Laplacian energy measure
Huang, Chuangxia1,2; Deng, Yunke1,3; Yang, Xin1,2; Yang, Xiaoguang4; Cao, Jinde5,6
2022-06-29
发表期刊EUROPEAN JOURNAL OF FINANCE
ISSN1351-847X
页码28
摘要How to rapidly and accurately detect the financial crisis is one of the fundamental and challenging problems in the field of financial risk management. This paper aims to develop a novel network characteristic indicator to deal with this issue. Specifically, we select the daily closing price of stocks spanning from 2006 to 2020 in China's A-share market to establish a series of complex networks, and extract Laplacian energy measure as a new network indicator. By employing the method of seasonal-trend decomposition procedure based on loess, the proposed indicator successfully detects the global financial crisis, the Eurozone debt crisis, the Chinese stock market crash, the Sino-US trade friction and the COVID-19 pandemic. Furthermore, compared with the traditional topological indicators (e.g. global efficiency, average clustering coefficient, characteristic path length and network density), the proposed indicator demonstrates the outstanding characteristics of higher identification accuracy, wider application range and faster response speed. Lastly, the robustness of the Laplacian energy measure in the financial crisis detection is further confirmed in the US, UK, German, French and Spanish stock markets.
关键词Financial crisis complex network Laplacian energy network structure seasonal-trend decomposition procedure based on loess (STL)
DOI10.1080/1351847X.2022.2091946
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[72192800] ; National Natural Science Foundation of China[72101035] ; National Natural Science Foundation of China[71471020] ; Excellent Youth Foundation of Educational Committee of Hunan Provincial[21B0339]
WOS研究方向Business & Economics
WOS类目Business, Finance
WOS记录号WOS:000817881700001
出版者ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/61209
专题中国科学院数学与系统科学研究院
通讯作者Yang, Xin
作者单位1.Changsha Univ Sci & Technol, Sch Math & Stat, Hunan Prov Key Lab Math Modeling & Anal Engn, Changsha, Peoples R China
2.Changsha Univ Sci & Technol, Sch Econ & Management, Changsha, Peoples R China
3.Univ Chinese Acad Sci, cSch Econ & Management, Beijing, Peoples R China
4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
5.Southeast Univ, Sch Math, Nanjing, Peoples R China
6.Yonsei Univ, Yonsei Frontier Lab, Seoul, South Korea
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GB/T 7714
Huang, Chuangxia,Deng, Yunke,Yang, Xin,et al. Can financial crisis be detected? Laplacian energy measure[J]. EUROPEAN JOURNAL OF FINANCE,2022:28.
APA Huang, Chuangxia,Deng, Yunke,Yang, Xin,Yang, Xiaoguang,&Cao, Jinde.(2022).Can financial crisis be detected? Laplacian energy measure.EUROPEAN JOURNAL OF FINANCE,28.
MLA Huang, Chuangxia,et al."Can financial crisis be detected? Laplacian energy measure".EUROPEAN JOURNAL OF FINANCE (2022):28.
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