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Can financial crisis be detected? Laplacian energy measure

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成果类型:
期刊论文
作者:
Huang, Chuangxia;Deng, Yunke;Yang, Xin;Yang, Xiaoguang;Cao, Jinde
通讯作者:
Xin Yang
作者机构:
[Yang, Xin; Deng, Yunke; Huang, Chuangxia] Changsha Univ Sci & Technol, Sch Math & Stat, Hunan Prov Key Lab Math Modeling & Anal Engn, Changsha, Peoples R China.
[Yang, Xin; Huang, Chuangxia] Changsha Univ Sci & Technol, Sch Econ & Management, Changsha, Peoples R China.
[Deng, Yunke] Univ Chinese Acad Sci, cSch Econ & Management, Beijing, Peoples R China.
[Yang, Xiaoguang] Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China.
[Cao, Jinde] Southeast Univ, Sch Math, Nanjing, Peoples R China.
通讯机构:
[Xin Yang] S
School of Mathematics and Statistics, Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering, Changsha University of Science and Technology, Changsha, People’s Republic of China<&wdkj&>School of Economics & Management, Changsha University of Science and Technology, Changsha, People’s Republic of China
语种:
英文
关键词:
Financial crisis;complex network;Laplacian energy;network structure;seasonal-trend decomposition procedure based on loess (STL)
期刊:
EUROPEAN JOURNAL OF FINANCE
ISSN:
1351-847X
年:
2023
卷:
29
期:
9
页码:
949-976
基金类别:
Research for this paper was supported by the National Natural Science Foundation of China [Nos. 72192800, 72101035, 71471020] and the Excellent Youth Foundation of Educational Committee of Hunan Provincial [No.21B0339]. The authors are grateful to the editor and anonymous reviewers for their constructive comments, which led to a significant improvement of our original manuscript.
机构署名:
本校为第一机构
院系归属:
经济与管理学院
数学与统计学院
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...

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