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Predicting default rates by capturing critical transitions in the macroeconomic system
Xing Kai1; Yang Xiaoguang1,2
2020
发表期刊FINANCE RESEARCH LETTERS
ISSN1544-6123
卷号32页码:11
摘要We employ a method of capturing critical transitions of macroeconomic system to predict corporate default. The method is originally developed for anticipating critical transitions in complex natural systems. Based on this method, we construct macro-indicators for capturing incipient changes in the macroeconomic system by using different sets of economic factors, and then we use these indicators to predict corporate default in the US industrial sector. Empirical results show that the indicator constructed by exclusively using leading factors outperforms the other indicators in terms of predicting power. This study implies that the method proposed in natural sciences can be extended efficiently to the field of economics, and it is not the interaction of more variables but the interaction of the leading variables to contain more important information.
关键词Corporate default Macro-indicator Critical transitions
DOI10.1016/j.frl.2019.02.007
收录类别SCI
语种英语
资助项目NSFC[71532013] ; NSFC[71431008] ; CPSF (Postdoctoral International Exchange Program)
WOS研究方向Business & Economics
WOS类目Business, Finance
WOS记录号WOS:000518873000029
出版者ACADEMIC PRESS INC ELSEVIER SCIENCE
引用统计
文献类型期刊论文
条目标识符http://ir.amss.ac.cn/handle/2S8OKBNM/50956
专题中国科学院数学与系统科学研究院
通讯作者Yang Xiaoguang
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, 55 Zhongguancun Rd, Haidian Dist 100190, Peoples R China
2.Univ Chinese Acad Sci, 19 A Yuquan Rd, Beijing 100049, Peoples R China
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GB/T 7714
Xing Kai,Yang Xiaoguang. Predicting default rates by capturing critical transitions in the macroeconomic system[J]. FINANCE RESEARCH LETTERS,2020,32:11.
APA Xing Kai,&Yang Xiaoguang.(2020).Predicting default rates by capturing critical transitions in the macroeconomic system.FINANCE RESEARCH LETTERS,32,11.
MLA Xing Kai,et al."Predicting default rates by capturing critical transitions in the macroeconomic system".FINANCE RESEARCH LETTERS 32(2020):11.
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