General Component Analysis (GCA): A new approach to identify Chinese corporate bond market structures | |
Chen, XS; Wang, L; Yan, Y3; Li, XT | |
刊名 | PLOS ONE |
2018 | |
卷号 | 13期号:7页码:e0199500 |
关键词 | COMPLEX NETWORKS STOCK-MARKET DYNAMICS |
ISSN号 | 1932-6203 |
DOI | 10.1371/journal.pone.0199500 |
英文摘要 | PCA has been widely used in many fields to detect dominant principle components, but it ignores the information embedded in the remaining components. As a supplement to PCA, we propose the General Component Analysis (GCA). The inverse participation ratios (IPRs) are used to identify the global components (GCs) and localized components (LCs). The mean values of the IPRs derived from the shuffled data are taken as the natural threshold, which is exquisite and novel. In this paper, the Chinese corporate bond market is analyzed as an example. We propose a novel network method to divide time periods based on micro data, which performs better in capturing the time points when the market state switches. As a result, two periods have been obtained. There are two GCs in both periods, which are influenced by terms to maturity and ratings. Besides, there are 382 LCs in Period 1 and 166 LCs in Period 2. In the LC portfolios there are two interesting bond collections which are helpful to understand the thoughts of the investors. One is the supper AAA bond collection which is believed to have implicit governmental guarantees by the investors, and the other is the overcapacity industrial bond collection which is influenced by the supply-side reform led by the Chinese government. GCA is expected to be applied to other complex systems. |
学科主题 | Science & Technology - Other Topics |
语种 | 英语 |
内容类型 | 期刊论文 |
源URL | [http://ir.itp.ac.cn/handle/311006/22868] |
专题 | 理论物理研究所_理论物理所1978-2010年知识产出 |
作者单位 | 1.Chinese Acad Sci, Inst Theoret Phys, Beijing, Peoples R China 2.Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, XS,Wang, L,Yan, Y,et al. General Component Analysis (GCA): A new approach to identify Chinese corporate bond market structures[J]. PLOS ONE,2018,13(7):e0199500. |
APA | Chen, XS,Wang, L,Yan, Y,&Li, XT.(2018).General Component Analysis (GCA): A new approach to identify Chinese corporate bond market structures.PLOS ONE,13(7),e0199500. |
MLA | Chen, XS,et al."General Component Analysis (GCA): A new approach to identify Chinese corporate bond market structures".PLOS ONE 13.7(2018):e0199500. |
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