Institute of Computing Technology, Chinese Academy IR
Detecting anomalous traders using multi-slice network analysis | |
Sun, Xiao-Qian1,2; Shen, Hua-Wei1; Cheng, Xue-Qi1; Zhang, Yuqing2 | |
2017-05-01 | |
发表期刊 | PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS |
ISSN | 0378-4371 |
卷号 | 473页码:1-9 |
摘要 | Manipulation is an important issue for both developed and emerging stock markets. Many efforts have been made to detect manipulation in stock market. However, it is still an open problem to identify the fraudulent traders, especially when they collude with each other. In this paper, we focus on the problem of identifying anomalous traders using the transaction data of 8 manipulated stocks and 42 non-manipulated stocks during a one-year period. For each stock, we construct a multi-slice trading network to characterize the daily trading behavior and the cross-day participation of each trader. Comparing the multi-slice trading network of manipulated stocks and non-manipulated stocks with their randomized version, we find that manipulated stocks exhibit high number of trader pairs that trade with each other in multiple days and high deviation from randomized network at correlation between trading frequency and trading activity. These findings are effective at distinguishing manipulated stocks from non-manipulated ones and at identifying anomalous traders. (C) 2017 Elsevier B.V. All rights reserved. |
关键词 | Network analysis Trading network Multi-slice network Manipulation Anomaly detection |
DOI | 10.1016/j.physa.2016.12.052 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Basic Research Program of China (the 973 program)[2014CB340401] ; National Basic Research Program of China (the 973 program)[2013CB329602] ; National Natural Science Foundation of China[61232010] ; National Natural Science Foundation of China[61425016] ; National Natural Science Foundation of China[61433014] |
WOS研究方向 | Physics |
WOS类目 | Physics, Multidisciplinary |
WOS记录号 | WOS:000394061500001 |
出版者 | ELSEVIER SCIENCE BV |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/7421 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Shen, Hua-Wei |
作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Data Sci & Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Sun, Xiao-Qian,Shen, Hua-Wei,Cheng, Xue-Qi,et al. Detecting anomalous traders using multi-slice network analysis[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,2017,473:1-9. |
APA | Sun, Xiao-Qian,Shen, Hua-Wei,Cheng, Xue-Qi,&Zhang, Yuqing.(2017).Detecting anomalous traders using multi-slice network analysis.PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS,473,1-9. |
MLA | Sun, Xiao-Qian,et al."Detecting anomalous traders using multi-slice network analysis".PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 473(2017):1-9. |
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