TY - GEN
T1 - Detecting Systemically Important Platforms in P2P Market of China
AU - Lu, Shan
AU - Xu, Xiaolei
AU - Wang, Huiwen
AU - Zhao, Jichang
AU - Wu, Zhen
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/13
Y1 - 2018/9/13
N2 - Fueled by advances in technology and shifts in generational values, the market of online peer-to-peer (P2P) platforms is growing prosperously in China. While the development of this rapidly-evolving industry has stimulated the financial market where traditional banks could not reach, collapses of well-known platforms due to malpractice, fraud or business failure are raising great concerns about systemic risk, as troubles of systemically important platforms may trigger wide range of failures because of the network of financial exposures among the industry. However, the network of Chinese P2P lending platforms remains unknown. To fill this vital gap, we performed the first complex network analysis of the Chinese P2P lending platforms using empirical platform-level data. The network analysis enables us to detect the systematically important platforms, through the static importance indicators as well as cascading scheme. A further grouping analysis presents the different characteristic of the platform with different importance levels, which in turn proves the network modeling is able to function effectively in detectina the systemic important platforms.
AB - Fueled by advances in technology and shifts in generational values, the market of online peer-to-peer (P2P) platforms is growing prosperously in China. While the development of this rapidly-evolving industry has stimulated the financial market where traditional banks could not reach, collapses of well-known platforms due to malpractice, fraud or business failure are raising great concerns about systemic risk, as troubles of systemically important platforms may trigger wide range of failures because of the network of financial exposures among the industry. However, the network of Chinese P2P lending platforms remains unknown. To fill this vital gap, we performed the first complex network analysis of the Chinese P2P lending platforms using empirical platform-level data. The network analysis enables us to detect the systematically important platforms, through the static importance indicators as well as cascading scheme. A further grouping analysis presents the different characteristic of the platform with different importance levels, which in turn proves the network modeling is able to function effectively in detectina the systemic important platforms.
KW - P2P lending
KW - network modelling
KW - systemic risk
UR - https://www.scopus.com/pages/publications/85054416222
U2 - 10.1109/ICSSSM.2018.8465119
DO - 10.1109/ICSSSM.2018.8465119
M3 - 会议稿件
AN - SCOPUS:85054416222
SN - 9781538651780
T3 - 2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018
BT - 2018 15th International Conference on Service Systems and Service Management, ICSSSM 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th International Conference on Service Systems and Service Management, ICSSSM 2018
Y2 - 21 July 2018 through 22 July 2018
ER -