P2P Lending Risk Contagion Analysis Based on a Complex Network Model

This paper analyzes two major channels of P2P lending risk contagion in China—direct risk contagion between platforms and indirect risk contagion with other financial organizations as the contagion medium. Based on this analysis, the current study constructs a complex network model of P2P lending ri...

Full description

Bibliographic Details
Main Authors: Qi Wei, Qiang Zhang
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2016/5013954
id doaj-8c3ee2b977f64f8ab3a4b705e81efaaf
record_format Article
spelling doaj-8c3ee2b977f64f8ab3a4b705e81efaaf2020-11-24T21:05:25ZengHindawi LimitedDiscrete Dynamics in Nature and Society1026-02261607-887X2016-01-01201610.1155/2016/50139545013954P2P Lending Risk Contagion Analysis Based on a Complex Network ModelQi Wei0Qiang Zhang1College of Finance and Statistics, Hunan University, Changsha, Hunan 410082, ChinaCollege of Finance and Statistics, Hunan University, Changsha, Hunan 410082, ChinaThis paper analyzes two major channels of P2P lending risk contagion in China—direct risk contagion between platforms and indirect risk contagion with other financial organizations as the contagion medium. Based on this analysis, the current study constructs a complex network model of P2P lending risk contagion in China and performs dynamics analogue simulations in order to analyze general characteristics of direct risk contagion among China’s online P2P lending platforms. The assumed conditions are that other financial organizations act as the contagion medium, with variations in the risk contagion characteristics set under the condition of significant information asymmetry in Internet lending. It is indicated that, compared to direct risk contagion among platforms, both financial organizations acting as the contagion medium and information asymmetry magnify the effect of risk contagion. It is also found that the superposition of media effects and information asymmetry is more likely to magnify the risk contagion effect.http://dx.doi.org/10.1155/2016/5013954
collection DOAJ
language English
format Article
sources DOAJ
author Qi Wei
Qiang Zhang
spellingShingle Qi Wei
Qiang Zhang
P2P Lending Risk Contagion Analysis Based on a Complex Network Model
Discrete Dynamics in Nature and Society
author_facet Qi Wei
Qiang Zhang
author_sort Qi Wei
title P2P Lending Risk Contagion Analysis Based on a Complex Network Model
title_short P2P Lending Risk Contagion Analysis Based on a Complex Network Model
title_full P2P Lending Risk Contagion Analysis Based on a Complex Network Model
title_fullStr P2P Lending Risk Contagion Analysis Based on a Complex Network Model
title_full_unstemmed P2P Lending Risk Contagion Analysis Based on a Complex Network Model
title_sort p2p lending risk contagion analysis based on a complex network model
publisher Hindawi Limited
series Discrete Dynamics in Nature and Society
issn 1026-0226
1607-887X
publishDate 2016-01-01
description This paper analyzes two major channels of P2P lending risk contagion in China—direct risk contagion between platforms and indirect risk contagion with other financial organizations as the contagion medium. Based on this analysis, the current study constructs a complex network model of P2P lending risk contagion in China and performs dynamics analogue simulations in order to analyze general characteristics of direct risk contagion among China’s online P2P lending platforms. The assumed conditions are that other financial organizations act as the contagion medium, with variations in the risk contagion characteristics set under the condition of significant information asymmetry in Internet lending. It is indicated that, compared to direct risk contagion among platforms, both financial organizations acting as the contagion medium and information asymmetry magnify the effect of risk contagion. It is also found that the superposition of media effects and information asymmetry is more likely to magnify the risk contagion effect.
url http://dx.doi.org/10.1155/2016/5013954
work_keys_str_mv AT qiwei p2plendingriskcontagionanalysisbasedonacomplexnetworkmodel
AT qiangzhang p2plendingriskcontagionanalysisbasedonacomplexnetworkmodel
_version_ 1716768859864694784