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...
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Series: | Discrete Dynamics in Nature and Society |
Online Access: | http://dx.doi.org/10.1155/2016/5013954 |
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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 |