Static Game Models and Applications Based on Market Supervision and Compliance Management of P2P Platform

This article focuses on the two-party static game between market supervisory organization and peer-to-peer (P2P) lending platform. Considering 4 game modes with both “strong supervision” and “weak supervision” of market supervisory organization and “compliance management” and “noncompliance manageme...

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Main Authors: Sulin Pang, Junkun Yang, Rongzhou Li, Jun Cao
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2020/8869132
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spelling doaj-de1703a36c8a4c7bb7f75304d6782c192020-11-25T04:07:56ZengHindawi LimitedMathematical Problems in Engineering1563-51472020-01-01202010.1155/2020/88691328869132Static Game Models and Applications Based on Market Supervision and Compliance Management of P2P PlatformSulin Pang0Junkun Yang1Rongzhou Li2Jun Cao3Turkish General StaffTurkish General StaffDepartment of SurgeryDepartment of Industrial EngineeringThis article focuses on the two-party static game between market supervisory organization and peer-to-peer (P2P) lending platform. Considering 4 game modes with both “strong supervision” and “weak supervision” of market supervisory organization and “compliance management” and “noncompliance management” of P2P lending platform, the paper establishes a static game model between P2P lending platform and market supervisory organization and solves the market equilibrium solutions. Based on income, cost, disguised cost, and fine of P2P lending platform and income, cost, and reward of market supervisory organization, it discusses conditional strategies that P2P lending platform selects “compliance management” or “noncompliance management” and that market supervisory organization selects “strong supervision” or “weak supervision,” respectively. Furthermore, the relevant influencing factors are analyzed which come from 18 P2P lending platforms in Guangdong Province of China, and the conclusions were in good agreement with the actual market. The research has scientific guiding significance.http://dx.doi.org/10.1155/2020/8869132
collection DOAJ
language English
format Article
sources DOAJ
author Sulin Pang
Junkun Yang
Rongzhou Li
Jun Cao
spellingShingle Sulin Pang
Junkun Yang
Rongzhou Li
Jun Cao
Static Game Models and Applications Based on Market Supervision and Compliance Management of P2P Platform
Mathematical Problems in Engineering
author_facet Sulin Pang
Junkun Yang
Rongzhou Li
Jun Cao
author_sort Sulin Pang
title Static Game Models and Applications Based on Market Supervision and Compliance Management of P2P Platform
title_short Static Game Models and Applications Based on Market Supervision and Compliance Management of P2P Platform
title_full Static Game Models and Applications Based on Market Supervision and Compliance Management of P2P Platform
title_fullStr Static Game Models and Applications Based on Market Supervision and Compliance Management of P2P Platform
title_full_unstemmed Static Game Models and Applications Based on Market Supervision and Compliance Management of P2P Platform
title_sort static game models and applications based on market supervision and compliance management of p2p platform
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1563-5147
publishDate 2020-01-01
description This article focuses on the two-party static game between market supervisory organization and peer-to-peer (P2P) lending platform. Considering 4 game modes with both “strong supervision” and “weak supervision” of market supervisory organization and “compliance management” and “noncompliance management” of P2P lending platform, the paper establishes a static game model between P2P lending platform and market supervisory organization and solves the market equilibrium solutions. Based on income, cost, disguised cost, and fine of P2P lending platform and income, cost, and reward of market supervisory organization, it discusses conditional strategies that P2P lending platform selects “compliance management” or “noncompliance management” and that market supervisory organization selects “strong supervision” or “weak supervision,” respectively. Furthermore, the relevant influencing factors are analyzed which come from 18 P2P lending platforms in Guangdong Province of China, and the conclusions were in good agreement with the actual market. The research has scientific guiding significance.
url http://dx.doi.org/10.1155/2020/8869132
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