Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)

Risk Forecast Model of P2P Network Loan Based on Grey System

Authors
Cong Xu, Cheng Wang
Corresponding Author
Cong Xu
Available Online February 2018.
DOI
10.2991/ifmeita-17.2018.76How to use a DOI?
Keywords
Risk forecast; P2P Network Loan; GM (1,1) model; Comprehensive development index.
Abstract

This paper studied the problem of risk forecast for the P2P network loan, and established a GM (1,1) grey forecasting model to forecast the risk. In this model, the least square method is used for data fitting, and an empirical analysis is given by using the statistical data in three kinds of companies' comprehensive development index from August to December in 2017. The conclusion can be drawn that the higher the comprehensive development index, the more stable the corresponding P2P company, and also the less risk of the company.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2018
ISBN
10.2991/ifmeita-17.2018.76
ISSN
2352-5398
DOI
10.2991/ifmeita-17.2018.76How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Cong Xu
AU  - Cheng Wang
PY  - 2018/02
DA  - 2018/02
TI  - Risk Forecast Model of P2P Network Loan Based on Grey System
BT  - Proceedings of the 2nd International Forum on Management, Education and Information Technology Application (IFMEITA 2017)
PB  - Atlantis Press
SP  - 449
EP  - 452
SN  - 2352-5398
UR  - https://doi.org/10.2991/ifmeita-17.2018.76
DO  - 10.2991/ifmeita-17.2018.76
ID  - Xu2018/02
ER  -