Investors' Financing Risk Prediction in Crowd-funding Platform

DOI

10.2991/icem-17.2018.120How to use a DOI?

Keywords

Crowd-funding; Financing risk; Neural network model; Risk prediction

Abstract

Abstract. Internet finance is a popular trend nowadays. The financing risk is an issue that can not be neglected. This paper uses the data of "Roll call time" crowd-funding platform to construct a forecast model of financing risk based on neural network to study the disclosure of personal information and expected return . The impact of the forecast on the financing risk: there is "cater" phenomenon in the disclosure of personal information, and the expected return of the project prospect has a positive impact on the forecast. This provides the basis for more comprehensive risk forecasting and sound credit rating evaluation.

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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TY  - CONF
AU  - Hongjian Li
AU  - Yan Shao
PY  - 2018/01
DA  - 2018/01
TI  - Investors' Financing Risk Prediction in Crowd-funding Platform
BT  - Proceedings of the 2017 7th International Conference on Education and Management (ICEM 2017)
PB  - Atlantis Press
SP  - 598
EP  - 602
SN  - 2352-5428
UR  - https://doi.org/10.2991/icem-17.2018.120
DO  - 10.2991/icem-17.2018.120
ID  - Li2018/01
ER  -