Investors' Financing Risk Prediction in Crowd-funding Platform
- 10.2991/icem-17.2018.120How to use a DOI?
- Crowd-funding; Financing risk; Neural network model; Risk prediction
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.
- © 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 - 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 -