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首页论文研究 - 社会借贷中随机森林与神经网络的结合
社交借贷(也称为对等借贷)为客户提供了一个在线借贷的平台。 与借款人和贷方的银行相比,它以其优越的货币优势而Swift受到欢迎。 因此,选择一个可靠的设备非常重要,而大多数平台现在使用的唯一方法是分级系统。 为了更好地防范风险,我们提出了一种将随机森林和神经网络相结合的方法来预测借款人的状况。 我们的数据来自受欢迎的社交贷款平台Lending Club,我们的结果表明我们的方法优于Lending Club的良好借款人等级。
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Journal of Financial Risk Management, 2017, 6, 418-426
http://www.scirp.org/journal/jfrm
ISSN Online: 2167-9541
ISSN Print: 2167-9533
DOI:
10.4236/jfrm.2017.64030 Dec. 29, 2017 418 Journal of Financial Risk Management
Combination of Random Forests and Neural
Networks in Social Lending
Yijie Fu
Shanghai Foreign Language School, Shanghai, China
Abstract
Social lending, also known as peer-to-
peer lending, provides customers with a
platform to borrow and lend money online. It is now rapidly gaining its po
p-
ularity for its superior monetary advantage comparing to banks for both bo
r-
rowers and lenders. Thus, choosing a reliable is very important, whereas the
only method most of the platforms use now is a grading system. In order to
better prevent the risks, we propose a method of combining Random Forest
s
and Neural Network for predicting the borrowers’ status. Our data are
from
Lending Club, a popular social lending platform, and our results indicate that
our method outperforms the lending Club good borrower grades.
Keywords
Peer-to-Peer Lending, Machine Learning Methods,
Random Forests, Neural
Networks
1. Introduction
Peer-to-peer lending is a rapidly growing competitor of traditional financial in-
stitutions. It is the process of lending money to individuals through online ser-
vices. It has gained popularity in the past few years for lenders earning higher
returns than savings and investment products in the banks, while borrowers
loaning at lower interest rates. In P2P lending, lenders are able to choose whom
to lend to. However, this flexibility also brings out the problem that since the
government does not protect risks, lenders will have to take efforts finding the
best borrower based on their limit information, which makes our work extreme-
ly important.
There is a variety of social lending platforms in use today and the most popular
ones are Lending Club, Upstart, Funding Circle, Prosper Marketplace, CircleBack
How to cite this paper:
Fu, Y. J. (2017).
Co
m
bination of Random Forests and Neural
Networks in Social Lending
.
Journal of
Financial Risk Management
, 6,
418-426.
https://doi.org/10.4236/jfrm.2017.64030
Received:
October 26, 2017
Accepted:
December 26, 2017
Published:
December 29, 2017
Copyright © 201
7 by author and
Scientific
Research Publishing Inc.
This work is licensed under the Creative
Commons Attribution International
License (CC BY
4.0).
http://creativecommons.org/licenses/by/4.0/
Open Access


















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