Modeling the decision-making process of lenders based on blockchain technology

JG Umarovich… - … Conference on Information …, 2021 - ieeexplore.ieee.org
In this article, the credit system is finalized to ensure the implementation of the Decree of the
President of the Republic of Uzbekistan dated May 12, 2020 No. 5992 «On the Strategy for …

Performance analysis of credit scoring models on Lending Club data

M Polena - 2017 - dspace.cuni.cz
In our master thesis, we compare ten classification algorithms for credit scor-ing. Their
prediction performances are measured by six different classification performance …

Portfolio optimization for an P2P investor on Zonky

F Jonáš - 2019 - dspace.cuni.cz
This thesis analyzes the Czech peer-to-peer lending platform Zonky. The goal was to find
the optimal portfolio for a risk-averse investor investing in Zonky loans. For this purpose, the …

Portfolio diversification on P2P loan markets

P Polák - 2017 - dspace.cuni.cz
This thesis presents ways how investors can construct optimal portfolios on on-line peer-to-
peer lending platforms. Thesis uses standard portfolio theory and unique dataset from …

The role of governmental regulation in the development of the Internet finance market (on the example of China)

L Chang - 2018 - dspace.spbu.ru
This thesis summarizes the current governmental regulation of Internet Finance Market, and
analyzes the evolution of government role orientation in China. Study found that: In China's …

Risks Faced by Internet Financial Participants and Their Countermeasures

LIU Wei, LIU Min, P Fu-dong - Journal of Southwest China …, 2018 - xbgjxt.swu.edu.cn
Internet finance promotes the financial efficiency, making daily transactions more convenient
and cheaper. But it also poses a huge risk at the same time. Therefore, it's been an urgent …

[引用][C] 美国P2P 网贷平台的法律规范及对中国的启示——以美国Prosper 网站为例

张宏 - 财经界, 2013

[引用][C] 互联网金融发展与监管的文献研究

邓舒仁 - 金融纵横, 2014

[引用][C] 互联网金融发展与监管的文献综述

邓舒仁 - 华北金融, 2014

[引用][C] Can banks survive the next financial crisis? an adversarial deep learning model for bank stress testing

N Malik, PV Singh, U Khan - An Adversarial Deep Learning Model for Bank Stress …, 2018