Corporate payments networks and credit risk rating-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Corporate payments networks and credit risk rating

Published:2019-06-01 Issue:1 Volume:8 Page:
ISSN:2193-1127
Container-title:EPJ Data Science
language:en
Short-container-title:EPJ Data Sci.

Author:

Letizia Elisa^ORCID,Lillo Fabrizio

Funder

Scuola Normale Superiore

H2020 Research Infrastructures

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computer Science Applications,Modelling and Simulation

Link

http://link.springer.com/content/pdf/10.1140/epjds/s13688-019-0197-5.pdf

Reference54 articles.

1. Pozzi F, Di Matteo T, Aste T (2013) Spread of risk across financial markets: better to invest in the peripheries. Sci Rep 3:1665

2. Nier E, Yang J, Yorulmazer T, Alentorn A (2007) Network models and financial stability. J Econ Dyn Control 31(6):2033–2060

3. Treacy WF Carey M (2000) Credit risk rating systems at large US banks. J Bank Finance 24(1):167–201

4. Crouhy M, Galai D, Mark R (2000) A comparative analysis of current credit risk models. J Bank Finance 24(1):59–117

5. Crouhy M, Galai D, Mark R (2001) Prototype risk rating system. J Bank Finance 25(1):47–95

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A complex network analysis approach to bankruptcy prediction using company relational information-based drivers;Knowledge-Based Systems;2024-09

2. Stronger relationships higher risk? Credit risk evaluation based on SMEs network microstructure;Emerging Markets Review;2024-09

3. Liquidity forecasting at corporate and subsidiary levels using machine learning;Intelligent Systems in Accounting, Finance and Management;2024-08-09

4. Collaborative Metapath Enhanced Corporate Default Risk Assessment on Heterogeneous Graph;Proceedings of the ACM Web Conference 2024;2024-05-13

5. Balancing Techniques for Advanced Financial Distress Detection Using Artificial Intelligence;Electronics;2024-04-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3