Big data and credit risk assessment: a bibliometric review, current streams, and directions for future research-Reference-Cited by-同舟云学术

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Big data and credit risk assessment: a bibliometric review, current streams, and directions for future research

Published:2022-10-12 Issue:1 Volume:10 Page:
ISSN:2332-2039
Container-title:Cogent Economics & Finance
language:en
Short-container-title:Cogent Economics & Finance

Author:

Nobanee Haitham¹²³^ORCID,Shanti Hiba¹,Aldhanhani Hind¹,Alblooshi Abdulrahman¹,Alali Essa¹

Affiliation:

1. Department of Accounting & Finance, College of Business, Abu Dhabi University, Abu Dhabi, United Arab Emirates

2. Oxford Center for Islamic Studies, University of Oxford, Oxford, UK

3. Faculty of Humanities & Social Sciences, University of Liverpool, Liverpool, UK

Funder

research

Publisher

Informa UK Limited

Subject

Economics and Econometrics,Finance

Link

https://www.tandfonline.com/doi/pdf/10.1080/23322039.2022.2132638

Reference62 articles.

1. Credit Risk Analysis Using Machine and Deep Learning Models

2. Credit Risk Analysis Using Machine and Deep Learning Models

3. Benefits of relationship banking: Evidence from consumer credit markets

4. ‘All data is credit data’: Constituting the unbanked

5. Credit risk measurement: Developments over the last 20 years

Cited by 4 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. Big data and predictive analytics: A systematic review of applications;Artificial Intelligence Review;2024-06-17

2. Credit risk management: a systematic literature review and bibliometric analysis;The Journal of Credit Risk;2024

3. Characteristics of student loan credit recovery: evidence from a micro-level data set;The Journal of Credit Risk;2024

4. Comprehensive review of different artificial intelligence-based methods for credit risk assessment in data science;Intelligent Decision Technologies;2023-11-20

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