Volume 3, Issue 1, May 2013, Pages 44 - 51
Types of Credit Risks and Strategies to Improve Risk Identification by Internet of Intelligences
Available Online 1 May 2013.
- https://doi.org/10.2991/jrarc.2013.3.1.6How to use a DOI?
- Credit risk; Customer; Bank; Government; Internet of intelligences
- Today, people mainly consider credit risks from view of powerful players. The role of the Internet in the credit risk management is not fully. In this paper, we have a comprehensive look at the credit risks, so that, suggest two concepts: binary credit risk and triad credit risk. The Internet of intelligences is introduced to improve the recognition of credit risk. This paper shows the intensions of three binary credit risks, respectively, as well as overviews the main methods to analyze them. The study shows that, the bank’s customer credit risk is a simple credit risk. The indirect feeling strategy in internet of intelligences can improve the recognition of credit risk that would be seriously affected by changes in the political, economic and social environment.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - Chongfu Huang PY - 2013 DA - 2013/05 TI - Types of Credit Risks and Strategies to Improve Risk Identification by Internet of Intelligences JO - Journal of Risk Analysis and Crisis Response SP - 44 EP - 51 VL - 3 IS - 1 SN - 2210-8505 UR - https://doi.org/10.2991/jrarc.2013.3.1.6 DO - https://doi.org/10.2991/jrarc.2013.3.1.6 ID - Huang2013 ER -