Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

Supply Chain Financial Ecology Model Design and Risk Management Research

Authors
Baosen Wang, Wenjiao Lan, Chunming Fan
Corresponding Author
Baosen Wang
Available Online February 2018.
DOI
https://doi.org/10.2991/csece-18.2018.26How to use a DOI?
Keywords
supply chain finance; financial ecology; operational risk; VaR model
Abstract
Supply chain finance is an emerging model, which treats the core enterprises in the supply chain and the upstream and downstream SMEs as a whole. The commercial banks provide financial services to the entire supply chain. According to the natural ecosystem structure model, this paper summarized the composition of the supply chain financial ecosystem, designed the financial eco-mode of the supply chain, cleverly integrated the financial tree theory, and vividly linked the relationship among the environment, big data platform and enterprises. Through the use of VaR model for operational risk analysis and research, then used Matlab software to get VaR value. This paper used historical data to prove that banks and factoring companies and financial leasing companies strengthen cooperation to reduce operational risk, which also proved the scientific nature of supply chain financial eco-mode design.
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Proceedings
2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
Part of series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/csece-18.2018.26How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Baosen Wang
AU  - Wenjiao Lan
AU  - Chunming Fan
PY  - 2018/02
DA  - 2018/02
TI  - Supply Chain Financial Ecology Model Design and Risk Management Research
BT  - 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.26
DO  - https://doi.org/10.2991/csece-18.2018.26
ID  - Wang2018/02
ER  -