Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)

The Research on the SME's Collateral Credit Rationing under Loan Risk Compensation Mechanism

Authors
Changbing Yang, Mu Zhang
Corresponding Author
Changbing Yang
Available Online November 2017.
DOI
10.2991/wrarm-17.2017.24How to use a DOI?
Keywords
Loan Risk Compensation; The Collateral Credit Rationing Model; SME; Government
Abstract

This paper discusses the function of loan risk compensation in the collateral credit rationing model.According to the derivation of my model, we find when the bank have some requirements on interest and collateral, at the same time, we add the loan risk subsidy variable into the above model, loan risk subsidy can lower the bank's collateral requirements for the enterprise,therefore, we can conclude that loan risk compensation can effectively alleviate the credit rationing faced by enterprises.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
10.2991/wrarm-17.2017.24
ISSN
1951-6851
DOI
10.2991/wrarm-17.2017.24How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Changbing Yang
AU  - Mu Zhang
PY  - 2017/11
DA  - 2017/11
TI  - The Research on the SME's Collateral Credit Rationing under Loan Risk Compensation Mechanism
BT  - Proceedings of the Fifth Symposium of Risk Analysis and Risk Management in Western China (WRARM 2017)
PB  - Atlantis Press
SP  - 134
EP  - 139
SN  - 1951-6851
UR  - https://doi.org/10.2991/wrarm-17.2017.24
DO  - 10.2991/wrarm-17.2017.24
ID  - Yang2017/11
ER  -