Journal of Risk Analysis and Crisis Response

Volume 3, Issue 1, May 2013, Pages 22 - 26

A Risk Assessment Model based on Attribute Theory

Authors
Jiali Feng, Tao Sheng
Corresponding Author
Jiali Feng
Available Online 1 May 2013.
DOI
https://doi.org/10.2991/jrarc.2013.3.1.3How to use a DOI?
Keywords
Qualitative theory; Interest rate; Economy
Abstract
Since the global financial crisis in 2008, the Chinese government has invested 4000 billion to maintain the economic growth. And the investment made the inflation became more seriously. However, the investment has led to high inflation rate. To fight inflation, it is important to understand the effects of changes in interest rates, which is itself a complicate issue. This article investigated the roles and the interrelationship of five main parties that involved in the issue using Attribute Theory method. These 5 main parts are Banks, Government, Enterprises,Domestic capital and International capital. Each of the 5 main parties was considered to consist of 5 attributes, including agriculture, construction, service, manufacturing and mining. In principle, these 5 main parties each directly play a role in the changes of interest rate, and, at the same time, affect each other. Here we used the Attribute Theory method to investigate how the five parties affect the interest rate and their impacts on each other. As a result, we built a mathematical model to provide guidance on determining the interest rates to properly deal with various economical issues.
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This is an open access article distributed under the CC BY-NC license.

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
3 - 1
Pages
22 - 26
Publication Date
2013/05
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
https://doi.org/10.2991/jrarc.2013.3.1.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Jiali Feng
AU  - Tao Sheng
PY  - 2013
DA  - 2013/05
TI  - A Risk Assessment Model based on Attribute Theory
JO  - Journal of Risk Analysis and Crisis Response
SP  - 22
EP  - 26
VL  - 3
IS  - 1
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2013.3.1.3
DO  - https://doi.org/10.2991/jrarc.2013.3.1.3
ID  - Feng2013
ER  -