The Evaluation Model Analysis on Credit Crisis Based on Data Mining and Nonlinear Regression Method

Ai Wen Yang

doi:10.4028/www.scientific.net/AMM.427-429.2898

Paper Titles

Research and Design of Broadband Trunking Communication Server Subsystem
p.2878

Research on the Robustness of Peer-to-Peer Overlay
p.2884

Research on the Combination of Entity Marketing and Network Marketing
p.2888

Computer Life Assessment and Equipment Identification Based on Fuzzy Evaluation Algorithm
p.2893

The Evaluation Model Analysis on Credit Crisis Based on Data Mining and Nonlinear Regression Method
p.2898

A Study and Implementation of Network Analysis for Mobile GIS
p.2903

Application on Campus Dormitory Management System Based on WiFi Technology
p.2908

The Distributions and Moments of the First Entrance Time for Nonhomogeneous Semi-Markov Process
p.2913

Social Networks and Job Performance: The Interaction Effect of Structure Properties
p.2917

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429The Evaluation Model Analysis on Credit Crisis...

The Evaluation Model Analysis on Credit Crisis Based on Data Mining and Nonlinear Regression Method

Abstract:

As a result of government's macroeconomic regulation, some regions of China have suffering financial disturbance,which makes some small enterprises close down because of capital chain rupture.The guarantee industry is an part of the construction of social credit system, and its survival and development are a very serious challenge now.Medium-sized enterprise security crisis which happened over the past two years in Zhejiang province is overall analyzed in this paper.This paper digs out its internal factors which mainly reflect in two aspects,and analyzes two primary causes why security crisis happens by using mathematical model.And it puts forward corresponding measures to solve the credit risks in order to provide feasible suggestions for ensuring the safety guarantee.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

2898-2902

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.2898

Citation:

Cite this paper

Online since:

September 2013

Authors:

Ai Wen Yang

Keywords:

Curve Fitting, Data Mining (DM), Evaluation Model, Least-Square Method (LSM), Mutual Relations, Regression Analysis

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] ZhengYili. Credit crisis in Zhejiang mutual guarantee area: Four enterprise implicated 43 companies. Economic Observer, 2011(9): 14-17.

Google Scholar

[2] GaoZhenran. Mutual insurance crisis cause by Zhejiang furniture industry. China Construction News, 2011(2): 78-82.

Google Scholar

[3] An Hexiang, Zhang Jia. Trade cost and mutual secured financing of private small and medium enterprise. Journal of Hebei University, 2009(4): 54-59.

Google Scholar

[4] Liu Zhirong. National small and medium-sized enterprise financing problem research. Finance Teaching and Research , 2009(1): 71-73.

Google Scholar

[5] Ba jinsong. China's small and medium enterprise credit guarantee model from experience of Zhejiang mode,. Shanghai Financial, 2012(9): 143-145.

Google Scholar

[6] Peng Jiangyuan. Small and medium enterprises credit guarantee system based on mutual guarantee construction . Journal of Financial Research, 2008(2): 12-16.

Google Scholar

[7] Hao Liping, Hu Xinyue, Li li. Artificial neural networks analysis mode of commercial bank credit risk. System Engineering-Theory&Practice, 2011(5): 122-126.

Google Scholar