The Research on Credit Risk Assessment Model of Agriculture-Related Organizations Based on Set of Theoretical

Gang LÜ, Yang YANG, Zonfang ZHOU

Abstract


The credit of agriculture-related organizations has a stronger dynamic uncertainty than the general main credit. Although the traditional assessment model can evaluate the main credit from different aspect, it stresses the independence of the object and forced the uncertainty into the certainty to deal with. These methods do not suit for the agriculture-related organizations which have loosely organized and extensive internal links. This paper presents the set of the set of theoretical to integrate the existing assessment model. Also the paper established the credit risk assessment model suit for agriculture-related organization. The research should have some theoretical value and practical significance for the assessment of credit risk of agriculture-related organizations.

Key words: Set of theoretical; Agriculture-related organization; Credit risk; Assessment model


References


WANG, Jing (n.d.). Study on Financial Credit and Financial Supports for Economic Organization Involving in Agriculture (Doctor thesis). Xi’an, Northwest A & F University.

LI, Q. B. (2003). The Two Paths of Development of Peasant Intermediary Organization. Economic Issues, 3, 34-36.

LI, H. W. (n.d.). Choice of Agricultural Financial System in China (Doctor thesis). Chengdu: Southwestern University of Finance and Economics.

Merton, R. (1974). On the Pricing of Corporate Debt: The Risk Structure of Interest Rates. Journal of Finance, 29, 449-470.

Jarrow, R. A., & Turnbull, S. (1995). Pricing Derivatives on Financial Securities Subject to Credit Risk. Journal of Finance, 50, 53-86.

Lando, D. (1998). On Cox Processes and Credit Risk Securities. Derivatives Research, 2, 99-120.

LIU, W. R., XIAO, M., & ZHOU, Z. F. (2010). Empirical Study on the Credit Risk of Enterprise Group Using BP Neural Networks. China Management Magaine, 10, 38-43.

LAI, J., XIAO, M., & ZHOU, Z. F. (n.d.). Empirical Study on Forecasting Financial Distress of Listed Enterprise Groups Based on Factorial Analysis and Logistic Regression Model. The Fourth Annual Meeting of Chinese Management.

ZHANG, M., & ZHOU, Z. F. (2009). An Evaluation Model for Credit Risk of Enterprise Based on Multi-Objective Programming and Support Vector Machines. China Soft Science, 4, 185-190.


WANG, J., HUO, X. X., & ZHOU, Z. F. (2011). Research on the Mechanism of Financial Guarantee Under the Pattern of Farmers’ Cooperative Organizations. Rural Economy, 1, 78-81.


WANG, J., & ZHU, M. H. (2011). Research on Risk Evaluation Method of Rural Small Credit Loans Based on Catastrophe Theory. Financial Theory & Practice, 7, 20-23.


WANG, J., HUO, X. X., & ZHOU, Z. F. (2011). Comparison and Analysis of the Tracking Error of Shanghai Securities 500ETF and 180ETF Based on the Theory of Set. Journal of Northwest A & F University, 11, 59-71.


LI, Y. F., & ZHOU, Z. F. (2011). Research on Model for Evaluating Risks of Venture Capital Projects. Journal of Risk Analysis and Crisis Response, 1(2), 142-148.




DOI: http://dx.doi.org/10.3968/j.mse.1913035X20120604.805

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