location: Current position: Home >> Scientific Research >> Paper Publications

Credit rating system for small businesses using the K-S test to select an indicator system

Hits:

Indexed by:期刊论文

Date of Publication:2019-01-14

Journal:MANAGEMENT DECISION

Included Journals:SCIE、SSCI、Scopus

Volume:57

Issue:1

Page Number:229-247

ISSN No.:0025-1747

Key Words:Credit rating; Discriminatory power; Indicator system selection

Abstract:Purpose The purpose of this paper is to propose a system with the highest discriminatory power by selecting an indicator system based on the K-S test according to the unique circumstances of small enterprises. Design/methodology/approach The proposed method relies on calculating the K-S test statistical magnitude of D iteratively to reach a system with the maximum discriminatory power. Findings The empirical results, demonstrated using 3,045 small businesses from a Chinese bank, show that credit rating system should focus on the indicator system's discriminatory power rather than a single indicator's discriminatory power, because the interaction between indicators affects the discriminatory power of the system. Practical implications The proposed method creates a credit rating system with the highest discriminatory power, rather than its indicators, which is a more reasonable and novel approach to credit rating. Originality/value The approach is unique because the final system will have high discriminatory power and has excellent potential for decision support. The authors believe that this contribution is theoretically and practically relevant because credit rating for small business is especially difficult and complicated.

Pre One:一种与市场预期误差最小的信用风险评价模型及实证

Next One:Topological applications of multilayer perceptrons and support vector machines in financial decision support systems