Credit Risk Management

Author: Meng Qingfu
Publisher:
Publish Date: 2006-12-01
Features: This textbook aims to help readers gain an in-depth understanding of the sources and causes of credit risk, as well as the entire process of credit risk management, including the various theories, techniques, and methods used in the process. It comprehensively and systematically introduces the fundamental knowledge of credit risk management. It covers credit risk management models and methods, such as the Z-score model, Logit model, artificial neural networks, and fuzzy analysis. It explores the current status and characteristics of credit risk in industries such as commercial banking, securities, insurance, and others. Through case studies, readers gradually master the process, tools, and problem-solving procedures of credit risk management.