清华金融评论·2025-05-25 10:33Core Viewpoint - The article emphasizes the need for financial institutions to rethink their operational models in light of three major changes: functional positioning, digital intelligence, and the era of existing stock. It advocates for a customer-centric "Good Standard System" to reshape credit risk control logic and promote high-quality development in the financial sector, providing a practical model for China's financial system [1]. Group 1: Challenges of Traditional Credit Risk Control Models - Traditional credit risk control models rely heavily on financial indicators and collateral guarantees, which limits their effectiveness in risk assessment. This approach often leads to a preference for clients with sufficient collateral, resulting in various limitations such as the lagging nature of financial data and the inability to adapt to market fluctuations [3]. - The reliance on static financial metrics can lead to "adverse selection" and "moral hazard," where financial institutions may lend to clients with poor credit conditions, increasing the risk of non-performing loans [3]. Group 2: Imbalance in Financial Resource Allocation - Financial institutions tend to favor clients with strong financial standings, leading to a "Pareto principle" resource allocation where a majority of financial resources are concentrated in a few sectors, neglecting the needs of small and medium-sized enterprises (SMEs) and private enterprises [5]. - This imbalance results in significant challenges for the real economy, as many SMEs face difficulties in obtaining financing, which hampers their growth and the overall transformation of the economy [5]. Group 3: Lack of a Social Value Evaluation System - The absence of a comprehensive social value evaluation system hinders financial institutions from effectively assessing clients' social contributions, which could guide resource allocation towards more socially responsible areas [6]. - Overemphasis on short-term profits can lead to financial risks and social issues, as institutions may invest in high-risk areas without considering their social responsibilities [6]. Group 4: Constructing the "Good Standard System" - To address these challenges, there is a need to reconstruct the positioning and value of finance, prioritizing functionality over profitability. This involves moving away from traditional financial metrics and developing a more holistic financial evaluation system that incorporates social value [8]. - The new system should assess clients based on their social responsibility, environmental contributions, and governance, rather than solely on financial status [10]. Group 5: Quantifying Customer Goodness Levels - The "Good Standard System" can be developed by creating a negative list for undesirable behaviors and a scoring system for positive contributions. This dual scoring approach will help categorize clients into different "goodness" levels, influencing their credit ratings and access to financial resources [11]. - Higher-rated clients may receive benefits such as relaxed credit conditions and preferential treatment, while lower-rated clients will face stricter controls and potential denial of new credit [11].