细化管理要求 完善治理架构 金融监管总局规范银行市场风险管理

Core Viewpoint - The Financial Regulatory Bureau has released the "Measures for Market Risk Management of Commercial Banks" to enhance capital regulation and standardize business operations, aiming to improve market risk management levels in commercial banks [1][2]. Group 1: Definition and Scope - The new measures clarify the definition of market risk and specify the applicable scope, excluding interest rate risks related to bank books, thereby strengthening the connection with other regulations [2]. - The measures emphasize that market risk arises from adverse changes in market prices such as interest rates, exchange rates, stock prices, and commodity prices, affecting both on-balance-sheet and off-balance-sheet operations of banks [1]. Group 2: Governance Structure - The measures highlight the need to improve the governance structure for market risk, defining the responsibilities of the board of directors, supervisory board, and senior management, and emphasizing the importance of managing market risk at the group consolidation level [2]. Group 3: Management Requirements - The measures detail the requirements for comprehensive market risk management, including risk identification, measurement, monitoring, control, and reporting, as well as enhancing internal model definitions and stress testing requirements [2]. - The implementation of these measures is expected to help banks better understand the relationship between market risk and bank book interest rate risk, thereby strengthening market risk management awareness and capabilities [3]. Group 4: Market Impact - The measures are anticipated to have positive impacts on market risk management, including optimizing governance structures and policy procedures, improving risk appetite and limit systems, and enhancing internal controls and audits [3]. - Additionally, the measures will facilitate the integration of the implementation of the "Commercial Bank Capital Management Measures" with market risk management, ensuring effective internal model validation and monitoring [3].