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忙信贷收官 储来年项目 银行开启“双线作战”
Core Insights - As the fourth quarter begins, multiple banks are adopting a "dual-line operation" strategy, focusing on both completing annual credit targets and preparing for next year's projects [1][2] - Many banks have already completed their annual credit issuance goals, with a significant increase in lending to technology and green finance sectors [2] - Banks are actively reserving projects for next year, particularly targeting high-tech, green, and small and micro enterprises [3] Group 1: Credit Issuance and Strategy - After the National Day and Mid-Autumn Festival holidays, several banks are racing to finalize their credit issuance, with some having already met their annual targets [2] - A notable increase in credit issuance has been observed in the third quarter, particularly for technology and green finance enterprises, with some banks reporting significant growth in consumer loans during holiday periods [2] - Banks are focusing on foreign trade enterprises and enhancing digital products to support trade financing and risk management [2] Group 2: Project Preparation for Next Year - Banks are concentrating on project reserves for the upcoming year, with a focus on key sectors such as high-tech and specialized enterprises [3] - The project reserve strategy is aligned with the financial sector's "five major articles," emphasizing support for technology and small enterprises [3] - Some banks are implementing separate credit plans to ensure targeted support for green finance, technological innovation, and rural revitalization [3] Group 3: Competitive Landscape - The banking sector is experiencing intense competition characterized by "too many monks and too little porridge," leading to a perception of product homogeneity [4] - To combat this, banks are innovating customer acquisition methods and upgrading services to attract quality clients and optimize credit structures [5] - Digital tools are being utilized to enhance customer engagement and streamline credit processes, with some banks developing data models to better understand client needs [5]