Group 1 - The fluctuation in July credit data is influenced by multiple factors, including seasonal variations and changes in credit demand, with a noted decrease in credit demand from small and medium-sized enterprises (SMEs) due to the clearing of overdue accounts [1] - The recent efforts to clear overdue payments have led to large enterprises reducing payment terms to within 60 days for SMEs, which may decrease loan demand but improve cash flow and operational vitality for these businesses [1] - The need to identify effective credit demand is crucial for banks to ensure stable and sustainable operations, especially in a context where overall effective demand in the real economy is weak [1] Group 2 - Some leading enterprises do not lack funds, yet financial institutions continue to engage in disorderly competition by lowering loan rates to attract these large clients, which does not represent effective credit demand [2] - As the economic structure transitions, traditional credit demand is decreasing while demand in new growth areas is increasing, necessitating financial institutions to adapt their strategies and explore effective credit demand in niche markets [2] - Monthly credit data should be analyzed comprehensively, considering seasonal and external shock factors, as fluctuations in financial data often occur during significant periods such as mid-year and year-end [3] Group 3 - It is important to analyze monthly new loan data in conjunction with other metrics, such as cumulative increments and balance growth rates, rather than solely focusing on monthly increments or changes [3] - As of the end of July, the balance of RMB loans grew by 6.9% year-on-year, indicating a solid support from credit for the real economy, which remains above the nominal economic growth rate [3]
业内专家:银行应在细分市场挖掘有效信贷需求
Shang Hai Zheng Quan Bao·2025-08-13 17:48