大公国际：企业过度融资行为及风险识别，构建智能化风险预警系统

Group 1: Over-Financing Behavior - Over-financing occurs when a company's interest-bearing debt exceeds its operational needs, leading to liquidity risks and potential defaults[3] - Key indicators for identifying over-financing include total debt limits, financing channels/costs, debt structure/asset quality, and cash flow balance[6] - Companies often face excessive financing costs that surpass their profitability, resulting in an inability to meet interest payments[3] Group 2: Risk Transmission Stages - The risk transmission process can be divided into three stages: early, mid, and late risk explosion phases[9] - In the early stage, companies may experience rapid debt accumulation due to increased financing needs, leading to potential over-financing[9] - The mid-stage sees debt levels approaching safety margins, with financing conditions becoming increasingly stringent and costs rising[11] Group 3: Risk Warning System - A smart risk warning system can be constructed using AI to monitor historical data, industry trends, and macroeconomic indicators[14] - Different warning levels (blue, yellow, orange, red) can be established based on the severity of over-financing indicators and risk levels[13] - The system aims to provide early warnings during the transition from early to mid-risk phases, allowing for timely interventions[13]