金工ETF点评：跨境ETF单日净流入32.12亿元，煤炭、环保、石化拥挤变幅较大

• The industry crowding monitoring model was constructed to monitor the crowding level of Shenwan primary industry indices daily. The model identifies industries with high crowding levels, such as electric power equipment and environmental protection, while industries like non-bank financials exhibit lower crowding levels. The model also tracks significant changes in crowding levels for industries like environmental protection, coal, and petrochemicals[3] - The Z-score model for premium rate was developed to screen ETF products with potential arbitrage opportunities. The model uses rolling calculations to identify ETFs with significant deviations from their fair value, providing signals for potential trades while warning of possible price corrections[4] - The Z-score model for premium rate was applied to ETF products, including broad-based ETFs, industry-themed ETFs, style-strategy ETFs, and cross-border ETFs. The model identified top funds with net inflows and outflows, such as the A500ETF fund (+9.14 billion yuan) and the Shanghai 50ETF (-11.95 billion yuan), respectively[5][6] - The industry crowding monitoring model and Z-score model for premium rate provide valuable insights into market dynamics and potential trading opportunities. However, the models require continuous updates and validation to ensure accuracy and reliability in changing market conditions[3][4]