金工ETF点评：宽基ETF单日净流出109.35亿元，石化、煤炭拥挤变幅较大

• 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 military, agriculture, and media, while industries like automotive and non-bank financials exhibit lower crowding levels. The model also tracks significant changes in crowding levels for industries like petrochemicals and coal[3] - The Z-score premium model was developed to screen ETF products for potential arbitrage opportunities. The model uses rolling calculations to identify ETFs with significant deviations from their intrinsic value, providing signals for potential trades while cautioning against risks of price corrections[4] - Industry crowding monitoring model evaluation: The model effectively identifies industries with varying crowding levels, offering insights into market dynamics and potential investment opportunities[3] - Z-score premium model evaluation: The model provides actionable signals for ETF arbitrage opportunities, but users are advised to remain cautious about potential risks associated with price corrections[4] - Industry crowding monitoring model testing results: The model highlights industries with high crowding levels, such as military, agriculture, and media, and industries with low crowding levels, such as automotive and non-bank financials. It also identifies significant crowding changes in petrochemicals and coal[3] - Z-score premium model testing results: The model identifies ETFs with potential arbitrage opportunities based on their Z-score premium deviations, but specific numerical results are not provided in the report[4]