金工ETF点评：宽基ETF单日净流出12.43亿元，传媒、电力设备拥挤度低位

• The report introduces an industry crowding monitoring model to track daily crowding levels of Shenwan primary industry indices. The model identifies high crowding levels in industries such as beauty care, basic chemicals, and utilities, while industries like media and electrical equipment exhibit lower crowding levels[3] - A Z-score model is constructed to monitor ETF product signals. This model calculates rolling measurements to identify potential arbitrage opportunities in ETFs while also warning of potential risks of price corrections[4] - The Z-score model is applied to ETF products, providing signals for potential arbitrage opportunities and highlighting risks associated with price adjustments[4] - The report provides detailed data on ETF fund flows, categorizing them into broad-based ETFs, industry-themed ETFs, style-strategy ETFs, and cross-border ETFs. It highlights the top three funds with the highest inflows and outflows for each category[6] - The industry crowding monitoring model tracks the movement of main funds across industries over the past three trading days, showing significant inflows into industries like automobiles and utilities, while outflows are observed in industries such as electronics and retail[3][11]