Report Industry Investment Rating - No relevant content provided Core Viewpoints - The report analyzes the secondary market situation, ETF product situation (including market performance, fund inflow and outflow, trading volume, margin trading, and new issuance and listing) of ETF funds from May 12 to May 16, 2025 [1][10][18] Summary by Directory 1 Secondary Market Overview - In the sample period, the S&P 500, Hang Seng Index, and ChiNext Index ranked among the top in weekly returns, at 5.27%, 2.09%, and 1.38% respectively. The PE valuation quantiles of CSI 2000 and STAR 50 were the highest at 96.28%, while that of the Nikkei 225 was the lowest at 22.95% [10] - In the sample period, the beauty care, non - bank finance, and automobile industries ranked among the top in returns, at 3.08%, 2.49%, and 2.40% respectively. The computer, national defense and military industry, and media industries ranked relatively low, at - 1.26%, - 1.18%, and - 0.77% respectively. The industries with the highest valuation quantiles were textile and apparel, beauty care, and banking, at 100.00%, 99.59%, and 98.76% respectively. The industries with lower valuation quantiles were agriculture, forestry, animal husbandry and fishery, comprehensive, and non - ferrous metals, at 1.65%, 3.31%, and 7.23% respectively [14] 2 ETF Product Overview 2.1 ETF Market Performance - QDII ETFs had the best average performance with a weighted average return of 2.53%, while commodity ETFs had the worst average performance with a weighted average return of - 4.58% [18] - ETFs corresponding to US stocks and MSCI China A - share concepts had better market performance, with weighted average returns of 4.73% and 1.43% respectively. STAR - related and CSI 1000 ETFs had worse market performance, with weighted average returns of - 1.25% and - 0.27% respectively [18] - Financial real - estate sector ETFs had the best average performance with a weighted average return of 1.78%, while technology sector ETFs had the worst average performance with a weighted average return of - 1.48% [20] - Non - bank and low - carbon environmental protection ETFs had better performance, with weighted average returns of 2.08% and 1.72% respectively. Chip semiconductor and artificial intelligence ETFs had relatively poor average performance, with weighted average returns of - 1.95% and - 0.90% respectively [20] 2.2 ETF Fund Inflow and Outflow - From the perspective of different types of ETFs, bond ETFs had the largest net fund inflow of 9.342 billion yuan, while broad - based ETFs had the smallest net fund inflow of - 19.259 billion yuan [2][23] - From the perspective of ETF tracking indexes and the listing sectors of their constituent stocks, STAR - related ETFs had the largest net fund inflow of 2.456 billion yuan, while Hong Kong stock ETFs had the smallest net fund inflow of - 7.408 billion yuan [2][23] - From the perspective of industry sectors, technology sector ETFs had the largest net fund inflow of 1.853 billion yuan, while biomedical sector ETFs had the smallest net fund inflow of - 1.521 billion yuan [2][26] - From the perspective of themes, chip semiconductor and military - industry ETFs had the largest net fund inflows of 2.349 billion yuan and 0.248 billion yuan respectively. Dividend and non - bank ETFs had the smallest net fund inflows of - 3.685 billion yuan and - 1.142 billion yuan respectively [2][26] 2.3 ETF Trading Volume - From the perspective of different types of ETFs, QDII ETFs had the largest increase in the average daily trading volume change rate of 18.07%, while commodity ETFs had the largest decrease in the average daily trading volume change rate of - 15.72% [32] - From the perspective of ETF tracking indexes and the listing sectors of their constituent stocks, US stock ETFs had the largest increase in the average daily trading volume change rate of 42.38%, while CSI 300 had the largest decrease in the average daily trading volume change rate of - 12.21% [35] - From the perspective of industry sectors, the financial real - estate sector had the largest increase in the average daily trading volume change rate of 40.46%, while the consumption sector had the largest decrease in the average daily trading volume change rate of - 7.52% [38] - From the perspective of themes, non - bank and chip semiconductor ETFs had the largest average daily trading volumes in the past 5 days, at 3.822 billion yuan and 3.524 billion yuan respectively. Military - industry and non - bank ETFs had the largest increase or the smallest decrease in the average daily trading volume change rate, at 60.37% and 53.07% respectively. Innovative drug and chip semiconductor ETFs had the largest decrease or the smallest increase in the average daily trading volume change rate, at - 7.65% and - 3.62% respectively [39] 2.4 ETF Margin Trading - In the sample period, the net margin purchase of all equity ETFs was - 512 million yuan, and the net short - selling was - 65 million yuan. Huaxia Shanghai Stock Exchange STAR Market 50 ETF had the largest net margin purchase, and Huaxia CSI 1000 ETF had the largest net short - selling [2][44] 2.5 ETF New Issuance and Listing - In the sample period, a total of 3 funds were established and 13 funds were listed [3][46]
ETF周报（20250512-20250516）-20250519
Mai Gao Zheng Quan·2025-05-19 13:17