ETF周报（20250407-20250411）-20250414

Report Industry Investment Rating - Not provided in the content Core Viewpoints - The report analyzes the secondary market situation, ETF product profiles including market performance, fund flows, trading volume, margin trading, and new fund launches and listings from multiple perspectives such as different categories, tracking indices, industry sectors, and themes during the sample period from April 7 - 11, 2025 [1][2] Summary by Directory 1 Secondary Market Overview - Among A - shares, overseas major broad - based indices, gold index, and Nanhua Commodity Index, the S&P 500, SGE Gold 9999, and Nikkei 225 had top weekly returns of 5.70%, 2.17%, and - 0.58% respectively. The PE valuation quantile of the Sci - 50 was the highest at 91.32%, and that of the Nikkei 225 was the lowest at 1.23% [9] - In the Shenwan primary industries, agriculture, forestry, animal husbandry and fishery, commerce and retail, and national defense and military industry had top returns of 3.28%, 2.88%, and 0.28% respectively, while power equipment, communication, and machinery had lower returns of - 8.09%, - 7.67%, and - 6.78% respectively. The industries with the highest valuation quantiles were social services, steel, and computer at 97.52%, 92.15%, and 83.47% respectively, and those with lower ones were comprehensive, non - bank finance, and agriculture, forestry, animal husbandry and fishery at 0.00%, 1.24%, and 3.72% respectively [14] 2 ETF Product Profiles 2.1 ETF Market Performance - Based on product types and holdings, ETFs were classified into stock, QDII, commodity, bond, and money - market ETFs. Among them, commodity ETFs had the best average performance with a weighted average return of 2.34%, and QDII ETFs had the worst with - 5.45% [18] - Classified by tracking indices and listing sectors, Japanese - stock and Sci - tech innovation board - related ETFs performed better with weighted average returns of - 0.85% and - 1.04% respectively, while Hong Kong - stock and ChiNext - related ETFs performed worse with - 7.05% and - 7.03% respectively [18] - Classified by industry sectors, consumer - sector ETFs had the best average performance with a weighted average return of 0.22%, and biomedical - sector ETFs had the worst with - 5.78% [23] - Classified by themes, chip semiconductor and military - industry ETFs performed better with weighted average returns of 1.31% and 0.68% respectively, while robot and new - energy ETFs performed worse with - 8.05% and - 7.78% respectively [23] 2.2 ETF Fund Inflows and Outflows - From the perspective of different categories, broad - based ETFs had the largest net inflow of 1746.18 billion yuan, and style ETFs had the smallest of 43.12 billion yuan [27] - From the perspective of tracking indices and listing sectors, CSI 300 ETFs had the largest net inflow of 1058.44 billion yuan, and MSCI China A - share concept ETFs had the smallest of - 0.51 billion yuan [27] - From the perspective of industry sectors, traditional manufacturing - sector ETFs had the largest net inflow of 36.70 billion yuan, and financial real - estate - sector ETFs had the smallest of - 19.83 billion yuan [28] - From the perspective of themes, dividend and military - industry ETFs had the largest net inflows of 35.78 billion yuan and 22.24 billion yuan respectively, and chip semiconductor and non - bank ETFs had the smallest of - 22.28 billion yuan and - 14.60 billion yuan respectively [28] 2.3 ETF Trading Volume - From the perspective of different categories, commodity ETFs had the largest increase in the average daily trading volume change rate at 84.07%, and money - market ETFs had the smallest at 10.27% [35] - From the perspective of tracking indices and listing sectors, CSI 300 ETFs had the largest increase in the average daily trading volume change rate at 132.86%, and MSCI China A - share concept ETFs had the smallest at 8.86% [38] - From the perspective of industry sectors, consumer - sector ETFs had the largest increase in the average daily trading volume change rate at 55.54%, and cyclical - sector ETFs had the smallest at 1.72% [41] - From the perspective of themes, chip semiconductor and dividend ETFs had the largest average daily trading volumes in the past 5 days of 81.78 billion yuan and 42.37 billion yuan respectively. Chip semiconductor and consumer electronics ETFs had the largest increases or the smallest decreases in the average daily trading volume change rate at 53.77% and 48.28% respectively, while low - carbon environmental protection and new - energy ETFs had the largest decreases or the smallest increases at - 9.52% and 0.39% respectively [44] 2.4 ETF Margin Trading - During the sample period, the net margin purchase of all equity ETFs was 1.265 billion yuan, and the net short - selling was 0.178 billion yuan. Huatai - Peregrine CSI 300 ETF had the largest net margin purchase, and Southern CSI 500 ETF had the largest net short - selling [49] 2.5 ETF New Launches and Listings - During the sample period, 4 funds were established and 11 funds were listed [2][51]