Golden Ten Data reported on May 23 that since the beginning of this year, a number of public offering institutions, including China Europe Fund, Ping An Fund, Industrial Securities Global Fund, Bank of Shanghai Fund, etc., have reported ETF-FOF products, trying to explore the idea of FOF portfolio to solve this problem. FOF, known as the "professional buyer" of funds, plays an important role in the allocation of residents' wealth. Compared with traditional FOF products, the reporter learned from industry insiders that the advantages of ETF-FOF products are mainly reflected in the high efficiency of capital use, relatively low fees, and the ability to disclose valuations in "T+1" like other ordinary funds. However, in the face of complex ETF products in the market, the ETF-FOF strategy puts forward higher requirements for the macroeconomic research, market analysis, and asset allocation capabilities of the investment research team of public offering institutions, and the combination of "quantitative + qualitative" may contribute to scientific asset allocation.
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The "professional buyer" of funds is being innovative, and one-click "packaging" of ETFs is gradually becoming a new trend.
Golden Ten Data reported on May 23 that since the beginning of this year, a number of public offering institutions, including China Europe Fund, Ping An Fund, Industrial Securities Global Fund, Bank of Shanghai Fund, etc., have reported ETF-FOF products, trying to explore the idea of FOF portfolio to solve this problem. FOF, known as the "professional buyer" of funds, plays an important role in the allocation of residents' wealth. Compared with traditional FOF products, the reporter learned from industry insiders that the advantages of ETF-FOF products are mainly reflected in the high efficiency of capital use, relatively low fees, and the ability to disclose valuations in "T+1" like other ordinary funds. However, in the face of complex ETF products in the market, the ETF-FOF strategy puts forward higher requirements for the macroeconomic research, market analysis, and asset allocation capabilities of the investment research team of public offering institutions, and the combination of "quantitative + qualitative" may contribute to scientific asset allocation.