Group 1 - The report focuses on factor allocation research based on ETFs in the A-share market, providing effective strategies for investors to utilize ETFs for style allocation [2][4] - Style factors significantly influence the returns of A-share strategies, with notable style trends observed over the past decade, such as small-cap value and large-cap growth, leading to substantial excess returns when aligned with main style trends [2][10] - There are currently 107 factor strategy ETFs in China, with a total net asset value of approximately 127.06 billion, representing about 4.09% of the total net asset value of equity ETFs, but these products face challenges in style coverage and liquidity [2][14][17] Group 2 - The report proposes a stock-based ETF factor allocation scheme starting from holding styles, exemplified by the construction of a dividend low-volatility ETF combination that aligns closely with the CSI Dividend Low Volatility Total Return Index [2][26] - The use of ETF style scoring for factor allocation offers significant advantages, allowing for broader coverage of style factors and providing more liquid solutions when the scale of related factor strategy ETFs is small [2][36] - A multi-factor strategy is constructed based on the "anti-involution" policy, focusing on high-quality growth and high-margin safety combinations, with backtesting showing strong performance for both strategies [2][38][51] Group 3 - The report highlights the importance of using a comprehensive ETF selection process to address the limitations of existing factor strategy ETFs, particularly in terms of style coverage and liquidity [2][18][36] - The methodology for constructing the dividend low-volatility ETF combination involves detailed indicator breakdowns and ETF product sorting based on style characteristics [2][26][30] - The performance analysis of the constructed multi-factor strategies indicates a strong correlation with benchmark indices, showcasing the effectiveness of the proposed ETF combinations [2][32][51]