分红资产获部分资金“加仓”，“季季评估分红”中证红利ETF（515080）近5日累获2.37亿元资金净流入

Core Viewpoint - The market is experiencing high-level fluctuations, with dividend assets continuing to attract some market funds for allocation. The China Securities Dividend ETF (515080) has seen significant net inflows recently, indicating investor interest in high-dividend assets amid market volatility [1]. Group 1: Fund Performance - As of September 17, the China Securities Dividend ETF (515080) received a net inflow of nearly 69 million CNY, with a total net inflow of 237 million CNY over the past five days [1]. - The ETF is currently undergoing its third-quarter dividend distribution, with a dividend yield of 0.95%, and the payout is scheduled to be credited on September 22 [1]. - Since its inception, the ETF has distributed dividends 14 times, with a cumulative payout of 3.65 CNY per ten shares, providing investors with a relatively stable and predictable asset allocation option in the A-share market [1]. Group 2: Index and Yield Data - The China Securities Dividend ETF tracks the China Securities Dividend Index, which includes 100 companies known for high cash dividend yields and stable dividend distributions. As of September 17, the latest dividend yield of the index is 4.75% [2]. - The relative performance of the China Securities Dividend total return against the Wind All A 40-day return has dropped to -14.83%, suggesting that low values in this metric may attract incremental capital inflows into dividend assets [3]. Group 3: Market Outlook - According to a report from China Galaxy Securities, the A-share market is likely to continue its upward trend, albeit with short-term volatility risks. The report highlights three main investment themes: improvement in supply-demand dynamics and industry profit recovery, consumer spending supported by policy, and the technology self-reliance direction [4]. - The report emphasizes the importance of focusing on undervalued consumer service sectors and sectors benefiting from rapid development in high-tech industries such as AI, robotics, and semiconductors [4].