爱无声，心陪伴，国债ETF5至10年(511020)近5个交易日净流入4932.55万元

Group 1 - The current bond market is expected to maintain a volatile or slightly strong trend, with a flat short-end yield curve and a steep long-end yield curve structure [1] - Short-end rates are low but unlikely to rise significantly due to central bank bond purchases and liquidity, which may compress the long-end yield spread, presenting future investment opportunities [1] - The recommendation is to maintain a neutral to slightly high duration in bond portfolios, with a focus on long-end credit and specific government bonds for potential yield spread compression [1] Group 2 - As of November 7, 2025, the 5-10 year government bond ETF index has decreased by 0.05%, while the ETF has seen a 3.38% increase over the past year [2] - The trading volume for the 5-10 year government bond ETF was active, with a turnover of 111.1% and a total transaction value of 1.839 billion yuan [2] - The latest size of the 5-10 year government bond ETF reached 1.655 billion yuan, marking a six-month high [2] Group 3 - The latest share count for the 5-10 year government bond ETF reached 14.1025 million, also a six-month high, with a net inflow of 17.6062 million yuan recently [3] - Over the past five trading days, the total net inflow was 49.3255 million yuan, indicating strong investor interest [3] - The 5-10 year government bond ETF has achieved a 21.63% net value increase over the past five years, ranking in the top 17.68% among index bond funds [3] Group 4 - The maximum drawdown for the 5-10 year government bond ETF in the past six months was 1.09%, compared to a benchmark drawdown of 0.46% [4] - The management fee for the 5-10 year government bond ETF is 0.15%, and the custody fee is 0.05% [5] Group 5 - The tracking error for the 5-10 year government bond ETF over the past month was 0.025%, indicating tight tracking of the underlying index [6] - The index reflects the performance of actively traded government bonds with maturities of 5, 7, and 10 years, calculated using a non-market capitalization weighted method [6]