1. Report Industry Investment Rating No information provided in the content. 2. Core Viewpoints of the Report - Last week, the bond market showed weak oscillations, and the scale of the bond ETF market shrank. The net inflows of interest - rate bond ETFs, credit - bond ETFs, and convertible - bond ETFs were -3.276 billion yuan, -4.829 billion yuan, and -1.699 billion yuan respectively, with a total net inflow of -9.804 billion yuan in the bond ETF market. The release of February CPI and foreign trade data, along with geopolitical conflicts, led to inflation concerns and a weak bond market [2][5]. - In the short term, short - term assets are expected to remain dominant due to strengthened inter - bank deposit self - regulation and quarter - end disturbances. If the inter - bank demand deposit rate is reduced, non - bank institutions may accelerate "deposit substitution", boosting the short - term allocation value of short - duration products like short - term financing ETFs. For long - term products, the macro - economic fundamentals are in a "weak recovery" state, and the long - term interest - rate bond ETFs may face difficulties in yield decline. At the quarter - end, there is a marginal tightening of funds, and some bond ETFs may face redemption tests [2][7]. - It is recommended to be cautious about extending the duration and pay attention to credit - bond ETFs with stable coupons and liquidity advantages. There may be arbitrage opportunities in some benchmark - making and science - innovation bond ETFs with significant secondary - market discounts. For convertible - bond ETFs, although the share decreased slightly last week, there is still expansion potential after the "Two Sessions" policies are implemented [2][7]. 3. Summary According to the Directory 3.1 各类债券 ETF 资金净流入情况 - The bond ETF market scale shrank last week. The net inflows of interest - rate bond ETFs, credit - bond ETFs, and convertible - bond ETFs were -3.276 billion yuan, -4.829 billion yuan, and -1.699 billion yuan respectively, with a total net inflow of -9.804 billion yuan. As of March 13, 2026, the bond ETF fund scale was 726.096 billion yuan, down 1.54% from the previous week and 12.44% from the beginning of the year, accounting for 13.82% of the total ETF scale, a decrease of 9 basis points from the previous weekend [5]. - Short - term financing ETFs had a large net inflow of 2.183 billion yuan last week, followed by urban investment bond ETFs and corporate bond ETFs with net inflows of 727 million yuan and 192 million yuan respectively. Science - innovation bond ETFs and benchmark - making credit - bond ETFs had large net outflows, mainly due to deep discounts in the secondary market. Treasury - bond ETFs also had a large net outflow [6]. 3.2 各类债券 ETF 份额走势 - As of March 13, 2026, the shares of treasury - bond, policy - financial - bond, local - bond, benchmark - making credit - bond, science - innovation bond, corporate - bond, short - term financing, urban - investment - bond, and convertible - bond ETFs were 608.04 million shares, 353.12 million shares, 160.66 million shares, 993.44 million shares, 2646.27 million shares, 338.41 million shares, 723.05 million shares, 3294.68 million shares, and 5598.95 million shares respectively, with changes of -3.8%, -1.1%, 0.4%, -3.1%, -1.9%, 0.5%, 2.7%, 2.2%, and -2.1% compared to March 6, 2026, and the total change of bond - type ETF shares was -0.9% [18]. 3.3 各基准做市信用债 ETF 份额及净值走势 - The shares of existing credit - bond ETFs generally declined. As of March 13, 2026, the shares of 8 credit - bond ETFs were 99.46 million shares, 85.41 million shares, 103.54 million shares, 96.47 million shares, 174.83 million shares, 203.50 million shares, 93.00 million shares, and 141.32 million shares respectively, with changes of -3.87%, -3.39%, no change, no change, no change, -7.58%, -0.96%, and -2.08% compared to March 6, 2026 [19]. - The net - value growth of credit - bond ETFs slowed down. As of March 13, 2026, the net values of 8 credit - bond ETFs were 1.0207, 1.0198, 1.0182, 1.0185, 1.0134, 1.0164, 1.0174, and 1.0164 respectively, with changes of 0.02%, 0.01%, 0.01%, 0.01%, no change, no change, -0.01%, and -0.01% compared to March 6, 2026, and changes of 0.14%, 0.13%, 0.12%, 0.12%, 0.11%, 0.11%, 0.11%, and 0.11% compared to the end of last month [21]. 3.4 各科创债 ETF 份额及净值走势 - The science - innovation bond ETFs experienced net redemptions. The total net inflow of shares last week was -46.01 million shares, a decrease of 1.71% from the previous week. The top three products in terms of share size were Science - innovation Bond ETF Jiashi, Science - innovation Bond ETF Yinhua, and Science - innovation Bond ETF Penghua, with 214.54 million shares, 198.49 million shares, and 191.81 million shares respectively. The top three products with net outflows were Science - innovation Bond ETF Jiashi, Science - innovation Bond ETF Yifangda, and Science - innovation Bond ETF Penghua, with net outflows of 12.18 million shares, 12.00 million shares, and 5.00 million shares respectively [26]. - The net - value growth of science - innovation bond ETFs significantly narrowed. As of March 13, 2026, the top - ranked products in terms of net value were Science - innovation Bond ETF Wanjia, Science - innovation ETF Huatai Bairui, and Science - innovation Bond ETF Yongying, with net values of 1.0103, 1.0100, and 1.0099 respectively. The median net values of the first - batch and second - batch science - innovation bond ETFs were 1.0058 and 1.0084 respectively, with no change compared to the previous week. The median net values of products tracking the CSI AAA Science - innovation Bond Index, Shanghai AAA Science - innovation Bond Index, and Shenzhen AAA Science - innovation Bond Index were 1.0079, 1.0063, and 1.0101 respectively, with changes of -0.01%, 0.00%, and +0.01% compared to the previous week [31]. 3.5 上周单只债券 ETF 市场表现情况 - Most bond ETF products had a decline in net value. The 30 - year Treasury Bond ETF, 30 - year ETF Boshi, and Convertible Bond ETF Haifutong led the decline, with decreases of 1.49%, 1.44%, and 1.14% respectively compared to the previous week. In terms of premium/discount rates, the Corporate Bond ETF, Treasury Bond ETF Huaxia, and Urban Investment Bond ETF Haifutong had the highest premium rates, at +0.02%, +0.02%, and +0.02% respectively. In terms of scale changes, the Short - term Financing ETF Haifutong had the largest net inflow of 2.183 billion yuan, while the 30 - year Treasury Bond ETF, Corporate Bond ETF Yifangda, and Convertible Bond ETF Boshi had the largest net outflows, at -1.762 billion yuan, -1.696 billion yuan, and -1.384 billion yuan respectively [32]. 3.6 基准做市信用债和科创债 ETF 的 PCF 清单边际变化 - For benchmark - making credit - bond ETFs, the PCF lists of Corporate Bond ETF Nanfang and Credit - Bond ETF Haifutong added 12 and 15 bonds respectively, with average modified durations of 3.33 years and 3.94 years. The bond "25 Jingtou K2" was repeatedly included in the PCF lists of benchmark - making credit - bond ETFs, with a modified duration of 4.0323 years [35]. - For science - innovation bond ETFs, the newly included bonds of Science - innovation Bond ETF Morgan, Science - innovation Bond ETF Tianhong, and Science - innovation Bond ETF Nanfang had relatively large average durations of 8.85 years, 8.85 years, and 8.50 years respectively. The average modified duration of the bonds removed from the PCF list of Science - innovation Bond ETF Tianhong, which tracks the CSI AAA Science - innovation Bond Index, was significantly longer at 7.30 years. Ten bonds such as "23 Sichuan Investment K1" were repeatedly removed from the PCF lists of science - innovation bond ETFs, and seven bonds such as "24 Sichuan Investment K1" were included in multiple science - innovation bond ETFs [36][39]. 3.7 债券 ETF 基金运营管理规则变更汇总 - On March 12, 2026, Credit - Bond ETF Dacheng changed the cash - substitution flag of the PCF list to "must". On March 13, 2026, Credit - Bond ETF Guangfa and Corporate Bond ETF Yifangda also made the same change. On March 11 and March 13, 2026, Science - innovation Bond ETF China Merchants and Science - innovation Bond ETF Yifangda changed the cash - substitution flag of the PCF list to "must" respectively [41].

Core Viewpoint - The article discusses the concept of "offshore fund arbitrage," emphasizing that it is not a speculative tactic but a strategy to profit from price differences or time windows in fund trading rules. Group 1: Offshore Fund Arbitrage - Offshore fund arbitrage is based on the principle of "buy low, sell high" or "earning time differences through rules," but it is important to note that there is no risk-free arbitrage [1]. - All operations must account for costs and control risks, ensuring that profits exceed costs before proceeding [1]. Group 2: LOF Fund Arbitrage - The easiest arbitrage method for individual investors involves LOF funds (Listed Open-Ended Funds), which can be traded both off-market at net value and on-market at market price [3]. - When the on-market trading price exceeds the off-market net value, a "premium arbitrage" opportunity arises, allowing investors to buy low off-market and sell high on-market for profit [3]. Group 3: Practical Steps for LOF Arbitrage - Step 1: Select targets by using tools like Jisilu to find LOF funds with a premium rate of at least 3% and a daily trading volume over 10 million, avoiding those with suspended subscriptions [4]. - Step 2: Purchase the selected LOF A shares through platforms like Alipay or Tian Tian Fund, and after confirmation (usually T+2 days), initiate a "cross-system transfer" to a brokerage [4]. - Step 3: After the transfer application is submitted, the shares will arrive in the securities account on T+2 days, and investors can sell them like stocks [5]. Group 4: Example of LOF Arbitrage - An example is provided where a certain S&P 500 LOF has a premium rate of 25.9%, with an off-market purchase net value of 1 yuan and an on-market trading price of 1.259 yuan, leading to a potential profit of approximately 0.2 yuan per 1 yuan invested after deducting fees [6]. Group 5: ETF Arbitrage - ETF arbitrage was traditionally exclusive to institutions, but individual investors can participate through offshore ETF linked funds, which invest primarily in corresponding ETFs [7]. - The core logic involves taking advantage of the lag in net value response of linked funds when ETFs are at a premium or discount [7]. Group 6: Directions for ETF Arbitrage - Premium arbitrage occurs when the on-market price of an ETF exceeds its net value, allowing for off-market purchases of linked funds, followed by redemption for profit once the net value rises [8]. - Discount arbitrage happens when the on-market price is lower than the net value, allowing for redemption of linked funds and re-purchase at a lower net value for profit [9]. Group 7: Key Considerations for Arbitrage - It is crucial to calculate costs accurately, ensuring that arbitrage profits cover all fees, as a premium rate below 3% may lead to losses [11]. - Control time risks, as the transfer and confirmation processes require time, during which market fluctuations may erode profit margins [12]. - Confirm liquidity by selecting LOF/ETF targets with high daily trading volumes to avoid difficulties in selling once transferred to the market [13]. - Adhere to rules, ensuring accounts are in the same name and that shares are in whole numbers during transfers to avoid arbitrage failures [14]. - Avoid excessive greed; new investors are advised to start with small amounts to familiarize themselves with the process before scaling up [15].

Core Viewpoint - Cross-border ETF funds, also known as "QDII ETF" funds, are investment funds established domestically that invest in overseas markets, creating arbitrage opportunities due to potential pricing discrepancies between market trading prices and net asset values [1] Group 1: Trading Mechanism of Cross-border ETF Funds - Cross-border ETF funds can be traded on the Shanghai and Shenzhen stock exchanges, allowing for both on-market trading and subscription/redemption operations [1] - The trading mechanism includes T+0 trading, enabling same-day buy and sell transactions without limits on trading frequency [2] - ETF fund shares redeemed require T+2 settlement for the funds to be available [2] Group 2: Necessary Conditions for Arbitrage - Selecting brokers that support RTGS settlement mechanisms is essential, as only a few brokers provide this support [3] - Ensuring low transaction costs is crucial to minimize friction costs, including subscription, redemption fees, and trading commissions [3] - A deep understanding of the trading mechanisms of cross-border ETF funds is necessary, and consulting with securities advisors is recommended [3] Group 3: Instant Arbitrage Strategies and Steps - Instant arbitrage can be categorized into premium arbitrage and discount arbitrage [4] - For premium arbitrage (when market price > IOPV): 1. Subscribe to cross-border ETF by following the daily published subscription list and obtaining ETF shares [5] 2. Sell the ETF shares in the secondary market at the expected market price [5] - For discount arbitrage (when market price < IOPV): 1. Buy ETF shares in the secondary market at the expected market price [5] 2. Redeem the ETF shares to receive a basket of stocks or cash, avoiding the need to sell stocks if cash is redeemed [5]

Core Insights - The article discusses the early days of LOF funds in China, highlighting the arbitrage opportunities that existed due to the mispricing between market prices and net asset values [1][2] - It reflects on the transition from a manual, hands-on approach to arbitrage to a more automated and sophisticated trading environment, marking the end of an era for simple arbitrage strategies [2] Group 1: Arbitrage Opportunities - In the early 2000s, LOF funds often traded at a discount to their net asset values, creating opportunities for risk-free arbitrage [1] - Investors could buy LOF funds at a lower market price and redeem them at a higher net asset value, locking in profits [1][2] - The article describes a young investor who capitalized on these opportunities, earning significant profits by frequently redeeming funds at the brokerage [1] Group 2: Evolution of the Market - As the market matured, the pricing discrepancies in LOF funds diminished, and brokerages began offering in-house redemption options, reducing the need for manual arbitrage [2] - The influx of arbitrageurs and improved information flow contributed to the decline of the arbitrage opportunities that once existed [2] - The narrative emphasizes the shift from a "golden age" of arbitrage to a more structured and automated trading environment, where strategies have evolved significantly [2]