Core Viewpoint - The article discusses various investment strategies using ETFs (Exchange-Traded Funds) tailored to different life stages and financial needs, emphasizing the importance of asset allocation based on individual circumstances and market conditions. Group 1: Asset Allocation Strategies - Asset allocation should be adjusted according to different life stages, considering factors like age, income, and risk tolerance [1][2]. - For daily expenses, liquidity and safety are paramount, suggesting the use of money ETFs for such funds [4][5]. - Fixed expenses require a balance of safety and liquidity, recommending bond ETFs, particularly government bond ETFs, for stable returns [5][6]. - Long-term investments should focus on wealth preservation and growth, allowing for a mix of stock ETFs, bond ETFs, commodity ETFs, and potentially cross-border ETFs [5][6]. Group 2: Life Cycle Considerations - The life cycle is divided into three main phases: education (under 20), career (20-60), and retirement (60 and above), with income typically being lower than expenses in the first and last phases [6][8]. - During the career phase, individuals should focus on preparing for retirement while managing family expenses and debts [6][8]. - Investment strategies should evolve with age, with younger investors (20-30) having a higher risk tolerance and older investors (60+) needing to prioritize safety and income [9][10]. Group 3: Investment Strategies by Age Group - Young investors (20-30) are advised to allocate 70% to stock ETFs and 30% to bond ETFs, adjusting based on personal financial needs [8][9]. - Middle-aged investors (30-60) should reduce stock ETF allocations and increase bond ETF investments as financial responsibilities grow [9][10]. - Older investors (60+) should keep stock ETF investments below 40% and increase bond ETF investments to over 55%, maintaining some liquidity with money ETFs [10][11]. Group 4: Dollar-Cost Averaging Strategy - The dollar-cost averaging strategy involves regular, fixed-amount investments in ETFs to mitigate market volatility and emotional decision-making [11][12]. - This strategy simplifies investment decisions and encourages disciplined saving habits, making it suitable for new and busy investors [18][19]. - Regular assessments of the investment plan are necessary to adapt to market conditions and personal financial situations [20][21].

Group 1 - The report identifies commodity funds as a unique type of public fund, with 18 listed commodity funds tracking various assets such as gold, silver, and commodity futures, all of which are listed funds. Only one product, the Guotou Ruijin Silver Futures LOF, is a LOF, while the remaining 17 are ETFs [3][9]. - The report highlights a significant increase in the scale of commodity ETFs, particularly gold ETFs, which rose from less than 300 billion yuan in Q4 2023 to over 1700 billion yuan by Q3 2025 [9][10]. - The performance of different types of commodity funds has shown considerable divergence, with gold and silver products performing strongly since 2024, while commodity futures products have lagged [13][10]. Group 2 - The report explores the reasons behind the occurrence of premiums and discounts in commodity ETFs, noting that certain ETFs, like the soybean meal ETF, have shown significant premiums due to factors such as subscription limits and pricing discrepancies [16][39]. - It discusses the differences between gold ETFs and Shanghai gold ETFs, emphasizing that the underlying assets differ, leading to potential short-term "book value premiums" in Shanghai gold ETFs [30][29]. - The report identifies calendar effects as a significant reason for short-term premiums, citing a notable instance on September 28, 2023, when all gold ETFs and Shanghai gold ETFs exhibited premiums exceeding 2% [34][36]. Group 3 - The report outlines two theoretical arbitrage opportunities for commodity ETFs: on-market ETF arbitrage and off-market linked fund arbitrage, although it notes that actual opportunities are rare due to market dynamics [39][51]. - It details the operational logic of on-market ETF arbitrage, which involves exploiting the price differences between the market price and the indicative net asset value (IOPV) [51][52]. - The report also describes off-market linked fund arbitrage, which leverages the price differences between the closing price and the settlement price, highlighting the challenges faced in executing this strategy due to subscription limits and market conditions [57][61].

Group 1 - The core viewpoint of the article emphasizes the unique characteristics and advantages of commodity ETFs, which serve as effective tools for asset allocation and inflation hedging [1][2] Group 2 - Commodity ETFs are categorized into physically-backed ETFs and non-physically-backed ETFs, with the former holding physical assets like gold and the latter primarily consisting of commodity futures ETFs [1] - Commodity ETFs have a low correlation with other major asset classes, allowing for risk diversification and enhancing the risk-return profile of investment portfolios [1] - As tangible assets, commodities generally appreciate in value with inflation, making commodity ETFs a viable option for investors seeking to mitigate asset loss due to inflation [1][2] Group 3 - Commodity ETFs lower the investment threshold for commodity trading, enabling individual investors to participate in commodity markets through a more accessible fund structure [2] - The trading of ETFs is convenient, allowing investors to buy and sell fund shares on the secondary market like stocks, as well as subscribe and redeem in the primary market [2]

Group 1 - The strategy for low to medium risk asset allocation includes risk parity and risk budgeting models, where risk parity allocates equal risk weights across different assets, while risk budgeting allows investors to set asset risk weights based on their risk preferences [1] - The correlation between major asset classes such as equities (A-shares, Hong Kong stocks, US stocks), bonds, and commodities (precious metals, energy, chemicals) is relatively low, making it suitable to construct portfolios using corresponding ETFs [1] - The long-term correlation between bonds and equities or commodities ranges from 0 to -30%, indicating a "stock-bond seesaw" effect due to the counter-cyclical nature of interest rates affecting bond yields, while equities and commodities reflect the health or expectations of the real economy [1] Group 2 - A simple construction method for the model involves selecting broad-based indices for equities such as CSI 300 ETF, CSI 500 ETF, ChiNext ETF, and National 2000 ETF, while the bond portion can include government bond ETFs, policy financial bond ETFs, and local government bond ETFs [2] - For the commodity portion, gold ETFs and commodity futures ETFs can be included, with advanced construction methods allowing for a core-satellite approach or sector rotation strategy for equities [2]

深圳证券交易所 SHENZHEN SHENZHEN STOCK EXCHANGE 深交所ETF投资问答(39) kes i m g T t x 154 B d UN - 编者按 - 」 风险平价／风险预算模型 ▪ 风险预算放型 放松对风险均衡配 置的严格要求,投 资者可以根据自身 风险偏好去设定各 资产风险权重。 风险平分旗型 属于风险预算模型 的一个特例,是对 投资组合中不同资 产分配相同的风险 权重的一种资产配 置理念。 选择大类资产 E3 商品 les ... 风险预算模型 风险模型 2% 2% 2 000 资产组合构建 举列 大类资产之间的相关性较低，适合选 ....... 择相应的ETF资产构建组合。 例如,债券和权益类、商品类ETF的长 期相关性在0至-30%之间，"股债晓晓 板"模式长期存在,短期也会有"股债 双杀"的局面。 近年来我国指数型基金迅速发展,交易型开 放式指数基金(ETF) 备受关注。为帮助广 大投资者系统全面认识ETF，了解相关投资 方法,特摘编由深圳证券交易所基金管理部 编著的《深交所ETF投资问答》（中国财政 经济出版社2024年版）形成图文解读。本 篇是第39期，继续为大家 ...