- The report introduces a **macro timing model** for asset allocation, which predicts macroeconomic environments using proxy variables and selects optimal asset classes for absolute return portfolios. For Q1 2026, the model forecasts a "Slowdown" environment, with returns of 1.65% for CSI 300, 9.13% for CNI 2000, 8.61% for Nanhua Commodity Index, and 0.39% for ChinaBond Total Treasury Wealth Index[23][30] - A **macro momentum model** is constructed for monthly timing signals, considering factors such as economic growth, inflation, interest rates, exchange rates, and risk sentiment. This model is used for timing equities, bonds, and other major asset classes. Additionally, a multi-cycle gold timing strategy is built using macro, position, volume-price, and sentiment factors. For January 2026, the returns are 1.65% for CSI 300, 0.39% for ChinaBond Total Treasury Wealth Index, and 19.59% for AU9999 contract[23][30] - The **industry ETF rotation strategy** is based on a multi-factor model that incorporates historical fundamentals, expected fundamentals, sentiment, volume-price technicals, and macroeconomic factors. The strategy matches ETFs with their corresponding industry indices and selects ETFs from a benchmark pool of 23 first-level industries. For January 2026, the recommended ETFs include Guotai CSI Coal ETF, Guotai CSI Steel ETF, Guotai CSI All Securities ETF, and Huabao CSI Bank ETF, each with an initial weight of 25%[24][27][28] - The **20/80 stock-bond rebalancing strategy** driven by macro timing achieved a weekly return of 0.05% and a YTD return of 0.56%. The **stock-bond risk parity strategy** achieved a weekly return of 0.04% and a YTD return of 0.47%. When combined with the industry ETF rotation strategy, the enhanced 20/80 rebalancing strategy achieved a weekly return of 0.29% and a YTD return of 0.89%, while the enhanced risk parity strategy achieved a weekly return of 0.13% and a YTD return of 0.55%[4][30][33] - The **stock-bond-gold risk parity strategy** achieved a weekly return of 0.26% and a YTD return of 1.28%, with an annualized volatility of 2.96%, a maximum drawdown of 0.49%, and a Sharpe ratio of 6.90[4][30][35] - The **quantitative fixed-income plus strategy** includes stock-bond rebalancing models with different configurations. For the 10/90 monthly rebalancing strategy, the small-cap value style achieved a YTD return of 1.38%, while the small-cap growth style achieved 1.02%. For the 20/80 monthly rebalancing strategy, the small-cap value style achieved a YTD return of 2.60%, while the small-cap growth style achieved 1.88%. When combined with macro timing, the 20/80 monthly rebalancing strategy achieved a YTD return of 3.82% for the small-cap value style and 2.73% for the small-cap growth style. The 20/80 quarterly rebalancing strategy based on counter-cyclical allocation achieved a YTD return of 1.38% for the PB earnings + small-cap value combination and 1.02% for the PB earnings + small-cap growth combination[4][37][40]

Group 1 - The report indicates that as of January 23, 2026, the total scale of fixed income + funds in the market reached 21,780.36 billion, with 1,157 products, and 824 of them achieved historical net value highs last week [2][18] - The performance median of various fund types for the week of January 19-23, 2026, showed differentiation: mixed bond type I (0.26%), II (0.47%), and other types [14][16] - The conservative, stable, and aggressive fund median returns were 0.32%, 0.47%, and 0.59% respectively [14][16] Group 2 - The macro environment forecast for Q1 2026 indicates a slowdown, with the Shanghai and Shenzhen 300 index, the total wealth index of government bonds, and the AU9999 contract yielding 1.57%, 0.36%, and 14.08% respectively [3] - The industry ETF rotation strategy for January 2026 suggests focusing on coal, steel, securities, and banking ETFs, with a weekly return of 1.77% and a cumulative return of 1.41% for the month [3][4] Group 3 - The mixed stock-bond strategy's performance showed a 0.00% return for the week, with a year-to-date return of 0.51%, while the stock-bond risk parity strategy yielded 0.13% for the week and 0.43% year-to-date [4] - The small-cap value style in the stock-bond 20/80 combination performed best with a year-to-date return of 2.95%, while the PB earnings, high dividend, and small-cap growth strategies yielded 1.08%, 0.78%, and 2.31% respectively [4][10]

Group 1 - The core viewpoint of the article emphasizes the potential launch of multi-asset ETFs in China, driven by the need for enhanced index investment and asset allocation functions in the capital market [1] - As of the end of Q3 2025, the domestic ETF market has grown to over 5.6 trillion yuan, marking an increase of nearly 1.9 trillion yuan (+51%) compared to the end of 2024, indicating its importance as a tool for institutional investors [1] - The article highlights the necessity for diversified asset allocation strategies in a low-interest-rate environment, leading asset management institutions to explore new investment boundaries [2] Group 2 - The shift in the structure of bond funds is noted, with a decrease of 844.8 billion yuan in actively managed pure bond funds and an increase of 757.7 billion yuan in mixed bond funds, reflecting a market demand for low-volatility and low-fee index products [2] - Historical experiences from overseas show that stock-bond mixed strategies have evolved into two main forms: constant proportion and dynamic adjustment, with the former maintaining a fixed ratio and the latter adjusting based on market signals [3] - The introduction of a series of multi-asset indices by China Securities since 2024 aims to meet the innovative demand for multi-asset ETFs, with a range of stock-bond combinations and varying weightings [4]

Group 1: Core Insights - The report highlights that the stock side employs a small-cap growth portfolio combined with a non-timing stock-bond monthly rebalancing strategy, projecting cumulative returns of 5.93% and 11.15% by 2025 [1][4] - As of August 15, 2025, the total market size of fixed income plus funds reached 1,784.66 billion, with 1,177 products, of which 412 achieved historical net value highs last week [2][9] - The report indicates a divergence in performance among various fund types, with median returns for mixed bond type funds being -0.07% for level one, 0.17% for level two, and 0.33% for mixed bond type funds [2][12] Group 2: Asset Allocation and ETF Rotation - The macro environment forecast for Q3 2025 suggests an inflationary trend, with the CSI 300 index, the total wealth index of government bonds, and AU9999 contracts yielding 3.11%, -0.32%, and 1.03% respectively since August [3][4] - Recommended industry ETFs for August 2025 include those focused on artificial intelligence, semiconductors, non-ferrous metals, banking, and major consumer sectors, with a weekly return of 4.01% and a cumulative return of 5.81% for the month [3][4] Group 3: Absolute Return Strategy Performance - The macro-timing driven stock-bond 20/80 rebalancing strategy yielded a return of 0.47% last week, while the stock-bond risk parity strategy returned -0.02% [4][9] - The small-cap growth style within the stock-bond 20/80 combination showed the most significant performance, with a year-to-date return of 11.15% [4][9] - The report notes that the cumulative return for the small-cap growth portfolio, when adjusted for timing strategies, reached 12.81% [4][9]

文 | 银行螺丝钉 （转载请注明出处） 银行等价值风格微跌，成长风格上涨。 港股今天放假，暂停交易，周二港股恢复正常。 1. 有朋友问，最近每次市场大幅下跌的时候，会看到国家队买入指数基金。 从哪里可以观察国家队买了多少呢？ 今天大盘低开高走，整体上涨，截止到收盘，回到5.1星。 大盘股略微上涨，小盘股上涨多一些。 所谓的国家队，例如中央汇金，主要通过「中央汇金投资有限责任公司」或「中央汇金资产管理有限责任公司」这两个主体来投资指数基金。 像场内规模最大的300ETF，中央汇金这两个主体，分别持有39%和29%。 这个在基金的定期报告中就有披露，是公开数据。 所以国家队买入多少指数基金、每季度是否还持有、持有多少金额，这些都是可以查到的。 另外，国家队买入指数基金的规模很庞大。 在当日的ETF成交额上，如果国家队有买入，会出现非常明显的成交量放大。 月薪宝是一种股债混合策略。 月薪宝组合，底层投资的是，40%的股票基金和60%的债券基金。 股票部分是偏价值风格，也就是偏红利、价值、低波动类的股票。 ETF的日成交额，会是其他时间的数倍。 例如去年两次5.9星，以及4月初的大跌时，场内ETF的成交额都出现大幅增 ...