- The Black-Litterman (BL) model is an improved version of the mean-variance optimization (MVO) model developed by Fisher Black and Robert Litterman in 1990. It combines Bayesian theory with quantitative asset allocation models, allowing investors to incorporate subjective views into asset return forecasts and optimize portfolio weights. This model addresses MVO's sensitivity to expected returns and provides a more robust framework for efficient asset allocation[12][13][14] - The BL model was implemented for both global and domestic assets. For global assets, it utilized indices such as the S&P 500, Hang Seng Index, and COMEX Gold. For domestic assets, it included indices like CSI 300, CSI 1000, and SHFE Gold. Two variations of the BL model were constructed for each asset category[13][14][18] - The Risk Parity model, introduced by Bridgewater in 2005, aims to equalize risk contributions across asset classes in a portfolio. It calculates initial asset weights based on expected volatility and correlation, then optimizes deviations between actual and expected risk contributions to determine final portfolio weights[17][18][20] - The Risk Parity model was applied to both global and domestic assets. Global assets included indices such as CSI 300, S&P 500, and COMEX Gold, while domestic assets incorporated CSI 300, CSI 1000, and SHFE Gold. The model followed a three-step process: selecting assets, calculating risk contributions, and solving optimization problems for portfolio weights[18][20][21] - The Macro Factor-based Asset Allocation model constructs a framework using six macroeconomic risk factors: growth, inflation, interest rates, credit, exchange rates, and liquidity. It employs Factor Mimicking Portfolio methods to calculate high-frequency macro factors and integrates subjective views on macroeconomic conditions into asset allocation decisions[22][24][25] - The Macro Factor-based model involves four steps: calculating factor exposures for assets, determining benchmark factor exposures using a Risk Parity portfolio, incorporating subjective factor deviations based on macroeconomic forecasts, and solving for asset weights that align with target factor exposures[22][24][25] Model Performance Metrics - Domestic BL Model 1: Weekly return -0.11%, September return -0.14%, 2025 YTD return 3.23%, annualized volatility 2.19%, maximum drawdown 1.31%[14][17] - Domestic BL Model 2: Weekly return -0.11%, September return -0.13%, 2025 YTD return 2.84%, annualized volatility 1.99%, maximum drawdown 1.06%[14][17] - Global BL Model 1: Weekly return 0.04%, September return 0.11%, 2025 YTD return 0.84%, annualized volatility 1.99%, maximum drawdown 1.64%[14][17] - Global BL Model 2: Weekly return 0.00%, September return 0.03%, 2025 YTD return 1.84%, annualized volatility 1.63%, maximum drawdown 1.28%[14][17] - Domestic Risk Parity Model: Weekly return -0.06%, September return 0.05%, 2025 YTD return 2.99%, annualized volatility 1.35%, maximum drawdown 0.76%[20][21] - Global Risk Parity Model: Weekly return -0.07%, September return 0.13%, 2025 YTD return 2.50%, annualized volatility 1.48%, maximum drawdown 1.20%[20][21] - Macro Factor-based Model: Weekly return 0.04%, September return 0.26%, 2025 YTD return 3.29%, annualized volatility 1.32%, maximum drawdown 0.64%[26][27]

Market Overview - On September 25, A-shares experienced a volatile upward trend, with the ChiNext Index rising over 2% at one point, reaching a three-year high [1] - The Shanghai Composite Index closed at 3853.30 points, down 0.01%; the Shenzhen Component Index closed at 13445.90 points, up 0.67%; and the ChiNext Index closed at 3235.76 points, up 1.58% [1] - The total trading volume in the Shanghai and Shenzhen markets was 239.18 billion yuan, an increase of 44.6 billion yuan compared to the previous trading day [1] International Indices - The Nikkei 225 Index closed up 0.27% at 45754.93 points, while the Korean Composite Index fell 0.03% to 3471.11 points on the same day [2] - Domestic commodity futures saw most main contracts rise, particularly in copper [2] Bond Market - On September 25, the performance of government bond futures was mixed, with the 30-year bond futures (TL2512) closing at 114.110 yuan, up 0.120 yuan (0.11% increase) [2] - The 10-year bond futures (T2512) closed at 107.610 yuan, down 0.010 yuan (0.01% decrease) [2] - The 5-year bond futures (TF2512) closed at 105.525 yuan, down 0.015 yuan (0.01% decrease) [2] - The 2-year bond futures (TS2512) closed at 102.314 yuan, down 0.010 yuan (0.01% decrease) [2] ETF Performance - On September 25, various ETFs showed mixed results, with the Cloud 50 ETF (560660) rising 4.02%, and the Big Data Industry ETF (516700) increasing by 3.60% [3] - Conversely, the Hong Kong Dividend ETF (513690) fell by 1.77%, and the Hong Kong Dividend Low Volatility ETF (520890) decreased by 1.64% [3] Institutional Insights - Guohai Securities' strategy team released a report indicating that A-shares are expected to advance further in Q4 2025, driven by policy and liquidity, with a more balanced style [4] - Barclays' research team noted that the Federal Reserve's loose monetary policy, global economic slowdown, and reduced market volatility create favorable conditions for emerging market assets [4] - UBS Wealth Management's CIO office suggested that gold prices may have further upside potential due to expected declines in U.S. real interest rates amid continued high inflation [4] - Luo Zhiheng, Chief Economist at Yuekai Securities, stated that the current A-share rally is based on a more solid foundation, with sustainability likely to exceed most historical trends [4]

Market Overview - The bond market experienced fluctuations and a pullback on August 28, with government bond futures closing lower across the board, particularly in the long-end segment [1][2] - The interbank bond yield rose by approximately 2 basis points, indicating a shift in market sentiment [1][2] Bond Yield Movements - The 30-year government bond yield increased by 2.1 basis points to 2.015%, while the 10-year government bond yield rose by 2 basis points to 1.875% [2] - The 10-year government bond with interest saw a yield increase of 1.25 basis points to 1.7775% [2] Market Activity - The China Securities Convertible Bond Index rose by 0.19%, with a trading volume of 110.826 billion yuan [2] - Notable gainers in the convertible bond market included Chongda Convertible Bond and Weida Convertible Bond, with increases of 12.03% and 11.29% respectively [2] International Bond Market - In North America, U.S. Treasury yields fell across the board, with the 2-year yield dropping by 6.19 basis points to 3.611% [3] - In Asia, Japanese bond yields mostly declined, with the 10-year yield down by 0.9 basis points to 1.619% [3] - In the Eurozone, the 10-year French bond yield rose by 2 basis points to 3.516%, while the 10-year German bond yield fell by 2.3 basis points to 2.698% [3] Primary Market Results - The China Development Bank's 3-year and 7-year financial bonds had winning yields of 1.6355% and 1.8209%, respectively, with bid-to-cover ratios of 2.87 and 4.28 [4] - Inner Mongolia's local bonds showed strong demand, with bid-to-cover ratios exceeding 23 times for both 10-year and 15-year bonds [4] Liquidity and Funding - The People's Bank of China conducted a reverse repurchase operation of 416.1 billion yuan at a rate of 1.40%, resulting in a net injection of 163.1 billion yuan for the day [5] - Short-term Shibor rates increased, with the overnight rate rising by 0.1 basis points to 1.316% [5] Institutional Insights - CITIC Securities noted that the bond market is experiencing a bear steepening phase, driven by market sentiment rather than economic fundamentals [7] - Longjiang Fixed Income highlighted the diversification of funding sources in the convertible bond market, with banks and insurance funds playing a significant role [7] - Guosheng Fixed Income pointed out that recent market adjustments have made short-term brokerage subordinated bonds more attractive, suggesting a focus on investment value in this segment [7]

Core Viewpoint - The bond market is experiencing a weak consolidation phase, with government bond futures mostly declining and interbank bond yields rising slightly, indicating a potential shift in market dynamics driven by supply-side policies aimed at increasing corporate profits and subsequently boosting demand [1][2][7]. Market Performance - Government bond futures closed mostly lower, with the 30-year main contract down 0.31% and the 10-year main contract down 0.04% [2]. - Interbank bond yields generally increased, with the 30-year government bond yield rising by 0.7 basis points to 1.963% and the 10-year government bond yield increasing by 0.25 basis points to 1.72% [2]. - The China Convertible Bond Index fell by 0.25%, with significant declines in several convertible bonds, while others saw notable gains [2]. International Market Trends - In North America, U.S. Treasury yields collectively decreased, with the 10-year yield falling by 0.58 basis points to 4.281% [3]. - In Asia, Japanese bond yields rose, with the 10-year yield increasing by 1.4 basis points to 1.504% [4]. - In the Eurozone, yields on 10-year bonds from France, Germany, Italy, and Spain all increased, indicating a regional trend of rising yields [4]. Primary Market Activity - The China Development Bank issued financial bonds with yields of 1.5193%, 1.6562%, and 1.7942% for 2-year, 5-year, and 10-year maturities, respectively, with strong bid-to-cover ratios [5]. - Agricultural Development Bank also issued 2-year financial bonds with competitive yields and high bid-to-cover ratios, reflecting strong demand [5]. Liquidity Conditions - The central bank conducted a reverse repurchase operation of 1146 billion yuan at a rate of 1.40%, resulting in a net withdrawal of 461 billion yuan for the day [6]. - Short-term Shibor rates mostly increased, indicating tightening liquidity conditions in the market [6]. Institutional Insights - Dongwu Securities noted that the current low yield environment for 10-year government bonds is under pressure from commodity price rebounds, but a significant bearish trend is unlikely without demand-driven factors [7]. - CITIC Securities highlighted the need to monitor risks in the convertible bond market, suggesting a focus on equity strategies and convertible bonds with favorable conversion premiums [8]. - China International Capital Corporation indicated that credit demand remains stable, with a low risk of credit spreads widening significantly in the current environment [8].

Group 1 - The overall market for convertible bonds opened flat, indicating stability in the sector [1] - Tongguang Convertible Bond increased by nearly 6%, showing strong investor interest [1] - Qizheng Convertible Bond and Weichip Convertible Bond both rose over 4%, reflecting positive market sentiment [1] Group 2 - Hailiang Convertible Bond saw an increase of nearly 3%, contributing to the overall positive performance [1] - Emergency Convertible Bond surged over 10%, indicating significant demand [1] - Hongfeng Convertible Bond and Jing23 Convertible Bond rose by over 3% and 2.5% respectively, further highlighting the upward trend in the market [1]

- Model Name: Domestic Asset BL Model 1; Model Construction Idea: The BL model is an improvement of the traditional mean-variance model, combining subjective views with quantitative models using Bayesian theory; Model Construction Process: The model optimizes asset allocation weights based on investor market analysis and asset return forecasts, effectively addressing the sensitivity of the mean-variance model to expected returns; Model Evaluation: The BL model provides a higher fault tolerance compared to purely subjective investments, offering efficient asset allocation solutions[14][15] - Model Name: Domestic Asset BL Model 2; Model Construction Idea: Similar to Domestic Asset BL Model 1; Model Construction Process: The model is built on the same principles as Domestic Asset BL Model 1 but with different asset selections; Model Evaluation: Similar to Domestic Asset BL Model 1[14][15] - Model Name: Global Asset BL Model 1; Model Construction Idea: Similar to Domestic Asset BL Model 1; Model Construction Process: The model is built on the same principles as Domestic Asset BL Model 1 but targets global assets; Model Evaluation: Similar to Domestic Asset BL Model 1[14][15] - Model Name: Global Asset BL Model 2; Model Construction Idea: Similar to Global Asset BL Model 1; Model Construction Process: The model is built on the same principles as Global Asset BL Model 1 but with different asset selections; Model Evaluation: Similar to Global Asset BL Model 1[14][15] - Model Name: Domestic Asset Risk Parity Model; Model Construction Idea: The risk parity model aims to equalize the risk contribution of each asset in the portfolio; Model Construction Process: The model calculates the risk contribution of each asset and optimizes the deviation between actual and expected risk contributions to determine final asset weights; Model Evaluation: The model provides stable returns across different economic cycles[20][21] - Model Name: Global Asset Risk Parity Model; Model Construction Idea: Similar to Domestic Asset Risk Parity Model; Model Construction Process: The model is built on the same principles as Domestic Asset Risk Parity Model but targets global assets; Model Evaluation: Similar to Domestic Asset Risk Parity Model[20][21] - Model Name: Macro Factor-Based Asset Allocation Model; Model Construction Idea: The model constructs a macro factor system covering growth, inflation, interest rates, credit, exchange rates, and liquidity; Model Construction Process: The model uses the Factor Mimicking Portfolio method to construct high-frequency macro factors and optimizes asset weights based on subjective macro views; Model Evaluation: The model bridges macro research and asset allocation, reflecting subjective macro judgments in asset allocation[23][24][27] - Domestic Asset BL Model 1, Weekly Return: 0.02%, July Return: 0.61%, 2025 YTD Return: 2.46%, Annualized Volatility: 2.16%, Maximum Drawdown: 1.31%[17][19] - Domestic Asset BL Model 2, Weekly Return: -0.06%, July Return: 0.48%, 2025 YTD Return: 2.41%, Annualized Volatility: 1.93%, Maximum Drawdown: 1.06%[17][19] - Global Asset BL Model 1, Weekly Return: -0.09%, July Return: 0.56%, 2025 YTD Return: 0.95%, Annualized Volatility: 1.95%, Maximum Drawdown: 1.64%[17][19] - Global Asset BL Model 2, Weekly Return: -0.07%, July Return: 0.51%, 2025 YTD Return: 1.59%, Annualized Volatility: 1.7%, Maximum Drawdown: 1.28%[17][19] - Domestic Asset Risk Parity Model, Weekly Return: -0.02%, July Return: 0.36%, 2025 YTD Return: 2.7%, Annualized Volatility: 1.46%, Maximum Drawdown: 0.76%[22][23] - Global Asset Risk Parity Model, Weekly Return: -0.03%, July Return: 0.3%, 2025 YTD Return: 2.16%, Annualized Volatility: 1.66%, Maximum Drawdown: 1.2%[22][23] - Macro Factor-Based Asset Allocation Model, Weekly Return: -0.03%, July Return: 0.38%, 2025 YTD Return: 2.76%, Annualized Volatility: 1.36%, Maximum Drawdown: 0.64%[28][29]

Group 1 - The risk premium percentile of the CSI All Share Index is 71.95%, indicating that the market has returned from a high return area to a normal return area [1][8] - The price-to-book ratio percentile of the CSI All Share Index is 21.54%, suggesting that the market has returned from an undervalued state to a normal but slightly undervalued state [12] - The Shanghai Composite Index and CSI 800 are still in an undervalued state, warranting close attention [13] Group 2 - The CSI All Share Index's deviation rate is -0.03%, indicating that the overall price level of the market is in a normal range [16] - The ChiNext 50 has returned to a basic normal range after two months of recovery from an oversold state [19] - Over the past six months, the performance of value and growth styles has varied, and the value vs. growth style has yet to be defined, with future trends still to be observed [23] Group 3 - The performance of low valuation styles has generally been superior over the past six months, but high valuation styles have shown strong performance in the past month, suggesting investors should closely monitor the potential transition between high and low valuation styles [27] - Small-cap styles have significantly outperformed over the past six months, indicating a need for future focus on small-cap style targets [29] Group 4 - There has been a certain degree of excess return for convertible bonds relative to the CSI All Share Index over the past six months, suggesting that investors should consider convertible bond varieties from an asset allocation perspective [2][44] - Different types of convertible bonds have shown varying performance over the past six months, with a recommendation to focus on equity-oriented targets [48] Group 5 - The report emphasizes the importance of market style rotation, highlighting the differences in performance between value vs. growth, low vs. high valuation, and large vs. small capitalization stocks [20][21] - The report identifies that the performance of small-cap stocks has been notably superior, suggesting a focus on small-cap style targets moving forward [29] Group 6 - The report discusses industry/theme index rotation, focusing on low valuation rotation and dual momentum rotation strategies [33][34] - A selection of reference targets based on valuation factors or momentum factors is provided for investors to consider [37]

Market Overview - The bond market continued to consolidate on June 9, with narrow fluctuations in interbank bond yields and mixed performance in government bond futures [1] - The People's Bank of China (PBOC) continued to provide liquidity support through net injections in the open market, leading to a more relaxed funding environment [5] - Overnight pledged repo rates for deposit-taking institutions fell over 3 basis points, dropping below 1.4% [5] Bond Futures Performance - The 30-year main contract rose by 0.35%, while the 10-year main contract increased by 0.09%, with 5-year and 2-year contracts remaining unchanged [2] - The yield on the 30-year government bond "25超长特别国债02" decreased by 0.50 basis points to 1.8700%, while the 10-year government bond "25附息国债11" saw an increase of 0.25 basis points to 1.6550% [2] International Bond Market - In North America, U.S. Treasury yields rose across the board, with the 10-year yield increasing by 11.11 basis points to 4.506% [3] - In Asia, Japanese bond yields mostly increased, with the 10-year yield rising by 1.3 basis points to 1.467% [3] - In the Eurozone, yields on 10-year bonds in France, Germany, Italy, and Spain all saw slight declines [3] Primary Market - The Agricultural Development Bank of China issued financial bonds with varying yields, with the 3-year bond yielding 1.3286% and a bid-to-cover ratio of 2.23 [4] Funding Conditions - On June 9, the PBOC conducted a 7-day reverse repo operation with a fixed rate of 1.40%, injecting 173.8 billion yuan into the market [5] - The funding environment remains increasingly relaxed, with a significant net injection following a previous large-scale reverse repo operation [5] Economic Indicators - In May, China's Producer Price Index (PPI) fell by 3.3% year-on-year, while the Consumer Price Index (CPI) decreased by 0.1% [8] - China's exports in May increased by 4.8% year-on-year, while imports fell by 3.4%, resulting in a trade surplus of 103.22 billion USD [8] Institutional Perspectives - Huatai Fixed Income suggests that attention should be paid to tariffs and fundamental developments, with expectations of a slight increase in risk appetite due to U.S.-China tariff negotiations [9] - Guosheng Fixed Income anticipates that interest rates may reach new lows, driven by changes in fundamentals and improved market supply-demand dynamics [9]

Key Points - The report indicates that the risk premium percentile of the CSI All Share Index is 80.41%, suggesting that the market is in a high return zone [1][5] - The report highlights that the price-to-book ratio percentile of the CSI All Share Index is 8.98%, indicating that the market is in a state of severe undervaluation [1][10] - The report notes that the deviation rate of the CSI All Share Index is -4.03%, suggesting that the overall price level of the market is in a normal range [1][13] - The report suggests that the performance of the value style has been significantly superior over the past six months, recommending a focus on value style targets [1][21] - The report also indicates that the performance of the low valuation style has been notably superior over the past six months, advising attention to low valuation style targets [1][24] - The report states that the performance of the small-cap style has been significantly superior over the past six months, recommending a focus on small-cap style targets [1][26] - The report identifies that there has been a certain degree of excess return for convertible bonds relative to the CSI All Share Index over the past six months, suggesting investors pay attention to convertible bond varieties from an asset allocation perspective [1][40]

机构认为，无论从银行盈利压力、负债压力以及央行对流动性呵护程度、基本面状况来看，当前和一季 度都有显著差别，因而行情不会简单重复。下半年来看，我国出口下行压力可能会更多显现，政府债券 的供给压力也会明显缓解，预计二三季度货币政策放松可能加码，资金利率中枢或将明显回落，年内利 率债仍有胜率。 【行情跟踪】 国债期货收盘多数下跌，30年期主力合约涨0.03%报119.45，10年期主力合约跌0.03%报108.69，5年期 主力合约跌0.04%报105.96，2年期主力合约跌0.04%报102.352。 银行间主要利率债收益率多数小幅上行，10年期国开债"25国开10"收益率上行0.25BP报1.715%，10年期 国债"25附息国债11"收益率持平报1.6750%，30年期国债"23附息国债23"收益率上行1.25BP报1.931%。 中证转债指数收盘上涨0.29%，报430.56点，成交金额552.38亿元。豪美转债、福新转债、中宠转2、水 羊转债、志特转债涨幅居前，分别涨8.87%、7.62%、6.04%、5.94%、5.88%。中旗转债、东时转债、惠 城转债、精达转债、游族转债跌幅居前，分别跌12.8%、 ...