1. Report Industry Investment Rating Not provided in the content 2. Core Viewpoints of the Report - Since 2026, the CSI 500 Index has performed prominently among major broad - based indices, breaking the historical monotonicity of performance based on market - value factors. Whether this phenomenon will continue requires further observation. The concentration of hot industries and a small number of stocks contributing a large portion of the index's gains have made it difficult to outperform the index. Also, factor inefficiencies, especially the reversal of price - volume factors, have led to the underperformance of index - enhancement products and quantitative strategies [1][4]. - The current market situation is an extreme case in factor performance. Although no single factor has reached its historical worst, the combined performance of multiple factors is the worst in history. However, based on historical experience, factor logic will return as market volatility decreases, usually within two months [1][40]. - Looking ahead, the situation of factor inefficiency or reversal is not expected to last long, so major model adjustments are not advisable at present. In the long run, a detailed risk - control framework for CSI 500 index enhancement should be established, and the construction of price - volume factors should be optimized [1][70]. 3. Summary According to the Table of Contents 3.1 2026 Year - to - Date CSI 500 Index Performance Highlights - As of January 23, 2026, the CSI 500 Index has risen 15.06%, outperforming the SSE 300, CSI 1000, and CSI 2000 indices during the same period, breaking the historical monotonicity of broad - based index performance related to market - value factors [4]. - The index's strong performance is due to its concentration in sectors that have performed well in 2026, such as electronics, non - ferrous metals, and national defense and military industries. A small number of stocks have contributed significantly to the index's gains; the top 5 stocks contributed 1.47% of the increase, and the top 40 stocks contributed nearly half of the increase [7][11]. 3.2 Factor Perspective: Why Is It Difficult to Outperform the CSI 500 Index? 3.2.1 Index - Enhancement Funds Collectively Underperform the Index - All CSI 500 index - enhancement funds have underperformed the CSI 500 Index in 2026, with an average underperformance of 2.5%. The best - performing product underperformed by 0.12%, and the worst by 7.93%. Active quantitative quasi - index - enhancement products were more affected, with an average underperformance of 3.91%, the best - performing product underperforming by 2.07%, and the worst by 7.61% [13][15]. 3.2.2 Factor Changes within the CSI 500 Index - Since 2017, the market - value factors in the SSE 300, CSI 500, and CSI 1000 indices have shown continuous reversal and decline. The market - value factor in the CSI 1000 index rebounded strongly in 2021, while those in the CSI 500 and SSE 300 indices only had a weak rebound [16]. - In 2026, many factors in the CSI 500 Index showed significant anomalies. Fundamental factors such as profitability, dividend yield, and valuation were negative, and price - volume factors such as liquidity, reversal, market value, and volatility not only reversed but also had larger IC values. The short - term rapid market rise and overheated market led to the continued rise of theme stocks with fast short - term gains, high turnover, and high volatility, causing the reversal and ineffectiveness of price - volume factors [19][20]. - The long - term winning rates of factors such as valuation, momentum, reversal, market value, and liquidity are poor, around 50% or lower. In 2026, there was a concentrated reversal of price - volume factors, and the low - volatility factor, which had a high long - term winning rate, also reversed in January 2026 [26]. - The changes in the four price - volume factors (market value, reversal, low liquidity, and low volatility) generally started in the third quarter of 2025, gradually flattening or reversing. The top - performing stocks in 2026 generally ranked low in these price - volume factors, making it difficult for traditional multi - factor frameworks to select them [35]. 3.3 Historical Similar Situations Review and Future Outlook 3.3.1 The Current Market Is an Extreme Case in Factor Performance - In January 2026, no single factor reached its historical worst IC value. However, the combined performance of the four price - volume factors was the worst in history, and when considering all nine factors, it was the second - worst, only after June 2022 [39][40]. 3.3.2 Historical Similar Situations of the CSI 500 and Subsequent Developments - Similar extreme situations in factor performance have occurred in June 2018, August 2025, etc. Market fluctuations are an important factor affecting factor effectiveness. When the market fluctuates significantly, factors are likely to become ineffective, and when the market stabilizes, factor logic tends to return. Historical experience shows that factor inefficiency usually does not last more than two months [42][69]. 3.3.3 Future Outlook - The situation of factor inefficiency or reversal is not expected to last long, so major model adjustments are not recommended at present. - In the long run, a detailed risk - control framework for CSI 500 index enhancement should be established, including differential constraints on individual stocks with different excess - volatility characteristics and industry - constraint frameworks based on industry - scoring models. - The construction of price - volume factors should be optimized to improve their winning rates and reduce non - linear characteristics [70][71].

- The macro timing model recommends an equity allocation of 25% for November, with signal strength of 0% for economic growth and 50% for monetary liquidity. The model's year-to-date return is 13.55%, compared to Wind All A's return of 25.61%[4][41][42] - The rotation indicator suggests investing in micro-cap stocks as their relative net value to the Moutai Index is 2.05, above the 243-day moving average of 1.74. Additionally, the 20-day closing price slope for micro-cap stocks is 0.28%, higher than the Moutai Index's -0.18%[17][18][25] - Eight major stock selection factors were tracked, with reversal (27.26%), technical (23.94%), and reversal (23.86%) factors performing well, while market capitalization (-6.86%), consensus expectations (-5.31%), and value (0.25%) factors showed weaker performance[47][48][49] - Quantitative convertible bond selection factors were constructed, focusing on the relationship between convertible bonds and their underlying stocks. Factors include parity, bottom price premium rate, and financial quality of the underlying stocks. Positive IC mean values were observed for convertible bond valuation, financial quality, and value factors[56][57][58]

Quantitative Models and Construction Methods 1. Model Name: Macro Timing Strategy - **Model Construction Idea**: The model is designed to provide equity allocation recommendations based on macroeconomic indicators, including economic growth and monetary liquidity[5][42] - **Model Construction Process**: - The model evaluates the strength of signals from two dimensions: economic growth and monetary liquidity - For each dimension, a percentage signal strength is assigned (e.g., 0% for economic growth and 50% for monetary liquidity in October)[42][43] - The model aggregates these signals to determine the recommended equity allocation percentage (e.g., 25% for November)[42][43] - **Model Evaluation**: The model has achieved a year-to-date return of 13.55%, underperforming the Wind All A Index, which returned 25.61% during the same period[42][45] --- Model Backtesting Results 1. Macro Timing Strategy - **Equity Allocation Recommendation**: 25% for November[42][43] - **Year-to-Date Return**: 13.55%[42][45] - **Benchmark (Wind All A Index) Return**: 25.61%[42][45] --- Quantitative Factors and Construction Methods 1. Factor Name: Value Factor - **Factor Construction Idea**: Measures the relative valuation of stocks to identify undervalued opportunities[48][60] - **Factor Construction Process**: - Includes metrics such as book-to-price ratio (BP_LR), earnings-to-price ratio (EP_FTTM), and sales-to-enterprise value ratio (Sales2EV)[60] - **Factor Evaluation**: The value factor performed strongly in the past week, with an IC mean of 12.38% in the CSI 300 stock pool and 31.97% in the CSI 500 stock pool[48][49] 2. Factor Name: Volatility Factor - **Factor Construction Idea**: Captures the risk and price fluctuation characteristics of stocks[48][61] - **Factor Construction Process**: - Includes metrics such as 60-day return volatility (Volatility_60D) and CAPM residual volatility (IV_CAPM)[61] - **Factor Evaluation**: The volatility factor showed strong performance, with an IC mean of 19.89% in the All A-share stock pool and 22.41% in the CSI 1000 stock pool[48][49] 3. Factor Name: Technical Factor - **Factor Construction Idea**: Utilizes historical price and volume data to identify trading opportunities[48][61] - **Factor Construction Process**: - Includes metrics such as 20-day turnover mean (Turnover_Mean_20D) and 240-day return skewness (Skewness_240D)[61] - **Factor Evaluation**: The technical factor achieved an IC mean of 13.68% in the All A-share stock pool and 8.17% in the CSI 500 stock pool[48][49] 4. Factor Name: Growth Factor - **Factor Construction Idea**: Focuses on identifying stocks with high growth potential based on financial metrics[48][60] - **Factor Construction Process**: - Includes metrics such as single-quarter net income growth (NetIncome_SQ_Chg1Y) and single-quarter operating income growth (OperatingIncome_SQ_Chg1Y)[60] - **Factor Evaluation**: The growth factor underperformed, with an IC mean of -6.34% in the All A-share stock pool and -10.06% in the CSI 500 stock pool[48][49] 5. Factor Name: Quality Factor - **Factor Construction Idea**: Identifies stocks with strong financial health and operational efficiency[48][61] - **Factor Construction Process**: - Includes metrics such as operating cash flow to current debt ratio (OCF2CurrentDebt) and gross margin (GrossMargin_TTM)[61] - **Factor Evaluation**: The quality factor underperformed, with an IC mean of -14.36% in the All A-share stock pool and -14.07% in the CSI 500 stock pool[48][49] --- Factor Backtesting Results 1. Value Factor - **IC Mean**: 12.38% (CSI 300), 31.97% (CSI 500), 22.41% (CSI 1000)[48][49] - **Multi-Long-Short Portfolio Return**: Positive across all stock pools[48][49] 2. Volatility Factor - **IC Mean**: 19.89% (All A-shares), 22.41% (CSI 1000)[48][49] - **Multi-Long-Short Portfolio Return**: Positive across all stock pools[48][49] 3. Technical Factor - **IC Mean**: 13.68% (All A-shares), 8.17% (CSI 500)[48][49] - **Multi-Long-Short Portfolio Return**: Positive across all stock pools[48][49] 4. Growth Factor - **IC Mean**: -6.34% (All A-shares), -10.06% (CSI 500)[48][49] - **Multi-Long-Short Portfolio Return**: Negative across all stock pools[48][49] 5. Quality Factor - **IC Mean**: -14.36% (All A-shares), -14.07% (CSI 500)[48][49] - **Multi-Long-Short Portfolio Return**: Negative across all stock pools[48][49]

- The macro timing model recommends a 50% equity allocation for October based on signal strengths of 40% for economic growth and 60% for monetary liquidity[6][47][48] - The macro timing strategy has achieved a return of 13.57% from the beginning of 2025 to date, compared to a 25.65% return for Wind All A Index during the same period[6][47][49] - The rotation model suggests switching to the "Mao Index" style due to the positive slope of the Mao Index's 20-day closing price (0.08%) compared to the negative slope of the micro-cap index (-0.001%)[18][25][27] - The micro-cap timing risk control indicators, including volatility crowding degree (-17.37%) and 10-year government bond yield (-13.46%), indicate that systemic risk is within a controllable range[18][20][25] - Among stock selection factors, reversal factors performed the best last week with an IC mean of 22.65% for all A-shares, followed by technical factors (14.88%) and value factors (25.89%)[51][52][53] - For convertible bonds, quantitative bond selection factors such as stock consensus expectations, stock value, and bond valuation factors achieved positive IC means last week[57][58][59]

Core Viewpoint - The article discusses various strategies for enhancing investment returns, focusing on fundamental enhancement, quantitative enhancement, and new share subscription methods. Group 1: Fundamental Enhancement - Fundamental enhancement involves allocating more to high-performing sectors such as consumer and healthcare, as well as to companies with high Return on Equity (ROE) and strong long-term profitability [4]. - It emphasizes the importance of investing in leading companies within industries that exhibit a leader effect, which can provide better returns [4]. - This strategy is typically employed by actively managed funds with strong individual stock research capabilities, and the findings can also be applied to index-enhanced funds [4][5]. Group 2: Quantitative Enhancement - Quantitative enhancement utilizes various quantitative factors to build models that capture investment opportunities, requiring strong capabilities from the fund's quantitative team [6]. - Common quantitative factors include valuation factors, fundamental factors, price-related factors, and sentiment factors, which can be used individually or in combination [6]. - A successful quantitative model typically includes factors that identify high-quality stocks and those that are undervalued, allowing for strategic buying during low valuation periods [7]. Group 3: New Share Subscription - In addition to fundamental and quantitative enhancements, funds can also enhance returns through new share subscriptions, which are typically accessible to funds with a scale of over 200 million [7].

- Model Name: Diffusion Index Model; Model Construction Idea: The model monitors the critical points of future diffusion index changes; Model Construction Process: The model uses a table to monitor the future diffusion index change points. The horizontal axis represents the percentage change in stock prices from the current week, ranging from 1.1 to 0.9, indicating a 10% rise to a 10% fall. The vertical axis represents the length of the review period from the current week, with T ranging from 20 to 10, indicating the number of trading days from the current week, i.e., N from 0 to 10, N=20-T. For example, a horizontal axis value of 0.95 and a vertical axis value of 15 days is 0.21, indicating that if all stocks in the micro-cap index fall by 5% after N=5 days, the value of the micro-cap diffusion index is 0.21. The current value of the diffusion index is 0.76 (horizontal axis 20, vertical axis 1.00) [40][41][42] - Model Name: Initial Threshold Method (Left-Side Trading); Model Construction Idea: The model triggers a short position signal when the diffusion index reaches a certain threshold; Model Construction Process: The initial threshold method triggered a short position signal at the close of May 8, 2025, with a value of 0.9850 [45][46] - Model Name: Delayed Threshold Method (Right-Side Trading); Model Construction Idea: The model triggers a short position signal when the diffusion index reaches a certain threshold; Model Construction Process: The delayed threshold method triggered a short position signal at the close of May 15, 2025, with a value of 0.8975 [47][49] - Model Name: Double Moving Average Method (Adaptive Trading); Model Construction Idea: The model triggers a short position signal when the diffusion index reaches a certain threshold; Model Construction Process: The double moving average method triggered a short position signal at the close of August 4, 2025 [50][51] - Factor Name: Logarithmic Market Value Factor; Factor Construction Idea: The factor ranks stocks based on their logarithmic market value; Factor Construction Process: The factor is calculated by taking the logarithm of the market value of stocks and ranking them accordingly; Factor Evaluation: The factor performed well this week with a rank IC of 0.206, compared to a historical average of -0.033 [4][18][35] - Factor Name: Nonlinear Market Value Factor; Factor Construction Idea: The factor ranks stocks based on their nonlinear market value; Factor Construction Process: The factor is calculated by taking the nonlinear transformation of the market value of stocks and ranking them accordingly; Factor Evaluation: The factor performed well this week with a rank IC of 0.206, compared to a historical average of -0.033 [4][18][35] - Factor Name: Unadjusted Stock Price Factor; Factor Construction Idea: The factor ranks stocks based on their unadjusted stock price; Factor Construction Process: The factor is calculated by taking the unadjusted stock price of stocks and ranking them accordingly; Factor Evaluation: The factor performed well this week with a rank IC of 0.15, compared to a historical average of -0.014 [4][18][35] - Factor Name: Profitability Factor; Factor Construction Idea: The factor ranks stocks based on their profitability; Factor Construction Process: The factor is calculated by taking the profitability metrics of stocks and ranking them accordingly; Factor Evaluation: The factor performed well this week with a rank IC of 0.141, compared to a historical average of 0.022 [4][18][35] - Factor Name: Single Quarter ROE Factor; Factor Construction Idea: The factor ranks stocks based on their single quarter return on equity (ROE); Factor Construction Process: The factor is calculated by taking the single quarter ROE of stocks and ranking them accordingly; Factor Evaluation: The factor performed well this week with a rank IC of 0.137, compared to a historical average of 0.022 [4][18][35] - Diffusion Index Model, Rank IC: 0.76 [40][41][42] - Initial Threshold Method, Rank IC: 0.9850 [45][46] - Delayed Threshold Method, Rank IC: 0.8975 [47][49] - Double Moving Average Method, Rank IC: 0.76 [50][51] - Logarithmic Market Value Factor, Rank IC: 0.206 [4][18][35] - Nonlinear Market Value Factor, Rank IC: 0.206 [4][18][35] - Unadjusted Stock Price Factor, Rank IC: 0.15 [4][18][35] - Profitability Factor, Rank IC: 0.141 [4][18][35] - Single Quarter ROE Factor, Rank IC: 0.137 [4][18][35]

- The macro timing strategy model recommended an equity position of 50% for July, with a signal strength of 100% for economic growth and 0% for monetary liquidity[4][27][28] - The macro timing strategy's year-to-date return as of the end of June 2025 was 1.34%, compared to the Wind All A Index return of 1.04%[4][27] - The micro-cap/large-cap index relative net value rose to 2.00 times, above its 243-day moving average of 1.48 times, indicating strong short-term momentum for micro-cap stocks[5][31] - The volatility congestion ratio was -13.56% year-on-year, well below the 55% risk threshold, indicating that the risk warning has been completely lifted[5][31] - The 10-year government bond yield was -21.85% year-on-year, also below the 30% interest rate risk control line, indicating that medium-term risks are under control[5][31] - Value factor in the CSI 300 pool had an IC of 12.36%, while the growth factor in the CSI 500 pool had an IC of -14.01%[37] - Quality factor in the CSI 500 and CSI 1000 pools had ICs of -18.32% and -2.99%, respectively[37] - Market capitalization factor in the All A-share pool had an IC of -7.07%[37] - Value factor in the CSI 300 pool recorded a weekly return of approximately 3.05%, while the consensus expectation factor in the CSI 500 pool had a drawdown of approximately -1.23%[37] - Market capitalization factor in the All A-share pool had a drawdown of approximately -0.56%, while the reversal factor in the CSI 300 pool recorded a return of approximately 2.09%[37] - Quality factor in the All A-share pool recorded a return of approximately 0.40%[37] - The quantifiable bond selection factors for convertible bonds showed significant differentiation in performance, with the stock growth factor leading with a weekly return of approximately 1.25%[41] - The stock consensus expectation factor followed closely with a weekly return of approximately 1.14%, while the stock quality factor recorded a return of approximately -0.13%[41] - The stock value factor had a drawdown of approximately -0.30%, and the convertible bond valuation factor had the deepest decline with a weekly return of -0.68%[41]

Quantitative Factors and Construction Methods 1. Factor Name: BP (Book-to-Price Ratio) - **Factor Construction Idea**: Measures the valuation of a stock by comparing its book value to its market value [13] - **Factor Construction Process**: - Formula: $ BP = \frac{\text{Current Net Asset}}{\text{Current Total Market Value}} $ [13] 2. Factor Name: BP Three-Year Percentile - **Factor Construction Idea**: Evaluates the relative valuation of a stock over the past three years [13] - **Factor Construction Process**: - Formula: $ \text{BP Three-Year Percentile} = \text{Percentile of Current BP in the Last Three Years} $ [13] 3. Factor Name: Quarterly EP (Earnings-to-Price Ratio) - **Factor Construction Idea**: Measures profitability relative to market value on a quarterly basis [13] - **Factor Construction Process**: - Formula: $ \text{Quarterly EP} = \frac{\text{Quarterly Net Profit}}{\text{Net Asset}} $ [13] 4. Factor Name: Quarterly EP One-Year Percentile - **Factor Construction Idea**: Tracks the relative profitability of a stock over the past year [13] - **Factor Construction Process**: - Formula: $ \text{Quarterly EP One-Year Percentile} = \text{Percentile of Current Quarterly EP in the Last Year} $ [13] 5. Factor Name: Quarterly SP (Sales-to-Price Ratio) - **Factor Construction Idea**: Measures revenue generation relative to market value on a quarterly basis [13] - **Factor Construction Process**: - Formula: $ \text{Quarterly SP} = \frac{\text{Quarterly Operating Revenue}}{\text{Net Asset}} $ [13] 6. Factor Name: Quarterly SP One-Year Percentile - **Factor Construction Idea**: Tracks the relative revenue generation of a stock over the past year [13] - **Factor Construction Process**: - Formula: $ \text{Quarterly SP One-Year Percentile} = \text{Percentile of Current Quarterly SP in the Last Year} $ [13] 7. Factor Name: Quarterly Gross Margin - **Factor Construction Idea**: Measures profitability efficiency by comparing gross profit to sales revenue [13] - **Factor Construction Process**: - Formula: $ \text{Quarterly Gross Margin} = \frac{\text{Quarterly Gross Profit}}{\text{Quarterly Sales Revenue}} $ [13] 8. Factor Name: Standardized Unexpected Earnings (SUE) - **Factor Construction Idea**: Quantifies earnings surprises relative to historical growth trends [13] - **Factor Construction Process**: - Formula: $ \text{SUE} = \frac{\text{Current Quarterly Net Profit} - (\text{Last Year Same Quarter Net Profit} + \text{Average Growth of Last 8 Quarters})}{\text{Standard Deviation of Growth in Last 8 Quarters}} $ [13] 9. Factor Name: Standardized Unexpected Revenue (SUR) - **Factor Construction Idea**: Quantifies revenue surprises relative to historical growth trends [13] - **Factor Construction Process**: - Formula: $ \text{SUR} = \frac{\text{Current Quarterly Revenue} - (\text{Last Year Same Quarter Revenue} + \text{Average Growth of Last 8 Quarters})}{\text{Standard Deviation of Growth in Last 8 Quarters}} $ [13] 10. Factor Name: 1-Month Turnover Rate and Price Correlation - **Factor Construction Idea**: Measures the relationship between turnover rate and price over the past month [13] - **Factor Construction Process**: - Formula: $ \text{Correlation} = \text{Correlation Coefficient of Turnover Rate and Price over the Last 20 Trading Days} $ [13] --- Factor Backtesting Results IC Performance - **BP**: Weekly IC: -7.07%, Monthly IC: 0.84%, Yearly IC: 1.37%, Historical IC: 2.35% [9] - **BP Three-Year Percentile**: Weekly IC: -4.35%, Monthly IC: -0.95%, Yearly IC: 2.26%, Historical IC: 1.73% [9] - **Quarterly EP**: Weekly IC: 4.35%, Monthly IC: 0.50%, Yearly IC: -0.03%, Historical IC: 1.07% [9] - **Quarterly EP One-Year Percentile**: Weekly IC: -0.91%, Monthly IC: 2.98%, Yearly IC: 1.21%, Historical IC: 1.72% [9] - **Quarterly SP**: Weekly IC: -1.33%, Monthly IC: 0.50%, Yearly IC: 0.45%, Historical IC: 0.70% [9] - **Quarterly SP One-Year Percentile**: Weekly IC: 1.57%, Monthly IC: 1.02%, Yearly IC: 2.99%, Historical IC: 1.87% [9] - **Quarterly Gross Margin**: Weekly IC: 7.04%, Monthly IC: 0.06%, Yearly IC: 0.49%, Historical IC: 0.50% [9] - **SUE**: Weekly IC: 4.59%, Monthly IC: 4.44%, Yearly IC: 0.87%, Historical IC: 0.97% [9] - **SUR**: Weekly IC: 3.53%, Monthly IC: 2.05%, Yearly IC: 0.98%, Historical IC: 0.86% [9] - **1-Month Turnover Rate and Price Correlation**: Weekly IC: 10.17%, Monthly IC: 2.65%, Yearly IC: 2.75%, Historical IC: 1.69% [9] Excess Return of Long-Only Portfolios - **BP**: Weekly: -0.90%, Monthly: 0.06%, Yearly: -0.30%, Historical: 33.52% [11] - **BP Three-Year Percentile**: Weekly: -0.60%, Monthly: -2.29%, Yearly: -0.76%, Historical: -1.67% [11] - **Quarterly EP**: Weekly: -0.16%, Monthly: 0.58%, Yearly: 2.84%, Historical: 29.38% [11] - **Quarterly EP One-Year Percentile**: Weekly: -0.61%, Monthly: 0.55%, Yearly: 3.45%, Historical: 31.87% [11] - **Quarterly SP**: Weekly: -0.39%, Monthly: 0.15%, Yearly: 0.93%, Historical: -3.80% [11] - **Quarterly SP One-Year Percentile**: Weekly: -0.30%, Monthly: -0.19%, Yearly: 10.46%, Historical: -0.86% [11] - **Quarterly Gross Margin**: Weekly: -0.09%, Monthly: -0.15%, Yearly: 5.26%, Historical: 15.26% [11] - **SUE**: Weekly: 0.92%, Monthly: 2.09%, Yearly: -0.37%, Historical: 6.59% [11] - **SUR**: Weekly: 0.83%, Monthly: 1.29%, Yearly: 1.23%, Historical: 13.76% [11] - **1-Month Turnover Rate and Price Correlation**: Weekly: 0.13%, Monthly: 1.11%, Yearly: 7.31%, Historical: 20.14% [11]

- The macro timing strategy model suggests a recommended equity position of 45% for June, with signal strengths of 50% for economic growth and 40% for monetary liquidity[3][26][27] - The micro-cap stock rotation and timing signals remain strong, with the micro-cap/Chow index relative net value rising to 1.93 times, above its 243-day moving average of 1.41 times[4][29] - The micro-cap stock's 20-day price slope is 0.00257, indicating stronger upward momentum compared to the Chow index's -0.00019[4][29] - The risk warning has been lifted, with volatility congestion at -0.415%, well below the warning threshold of 0.55%, and the 10-year government bond yield at -0.27%, below the risk control line of 0.30%[4][29] - The market's recent rise has favored small-cap growth styles, leading to strong performance in market cap, consensus expectations, and growth factors, while technical and low-volatility factors have underperformed[4][40] - The market cap factor had the highest IC in the CSI 300 pool at 0.2241, while the growth factor had a weak signal in the CSI 500 pool with an IC of -0.0305[39] - The market cap factor also performed well in the entire A-share pool with an IC of 0.2347[39] - The weekly performance of multi-factor strategies showed the market cap factor leading with a gain of approximately +2.21% in the CSI 300 pool, while the growth factor rose by about +0.17%[39] - The consensus expectations factor and growth factor are expected to continue performing well, while technical and low-volatility factors may see a rebound as market sentiment slows down[40] - The convertible bond selection factors showed the stock growth factor leading with a gain of about 0.72%, followed by the stock consensus expectations factor with a return of about 0.63%[45] - The stock quality factor fell by about 0.26%, the stock value factor retreated by about 0.66%, and the convertible bond valuation factor had the largest decline of about 1.70%[45] Model Backtest Results - Macro timing strategy model, equity position: 45%[3][26][27] - Micro-cap stock/Chow index relative net value: 1.93 times[4][29] - Micro-cap stock 20-day price slope: 0.00257[4][29] - Volatility congestion: -0.415%[4][29] - 10-year government bond yield: -0.27%[4][29] - Market cap factor IC in CSI 300 pool: 0.2241[39] - Growth factor IC in CSI 500 pool: -0.0305[39] - Market cap factor IC in entire A-share pool: 0.2347[39] - Market cap factor weekly gain in CSI 300 pool: +2.21%[39] - Growth factor weekly gain in CSI 300 pool: +0.17%[39] - Stock growth factor weekly gain: 0.72%[45] - Stock consensus expectations factor weekly return: 0.63%[45] - Stock quality factor weekly decline: -0.26%[45] - Stock value factor weekly decline: -0.66%[45] - Convertible bond valuation factor weekly decline: -1.70%[45]

- The report discusses the performance of major market indices in China over the past week, highlighting that the SSE 50, CSI 300, CSI 500, and CSI 1000 indices all experienced gains, with respective increases of 1.93%, 2%, 1.6%, and 2.22%[2][12] - The report mentions the release of April inflation data in China, noting that the PPI was -0.27% year-on-year, down 0.2% from the previous month, and the CPI was -0.1% year-on-year, unchanged from the previous month[3][20] - The People's Bank of China announced ten specific measures, including a 0.5% reserve requirement ratio cut and a 0.1% interest rate cut, which positively impacted the banking sector[3][20] - The report highlights the implementation of the "Action Plan to Promote High-Quality Development of Public Funds" by the China Securities Regulatory Commission, which aims to ensure that fund managers' performance compensation is significantly reduced if their products underperform the benchmark by more than 10% over three years[3][20] - The report suggests that fund managers will focus more on closely tracking performance benchmarks and allocating funds to large-cap stocks to reduce market volatility and avoid significant style deviations[3][20] - The report recommends maintaining core positions in large-cap value stocks and tactically switching to financial and domestic consumption sectors for the upcoming week[4][21] - The report discusses the micro-cap stock index timing and rotation indicators, noting that the micro-cap stock index relative net value crossed above the annual line on October 14, 2024, and the trend has continued since then[5][30] - The micro-cap timing model uses two mid-term risk warning indicators: the ten-year government bond yield year-on-year indicator and the volatility congestion degree year-on-year indicator. As of October 15, 2024, the volatility congestion degree indicator fell below the threshold, and the ten-year government bond yield indicator was -20.45%, not triggering the risk control threshold of 0.3[5][30] - The report tracks the performance of eight major stock selection factors across different stock pools (all A-shares, CSI 300, CSI 500, and CSI 1000). The market capitalization factor performed best in the CSI 300 stock pool, while the reversal factor performed well in the CSI 500 and CSI 1000 stock pools[39][40] - The report notes that due to continued market volatility, volume-price factors maintained good performance, and small-cap stocks performed well, driving the market capitalization factor upward. The value factor also performed well due to the positive impact of the reserve requirement ratio cut on low-valuation sectors like banking[40] - The report provides the IC mean and long-short returns for the major factors, showing that the volatility factor achieved positive returns in the all A-shares stock pool, indicating some stability[41] - The report discusses the construction of quantitative bond selection factors for convertible bonds, tracking the performance of five bond selection factors. The equity growth factor achieved positive long-short returns last week[45][46] - The report includes detailed definitions and classifications of major factors, such as market capitalization, value, growth, quality, consensus expectations, technical, volatility, and reversal factors[51]