Quantitative Models and Construction Methods 1. Model Name: "Day and Night Convergence" New Momentum Factor - **Model Construction Idea**: The model improves traditional momentum factors by incorporating the price-volume relationship during intraday and overnight trading sessions, leveraging the distinct characteristics of these two periods to enhance signal strength and stability [7][6] - **Model Construction Process**: 1. The trading period is divided into intraday and overnight sessions [7] 2. Price-volume relationships are separately analyzed for each session to identify unique patterns and characteristics [7] 3. The insights from these analyses are combined to construct a new momentum factor, referred to as the "Day and Night Convergence" factor [7] - **Model Evaluation**: The model demonstrates significant improvement in stability and performance compared to traditional momentum factors, effectively addressing the instability issues observed in the A-share market [6][7] --- Model Backtesting Results 1. "Day and Night Convergence" New Momentum Factor - **Annualized Return**: 18.08% [14] - **Annualized Volatility**: 8.75% [14] - **Information Ratio (IR)**: 2.07 [14] - **Monthly Win Rate**: 77.54% [14] - **Maximum Drawdown**: 9.07% [14]

Summary of Key Points from the Conference Call Industry Overview - The conference call discusses the current state of global equity markets, with a focus on the US market, including specific references to sectors such as technology and real estate in China. Core Insights and Arguments 1. **Market Performance**: The week’s market action was mixed, with notable performances from NVDA in the US, property stocks in China, and the FTSE in the UK [1][2] 2. **Economic Expectations**: The market is revising economic growth expectations upward while simultaneously lowering expectations for the Fed Funds rate [3] 3. **Technical Indicators**: Local seasonal factors are strong, and capital flows are supportive, primarily from systematic investors [3] 4. **Investment Strategy**: Despite current unattractiveness for adding risk, there is a belief that US large-cap stocks still have potential for growth [4] 5. **S&P 500 Forecast**: The US portfolio strategy has upgraded its outlook, predicting the S&P 500 will reach 6900 (+10%) in 12 months, assuming no change in earnings expectations [5][6] 6. **Market Breadth**: The breadth of the market is considered narrow, but there is an expectation for improvement within large-cap stocks, while small-cap stocks are expected to underperform [7][8] 7. **Momentum Factor Issues**: The momentum factor has faced challenges, with a significant decline noted in recent weeks [9][10] 8. **Investor Sentiment**: Various sentiment measures indicate a somewhat optimistic outlook, but positioning has not kept pace with this sentiment [13][14] 9. **Earnings Season**: The upcoming earnings season is anticipated to show a 4% growth in EPS for Q2, which is lower than previous expectations, making it harder for companies to beat estimates [15][16] 10. **Tariff Impacts**: Asian equities have remained stable despite tariff increases, and the market expects framework deals with the EU and India soon [17][18] 11. **AI Capital Expenditure**: A podcast discussion highlighted the potential for high AI capital expenditure while maintaining low displacement of knowledge workers [19][20] 12. **Regional Bank Outlook**: Recent regulatory announcements may lead to increased loan growth and M&A activity in US regional banks [21] 13. **Japanese Market Activity**: Foreign investment in Japan has been strong, with the Nikkei index nearing 40,000 [22] 14. **Chinese Market Skepticism**: Despite skepticism, the Shanghai Composite Index has rebounded to levels not seen since early 2022 [23] 15. **European Earnings Trends**: Earnings estimates for European equities are trending down, contrasting with the stabilization seen in US equities [24] 16. **Bitcoin Surge**: Bitcoin has seen a significant increase, rising sevenfold since late 2022 [25] Other Important Insights - The "high retail sentiment basket" has broken out, surpassing previous highs from 2021 [10] - The overall bullish narrative for US equities is supported by rising growth expectations [27] - A snapshot of recent capital flows indicates varying trends across regions, with significant implications for investment strategies [33][34] This summary encapsulates the key points discussed in the conference call, providing insights into market dynamics, sector performances, and future expectations.

Quantitative Factors and Construction Methods 1. Factor Name: **bp** - **Factor Construction Idea**: Measures the valuation level of a stock based on its book-to-price ratio [13] - **Factor Construction Process**: Calculated as the current net asset divided by the current total market value $ 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**: Represents the percentile rank of the current bp value within the stock's bp distribution over the last three years [13] 3. Factor Name: **Quarterly EP** - **Factor Construction Idea**: Reflects the profitability of a stock relative to its equity [13] - **Factor Construction Process**: Calculated as the quarterly net profit divided by the net asset $ \text{Quarterly EP} = \frac{\text{Quarterly Net Profit}}{\text{Net Asset}} $ [13] 4. Factor Name: **Quarterly EP One-Year Percentile** - **Factor Construction Idea**: Measures the relative profitability of a stock over the past year [13] - **Factor Construction Process**: Represents the percentile rank of the current quarterly EP value within the stock's EP distribution over the last year [13] 5. Factor Name: **Quarterly SP** - **Factor Construction Idea**: Indicates the revenue generation efficiency of a stock relative to its equity [13] - **Factor Construction Process**: Calculated as the quarterly operating revenue divided by the net asset $ \text{Quarterly SP} = \frac{\text{Quarterly Operating Revenue}}{\text{Net Asset}} $ [13] 6. Factor Name: **Quarterly SP One-Year Percentile** - **Factor Construction Idea**: Evaluates the relative revenue efficiency of a stock over the past year [13] - **Factor Construction Process**: Represents the percentile rank of the current quarterly SP value within the stock's SP distribution over the last year [13] 7. Factor Name: **Fama-French Three-Factor One-Month Residual Volatility** - **Factor Construction Idea**: Measures the idiosyncratic risk of a stock based on its residual volatility after regressing against the Fama-French three-factor model [13] - **Factor Construction Process**: Calculated as the standard deviation of the residuals from the regression of daily returns over the past 20 trading days on the Fama-French three factors $ \text{Residual Volatility} = \sqrt{\frac{\sum (\text{Actual Return} - \text{Predicted Return})^2}{n}} $ where "Predicted Return" is derived from the Fama-French three-factor model [13] 8. Factor Name: **One-Month Excess Return Volatility** - **Factor Construction Idea**: Captures the volatility of a stock's excess return over the past month [13] - **Factor Construction Process**: Calculated as the standard deviation of the excess returns over the past 20 trading days $ \text{Excess Return Volatility} = \sqrt{\frac{\sum (\text{Excess Return} - \text{Mean Excess Return})^2}{n}} $ [13] --- Factor Backtesting Results IC Performance - **bp**: Weekly IC = 9.73%, Monthly IC = 2.21%, Yearly IC = 1.64%, Historical IC = 2.27% [9] - **bp Three-Year Percentile**: Weekly IC = 14.75%, Monthly IC = 3.36%, Yearly IC = 2.85%, Historical IC = 1.69% [9] - **Quarterly EP**: Weekly IC = -4.31%, Monthly IC = 0.38%, Yearly IC = -0.58%, Historical IC = 1.13% [9] - **Quarterly EP One-Year Percentile**: Weekly IC = 7.25%, Monthly IC = 3.57%, Yearly IC = 0.94%, Historical IC = 1.73% [9] - **Quarterly SP**: Weekly IC = -0.92%, Monthly IC = 0.38%, Yearly IC = 0.23%, Historical IC = 0.71% [9] - **Quarterly SP One-Year Percentile**: Weekly IC = 11.79%, Monthly IC = 4.40%, Yearly IC = 3.08%, Historical IC = 1.86% [9] - **Fama-French Three-Factor One-Month Residual Volatility**: Weekly IC = 14.50%, Monthly IC = 5.11%, Yearly IC = 3.29%, Historical IC = 2.54% [9] - **One-Month Excess Return Volatility**: Weekly IC = 14.87%, Monthly IC = 5.14%, Yearly IC = 3.26%, Historical IC = 2.22% [9] Long-Only Portfolio Excess Returns - **bp**: Weekly Excess Return = 0.52%, Monthly Excess Return = -0.36%, Yearly Excess Return = 1.57%, Historical Cumulative Excess Return = 30.39% [11] - **bp Three-Year Percentile**: Weekly Excess Return = 0.75%, Monthly Excess Return = -0.59%, Yearly Excess Return = 3.19%, Historical Cumulative Excess Return = -1.63% [11] - **Quarterly EP**: Weekly Excess Return = 0.13%, Monthly Excess Return = 1.56%, Yearly Excess Return = 1.05%, Historical Cumulative Excess Return = 30.66% [11] - **Quarterly EP One-Year Percentile**: Weekly Excess Return = 0.81%, Monthly Excess Return = 0.32%, Yearly Excess Return = 3.53%, Historical Cumulative Excess Return = 33.78% [11] - **Quarterly SP**: Weekly Excess Return = -0.30%, Monthly Excess Return = 0.33%, Yearly Excess Return = 0.34%, Historical Cumulative Excess Return = -2.98% [11] - **Quarterly SP One-Year Percentile**: Weekly Excess Return = 0.56%, Monthly Excess Return = 1.09%, Yearly Excess Return = 9.91%, Historical Cumulative Excess Return = 1.99% [11] - **Fama-French Three-Factor One-Month Residual Volatility**: Weekly Excess Return = 1.33%, Monthly Excess Return = 1.68%, Yearly Excess Return = 8.97%, Historical Cumulative Excess Return = 19.84% [11] - **One-Month Excess Return Volatility**: Weekly Excess Return = 1.34%, Monthly Excess Return = 1.55%, Yearly Excess Return = 10.29%, Historical Cumulative Excess Return = 11.42% [11]

Group 1 - June is typically a month of consolidation across various asset classes, including currencies, commodities, and stocks [1] - Historically, the S&P 500 index shows a slight increase of 0.2% in June since 1950 [2] - The first week of June tends to perform strongly, stabilizing in the middle of the month, and then declining towards the end [4] Group 2 - June has been identified as a month with significant factor rotation, with quality, momentum, and size factors performing well, while value factors lag [8] - If seasonal patterns hold, June is expected to favor high-quality large-cap growth stocks, which are positioned at the intersection of all factor tilts [10] Group 3 - The European quality factor may rebound in June, as seasonal factors support long/short quality factor strategies [11] - The healthcare sector has historically performed well in June, with an average increase of 0.8% relative to the S&P 500 index [13] Group 4 - The biotechnology sector is particularly strong seasonally, suggesting that going long on the biotechnology index (XBI) may be the best strategy for the healthcare sector in June [15] - Historically, gold performs poorly in June but marks the end of a seasonal downturn, with significant improvement expected in July [15][17]

Quantitative Factors and Construction Methods Factor Name: BP (Book-to-Price Ratio) - **Construction Idea**: Measures the valuation of a stock by comparing its book value to its market value [13] - **Construction Process**: - Formula: $ BP = \frac{\text{Current Book Value}}{\text{Current Market Value}} $ [13] Factor Name: BP Three-Year Percentile - **Construction Idea**: Evaluates the relative valuation of a stock over the past three years [13] - **Construction Process**: - Formula: BP Three-Year Percentile = Percentile rank of the current BP within the last three years [13] Factor Name: Quarterly EP (Earnings-to-Price Ratio) - **Construction Idea**: Measures the profitability of a stock relative to its market price [13] - **Construction Process**: - Formula: $ \text{Quarterly EP} = \frac{\text{Quarterly Net Profit}}{\text{Net Assets}} $ [13] Factor Name: Quarterly EP One-Year Percentile - **Construction Idea**: Tracks the relative profitability of a stock over the past year [13] - **Construction Process**: - Formula: Quarterly EP One-Year Percentile = Percentile rank of the current Quarterly EP within the last year [13] Factor Name: Quarterly SP (Sales-to-Price Ratio) - **Construction Idea**: Measures the revenue generation capability of a stock relative to its market price [13] - **Construction Process**: - Formula: $ \text{Quarterly SP} = \frac{\text{Quarterly Revenue}}{\text{Net Assets}} $ [13] Factor Name: Quarterly SP One-Year Percentile - **Construction Idea**: Tracks the relative revenue generation capability of a stock over the past year [13] - **Construction Process**: - Formula: Quarterly SP One-Year Percentile = Percentile rank of the current Quarterly SP within the last year [13] Factor Name: Small Market Cap - **Construction Idea**: Captures the size effect by focusing on smaller companies [13] - **Construction Process**: - Formula: $ \text{Small Market Cap} = \log(\text{Market Capitalization}) $ [13] Factor Name: 1-Month Reversal - **Construction Idea**: Captures the short-term reversal effect in stock prices [13] - **Construction Process**: - Formula: $ \text{1-Month Reversal} = \text{Cumulative Return over the Last 20 Trading Days} $ [13] Factor Name: Fama-French Three-Factor 1-Month Residual Volatility - **Construction Idea**: Measures the idiosyncratic risk of a stock based on the Fama-French three-factor model [13] - **Construction Process**: - Formula: $ \text{Residual Volatility} = \text{Standard Deviation of Residuals from Fama-French Three-Factor Regression over the Last 20 Trading Days} $ [13] --- Factor Backtesting Results IC Performance - **BP**: Weekly IC = -4.17%, Monthly IC = 0.88%, Yearly IC = 1.86%, Historical IC = 2.19% [9] - **BP Three-Year Percentile**: Weekly IC = -1.08%, Monthly IC = -0.99%, Yearly IC = 2.58%, Historical IC = 1.58% [9] - **Quarterly EP**: Weekly IC = 2.10%, Monthly IC = -0.48%, Yearly IC = -0.46%, Historical IC = 1.18% [9] - **Quarterly EP One-Year Percentile**: Weekly IC = 4.23%, Monthly IC = 3.81%, Yearly IC = 0.98%, Historical IC = 1.73% [9] - **Quarterly SP**: Weekly IC = 0.79%, Monthly IC = 0.93%, Yearly IC = 0.53%, Historical IC = 0.74% [9] - **Quarterly SP One-Year Percentile**: Weekly IC = 4.80%, Monthly IC = 2.82%, Yearly IC = 2.87%, Historical IC = 1.83% [9] - **Small Market Cap**: Weekly IC = 10.49%, Monthly IC = 8.17%, Yearly IC = 3.61%, Historical IC = 2.05% [9] - **1-Month Reversal**: Weekly IC = 7.22%, Monthly IC = 1.22%, Yearly IC = 3.40%, Historical IC = 2.22% [9] - **Fama-French Three-Factor 1-Month Residual Volatility**: Weekly IC = 3.60%, Monthly IC = 1.11%, Yearly IC = 3.49%, Historical IC = 2.48% [9] Excess Return Performance (Long-Only Portfolio) - **BP**: Weekly Excess Return = -0.83%, Monthly Excess Return = -1.04%, Yearly Excess Return = 3.02%, Historical Cumulative Excess Return = 28.90% [11] - **BP Three-Year Percentile**: Weekly Excess Return = -0.58%, Monthly Excess Return = -1.51%, Yearly Excess Return = 0.97%, Historical Cumulative Excess Return = -3.21% [11] - **Quarterly EP**: Weekly Excess Return = 0.57%, Monthly Excess Return = 1.10%, Yearly Excess Return = 1.44%, Historical Cumulative Excess Return = 30.83% [11] - **Quarterly EP One-Year Percentile**: Weekly Excess Return = -0.01%, Monthly Excess Return = 0.51%, Yearly Excess Return = 3.23%, Historical Cumulative Excess Return = 34.69% [11] - **Quarterly SP**: Weekly Excess Return = -0.01%, Monthly Excess Return = 0.49%, Yearly Excess Return = 0.70%, Historical Cumulative Excess Return = -2.69% [11] - **Quarterly SP One-Year Percentile**: Weekly Excess Return = 0.09%, Monthly Excess Return = 1.25%, Yearly Excess Return = 7.91%, Historical Cumulative Excess Return = 2.23% [11] - **Small Market Cap**: Weekly Excess Return = 0.96%, Monthly Excess Return = 2.76%, Yearly Excess Return = 18.31%, Historical Cumulative Excess Return = 62.57% [11] - **1-Month Reversal**: Weekly Excess Return = 0.83%, Monthly Excess Return = 0.76%, Yearly Excess Return = 3.54%, Historical Cumulative Excess Return = 1.57% [11] - **Fama-French Three-Factor 1-Month Residual Volatility**: Weekly Excess Return = 0.28%, Monthly Excess Return = 0.75%, Yearly Excess Return = 8.69%, Historical Cumulative Excess Return = 18.67% [11]

Investment Rating - The report gives a "green light" for the short-term outlook of US equities, indicating a positive investment sentiment [2]. Core Insights - The market is experiencing upward momentum until summer technicals and economic data come into play, with investors likely to be halted before any significant drawdown occurs [3]. - Retail investors are actively buying dips in US equities, while institutional activity remains muted [2]. - Robust liquidity is noted, with top of book liquidity at $11.08 million, above the one-year average of $10.65 million, supporting healthy trading in the near term [7][8]. Summary by Sections Market Setup - The report highlights a preference for specific trades, including SPX call spreads and hedging strategies for long positions [5]. - The liquidity environment is described as supportive for trading, although it may lose momentum as summer approaches [8]. Trading Activity - US equities have seen net buying for six consecutive sessions, with a notable increase in long buys, indicating strong market interest [27]. - The overall gross leverage has increased to 289.2%, placing it in the 95th percentile for the past year, driven by short leverage [28][29]. Seasonal Trends - The report notes that early to mid-June typically sees moderate market increases, providing a favorable trading environment, especially for bearish long-term views [64]. ETF Flows - Significant inflows into factor ETFs were observed, with May being the best month for inflows since the election, indicating strong investor interest in momentum strategies [43][50]. - The report also mentions a growing interest from global investors in emerging market equities due to USD weakness and US growth uncertainty [54].

Core Insights - The report explores the construction and application of a style factor system for A-shares, focusing on four dimensions: market capitalization, valuation, profitability, and momentum [2][9][12] - A-shares have exhibited different dominant factors over various periods, with profitability leading from 2013 to 2014, small-cap factors from 2015 to 2016, valuation from 2016 to 2018, and a return to profitability dominance from 2019 to early 2021 [2][24][27] - The report predicts a resurgence of high valuation factors starting in 2025, driven by expectations of weak profit recovery and strong policy support [2][27] Style Factor Construction and Performance - The style factor system is constructed using a bottom-up approach, assigning style labels to each stock based on their factor indicators [9][12] - The performance of the style factors shows that small-cap stocks have generally outperformed large-cap stocks since 2010, with a notable fivefold return from small-cap strategies [12][17] - Valuation factors indicate that low valuation styles have been particularly strong, especially during specific periods such as 2017-2018 and 2022-2024 [14][15] Influencing Factors of Style Factors - Profitability factors are highly correlated with economic cycles, showing better performance during economic upturns [45][46] - Valuation factors are closely linked to market sentiment, with high valuation stocks performing better during periods of positive sentiment [49][50] - Market capitalization factors are significantly influenced by remaining liquidity, with small-cap factors performing strongly in liquidity-rich environments [53][54] Application of Style Factor System - The report establishes an A-share style investment system based on the identified style factors, suggesting that the current dominant styles are high profitability, high valuation, and small-cap [2][27] - The analysis indicates that the A-share market has not fully priced in the expected profit recovery, suggesting potential upside for high profitability and high valuation factors [2][27] - Different asset types exhibit varying dominant style factors, with emerging growth assets showing significant small-cap advantages and dividend assets reflecting low valuation strengths [29][33]

- The PB-ROE-50 portfolio achieved an excess return of 1.15% in the CSI 500 stock pool, 0.29% in the CSI 800 stock pool, and -0.30% in the entire market stock pool[23][24] - The public research stock selection strategy achieved an excess return of 0.54% relative to the CSI 800, while the private research tracking strategy achieved an excess return of 2.61% relative to the CSI 800[25][26] - The block trading portfolio achieved an excess return of -0.61% relative to the CSI All Share Index[29][30] - The directed issuance portfolio achieved an excess return of 0.12% relative to the CSI All Share Index[35][36] - The momentum factor and growth factor achieved positive returns of 0.12% and 0.04% respectively, while the liquidity factor, beta factor, and size factor achieved significant negative returns of -0.56%, -0.52%, and -0.40% respectively[18][20] - In the CSI 500 stock pool, the best-performing factors this week were gross profit margin TTM (1.65%), single-quarter ROA (1.40%), and single-quarter total asset gross profit margin (1.26%)[14][15] - In the liquidity 1500 stock pool, the best-performing factors this week were 5-day average turnover rate (0.45%), 5-minute return skewness (0.36%), and downside volatility ratio (0.33%)[16][17] - In the CSI 500 stock pool, the worst-performing factors this week were single-quarter net profit year-on-year growth rate (-0.42%), 5-day reversal (-0.49%), and post-morning return factor (-0.64%)[14][15] - In the liquidity 1500 stock pool, the worst-performing factors this week were momentum spring factor (-1.07%), 5-day reversal (-1.11%), and single-quarter net profit year-on-year growth rate (-1.19%)[16][17] - In the CSI 300 stock pool, the best-performing factors this week were net profit gap (1.30%), 5-day exponential moving average of trading volume (1.15%), and total asset gross profit margin TTM (1.02%)[12][13] - In the CSI 300 stock pool, the worst-performing factors this week were logarithmic market value factor (-1.02%), momentum spring factor (-1.12%), and post-morning return factor (-1.29%)[12][13] - The net asset growth rate factor performed well in the comprehensive industry, and the net profit growth rate factor performed well in the steel industry[21][22] - The BP factor performed well in the beauty and personal care industry, and the EP factor performed well in the coal industry[21][22]

截至周一收盘，标普500指数较6144.15点的历史收盘高点仅低3%。诚然，引领市场反弹逼近历史高点 的大盘科技股近期可能失去动能。 DataTrek Research联合创始人杰西卡・拉贝（Jessica Rabe）指出，iShares MSCI美国动量因子ETF （MTUM）今年以来表现超过标普500指数10个百分点。从历史来看，在经历如此强劲的上涨后，动量 因子通常会跑输大盘指数。 美国银行指出，其全球股票风险偏好指标已从4月初的"深度恐慌"反弹至中性水平。 该行策略师里特什・萨马迪亚（Ritesh Samadhiya）指出，这一指标在过去38年中已32次从恐慌转向中 性。他补充称，在这些案例中，只有四次市场情绪回落至恐慌水平，"而在所有其他情况下，情绪进一 步上升至乐观水平"。 萨马迪亚表示："在货币宽松背景下，恐慌情绪彻底宣泄后市场广度显著改善，这在历史上通常与新一 轮牛市的延续或形成相关。尽管历史并非完美的指引，但大量证据表明市场可能继续攀升。" 目前来看，美股似乎势不可挡。标普500指数周一小幅收涨，逆转了穆迪下调美债评级引发的跌势，将 连胜纪录延长至六个交易日。这一涨势进一步巩固了该基准指数自 ...

- The report discusses the "Momentum Factor" as a key quantitative factor that performed well in the market during the week of April 21-25, 2025. The factor's construction is based on identifying stocks with strong recent performance, which are expected to continue outperforming in the short term[12][24][26] - The "Momentum Sentiment Indicator" is calculated by measuring the proportion of stocks within the CSI 300 Index that have achieved positive returns over a specified period (N days). The formula is: $ \text{CSI 300 Index N-day Upward Stock Proportion} = \frac{\text{Number of CSI 300 stocks with positive returns in the past N days}}{\text{Total number of CSI 300 stocks}} $ This indicator captures market sentiment and is used to identify potential market bottoms or overheating phases. It is noted that the indicator can quickly capture upward opportunities but may fail to avoid risks during market downturns[26][27][29] - The "Momentum Sentiment Indicator Timing Strategy" applies two smoothing windows (N1 and N2, where N1 > N2) to the indicator. When the short-term smoothed line (fast line) exceeds the long-term smoothed line (slow line), it signals a bullish market sentiment. Conversely, when the fast line is below the slow line, it indicates a neutral or bearish sentiment. As of April 25, 2025, the fast line was below the slow line, suggesting a cautious market outlook[27][29][33] - The "Moving Average Sentiment Indicator" uses eight moving averages (8, 13, 21, 34, 55, 89, 144, 233) of the CSI 300 Index closing prices. The indicator assigns values based on the position of the current price relative to these averages. If the current price exceeds the values of more than five moving averages, it signals a bullish sentiment. As of April 25, 2025, the CSI 300 Index was in a non-optimistic sentiment zone[33][37] - The report highlights "Cross-sectional Volatility" as a measure of short-term alpha opportunities. It notes that the cross-sectional volatility of CSI 300, CSI 500, and CSI 1000 Index components increased week-over-week, indicating improved alpha conditions. Over the past quarter, the cross-sectional volatility of CSI 300 and CSI 1000 was in the upper-middle range of the past six months, while CSI 500 was in the middle range[38][41] - "Time-series Volatility" is another alpha-related metric discussed. The time-series volatility of CSI 300, CSI 500, and CSI 1000 Index components rose week-over-week, signaling better alpha conditions. Over the past quarter, the time-series volatility of these indices was in the upper-middle range of the past six months[41][43] - The report evaluates the "Fund Concentration Degree Indicator," which measures the standard deviation of cross-sectional returns of concentrated fund portfolios. A lower standard deviation indicates higher fund concentration, while a higher standard deviation suggests fund dispersion. As of April 25, 2025, the fund concentration degree slightly increased, and the excess returns of concentrated funds and stocks declined week-over-week[85][88][90]