- The report primarily focuses on tracking and analyzing the performance of broad-based indices in the A-share market, including their daily returns, moving averages, turnover rates, and valuation metrics such as PE-TTM and risk premiums[1][2][3] - The turnover rate calculation is based on the formula: $ \text{Turnover Rate} = \frac{\Sigma(\text{Circulating Shares of Constituents} \times \text{Turnover Rate of Constituents})}{\Sigma(\text{Circulating Shares of Constituents})} $ This formula reflects the liquidity and trading activity of the indices[18] - The risk premium is calculated using the yield of 10-year government bonds as the risk-free rate, and the report highlights the relative investment value and deviation of indices based on this metric[27][28] - The PE-TTM metric is used as a valuation reference, with the report observing that indices like CSI 500 and CSI 1000 have high PE-TTM percentiles (99.83% and 99.59%, respectively), indicating elevated valuations compared to historical levels[42][43] - Dividend yield is analyzed as a measure of cash return, with indices like the CSI 500 and CSI 2000 showing relatively low dividend yields (5.95% and 2.4%, respectively), while the ChiNext Index has a higher 5-year historical percentile (58.51%)[51][53][55] - The report also examines the net asset value (NAV) break rate, which reflects the proportion of stocks trading below their book value, with the CSI 500 and CSI 2000 showing lower break rates (10.2% and 2.55%, respectively), suggesting relatively optimistic market sentiment for these indices[57]

- The report provides a snapshot of the performance of broad-based indices in the A-share market, highlighting the daily, weekly, monthly, quarterly, and yearly changes in index returns. For example, the CSI 2000 index showed the highest daily increase of 1.14%, while the CSI 500 index had the highest yearly increase of 11.02% [11][12][15] - The comparison of indices with their moving averages and 250-day highs and lows reveals that indices like CSI 500 broke their 250-day high, while indices such as the ChiNext index fell below their 5-day and 10-day moving averages [15] - Turnover rates and trading volume proportions are analyzed, showing that the CSI 2000 index had the highest turnover rate at 4.56%, while the CSI 500 index had a turnover rate of 2.34%. The CSI 300 index accounted for the largest proportion of trading volume at 24.45% [17] - The distribution of daily returns is examined, with metrics such as kurtosis and skewness used to describe the shape of the return distribution. The ChiNext index exhibited the largest negative kurtosis deviation, while the CSI 300 index had the smallest negative kurtosis deviation [23][24] - Risk premium analysis is conducted using the yield of 10-year government bonds as the risk-free rate. The CSI 2000 index showed the highest current risk premium at 1.13%, while the ChiNext index had the lowest at -0.70%. Historical comparisons indicate that the CSI 2000 index's risk premium is at the 79.52% percentile over the past five years [26][30][33] - PE-TTM ratios are analyzed as valuation metrics, with the CSI 500 index showing the highest current PE-TTM value at 37.72 and a 100% historical percentile over the past five years. The ChiNext index had a lower PE-TTM value at 43.34 and a 63.64% historical percentile [41][42] - Dividend yield analysis highlights that the CSI 500 index had a relatively low dividend yield of 1.26%, while the ChiNext index had a higher dividend yield at 0.93%. Historical comparisons show that the ChiNext index's dividend yield is at the 57.93% percentile over the past five years [50][52][54] - The report also examines the proportion of stocks trading below their book value (PB ratio < 1). The CSI 500 index had a current break-net rate of 10.2%, while the CSI 2000 index had the lowest break-net rate at 2.75% [56]

Group 1: Report Industry Investment Rating - Not provided in the content Group 2: Report's Core View - The overall stock strategy can be treated with cautious optimism. In the short term, the market is oscillating to digest profit - taking chips, and the medium - term oscillating upward pattern remains unchanged. Recently, be vigilant about the callback of over - traded sectors and pay attention to the impact of economic data and earnings reports on the fundamentals. Currently, the sentiment repair is relatively optimistic, the returns of medium and large - cap stocks are strengthening, the profit - making ability outside the index is poor, the basis is continuously converging, and the intraday Alpha and trading - type Alpha environments have not yet recovered. The basis cost is good, the excess environment is weak, and the tail risk is moderately high [11]. - For the long - only stock strategy, currently, it is advisable to increase positions in trading - type Alpha or intraday Alpha, and strictly control the proportion of component stocks in the long - only stock strategy with a high proportion of component stocks and a low exposure to small and micro - cap stocks. For the neutral strategy, it is recommended to seize the low - cost position - building window and increase positions in strategies that replicate T and strictly control exposure without relying on the return contribution of small and micro - cap stocks (mixed neutral strategies with basis management and index T strategies), but the cost - effectiveness of increasing positions in neutral strategies whose main returns rely on the contribution of small and micro - cap stocks is relatively low at this time [11]. Group 3: Summary by Relevant Catalogs 3.1 Equity Market Review - **Factor Calendar Overview**: As of January 16, 2026, most broad - based indices rose this week. The CSI 500 index rose 2.18%, the CSI 1000 index rose 1.27%, the CSI 2000 index rose 0.94%, the CSI All - Share index rose 0.47%, the CSI A500 rose 0.13%, the Shanghai - Shenzhen 300 index fell 0.57%, and the CSI Dividend fell 1.78%. Among the Barra style factors, the top three performing factors were BETA (1.34%), growth (0.53%), and momentum (0.26%); the bottom three were liquidity (- 0.53%), residual volatility (- 0.73%), and size (- 0.90%) [16]. - **Main Broad - based Index Review**: Most broad - based indices rose and most volatilities declined this week. The short - term, medium - term market activity is at a medium - high level. As of January 16, 2026, the average daily trading volume of the CSI All - Share index was 3.40 trillion yuan in the current 5 - day rolling average, and 2.51 trillion yuan in the current 20 - day rolling average [18][23][27]. - **Equity Industry Index Review**: This week, 41.9% of industries achieved positive returns, with the computer sector leading. The top three industries with the highest weekly returns were computer (3.82%), electronics (3.77%), and non - ferrous metals (3.03%); the bottom three were agriculture, forestry, animal husbandry and fishery (- 3.27%), real estate (- 3.52%), and national defense and military industry (- 4.92%) [28][29]. - **Equity Style Factor Review**: Among the Barra style factors, BETA, growth, and momentum factors performed well, while liquidity, residual volatility, and size factors performed poorly. Among the Giant Tide style indices, half of them rose. The top three indices with the highest returns were small - cap growth (3.61%), mid - cap growth (3.15%), and small - cap value (0.69%); the bottom three were large - cap growth (- 0.03%), mid - cap value (- 0.13%), and large - cap value (- 2.81%) [33][39]. - **Stock Index Futures Market Review**: The discount converged, and most volatilities rose. The basis of IF, IC, and IM all converged. The estimated impact of each contract's hedging on the average return of neutral products this week was - 0.10% for 300 neutral, - 0.17% for 500 neutral, and - 0.48% for 1000 neutral. Since the beginning of this year, it has been - 0.41% for 300 neutral, - 0.66% for 500 neutral, and - 0.86% for 1000 neutral [41][46]. - **Options Market Review**: The implied volatility generally increased this week, which is expected to be beneficial for option - buying and arbitrage strategies [50]. 3.2 Strategy Environment Monitoring - **Intraday Alpha Environment for Neutral and Index - Enhancement Strategies**: Overall, it is conducive to the accumulation of intraday Alpha in terms of liquidity, volatility, and the proportion of high - volatility stocks, but the net outflow of funds is not conducive to the accumulation of intraday Alpha [55][58][61]. - **Trading - Type Alpha Environment for Neutral and Index - Enhancement Strategies**: Overall, it is not conducive to the accumulation of trading - type Alpha. Although factors such as trading volume, turnover rate, and differentiation degree are beneficial, the mid - cap style and the decrease in the number of stocks that can beat the benchmark index are significantly unfavorable [64][70]. - **Holding - Type Alpha Environment for Neutral and Index - Enhancement Strategies**: The overall environment shows that it is not conducive to the accumulation of holding - type Alpha, but some factors such as the number of limit - up and limit - down stocks, liquidity, and volatility are expected to be beneficial for Alpha accumulation [76][88][91]. - **Neutral Strategy Hedging Environment Monitoring**: The basis volatility slightly decreased, and the cost control pressure increased [104]. 3.3 Future Strategy Judgement - **20 - day Rolling Returns**: As of January 16, 2026, the relative returns of the CSI 1000, CSI 2000, and CSI 500 to the Shanghai - Shenzhen 300 were in extremely high intervals, while the return of the Shanghai - Shenzhen 300 was in a relatively high interval [106]. - **Derivatives Option Sentiment Dimension**: The sentiment of the CSI 1000, Shanghai - Shenzhen 300, and CSI 500 is generally cautious but structurally differentiated, with the sentiment of the Shanghai - Shenzhen 300 being significantly bullish [110]. - **Derivatives Futures Sentiment Dimension**: The sentiment of the CSI 1000, Shanghai - Shenzhen 300, and CSI 500 is generally optimistic, and the basis of IF, IC, and IM converged, indicating that the market sentiment has recovered [113]. - **Risk Preference**: As of January 15, 2026, the margin trading balance was 2.70 trillion yuan, at an extremely high level in the past three years, indicating a high risk preference [116]. - **Style Attention Multiples**: Currently, the CSI 1000 is in a normal interval, the CSI 2000 is in a lower interval, and the CSI 500 is in an extremely high interval [122]. - **Profit Spread**: As of January 16, 2026, the profit spreads of the CSI 1000, CSI 500, CSI 2000, and Shanghai - Shenzhen 300 were in lower, extremely low, extremely low, and extremely low intervals respectively [123]. - **Dividend Spread**: As of January 16, 2026, the dividend spreads of the CSI 1000, CSI 500, CSI 2000, and Shanghai - Shenzhen 300 were all in normal intervals [127]. - **Trading Congestion of Small and Micro - Cap and TMT**: As of January 16, 2026, the trading heat of the TMT sector was in a relatively high interval, the trading heat of small and micro - cap sectors was in a normal interval, and the total market trading volume was in an extremely high interval [130].

Core Viewpoint - The article presents an index map that includes various commonly used stock indices, their codes, selection rules, industry distribution, and average and median market capitalizations of constituent stocks, which will be updated regularly for easy reference [1]. Group 1: Index Categories - The index map includes several categories of stock indices: broad-based indices, strategy indices, industry indices, thematic indices, and overseas indices [3]. Group 2: Industry Indices - The industry indices listed include: - CSI Semiconductor - Biotechnology - Hang Seng Technology - CSI Medical - China Internet 50 - CSI Traditional Chinese Medicine - Hang Seng Healthcare - NASDAQ 100 - Hang Seng Hong Kong Stock Connect Healthcare - S&P 500 - Hang Seng Biotechnology - S&P Technology - Hang Seng Innovative Drugs - US Consumer - Hong Kong Stock Connect Innovative Drugs - Global Healthcare - Real Estate Industry - Infrastructure Industry [4][7]. Group 3: Broad-based Indices - Key broad-based indices include: - CSI 300: Average market cap of ¥216.27 billion, median market cap of ¥112.28 billion, with 300 constituent stocks [6]. - CSI 500: Average market cap of ¥37.79 billion, median market cap of ¥32.58 billion, with 500 constituent stocks [6]. - CSI 800: Average market cap of ¥104.72 billion, median market cap of ¥44.98 billion, with 800 constituent stocks [6]. - CSI 1000: Average market cap of ¥15.93 billion, median market cap of ¥14.04 billion, with 1000 constituent stocks [6]. - CSI 2000: Average market cap of ¥6.48 billion, median market cap of ¥5.69 billion, with 2000 constituent stocks [6]. Group 4: Strategy Indices - Strategy indices include: - CSI Dividend: Average market cap of ¥212.88 billion, median market cap of ¥33.85 billion, with 100 constituent stocks [10]. - Shanghai Dividend: Average market cap of ¥333.78 billion, median market cap of ¥71.59 billion, with 50 constituent stocks [10]. - Shenzhen Dividend: Average market cap of ¥107.51 billion, median market cap of ¥75.75 billion, with 40 constituent stocks [10]. - Dividend Opportunity: Average market cap of ¥163.31 billion, median market cap of ¥21.37 billion, with 100 constituent stocks [10]. Group 5: Thematic Indices - Thematic indices are categorized but not detailed in the provided content [17].

Core Viewpoint - The A-share market is experiencing a significant outflow of funds from broad-based indices, particularly the CSI 300, amid regulatory measures aimed at cooling down overheated sectors and preventing excessive speculation [2][5]. Group 1: Market Overview - A-share market sentiment surged at the beginning of 2026, with margin trading reaching new highs and sectors like commercial aerospace and AI applications attracting substantial investments [2]. - Regulatory authorities raised the minimum margin ratio to 100% and initiated investigations into stocks with abnormal price movements to mitigate risks associated with speculative trading [2][4]. - Following these measures, the market entered a phase of volatility, with the CSI 300 experiencing a net outflow of over 100 billion yuan in a single week [5]. Group 2: Fund Flow Dynamics - In the past week, core broad-based indices, including the CSI 300, STAR 50, and ChiNext, collectively saw a net outflow exceeding 200 billion yuan, with the CSI 300 leading at 103.37 billion yuan [5][6]. - The overall trading volume in the market decreased from nearly 4 trillion yuan to around 3 trillion yuan, indicating a reduction in investors' willingness to chase high prices [4]. Group 3: Investor Behavior - There is a notable divergence in investor behavior, with institutions and large investors reducing their holdings in previously popular sectors like semiconductors and new energy, while retail investors are increasingly investing in short-term themes such as commercial aerospace [3][10]. - Over the past week, institutions sold a total of 1.14 billion yuan, while retail investors net bought 2.48 billion yuan, reflecting a trend where retail investors are absorbing the shares sold by larger players [9][11]. Group 4: Sector Rotation - Institutions are reallocating funds towards undervalued sectors such as Hong Kong internet stocks and new consumption leaders, with the Hong Kong technology index seeing a net inflow of 30.4 billion yuan [10]. - The market is transitioning from speculative-driven investments in AI and commercial aerospace to sectors with stronger earnings visibility and price support, indicating a shift towards cyclical stocks and high-growth areas [12].

- The report primarily focuses on tracking and analyzing the performance of broad-based indices in the A-share market, including metrics such as daily returns, moving averages, turnover rates, risk premiums, PE-TTM, dividend yields, and net asset ratios[1][3][4] - The turnover rate of indices is calculated using the formula: $ \text{Turnover Rate} = \frac{\Sigma(\text{Circulating Shares of Constituent Stocks} \times \text{Turnover Rate of Constituent Stocks})}{\Sigma(\text{Circulating Shares of Constituent Stocks})} $ This metric reflects the liquidity and trading activity of the indices[18] - Risk premium is measured relative to the 10-year government bond yield, serving as a benchmark for risk-free rates. The report highlights the mean-reversion behavior of risk premiums across indices, with notable volatility observed in indices like CSI 1000 and CSI 2000[27][28] - The PE-TTM (Price-to-Earnings Trailing Twelve Months) ratio is used as a valuation metric. The report notes that indices such as CSI 500 and CSI 1000 have high PE-TTM percentile rankings (99.92%), indicating elevated valuations compared to historical levels[42][43] - Dividend yield is analyzed as a measure of cash return to investors. The report observes that indices like the CSI 500 (6.78%) and CSI 2000 (2.64%) have relatively low 5-year historical percentile rankings, while indices like the ChiNext Index (57.36%) and CSI 300 (37.77%) rank higher[51][53][55] - The net asset ratio (or "break net ratio") is tracked to assess the proportion of stocks trading below their book value. The report highlights that indices such as the CSI 500 (11.0%) and CSI 2000 (2.85%) have relatively low break net ratios, suggesting market optimism for these indices[57]

Group 1 - The core viewpoint of the article indicates that the A-share market is expected to perform well due to the resonance of two factors: the restructuring of the international order and China's industrial innovation by 2026 [1] - The market is anticipated to show a pattern of rising initially and then stabilizing, supported by active capital and elevated valuations [1] - The A500 ETF from E Fund (159361) recorded a half-day trading volume of nearly 5 billion yuan [1] Group 2 - The CSI A500 index decreased by 0.03%, while the CSI A100 index increased by 0.01%, and the CSI A50 index rose by 0.4% at the midday close [1] - There is an emphasis on monitoring increased volatility and the rhythm that aligns with the fundamentals in the market [1]

- The report tracks and analyzes the market data of major indices such as CSI 500, CSI 1000, and others, focusing on their daily performance, moving averages, and trading volumes[1][2][3] - The indices' daily performance shows that CSI 500 and CSI 1000 had the highest gains on January 7, 2026, with 0.78% and 0.53% respectively, while SSE 50 and CSI 300 had the largest declines with -0.43% and -0.29% respectively[2][3] - The moving averages comparison indicates that all tracked indices are above their 5 to 60-day moving averages, with some indices like CSI 500 and CSI 1000 breaking their 250-day highs[3][14][15] - The trading volume analysis shows that CSI 300 had the highest trading volume share at 23.55%, followed by CSI 2000 at 21.98% and CSI 1000 at 21.88%[4][18] - The turnover rates for the indices are also provided, with CSI 2000 having the highest turnover rate at 4.7, and SSE 50 having the lowest at 0.31[4][18] - The report includes a detailed analysis of the daily return distribution of the indices, highlighting that the ChiNext Index has the highest negative skewness and kurtosis, while CSI 1000 has the lowest[4][25][27] - The risk premium analysis shows that CSI 500 and CSI 1000 have high 5-year percentile values of 76.19% and 65.0% respectively, while CSI 300 and SSE 50 have lower values of 38.57% and 31.27% respectively[4][29][33] - The PE-TTM analysis indicates that CSI 500 and CSI 1000 have high 5-year percentile values of 99.92%, while CSI 2000 and ChiNext Index have lower values of 90.0% and 62.98% respectively[4][44][45] - The dividend yield analysis shows that ChiNext Index and CSI 300 have high 5-year historical percentile values of 57.77% and 32.23% respectively, while CSI 500 and CSI 2000 have lower values of 9.67% and 5.04% respectively[5][52][54] - The report also tracks the net asset value break rate, indicating that SSE 50 has the highest break rate at 24.0%, while CSI 2000 has the lowest at 3.1%[5][59]

- The report primarily focuses on tracking and analyzing the performance of broad-based indices in the A-share market, including metrics such as daily returns, moving averages, turnover rates, risk premiums, PE-TTM, dividend yields, and price-to-book ratios[1][2][3] - The turnover rate of indices is calculated using the formula: $ \text{Turnover Rate} = \frac{\Sigma(\text{Component Stocks' Free Float Shares} \times \text{Component Stocks' Turnover Rate})}{\Sigma(\text{Component Stocks' Free Float Shares})} $ This metric reflects the liquidity and trading activity of the indices[15] - The risk premium is measured relative to the 10-year government bond yield, serving as a benchmark for assessing the relative investment value and deviation of indices. The report highlights that indices like CSI 500 and SSE 50 exhibit high 5-year percentile values for risk premiums, indicating relatively attractive valuations[25][26][29] - The PE-TTM (Price-to-Earnings Trailing Twelve Months) is used as a valuation metric, with indices such as CSI 500 and CSI All Share showing high 5-year percentile values (99.92%), suggesting elevated valuations compared to historical levels[37][40][42] - Dividend yield is analyzed as a measure of cash return to investors, with indices like the ChiNext Index and CSI 300 showing relatively high 5-year historical percentile values (57.93% and 31.65%, respectively), indicating their attractiveness during periods of market downturns or declining interest rates[46][51][53] - The price-to-book ratio (P/B) is evaluated through the "break net ratio," which measures the proportion of stocks trading below their book value. The report notes that indices such as SSE 50 and CSI 300 have higher break net ratios, reflecting market sentiment and valuation levels[52][55]

Core Viewpoint - The A-share market shows positive momentum with significant increases in major indices, indicating a potential for continued growth in the spring market and an influx of capital at the year's end [1][4]. Group 1: Market Performance - The CSI A500 Index rose by 1.2%, the CSI A100 Index increased by 1.3%, and the CSI A50 Index went up by 0.9% as of the midday close [1]. - The A500 ETF from E Fund (159361) recorded a trading volume of nearly 6 billion yuan and a net subscription of 165 million units in the morning session [1]. Group 2: Fund Performance - According to Wind data, the A500 ETF from E Fund (159361) has a 2025 annualized tracking error of only 0.34 percentage points, with an excess return of 2.86 percentage points relative to the index, ranking first among similar products with over 10 billion yuan in scale [1]. - The A100 ETF from E Fund tracks the CSI A100 Index, which consists of 100 large-cap, liquid stocks, and has a rolling price-to-earnings ratio of 17.6 times [3]. - The A50 ETF from E Fund tracks the CSI A50 Index, composed of the 50 largest stocks by market capitalization, with a rolling price-to-earnings ratio of 18.7 times [3].