Group 1: Core Insights - The report introduces a quantitative model solution for addressing the value-growth style switching issue based on odds and win rates [1][8] - The latest growth style investment expectation is calculated at 0.14, while the value style investment expectation is at -0.04, recommending a shift towards growth style [4][18] Group 2: Odds - The estimated odds for the growth style is 1.11, while for the value style it is 1.08, indicating a negative correlation between relative valuation levels and expected odds [2][14] - The report emphasizes that the relative valuation level of market styles is a key influencing factor for expected odds [2][14] Group 3: Win Rates - Among seven win rate indicators, four point towards growth and three towards value, resulting in a current win rate of 53.87% for growth and 46.13% for value [3][16][17] Group 4: Investment Expectations and Strategy Returns - The annualized return of the style rotation model strategy from 2013 to present is 27.35%, with a Sharpe ratio of 1.01 [4][19] - The total return for the growth style is 544.78%, while for the value style it is 605.02%, indicating a strong performance of both styles [19]

Group 1 - The report highlights that the domestic A-share market has seen a significant improvement in liquidity risk, with a total transaction volume of 1.44 trillion yuan this week, driven by continuous buying from state-owned funds [5] - The report indicates a positive outlook for the military industry, particularly in the context of the marine economy, which is expected to catalyze growth in the sector [5] - The report notes that the semiconductor and domestic consumption sectors present potential investment opportunities due to improved risk appetite and capital inflows [5] Group 2 - The report details that the "Xinxuan ETF Absolute Return Strategy" has achieved an annualized return of 14.23% over the past three years, with a maximum drawdown of only 8.6% [10] - The "All-Weather Multi-Asset Risk Parity Strategy" has yielded a return of 20.85% since the beginning of 2024, with a maximum drawdown of 3.62% [14] - The "China-US Core Asset Portfolio" has delivered an annualized return of 34.05% since early 2015, outperforming various indices [20] Group 3 - The report states that 17 new index funds were filed this week, including 3 ETFs and 5 linked funds, indicating a growing interest in index-based investment products [34] - A total of 20 new public funds were established this week, raising a total of 5.328 billion yuan, with 11 new index funds accounting for 3.226 billion yuan of that total [35] - The report mentions that 6 new funds are set to be listed next week, including the "E Fund National Value 100 ETF" and the "Industrial Bank China Hong Kong Stock Connect Automotive Industry Theme ETF" [38] Group 4 - The report indicates that A-share ETFs experienced a net outflow of 136.4 billion yuan, while bond ETFs saw a net inflow of 122.9 billion yuan [43] - The report highlights that the Hong Kong ETF market has seen a net inflow of 88 billion yuan, reflecting a positive sentiment towards cross-border investments [48] - The report notes that commodity ETFs, particularly gold ETFs, have seen an increase in investment, with a net inflow of 23.18 billion yuan [52]

Group 1 - The market continued to rise last week, with the CSI 300 index increasing by 1.54%, the Shanghai Composite Index by 1.40%, and the CSI 500 index by 0.81% [3] - Incremental capital has driven the A-share market upward, but internal structural differentiation has re-emerged [3] - The economic fundamentals in both China and the US remain weak, with China's PMI data indicating ongoing pressure from the trade war, and US employment data showing volatility that may not accurately reflect the job market [4] Group 2 - The technical signals have been fulfilled, but the lack of fundamental support suggests that the market may return to a state of fluctuation due to the rapid withdrawal of new capital [5] - The market reached 3500 points, aligning with technical predictions, but the sustainability of this rise is in question due to unfavorable internal structural changes [5] - The recommendation for the main board is to maintain a medium position, while the small and medium-sized market segments should also revert to a medium position, indicating a shift towards a balanced style [5]

Quantitative Models and Construction Methods 1. Model Name: High-Growth and Dividend Rotation Timing Model - **Model Construction Idea**: The model aims to identify effective timing signals for rotating between high-growth and dividend strategies based on macroeconomic and market indicators[9]. - **Model Construction Process**: 1. At the end of each month, the model selects effective signals from single-factor tests, including term spread, social financing growth, CPI and PPI quadrants, US Treasury yields, and capital flow indicators (ETF, insurance funds, foreign capital)[9]. 2. Each indicator provides a signal to either buy high-growth or dividend strategies. 3. The average score of these signals is used as the final score for allocation decisions[9]. - **Model Evaluation**: The model demonstrates a "defensive and offensive" characteristic, balancing risk and return by maintaining a 60% defensive dividend base and 40% growth allocation during volatile market conditions[9]. --- Model Backtesting Results 1. High-Growth and Dividend Rotation Timing Model - **Cumulative Return**: 259.92% - **Annualized Return**: 14.91% - **Maximum Drawdown**: 27.08% - **Annualized Volatility**: 23.16% - **Annualized Sharpe Ratio**: 0.64 - **Calmar Ratio**: 0.55[6] --- Quantitative Factors and Construction Methods 1. Factor Name: Term Spread - **Factor Construction Idea**: Reflects fixed-income market investors' expectations of future economic growth. A declining or low term spread is unfavorable for high-growth styles[13]. - **Factor Construction Process**: 1. Calculate the difference between 10-year and 1-year government bond yields. 2. For June 2025, the 1-year yield was 1.34% (down from 1.46% in May), and the 10-year yield was 1.65% (down from 1.67% in May). 3. The term spread for June 2025 was 0.31, up from 0.22 in May[13]. 2. Factor Name: Social Financing Growth - **Factor Construction Idea**: Serves as a leading macroeconomic indicator. Higher corporate financing demand indicates economic recovery expectations, supporting high-growth styles[13]. - **Factor Construction Process**: 1. Use the year-over-year growth rate of the total social financing stock. 2. For May 2025, the growth rate was 8.7%, unchanged from the previous month, continuing its marginal improvement since bottoming out in October 2024[13]. 3. Factor Name: CPI and PPI Quadrants - **Factor Construction Idea**: Timing effectiveness is higher than the CPI-PPI spread. When CPI and PPI rise simultaneously, especially when CPI rises faster, it indicates strong downstream demand and economic growth, favoring high-growth styles[16]. - **Factor Construction Process**: 1. Analyze CPI and PPI year-over-year changes. 2. For May 2025, CPI was -0.1% (unchanged from April), and PPI was -3.3% (down from -2.7% in April), indicating continued deflation and favoring dividend styles[16]. 4. Factor Name: US Treasury Yields - **Factor Construction Idea**: Rising US Treasury yields lead to foreign capital outflows and reduced global risk appetite, negatively impacting high-growth sectors with high valuations[16]. - **Factor Construction Process**: 1. Monitor the 10-year US Treasury yield. 2. As of June 2025, the yield remained at a high level of 4.35%, suppressing growth styles[16]. 5. Factor Name: Capital Flow Indicators - **Factor Construction Idea**: Reflects foreign capital's willingness to flow into the domestic market, influenced by factors like the USD index, RMB offshore exchange rate, and CDS spreads[17]. - **Factor Construction Process**: 1. Construct a composite index using the USD index, RMB offshore exchange rate, and CDS spreads. 2. A stronger USD, weaker RMB, and wider CDS spreads indicate reduced foreign capital inflow willingness[17]. --- Factor Backtesting Results 1. Term Spread - **June 2025 Value**: 0.31 (up from 0.22 in May)[13] 2. Social Financing Growth - **May 2025 Value**: 8.7% (unchanged from April)[13] 3. CPI and PPI Quadrants - **May 2025 CPI**: -0.1% (unchanged from April) - **May 2025 PPI**: -3.3% (down from -2.7% in April)[16] 4. US Treasury Yields - **June 2025 Yield**: 4.35% (remained at a high level)[16] 5. Capital Flow Indicators - **June 2025 Observation**: Foreign capital inflow willingness improved due to reduced ETF dividend net buying and increased foreign capital inflows[9][17]

Group 1: A-shares and Hong Kong Stocks - The A-share market is expected to show a volatile adjustment pattern in July, with short-term momentum effects possibly leading to continued increases, followed by a potential adjustment phase [4][30] - The Hong Kong stock market is anticipated to align with the A-share market's overall rhythm, but the A-share's chip structure is superior, and the Hang Seng AH premium index is reversing from a low position, reducing the attractiveness of Hong Kong stocks [4][30] - In early July, the growth style is expected to outperform, while dividend stocks may experience relative volatility; however, as momentum effects fade and tariff policy uncertainties increase in mid to late July, growth style may face headwinds, allowing dividend style to shine [4][30] Group 2: US Stocks and Gold - The risk trend model indicates that the risk level of US stocks has reached a high point, predicting a volatile trend in July, with the expiration of the tariff suspension period on July 9 likely impacting the market [4][30] - The gold market is assessed to have a moderate risk level, with no significant overvaluation or undervaluation; expectations for interest rate cuts are rising, leading to a gradual strengthening of the market [4][30] - Overall, US stocks and gold are expected to maintain a reverse volatile pattern, awaiting catalysts from geopolitical events, policy changes, and US economic data releases [4][30] Group 3: Government Bonds and US Treasuries - The government bond market is supported by a slow economic recovery, maintaining confidence in policy easing, with liquidity improvement expectations becoming clearer post-quarter [4][30] - The US Treasury market is influenced by external uncertainties that elevate risk aversion, supporting a downward trend in interest rates, although supply pressures and policy fluctuations limit the extent of this decline [4][30] - The overall interest rate trend is expected to show a downward movement, influenced by domestic recovery and flexible policies alongside persistent US inflation and debt supply [4][30] Group 4: Fund Allocation Recommendations - A balanced allocation strategy is recommended, anticipating that the market may exhibit a volatile adjustment trend in the future, suggesting a wait-and-see approach for optimal timing [4][30]

Summary of Key Points from the Conference Call Industry or Company Involved - The report focuses on the A-share market and investment strategies proposed by Industrial Securities, particularly in the context of macroeconomic conditions and sector performance. Core Insights and Arguments - **Market Valuation and Timing**: The improved stock-bond valuation indicator suggests that A-shares have been in a low valuation state since 2022, with potential bottom-fishing opportunities starting in 2024 [1][3] - **Economic Leading Indicators**: The economic leading index constructed by Industrial Securities shows a slight upward trend in comprehensive leading indicators, real economy, and financial environment as of June 30, 2025, indicating a relatively positive outlook [4] - **Stock-Bond Rotation Strategies**: Two types of stock-bond rotation portfolios have been constructed: a flexible allocation portfolio with a historical annualized return of 14% and a conservative fixed-income portfolio with a 7.8% annualized return, both outperforming fixed-weight benchmark portfolios [5] - **Growth vs. Value Rotation Model**: The growth-value rotation model has achieved approximately 25% annualized returns since its inception in late 2013, outperforming the benchmark by 5%. As of June 30, 2025, the model indicates a preference for value stocks [6] - **Market Sentiment and Fund Flows**: As of June 30, 2025, the A-share margin financing balance is at a historical median level, indicating a neutral market sentiment. However, net inflows from major funds are optimistic, with over 90% of the data indicating positive sentiment [10] Additional Important Content - **Sector Recommendations**: Industrial Securities recommends sectors such as telecommunications, defense, construction decoration, steel, and computers, which include both cyclical and growth-oriented industries. The defense sector's weight is doubled based on macroeconomic calendar effects [11][12][14] - **Performance Metrics**: The recommended strategy has an annualized return of approximately 14% as of June 30, 2025, exceeding the benchmark by 15 percentage points, with a volatility of 9.33% and a Sharpe ratio of 1.63 [16] - **Historical Similarity Analysis**: The current macroeconomic environment is compared to historical periods, particularly noting similarities with the second half of 2015, characterized by economic pressure and a loose monetary environment, leading to a cautious outlook for the stock market [9] - **ETF Strategy**: The strategy includes matching ETF holdings based on correlation and return levels, with a performance difference of 2 to 3 percentage points compared to the rotation results [15]

Core Viewpoint - The article discusses the current market trends, emphasizing the performance of different investment strategies and the importance of selecting fundamentally strong companies for long-term investment success [8][28]. Market Overview - The market experienced slight declines today, with minimal volatility, maintaining a rating of 4.9 stars [1]. - Large-cap stocks like the CSI 300 showed little fluctuation, while small-cap stocks faced more significant declines [2]. - Value style investments overall saw an increase, with dividend and value indices performing strongly [3][4]. Investment Strategy Performance - In the first half of the year, both active selection and index enhancement strategies outperformed the broader market indices, with active selection rising by 5% while the CSI 300 remained flat [8]. - Active selection strategies have shown a historical tendency to outperform the market approximately 60% of the time, indicating a cyclical nature of performance [9]. Stock Selection Criteria - The active selection strategy focuses on choosing stocks with strong profitability, measured by Return on Equity (ROE) [12][15]. - Companies are categorized based on their ROE into three indices: loss-making stocks (negative ROE), marginally profitable stocks (positive but below market average), and quality stocks (positive and above market average) [18]. - Historical data indicates that strong profitability leads to better long-term returns, despite occasional surges in loss-making stocks during specific market conditions [19][25]. Market Dynamics - There have been instances of speculative trading in loss-making stocks, notably in 2014-2015 and projected for late 2024, which can lead to short-term underperformance for quality-focused strategies [19][21]. - Such speculative trends are typically short-lived, reinforcing the notion that long-term stock performance is driven by underlying company profitability [22][24]. Long-term Investment Philosophy - The company advocates for a long-term investment approach, prioritizing companies with solid earnings over engaging in short-term speculative trading [28]. - A quote from Graham highlights the distinction between short-term market fluctuations and long-term value realization, emphasizing the importance of company fundamentals [30][31]. New Features and Tools - A new feature in the "Today Stars" app allows users to access core data and real-time valuations of mainstream ETFs, aiding in identifying undervalued investment opportunities [32][34].

Group 1 - The A-share market experienced a positive start on the first trading day of the second half of the year, with overall slight gains and a closing rating of 4.9 stars [1][2] - Both large, medium, and small-cap stocks saw similar increases, indicating a strong value style in the market. There was a rotation in styles, with value stocks recovering after a recent decline, particularly in the banking sector, while growth stocks experienced slight declines [3] - The healthcare sector showed consistent strength, with several trading days of continuous gains [3][4] Group 2 - Various investment strategies have demonstrated stable performance throughout the year, with active selection and index enhancement strategies achieving excess stability [5][6] - The report includes a review of the performance of several strategies as the first half of the year concludes [7] Group 3 - The Hong Kong stock market will be closed for trading on July 1, with some funds containing Hong Kong stocks also pausing trading [8][9] - Normal trading in the Hong Kong stock market will resume after the holiday [10] Group 4 - The article discusses a systematic investment plan for personal pensions, detailing specific investment amounts for various index-enhanced and actively selected portfolios [11][20] - The investment strategy employs a "periodic but irregular" approach, suggesting that lower valuations should attract higher investment amounts [15] Group 5 - A valuation table for various broad-based indices is provided, including metrics such as price-to-earnings ratio, price-to-book ratio, dividend yield, and return on equity [26] - The valuation data indicates a range of performance metrics across different indices, highlighting the investment characteristics of each [26]

Group 1: Report Investment Rating - The operation rating for CITIC Five-Style - Growth is ★☆☆ [3][4] Group 2: Core Viewpoints - In the public fund market, the enhanced index strategy led the gains in the past week, while the ordinary stock strategy index in the equity strategy was relatively weak. The net value of non-ferrous metal ETFs rebounded, and the performance of precious metal ETFs was divergent. The style timing signal currently favors the growth style, and the style timing strategy had an excess return compared to the benchmark [4] Group 3: Summary by Related Catalogs Fund Market Review - As of the week ending on June 27, 2025, the weekly returns of Tonglian All A (Shanghai, Shenzhen, Beijing), ChinaBond Composite Bond Index, and Nanhua Commodity Index were 3.35%, -0.10%, and -2.00% respectively [4] - In the public fund market, the enhanced index strategy had a weekly return of 3.18%. Among equity strategies, the ordinary stock strategy index was relatively weak, and neutral strategy products had more losses than gains. In the bond market, medium - and long - term pure bonds had a small pullback, and convertible bonds outperformed pure bonds. In the commodity market, the returns of energy - chemical and soybean meal ETFs pulled back, the net value of non - ferrous metal ETFs rebounded, and the performance of precious metal ETFs was divergent, with silver ETFs rising slightly and gold ETFs continuing to weaken [4] Equity Market Style - In the CITIC Five - Style, all style indices closed up last Friday, with the growth and financial styles leading. In terms of relative strength, consumption and stability were at a relatively low level, and in terms of indicator momentum, all five styles strengthened compared to the previous week, with consumption and stability having a large increase [4] - In the public fund pool, the average returns of cycle and consumption style funds outperformed the index in the past week, with excess returns of 0.60% and 0.06% respectively. Some growth - style funds shifted towards cycle and consumption styles [4] - In terms of crowding, consumption fell from a high - crowding range to a neutral range, the cycle style increased significantly, and the growth style was in a historically low - crowding range [4] Barra Factors - In the past week, the growth, liquidity, and momentum factors had better returns, the excess return of the profitability factor was compressed, the return of the volatility factor continued to decline, the dividend factor continued to weaken in terms of winning rate, and the momentum and residual volatility factors rebounded [4] - The cross - sectional rotation speed of factors decreased compared to the previous week and was currently in a historically low - quantile range [4] Style Timing - According to the latest scoring results of the style timing model, the financial style weakened slightly this week, while consumption and growth recovered, and the current signal favored the growth style [4] - The return of the style timing strategy last week was 3.41%, with an excess return of 0.63% compared to the benchmark balanced allocation [4]

- Model Name: Short-term Quantitative Timing Model; Model Construction Idea: The model is based on market sentiment indicators, valuation, macro liquidity, and macro fundamentals to generate timing signals; Model Construction Process: The model uses various indicators such as manufacturing PMI, long-term loan balance growth rate, M1 growth rate, PE and PB valuation percentiles, Beta dispersion, volume sentiment score, volatility, monetary rate, exchange rate expectation, and net financing amount to generate signals. For example, the formula for the volume sentiment score is: $$ \text{Volume Sentiment Score} = \frac{\text{Current Volume} - \text{Mean Volume}}{\text{Standard Deviation of Volume}} $$ where the current volume is the trading volume of the current period, the mean volume is the average trading volume over a specified period, and the standard deviation of volume is the standard deviation of trading volumes over the same period. The model evaluates these indicators to determine the overall market sentiment and generates a timing signal accordingly[9][14][15]; Model Evaluation: The model is highly sensitive to market sentiment indicators, which can lead to frequent signal changes[9] - Model Name: Growth-Value Style Rotation Model; Model Construction Idea: The model uses economic cycle analysis to determine the allocation between growth and value styles; Model Construction Process: The model evaluates the slope of the profit cycle, the level of the interest rate cycle, and the changes in the credit cycle. For example, the formula for the profit cycle slope is: $$ \text{Profit Cycle Slope} = \frac{\text{Current Profit} - \text{Previous Profit}}{\text{Previous Profit}} $$ where the current profit is the profit of the current period, and the previous profit is the profit of the previous period. The model also considers PE and PB valuation differences and turnover and volatility differences between growth and value styles to generate allocation signals[25][26]; Model Evaluation: The model provides significant improvement over the benchmark in terms of annualized returns and Sharpe ratio[25][26] - Model Name: Small-Cap vs. Large-Cap Style Rotation Model; Model Construction Idea: The model uses economic cycle analysis to determine the allocation between small-cap and large-cap styles; Model Construction Process: The model evaluates the slope of the profit cycle, the level of the interest rate cycle, and the changes in the credit cycle. For example, the formula for the interest rate cycle level is: $$ \text{Interest Rate Cycle Level} = \frac{\text{Current Interest Rate} - \text{Mean Interest Rate}}{\text{Standard Deviation of Interest Rate}} $$ where the current interest rate is the interest rate of the current period, the mean interest rate is the average interest rate over a specified period, and the standard deviation of interest rate is the standard deviation of interest rates over the same period. The model also considers PE and PB valuation differences and turnover and volatility differences between small-cap and large-cap styles to generate allocation signals[30][31][32]; Model Evaluation: The model provides significant improvement over the benchmark in terms of annualized returns and Sharpe ratio[30][31][32] - Model Name: Four-Style Rotation Model; Model Construction Idea: The model combines the conclusions of the growth-value and small-cap vs. large-cap rotation models to determine the allocation among four styles: small-cap growth, small-cap value, large-cap growth, and large-cap value; Model Construction Process: The model uses the signals generated by the growth-value and small-cap vs. large-cap rotation models to allocate the portfolio among the four styles. For example, if the growth-value model suggests overweighting value and the small-cap vs. large-cap model suggests overweighting large-cap, the allocation would be adjusted accordingly[33][34]; Model Evaluation: The model provides significant improvement over the benchmark in terms of annualized returns and Sharpe ratio[33][34] Model Backtest Results - Short-term Quantitative Timing Model: Annualized Return 16.24%, Annualized Volatility 14.70%, Maximum Drawdown 27.70%, Sharpe Ratio 0.9613, IR 0.5862, Monthly Win Rate 68.21%, Quarterly Win Rate 68.63%, Annual Win Rate 85.71%[16][19][22] - Growth-Value Style Rotation Model: Annualized Return 11.51%, Annualized Volatility 20.85%, Maximum Drawdown 43.07%, Sharpe Ratio 0.5316, IR 0.2672, Monthly Win Rate 58.00%, Quarterly Win Rate 60.00%, Annual Win Rate 85.71%[27][29] - Small-Cap vs. Large-Cap Style Rotation Model: Annualized Return 11.92%, Annualized Volatility 22.75%, Maximum Drawdown 50.65%, Sharpe Ratio 0.5283, IR 0.2386, Monthly Win Rate 60.67%, Quarterly Win Rate 56.00%, Annual Win Rate 85.71%[32] - Four-Style Rotation Model: Annualized Return 13.03%, Annualized Volatility 21.60%, Maximum Drawdown 47.91%, Sharpe Ratio 0.5834, IR 0.2719, Monthly Win Rate 59.33%, Quarterly Win Rate 62.00%, Annual Win Rate 85.71%[34][35]