Group 1 - The Hong Kong non-bank ETF (513750) has seen significant investor interest, with its latest scale surpassing 5 billion yuan, marking a historical high [1] - The ETF has recorded a net inflow of 715 million yuan over the past five trading days, with a single-day peak net inflow of 384 million yuan, indicating strong demand for the non-bank financial sector in Hong Kong [1] - The ETF tracks the CSI Hong Kong Stock Connect Non-Bank Financial Theme Index, which focuses on leading non-bank financial companies in Hong Kong, with a high weight of 63.1% in the insurance sector [1] Group 2 - The Hong Kong non-bank ETF (513750) is the first and only ETF tracking the CSI Hong Kong Stock Connect Non-Bank Financial Theme Index, benefiting from its rarity and strong return capabilities [2] - As of July 8, the ETF has achieved a one-year net value growth rate of 74.3%, ranking in the top 2 among 2402 passive index funds [2] - Major brokerage firms, such as China Merchants Securities, express optimism about the current allocation value of the Hong Kong non-bank sector, highlighting the positive impact of related policies on insurance companies and securities firms [2]

Investment Rating - The report does not explicitly state an investment rating for the non-bank financial industry. Core Insights - The comprehensive financial policy introduced on May 7 aims to address internal demand weakness and external economic fragmentation, while also learning from historical policy timing choices [4][10][12]. - The establishment of a quasi "stabilization fund" mechanism, along with central bank re-lending and insurance capital expansion, is expected to solidify market stability and transition from emergency interventions to a normalized mechanism [5][30]. - New regulations on major asset restructuring open up significant opportunities in the M&A market, introducing flexible payment mechanisms and simplified review processes [6][40][41]. - The public fund industry is encouraged to return to its core focus on investment returns, with new guidelines emphasizing long-term performance and fee structures linked to fund performance [7][67][72]. Summary by Sections 1. Overview: Background and Analysis of the Financial Policy Package - The timing of the financial policy package is influenced by internal factors such as weak domestic demand and risk prevention, as well as external shocks like trade barriers [10][12][13]. - The policy aims to create a coordinated approach among fiscal, monetary, and regulatory measures to avoid the pitfalls of previous economic downturns [13][14]. 2. Significance of the Quasi "Stabilization Fund" - The quasi "stabilization fund" is designed to provide a consistent market stabilization mechanism, moving away from ad-hoc interventions [30][31]. - International examples demonstrate the effectiveness of stabilization funds in mitigating market panic and stabilizing financial systems during crises [31][36]. 3. New Regulations on Major Asset Restructuring: Opening Up M&A Opportunities - The new regulations introduce four key innovations, including a phased payment mechanism and a simplified review process, which enhance transaction flexibility and efficiency [6][40][41]. - The adjustments in regulatory requirements for asset purchases aim to increase tolerance for mergers and acquisitions, particularly benefiting high-potential sectors [47][48]. 4. High-Quality Development Opinions for Public Funds: Returning to Core Principles - The public fund industry is urged to focus on investment returns, with reforms aimed at aligning interests between investors and fund managers [67][72]. - The introduction of a floating fee structure linked to performance is expected to enhance long-term investment strategies and accountability [88][90]. 5. Expanding Equity Investment: Financial Services for New Productive Forces - Continued encouragement for insurance capital to enter the market could lead to an influx of approximately 700 billion in equity investment [8][95]. - The expansion of AIC pilot programs reflects a policy direction aimed at enhancing banking services for technological innovation [8].

Core Viewpoint - The non-bank financial sector in Hong Kong is experiencing mixed performance, with the non-bank financial ETF showing significant growth over the past year and recent inflows indicating strong investor interest [1][2]. Group 1: ETF Performance - As of July 3, 2025, the non-bank financial ETF has seen a net value increase of 66.53% over the past year, ranking 54 out of 2897 index stock funds, placing it in the top 1.86% [2]. - The ETF has recorded a maximum single-month return of 31.47% since its inception, with the longest consecutive monthly gains being four months and a total increase of 38.25% during that period [2]. - The ETF's average monthly return during up months is 7.04%, with a historical one-year holding profit probability of 100% [2]. Group 2: Market Dynamics - The non-bank financial theme index includes up to 50 listed companies selected from the Hong Kong Stock Connect, reflecting the overall performance of non-bank financial companies within this scope [2][4]. - The top ten weighted stocks in the index account for 77.92% of its total weight, with major contributors being China Ping An, AIA, and Hong Kong Exchanges and Clearing, each exceeding 14% [3]. - Recent market trends indicate a recovery in risk appetite, with the non-bank financial sector showing better performance compared to other high-dividend sectors [3]. Group 3: Investment Recommendations - Analysts recommend focusing on insurance stocks with stable fundamentals and beta elasticity, highlighting the ongoing strong demand for household savings and the potential for steady performance in 2025 [4]. - The securities sector is advised to be monitored for firms with balanced business structures and resilience, benefiting from ongoing capital market reforms [4]. - The non-bank financial ETF is noted as the first and only ETF tracking the non-bank index, providing unique investment opportunities without QDII quota restrictions [4].

Group 1 - The core point of the announcement is that Guangdong Guanhao High-tech Co., Ltd. plans to renew its financial service agreement with Chengtong Financial Co., Ltd., which is considered an affiliated transaction and requires approval from the shareholders' meeting [8][11][25] - The ninth supervisory board meeting was held on July 1, 2025, where the renewal of the financial service agreement was approved with a unanimous vote [2][24] - The financial service agreement includes services such as deposits, settlements, and credit, aimed at optimizing financial management and reducing financing costs [8][10][23] Group 2 - Chengtong Financial Co., Ltd. is a non-bank financial institution approved by the China Banking Regulatory Commission, with total assets of 33.448 billion RMB and net profit of 1.79 billion RMB for the year 2024 [12][14] - The agreement is set to last for three years and is designed to enhance the efficiency of fund utilization within the company [10][21] - The transaction does not constitute a major asset restructuring and has been reviewed and approved by independent directors and the board of directors [11][23] Group 3 - The shareholders' meeting is scheduled for July 17, 2025, to vote on the renewal of the financial service agreement [27][28] - The voting will be conducted through both on-site and online methods, ensuring participation from shareholders [29][30] - The company has implemented a reminder service for shareholders to facilitate their participation in the meeting [31]

Core Viewpoint - The company intends to renew the Financial Service Agreement with Chengtong Finance Co., Ltd. for another three years, which includes deposit, settlement, credit, and other financial services [1][2][7] Summary by Sections Transaction Overview - The renewal of the Financial Service Agreement is based on principles of equality, voluntariness, and good faith, with no significant risks involved [1][2] - The transaction is classified as a related party transaction and has been approved by the independent directors and the board of directors, pending approval from the shareholders' meeting [1][2] Related Party Information - Chengtong Finance Co., Ltd. is controlled by China Chengtong Holdings Group, with the company holding a 10% stake in Chengtong Finance [2][3] - As of December 31, 2024, Chengtong Finance has total assets of 33.448 billion yuan, total equity of 6.747 billion yuan, and a net profit of 1.79 billion yuan for the year [3] Financial Service Agreement Details - Chengtong Finance will provide services including deposits, settlements, credit services, and other approved financial services [4][6] - The total credit limit for loans and interest is capped at 2 billion yuan, subject to adjustment based on the company's operational needs [4] - The pricing for services will align with the prevailing rates set by the People's Bank of China and major commercial banks [4] Purpose and Impact of Related Transactions - The agreement aims to enhance the company's capital utilization and improve funding efficiency, while also broadening financing channels and reducing costs and risks [7] - The transaction is not expected to harm the interests of the company or minority shareholders [7] Approval Process - The agreement has been reviewed and approved by the independent directors and will be submitted for approval at the shareholders' meeting, where related shareholders will abstain from voting [7]

- 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]

1. Report Industry Investment Rating - Not provided in the content 2. Core Viewpoints of the Report - This week, the A-share market rebounded strongly, with the Shanghai Composite Index breaking through the year's high. The average daily trading volume increased by 22.36% week-on-week. The market risk appetite increased due to the easing geopolitical situation and the introduction of domestic growth-stabilizing policies [1][10]. - The financial technology sector led the rise this week, with both financial and growth styles performing well. The growth style index rose 5.21% this week, and its trading volume accounted for 54.20% of the total, reaching a four-week high [14]. - Looking ahead, the market is expected to maintain a steady upward trend. In July, the market is expected to see an orderly rotation of hot sectors. However, investors should remain cautious before the uncertainties of Sino-US tariff negotiations and the Fed's interest rate decision are eliminated [15]. 3. Summary According to the Directory 3.1 This Week's Market Review 3.1.1 Industry Index - The comprehensive finance, computer, comprehensive, national defense and military industry, and non-bank finance sectors led the gains this week. The trading volume of non-bank finance and bank sectors increased significantly compared to last week, while the trading activity of media, petroleum and petrochemical, medicine, food and beverage, and agriculture, forestry, animal husbandry, and fishery sectors decreased significantly [10]. - COMEX gold fell 2.94%, and the Chinese bond market maintained a narrow range of fluctuations. The basis of stock index futures contracts increased overall, and the net value of stock hedging strategies continued to decline. The average and median returns of neutral hedging funds this week were -0.10% and -0.03% respectively [1][10]. 3.1.2 Market Style - The financial technology sector led the rise this week, driving the market index higher. The growth style index rose 5.21% this week, and its trading volume accounted for 54.20% of the total, reaching a four-week high. The consumer style index rose 1.46%, and its trading volume accounted for 10.93% of the total, reaching a four-week low [14]. - The financial style index rose 3.41%, and its trading volume accounted for 10.07% of the total, reaching a four-week high. The stable style index rose only 0.78%, and its trading volume accounted for 3.45% of the total, reaching a four-week low [14]. - The cyclical style index rose 3.02%, and its trading volume accounted for 21.35% of the total, reaching a four-week low. The CSI 2000 index rose 5.55% this week, but its trading volume accounted for 28.89% of the total, reaching a four-week low [14]. 3.2 Active Equity Funds 3.2.1 Funds with Excellent Performance in Different Theme Tracks This Week - In the single-track fund category, the top five funds in terms of performance this week were Dongcai Value Qihang A, Taixin Development Theme, Chang'an Yusheng A, Huashang Upstream Industry A, and Huitianfu Consumption Upgrade A [20]. - In the double-track fund category, the top five funds in terms of performance this week were China Merchants Securities Technology Theme 6-Month Holding A, Yin Hua Multi-Power, Yongying High-End Equipment Smart Selection A, Huashang Computer Industry Quantitative A, and Hongtu Innovation Selection LOF [20]. 3.2.2 Funds with Excellent Performance in Different Strategy Categories - In the deep undervaluation strategy, the top three funds were Orient Internet Jia, Qianhai Kaiyuan Event-Driven A, and GF Shanghai-Hong Kong-Shenzhen Value Growth A [2][22]. - In the high-growth strategy, the top three funds were China Europe Prosperity Outlook One-Year Holding A, Yuanxin Yongfeng High-End Manufacturing, and Huafu Guotai Min'an A [2][22]. - In the high-quality strategy, the top three funds were Furong Fujin A, Great Wall Jiuxin A, and E Fund New Normal [2][22]. - In the quality undervaluation strategy, the top three funds were Tongtai Financial Selection A, Qianhai Kaiyuan Shengxin A, and Wells Fargo Financial Real Estate Industry A [2][22]. - In the quality growth strategy, the top three funds were AVIC New Takeoff A, SDIC UBS New Energy A, and E Fund National Defense and Military Industry A [2][22]. - In the GARP strategy, the top three funds were Guoshou Anbao Target Strategy A, Guotai Dazhizao Two-Year Holding, and China AMC Panyi One-Year Fixed Open [2][22]. - In the balanced cost-performance strategy, the top three funds were Hongtu Innovation Selection LOF, Chang Sheng State-Owned Enterprise Reform Theme, and Taixin Development Theme [2][22]. 3.3 Index Enhanced Funds 3.3.1 This Week's Excess Return Distribution of Index Enhanced Funds - The average and median excess returns of CSI 300 index enhanced funds were 0.06% and 0.10% respectively [25]. - The average and median excess returns of CSI 500 index enhanced funds were -0.35% and -0.37% respectively [25]. - The average and median excess returns of CSI 1000 index enhanced funds were -0.20% and -0.22% respectively [25]. - The average and median excess returns of CSI 2000 index enhanced funds were -0.04% and -0.06% respectively [25]. - The average and median excess returns of CSI A500 index enhanced funds were 0.11% and 0.13% respectively [25]. - The average and median excess returns of ChiNext index enhanced funds were -0.20% and -0.17% respectively [25]. - The average and median excess returns of STAR Market and ChiNext 50 index enhanced funds were -0.11% and -0.14% respectively [26]. 3.4 This Issue's Bond Fund Selections - The report screened out the medium- and long-term bond fund pool and the short-term bond fund pool based on indicators such as fund size, performance risk indicators, the latest fund size, Wind Fund secondary classification, three-year rolling returns, and three-year maximum drawdowns [42]. 3.5 This Week's High-Frequency Fund Position Detection - Active equity funds significantly increased their positions in the petroleum and petrochemical (0.18%), coal (0.09%), and comprehensive (0.08%) industries this week; they significantly reduced their positions in the machinery (0.19%), automobile (0.13%), and commercial and retail (0.08%) industries [3]. - From a one-month perspective, the position of the pharmaceutical industry increased significantly by 0.71%, while the positions of the machinery and automobile industries decreased significantly by 0.64% and 0.65% respectively [3]. 3.6 This Week's Weekly Tracking of US Dollar Bond Funds - Not provided in the content

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - Market sentiment continues to warm up, with risk assets showing a preference. The domestic economy remains stable, presenting mainly structural opportunities for domestic assets, and the policy - driven logic will be strengthened in the second half of the year. Overseas geopolitical risks may increase short - term market volatility, while the weak US dollar pattern will continue in the long run. Attention should be paid to non - US dollar assets and strategic allocation to resources such as gold [6]. - The overseas stagflation trading cools down, and the ideas of long - short allocation diverge. In the financial sector, the bullish sentiment for stocks and bonds has declined. For precious metals, risk appetite has recovered, leading to a short - term adjustment. Shipping sentiment has declined, and the duration of the increase in the loading rate in June should be monitored. In the black building materials sector, the performance of furnace materials is better than that of finished products. The low inventory reality and weak demand expectations in the non - ferrous and new materials sector lead to continued oscillations. In the energy and chemical sector, crude oil remains stable, and the positive basis of chemicals provides some support. In the agricultural sector, the substantial progress of Sino - US negotiations is beneficial for the market [7][9]. 3. Summary by Directory 3.1 Macro Highlights - **Overseas Macro**: US consumer sentiment has improved, and the economic fundamentals are recovering. However, due to tariff policies, consumers remain cautious about the future. This week, the long - term inflation expectation has stabilized, the short - term inflation expectation has risen, and the market's expectation of the Fed's interest rate cut has increased [6]. - **Domestic Macro**: The domestic fundamentals have changed little this week, with both internal and external demand showing some resilience. The real estate market is in the off - season, and the infrastructure physical workload has decreased seasonally. At the local level, the issuance of special bonds has increased at the end of the month, and the remaining trade - in funds from the central government will be issued in July to support consumption [6]. - **Asset Views**: Domestic assets present mainly structural opportunities, and overseas geopolitical risks may cause short - term market fluctuations. In the long run, the weak US dollar pattern will continue, and attention should be paid to non - US dollar assets and strategic allocation to resources such as gold [6]. 3.2 Viewpoint Highlights 3.2.1 Macro - Domestic: Moderate reserve requirement ratio cuts and interest rate cuts, and the implementation of established fiscal policies in the short term. - Overseas: The inflation expectation structure flattens, the economic growth expectation improves, and the stagflation trading cools down [7]. 3.2.2 Finance - Stock index futures: Funds are releasing congestion, with a short - term judgment of oscillation. - Stock index options: Sellers need to wait for the inflection point of the decline in volatility, with a short - term judgment of oscillation. - Treasury bond futures: The bullish sentiment in the bond market has declined, with a short - term judgment of oscillation [7]. 3.2.3 Precious Metals - Gold and silver: With the recovery of risk appetite, precious metals are in a short - term adjustment, with a short - term judgment of oscillation [7]. 3.2.4 Shipping - Container shipping to Europe: Focus on the game between peak - season expectations and price - increase implementation, with a short - term judgment of oscillation [7]. 3.2.5 Black Building Materials - Coke: Pessimistic sentiment fades, and the price remains stable, with a short - term judgment of oscillation. - Coking coal: Transaction conditions improve, but confidence is still insufficient, with a short - term judgment of oscillation. - Other varieties: Most varieties are in a state of oscillation, while soda ash is expected to oscillate downward [7]. 3.2.6 Non - ferrous and New Materials - Most non - ferrous metals are in a state of oscillation, while zinc is recommended to look for short - selling opportunities, and nickel and stainless steel are expected to oscillate downward [7]. 3.2.7 Energy and Chemicals - Crude oil: The rebound is limited, with a short - term judgment of oscillation and decline. - LPG: Weak oscillation due to geopolitical easing. - Other varieties: Different varieties have different short - term judgments, such as oscillation, oscillation and rise, or oscillation and decline [9]. 3.2.8 Agriculture - Most agricultural products are in a state of oscillation, with different influencing factors and short - term trends [9].

Market Overview - The A-share market experienced a strong rally this week, with the North Securities 50 index leading the major broad-based indices with a weekly increase of 6.84% [3] - Major indices saw comprehensive gains, with the Shanghai Composite Index rising by 1.91%, the CSI 300 by 1.95%, and the ChiNext Index by 5.69% [4] Trading Sentiment - The market's strong rise was accompanied by a steady increase in trading volume, indicating improved liquidity [3] - The volume timing indicator for the North Securities 50 remains cautious, while other major indices have shifted to a bullish signal [3] Fund Flow - ETF funds showed signs of profit-taking, with an overall net outflow from equity ETFs, particularly in the Sci-Tech Innovation Board and small-cap stocks [3] - Southbound capital saw a net inflow of 28.381 billion HKD, with the Shanghai Stock Connect contributing 13.489 billion HKD and the Shenzhen Stock Connect 14.892 billion HKD [10] Valuation Metrics - As of June 27, 2025, broad-based indices such as the Shanghai Composite, CSI 300, CSI 500, and CSI 1000 are at "moderate" valuation percentiles, while the ChiNext Index is at a "safe" valuation percentile [5] - In terms of sector valuation, industries like electricity and public utilities, home appliances, food and beverage, agriculture, non-bank financials, and transportation are classified as "safe" [6] Volatility Analysis - The cross-sectional volatility of the CSI 300 and CSI 500 index constituents increased week-on-week, indicating an improved short-term Alpha environment [7] - Conversely, the cross-sectional volatility of the CSI 1000 index constituents decreased, suggesting a weakening short-term Alpha environment [7] Institutional Focus - The top five stocks attracting the most institutional attention this week were Huichuan Technology (151 institutions), Weigao Medical (144), Jingbeifang (79), AVIC Chengfei (66), and Cangge Mining (64) [9]

- 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]