Investment Rating - The report maintains an "Overweight" rating for the industry [1] Core Insights - ByteDance has established a new compliance operation structure for TikTok in the U.S., retaining core commercial operation rights. A new joint venture named "U.S. Data Security Joint LLC" will be formed with Oracle, Silver Lake, and MGX, responsible for data protection, algorithm security, content review, and software assurance for U.S. users. The joint venture will have a shareholding structure where new investors hold 45%, existing investors and affiliates hold 30.1%, and ByteDance retains 19.9% [3][7] - Tencent has restructured its large model research system, introducing former OpenAI researcher Yao Shunyu as Chief AI Scientist. The new structure includes AI Infra, AI Data, and Data Computing Platform departments to enhance research efficiency and strategic focus [3][8] - Micron Technology's Q1 performance exceeded expectations, indicating a strong recovery in the memory chip industry. The company forecasts next quarter revenue of $18.7 billion, significantly above the market expectation of $14.5 billion, driven by rising DRAM and NAND prices and structural demand from AI [3][9] Summary by Sections Industry Overview - The report highlights the establishment of TikTok's compliance structure in the U.S. and the formation of a joint venture to manage data security and algorithm usage [3][7] - Tencent's restructuring aims to enhance its AI capabilities and research efficiency, with a focus on large model training and data integration [3][8] - Micron's strong financial performance signals a robust recovery in the memory chip sector, with significant revenue growth projections [3][9] Investment Recommendations - The report recommends maintaining an overweight rating in the industry, particularly in AI computing, cloud vendors, AI applications, and AI social networking sectors [3][23]

Investment Rating - The report maintains an "Overweight" rating for the insurance industry [1][2]. Core Insights - The "Insurance Company Asset-Liability Management Measures (Draft for Comments)" aims to comprehensively standardize the asset-liability management system of insurance companies, reinforcing the primary responsibility of companies and clarifying regulatory indicators to guide long-term stable operations [2][3]. - The introduction of the new measures is expected to enhance the asset-liability management framework, particularly under the backdrop of interest rate fluctuations and accounting standard reforms, benefiting leading insurance companies that align with stricter regulatory requirements [4]. Summary by Sections Regulatory Framework - The draft requires insurance companies to establish a governance structure for asset-liability management, with the board of directors ultimately responsible and senior management directly leading the efforts [4][5]. - It specifies the need for a professional department dedicated to asset-liability management, ensuring independence from business and investment management departments [4][7]. Management Policies and Procedures - The measures outline requirements for asset and liability analysis, product pricing management, asset allocation policies, and stress testing [4][5]. - Regulatory indicators include minimum standards for liquidity coverage ratios and effective duration gaps, with specific metrics for property and life insurance companies [9][10]. Monitoring and Risk Management - Monitoring indicators are established to identify and warn against asset-liability mismatch risks, enhancing risk management capabilities [4][9]. - The report emphasizes the importance of aligning asset-liability management with long-term operational goals, with a focus on achieving cost-revenue matching and liquidity matching [4][10]. Investment Recommendations - The report suggests that the new measures will guide the industry towards long-term stable operations and optimize asset-liability matching, maintaining an "Overweight" stance on the industry [4][12]. - Recommended companies include China Ping An, China Pacific Insurance, New China Life, and China Life Insurance [4][12].

Core Insights - The report indicates a decline in trading activity during the week of December 15-19, 2025, with the CSI 300 index leading the gains among broad indices [1] - Valuations showed mixed results, with the CSI 300 index leading in both PE and PB metrics [1] - The report highlights that the agricultural sector led in PE valuation, while the transportation sector led in PB valuation [1] Valuation Summary - Broad indices experienced mixed valuation changes, with the CSI 300 index increasing by 0.6% in PE-TTM historical percentile and 4.1% in PB-LF historical percentile [4] - Among style indices, financial style led with a 2.9% increase in PE-TTM historical percentile [4] - The agricultural sector saw a 1.2% increase in PE-TTM historical percentile, while the transportation sector led with a 5.4% increase in PB-LF historical percentile [4][5] Sentiment Analysis - Trading activity decreased, with turnover rates and transaction volumes declining across all indices [4] - The turnover rate for the Wind All A index fell by 6.0%, while the transaction volume decreased by 9.9% [4][29] - As of December 18, 2025, the margin trading balance was 2.50 trillion, reflecting a slight decrease of 0.08% compared to the previous week [4][31] ERP Analysis - The report notes that the risk premium (ERP) for the Wind All A index remained stable at 4.26% as of December 19, 2025 [4][7]

Investment Rating - The report maintains an "Overweight" rating for the computer sector, recommending stocks such as Han's Information, Rilian Technology, Kingsoft Office, Hehe Information, Hikvision, Newland, Daotong Technology, and Haiguang Information, with Zhongke Shuguang as a related stock [3][4]. Core Insights - The domestic AI large model industry is experiencing a critical phase of accelerated technological productization and deepening capital market engagement. Volcano Engine released the Doubao large model 1.8 and the video generation model Seedance 1.5 Pro, achieving significant technological breakthroughs and reducing enterprise usage costs through innovative business models [3][4]. - The Ministry of Industry and Information Technology has issued the first L3 level autonomous driving vehicle permits, marking a transition to "conditional commercial application" for autonomous driving in China. This includes specific models from Changan and BAIC Arcfox, with speed limits set for initial operations [3][4]. - Domestic GPU companies are actively pursuing capital market opportunities, with TianShu ZhiXin and BiRan Technology having passed listing hearings, aiming to raise funds for advanced chip development and market expansion. The successful listings of MoEr Thread and MuXi shares on the STAR Market have demonstrated strong market interest in domestic high-end chip sectors [3][4]. Summary by Sections AI Large Model Development - Volcano Engine's Doubao large model 1.8 and Seedance 1.5 Pro have entered the global first tier in multi-modal and intelligent capabilities, with daily token processing exceeding 50 trillion [3][4]. - The listings of Zhizhu AI and MiniMax on the Hong Kong Stock Exchange are expected to provide quantifiable secondary market valuation benchmarks for the large model industry [3][4]. Autonomous Driving - The issuance of L3 level permits signifies a cautious regulatory approach prioritizing safety, with vehicles' operational responsibilities assigned to manufacturers rather than drivers [3][4]. - Initial sales of these vehicles will be limited to designated operators, providing essential practical data for refining technical standards and legal frameworks [3][4]. GPU Market Dynamics - Domestic GPU firms are intensifying their efforts to enter the capital market, with TianShu ZhiXin planning to raise $300 to $400 million and BiRan Technology also pursuing a listing [3][4]. - The successful market entries of MoEr Thread and MuXi have highlighted the strong investor interest in the domestic semiconductor industry, particularly in high-end chip design [3][4].

Group 1: Report Industry Investment Rating No relevant content provided. Group 2: Core View of the Report - The report suggests an equal - style asset allocation, with emphasis on technology, non - banking, and consumer sectors. It believes that the "transformation bull market" in China will regain momentum, and the cross - year offensive has begun. For the bond market, the weak and volatile pattern may continue until after the cross - year period. In the long run of low - level long - term capital interest rates, there is no trend investment opportunity in money market funds. From the perspective of long - term investment and hedging, gold ETFs can be appropriately allocated [3][4][15]. Group 3: Summary by Related Catalogs 1. Last Week's Market Review - A - shares: A - shares showed a pattern of first decline and then rise. The large - consumer and non - banking sectors performed well. The release of relevant policies catalyzed the strength of the large - consumer and non - banking sectors. As of December 19, 2025, the Shanghai Composite Index rose 0.03% for the whole week, while the Shenzhen Component Index fell 0.89%. In terms of styles, value outperformed growth. The trading volume of the two A - share markets decreased compared with the previous week. Among the industries, 19 out of 31 industries in the Shenwan primary industry classification rose [7]. - Bond market: The bond market fluctuated and rose. After the release of November's financial and economic data, the "supportive" tone is expected to continue next year. The yields of various bonds generally declined, the credit spread widened, the term spread narrowed, and the convertible bond index rose [8]. - Overseas market: US stocks fluctuated. European stock markets generally rose, while Asia - Pacific markets mostly declined. The US dollar index rose. Oil prices continued to fall due to pessimistic expectations about the US and global economic recoveries, while gold prices rose [9]. 2. Last Week's Fund Market Review - Stock funds: Stock - type funds fell 0.56% last week. Some funds heavily invested in the consumer and satellite sectors performed well. Index stock - type funds fell 0.54%, and actively - managed open - end stock funds fell 0.62% [10]. - Hybrid funds: Actively - managed open - end hybrid funds fell 0.42%. Among index funds, themes such as satellite, insurance, and petrochemical performed well [12]. - Bond funds: Bond - type funds rose 0.09%. Among them, index bond - type funds rose 0.11%, and actively - managed open - end bond funds rose 0.09%. Partially - debt funds and convertible - bond funds with non - banking and non - ferrous metals in the equity part performed well. Pure - bond funds mainly invested in high - grade credit bonds and medium - to long - term bonds performed well [12]. - Money market funds: The annualized yield of money market funds was 1.24% [12]. - QDII funds: Equity - type QDII funds fell 1.87%. Funds mainly investing in the Vietnamese market, US consumer stocks, and gold performed well. QDII bond - type funds rose 0.18% [13]. - Gold ETFs and their linked funds: Gold ETFs and their linked funds rose 1.15%, and commodity - type funds rose 1.02% [14]. 3. Future Investment Strategy - Stock and hybrid funds: Policy expectations are expected to be revised upwards, market trading is expected to be active. The "transformation bull market" in China will regain momentum, and the cross - year offensive has begun. It is advisable to adopt an equal - style allocation and focus on technology, non - banking, and consumer sectors [16]. - Bond funds: The weak and volatile pattern of the bond market may continue until after the cross - year period. It is recommended to focus on interest - rate bonds with flexible durations and products heavily invested in high - grade and highly - liquid credit bonds [17]. - Money market funds: There is no trend investment opportunity in the context of long - term low - level capital interest rates [17]. - Commodity funds: Gold ETFs can be appropriately allocated from the perspectives of long - term investment and hedging [17]. 4. Latest Fund Market Developments - Hong Kong - stock new funds: Since early October, 15 new Hong Kong - stock theme funds have ended their fundraising ahead of schedule. Many technology - theme ETFs have quickly increased their stock positions after establishment, showing a characteristic of "rapid issuance and construction" [18]. - QDII funds: On December 18, the subscription limit of the RMB share of the Morgan Nasdaq 100 Index Fund was adjusted to 10 yuan. Under the dual pressures of rigid foreign - exchange quota supply and strong overseas - allocation demand from investors, the investment enthusiasm for QDII funds is high, and many QDII funds have high premiums in the secondary market [19]. - Newly - established funds last week: A total of 34 new funds were established last week, with an average subscription period of about 21 days and an average raised share of 539 million. The total raised share was 1.8321 billion, and the largest - raised fund was the Xin'ao Fengxiang Interest - rate Bond Fund, with 5.251 billion shares [20]. - Fund dividends next week: There will be 64 fund shares for ex - rights registration in the coming days. The most notable one is the Huabao CSI 300 Index Enhancement Fund, which will distribute a dividend of 3.1 yuan per 10 shares [21].

Investment Rating - The report assigns an "Accumulate" rating for the industry [2] Core Insights - The company focuses on the cultural tourism main business, creating new growth drivers for performance [3] - The tourism market is experiencing a strong recovery, with domestic tourism expected to reach 5.75 trillion yuan in revenue and 56.15 billion visits in 2024, representing year-on-year growth of 17.11% and 14.8% respectively [4] - The company has a solid governance structure and is leveraging state-owned capital to ensure stable operations and compliance [4] Summary by Sections 1. Tourism Industry Recovery - Nationally, tourism is rebounding with significant increases in both visitor numbers and revenue, with 2024 seeing 56.15 billion visits and 5.75 trillion yuan in revenue, up 14.8% and 17.11% year-on-year [8] - In Shaanxi province, the tourism sector is also recovering, with 3.06 billion visitors and 376 billion yuan in revenue expected in 2024, marking growth of 16.5% and 12.3% respectively [15] 2. Diverse Business Model - The company's main business segments include tourism performances, cable cars, and dining, with tourism performances accounting for over 50% of revenue [19] - The governance structure is robust, with state-owned capital as a core support, ensuring operational independence and compliance [20] - Revenue from tourism performances is projected to be 6.81 billion yuan in 2024, with a stable gross margin around 70% [32] 3. Investment Projects - The company plans to invest 18.58 billion yuan, raising 15.55 billion yuan for key projects in cultural tourism, including the expansion of performance venues and cable car services [45]

Investment Rating - The report assigns an "Accumulate" rating for the beauty and personal care sector, indicating a positive outlook for the industry [6]. Core Insights - The beauty and personal care sector has experienced a significant pullback since August, with leading high-growth companies' valuations returning to 20-30x, and PEG ratios mostly below 1x, suggesting the sector is expected to bottom out [3][6]. - Lin Qingxuan is set to go public, focusing on the oil-based skincare segment, with a projected doubling of performance in the first half of 2025 [3][6]. Summary by Sections Market Performance - The beauty and personal care sector saw a decline of over 15% since August, with leading companies experiencing a valuation correction to 20-30x. The sector's maximum drawdown reached 17%, with top companies seeing declines of over 30% [6][8]. - The Shenyuan Beauty Care Index recorded a maximum increase of 19% in 2025, with key growth stocks like Ruoyuchen, Shangmei, and Maogeping achieving maximum gains of 239%, 198%, and 121% respectively [6][8]. Company Highlights - Lin Qingxuan, which is set to launch its IPO, plans to issue 13.97 million shares at an offering price of 77.77 HKD per share, corresponding to a market capitalization of 10.9 billion HKD. The company has secured cornerstone investors including Fidelity and others, with total subscriptions reaching 62 million USD [6][8]. - Lin Qingxuan's revenue for the first half of 2025 is projected at 1.05 billion CNY, reflecting a year-on-year increase of 98%, with a net profit of 182 million CNY, up 110%. The company's main product, a camellia oil essence, generated 480 million CNY in revenue, marking a 176% increase [6][8]. Investment Recommendations - The report suggests a bottom-up selection of stocks with product and channel innovations, highlighting strong growth potential in the beauty and personal care sector. Recommended stocks include: 1. High-growth brands: Ruoyuchen, Shangmei, Maogeping 2. Stable fundamentals with potential for improvement: Dengkang Oral, Shanghai Jahwa, Shuiyang, Jinbo Biological, Beitaini, Marubi, Qingsong 3. Stocks expected to bottom out: Pola, Juzibio, Lafang, Runben, Meilitiantian Medical Health, Furida, Huaxi Biological [6][7].

Investment Rating - The report assigns an "Accumulate" rating for the controllable nuclear fusion industry [5]. Core Insights - The controllable nuclear fusion industry is experiencing a significant acceleration in bidding, with major contracts focusing on components such as magnets and power supplies. The total amount of contracts awarded has exceeded 1 billion RMB [3][4]. - Trump Media Technology has announced a final merger agreement with TAE Technologies, valued at over 6 billion USD, aimed at building large fusion power plants to meet energy demands driven by artificial intelligence [4][18]. - The U.S. Department of Energy has invested 87 million USD to promote the application of artificial intelligence in fusion energy research, indicating a strong governmental push towards technological advancements in this field [24]. Summary by Sections Market Performance - During the week of December 15-19, the nuclear fusion index fell by 0.59%, underperforming the broader market by 0.62 percentage points [8][11]. Bidding and Contract Information - The report highlights that the bidding activity has significantly increased, with major contracts awarded primarily for magnets and power supplies. Notable companies involved in recent contracts include Aike Saibo and Qifan Cable [4][10]. Domestic and International News - Gyro Swin, an AI tool developed by a research team, has achieved a 1000-fold increase in the speed of 5D plasma modeling, reducing computation time from days to seconds [13]. - Thea Energy has unveiled the Helios concept design for a commercial fusion power station, which aims to simplify the manufacturing of complex magnetic fields necessary for plasma confinement [16][17]. Investment Dynamics - The merger between Trump Media Technology and TAE Technologies is expected to facilitate the construction of the first utility-scale fusion power plant, with an initial capacity of 50 MW and plans for future expansion [19][23]. - The report emphasizes the importance of focusing on key components such as magnets, power supplies, and other critical systems within the controllable nuclear fusion sector, identifying several key domestic suppliers [27].

Investment Rating - The report assigns an "Accumulate" rating for the industry [4]. Core Insights - The report highlights investment opportunities in the travel industry chain, gold and jewelry, and AI+ sectors [2]. - The upcoming New Year holiday is expected to boost travel and consumption, with specific recommendations for various companies in the travel and hospitality sectors [3][4]. - The retail sector showed a 6.58% increase last week, with the consumer services sector up 4.40%, ranking first and second among 30 industries [3]. Industry Summary - **Travel and Hospitality**: - Recommendations include Ctrip Group and Tongcheng Travel for OTA, Huazhu Group-S, Jinjiang Hotels, and Shoulv Hotels for hotels, and Changbai Mountain for scenic spots [3][4]. - **Gold and Jewelry**: - Recommended stocks include Lao Pu Gold, Caibai Shares, Luk Fook Holdings, Chow Tai Fook, and Chao Hong Ji, with a focus on Emperor Jewelry [3][4]. - **Dividend Stocks**: - Recommended stocks include Sumida, Action Education, and Chongqing Department Store [3]. - **AI+ Sector**: - Recommended stocks include Conant Optical, Chalk, Tianli International Holdings, and Core International, with a focus on Kevin Education and Dou Shen Education [3]. - **Stock Price Movements**: - Notable stock price increases include Hongqi Chain (+22.79%), Jiajiayue (+15.76%), Yonghui Supermarket (+15.20%), and Tianhong Shares (+13.85%) [3]. - **Key Industry Updates**: - Hainan Free Trade Port officially launched its island-wide customs closure operation, achieving sales of over 250 million yuan on the first day, a year-on-year increase of 90% [3]. - McDonald's China announced a price increase of 0.5 to 1 yuan for some menu items [3]. - Luckin Coffee and Dazhong Capital are evaluating the acquisition of Blue Bottle Coffee from Nestlé to enhance brand image and enter the high-end coffee market [3]. - **Retail Sector Data**: - November retail sales data showed a year-on-year increase of 1.3%, with a slowdown attributed to the early "Double Eleven" promotions [3]. - New store openings include JD's discount supermarket in Beijing and Meituan's Xiaoxiang Supermarket, with significant first-day revenues reported [3].

Quantitative Models and Construction Methods 1. Model Name: Enhanced Index Portfolio (沪深 300 Enhanced Portfolio, 中证 500 Enhanced Portfolio, 中证 1000 Enhanced Portfolio) - **Model Construction Idea**: The enhanced index portfolios aim to generate excess returns relative to their respective benchmark indices (沪深 300, 中证 500, 中证 1000) by leveraging quantitative strategies and factor-based stock selection[5][9][14] - **Model Construction Process**: - The portfolios are constructed by selecting stocks from the benchmark indices based on specific quantitative factors and optimization techniques - Excess returns are achieved by overweighting stocks with favorable factor exposures while maintaining risk constraints relative to the benchmark indices[5][9][14] - **Model Evaluation**: The enhanced portfolios demonstrate consistent excess returns over their benchmarks, indicating effective factor selection and portfolio construction[5][9][14] 2. Model Name: Multi-Factor Portfolios (进取组合, 平衡组合) - **Model Construction Idea**: These portfolios are designed to balance risk and return by combining multiple factors, such as value, growth, and momentum, to achieve superior performance relative to the 中证 500 index[10][11] - **Model Construction Process**: - The aggressive portfolio (进取组合) emphasizes higher-risk, higher-return factors - The balanced portfolio (平衡组合) incorporates a mix of factors to achieve moderate risk and return - Both portfolios are optimized to maximize excess returns while controlling for tracking error and other risk metrics[10][11] - **Model Evaluation**: The multi-factor portfolios show strong long-term performance, with the aggressive portfolio achieving higher returns but also higher volatility compared to the balanced portfolio[10][11] 3. Model Name: PB-Earnings Portfolio (PB-盈利优选组合) - **Model Construction Idea**: This portfolio focuses on stocks with low price-to-book (PB) ratios and strong earnings performance, aiming to capture value and profitability factors[31][32] - **Model Construction Process**: - Stocks are selected based on their PB ratios and earnings metrics - The portfolio is optimized to overweight stocks with the most favorable PB and earnings characteristics while maintaining diversification[31][32] - **Model Evaluation**: The PB-earnings portfolio demonstrates strong performance in capturing value and profitability factors, with consistent excess returns over the benchmark[31][32] 4. Model Name: GARP Portfolio (Growth at a Reasonable Price) - **Model Construction Idea**: The GARP portfolio targets stocks with a balance of growth and value characteristics, aiming to achieve superior risk-adjusted returns[34] - **Model Construction Process**: - Stocks are selected based on growth metrics (e.g., earnings growth) and valuation metrics (e.g., PE ratio) - The portfolio is optimized to overweight stocks with the best combination of growth and value characteristics[34] - **Model Evaluation**: The GARP portfolio effectively captures growth and value factors, delivering strong excess returns over the benchmark[34] 5. Model Name: Small-Cap Value and Growth Portfolios (小盘价值优选组合, 小盘成长组合) - **Model Construction Idea**: These portfolios focus on small-cap stocks with value or growth characteristics, aiming to capture the small-cap premium and specific factor exposures[36][38][40] - **Model Construction Process**: - The small-cap value portfolio emphasizes stocks with low valuation metrics (e.g., PB, PE) - The small-cap growth portfolio emphasizes stocks with high growth metrics (e.g., earnings growth) - Both portfolios are optimized to overweight stocks with the desired characteristics while maintaining diversification[36][38][40] - **Model Evaluation**: The small-cap value and growth portfolios show mixed performance, with strong long-term returns but higher volatility and occasional underperformance relative to benchmarks[36][38][40] --- Model Backtesting Results 1. Enhanced Index Portfolios - **沪深 300 Enhanced Portfolio**: Weekly return 1.11%, monthly return 2.82%, YTD return 23.97%, excess return 7.88%[9][14] - **中证 500 Enhanced Portfolio**: Weekly return 0.69%, monthly return 3.25%, YTD return 31.48%, excess return 6.26%[9][14] - **中证 1000 Enhanced Portfolio**: Weekly return 0.49%, monthly return 1.33%, YTD return 28.12%, excess return 5.09%[9][14] 2. Multi-Factor Portfolios - **Aggressive Portfolio (进取组合)**: Weekly return 3.36%, monthly return -2.71%, YTD return 75.17%, excess return 49.95%[10][11] - **Balanced Portfolio (平衡组合)**: Weekly return 1.59%, monthly return -3.88%, YTD return 57.75%, excess return 32.53%[10][11] 3. PB-Earnings Portfolio - Weekly return 2.63%, monthly return 0.45%, YTD return 22.97%, excess return 6.88%[31][32] 4. GARP Portfolio - Weekly return 2.58%, monthly return 1.93%, YTD return 38.61%, excess return 22.52%[34] 5. Small-Cap Value and Growth Portfolios - **Small-Cap Value Portfolio 1**: Weekly return 2.57%, monthly return -1.59%, YTD return 51.82%, excess return -28.51%[36] - **Small-Cap Value Portfolio 2**: Weekly return 1.98%, monthly return -3.13%, YTD return 57.03%, excess return -23.30%[38] - **Small-Cap Growth Portfolio**: Weekly return 1.00%, monthly return -1.60%, YTD return 67.78%, excess return -12.55%[40] --- Quantitative Factors and Construction Methods 1. Factor Name: Style Factors (市值, PB, PE_TTM) - **Factor Construction Idea**: Style factors capture characteristics such as size, value, and profitability, which are known to drive stock returns[43][44] - **Factor Construction Process**: - Stocks are ranked based on their factor values (e.g., market capitalization, PB ratio, PE ratio) - Portfolios are constructed by selecting the top and bottom 10% of stocks based on factor rankings - Long-short portfolios are created to calculate factor returns[42][43] - **Factor Evaluation**: Style factors demonstrate strong explanatory power for stock returns, with significant long-short portfolio returns[43][44] 2. Factor Name: Technical Factors (反转, 换手率, 波动率) - **Factor Construction Idea**: Technical factors capture short-term price movements and trading behaviors, such as reversals, turnover, and volatility[45][49] - **Factor Construction Process**: - Stocks are ranked based on their technical factor values (e.g., past returns, turnover rate, volatility) - Long-short portfolios are created to calculate factor returns[42][45] - **Factor Evaluation**: Technical factors show mixed performance, with some factors (e.g., turnover) delivering strong returns while others (e.g., reversals) underperform in certain periods[45][49] 3. Factor Name: Fundamental Factors (ROE, SUE, 预期净利润调整) - **Factor Construction Idea**: Fundamental factors capture company-level financial performance, such as profitability, earnings surprises, and earnings revisions[51][52] - **Factor Construction Process**: - Stocks are ranked based on their fundamental factor values (e.g., ROE, SUE, earnings revisions) - Long-short portfolios are created to calculate factor returns[42][51] - **Factor Evaluation**: Fundamental factors demonstrate strong performance, with significant long-short portfolio returns, especially for earnings-related factors[51][52] --- Factor Backtesting Results 1. Style Factors - **Market Cap (市值)**: Weekly long-short return 3.08%, YTD return 47.85% (全市场)[43][44] - **PB**: Weekly long-short return 2.66%, YTD return -9.25% (全市场)[43][44] - **PE_TTM**: Weekly long-short return 1.93%, YTD return 14.07% (全市场)[43][44] 2. Technical Factors - **Reversal (反转)**: Weekly long-short return 0.64%, YTD return 3.57% (全市场)[45][49] - **Turnover (换手率)**: Weekly long-short return 2.80%, YTD return 34.02% (全市场)[45][49] - **Volatility (波动率)**: Weekly long-short return 2.35%, YTD return 11.34% (全市场)[45][49] 3. Fundamental Factors - **ROE**: Weekly long-short return 0.57%, YTD return 2.13% (全市场)[51][52] - **SUE**: Weekly long-short return 0.15%, YTD return 22.06% (全市场)[51][52] - **Earnings Revisions (预期净利润调整)**: Weekly long-short return 0.32%, YTD return 16.37% (全市场)[51][52]