1. Report Industry Investment Rating No information provided regarding the report industry investment rating. 2. Core View of the Report The convertible bond market declined this week. It is recommended that investors track market supply, policy rhythm, and geopolitical conflict disturbances, and make comprehensive judgments based on convertible bond terms and underlying stock conditions to select bonds in a refined manner [3]. 3. Summary by Relevant Catalogs Market Conditions - From March 9 to March 13, 2026 (5 trading days), the CSI Convertible Bond Index had a change of -1.10% (last week's change was -2.07%), and the CSI All-Share Index changed by -0.51% (last week's change was -2.28%). Since 2026, the CSI Convertible Bond Index has changed by +3.41%, and the CSI All-Share Index has changed by +5.09% [1]. - By rating, high-rated bonds (AAA), medium-high-rated bonds (AA+), medium-rated bonds (AA), medium-low-rated bonds (AA-), and low-rated bonds (AA- and below) had weekly changes of +0.02%, -0.79%, -1.83%, -2.55%, and -1.97% respectively. High-rated bonds rose, while the rest declined [1]. - By convertible bond scale, large-scale convertible bonds (bond balance > 2 billion yuan), medium-large-scale convertible bonds (balance between 1.5 and 2 billion yuan), medium-scale convertible bonds (balance between 1 and 1.5 billion yuan), small-medium-scale convertible bonds (balance between 0.5 and 1 billion yuan), and small-scale convertible bonds (balance < 0.5 billion yuan) had weekly changes of -0.27%, +0.02%, +0.05%, -2.11%, and -2.75% respectively. Medium-large-scale and medium-scale convertible bonds rose, while the rest declined [2]. - By parity, ultra-high parity bonds (conversion value > 130 yuan), high parity bonds (conversion value between 120 and 130 yuan), medium-high parity bonds (conversion value between 110 and 120 yuan), medium parity bonds (conversion value between 100 and 110 yuan), medium-low parity bonds (conversion value between 90 and 100 yuan), low parity bonds (conversion value between 80 and 90 yuan), and ultra-low parity bonds (conversion value < 80 yuan) had weekly changes of -6.78%, -3.29%, -0.36%, -1.46%, -1.71%, -0.88%, and +0.07% respectively. All except ultra-low parity bonds declined [2]. Current Convertible Bond Valuation Levels As of March 13, 2026, there were 377 outstanding convertible bonds (382 at the end of last week), with a balance of 527.921 billion yuan (532.506 billion yuan at the end of last week). Specifically: - The average convertible bond price was 139.04 yuan (139.31 yuan at the end of last week), with a percentile of 96.49% (from the beginning of 2023 to March 13, 2026, the same below). - The average convertible bond parity was 108.59 yuan (106.74 yuan at the end of last week), with a percentile of 97.79%. - The average convertible bond conversion premium rate was 29.05% (31.15% at the end of last week), with a percentile of 22.76% [3]. Convertible Bond Increase Situation The top 15 convertible bonds in terms of increase this week are as follows: | Serial Number | Convertible Bond Abbreviation | Underlying Stock Abbreviation | Industry | Latest Closing Price (yuan) | Convertible Bond Increase (%) | Underlying Stock Increase (%) | | --- | --- | --- | --- | --- | --- | --- | | 1 | Wankai Convertible Bond | Wankai New Materials | Basic Chemicals | 262.02 | 19.61 | 22.58 | | 2 | Baichuan Convertible Bond 2 | Baichuan Co., Ltd. | Basic Chemicals | 200.58 | 16.16 | 18.06 | | 3 | Hebang Convertible Bond | Hebang Biotechnology | Basic Chemicals | 185.67 | 16.15 | 13.10 | | 4 | Xinfu Convertible Bond | SANGFOR Technologies | Computer | 116.60 | 10.24 | 2.21 | | 5 | Lianrui Convertible Bond | Lianrui New Materials | Basic Chemicals | 228.18 | 10.20 | 21.33 | | 6 | Dazhong Convertible Bond | Dazhong Mining | Steel | 412.99 | 8.68 | 10.30 | | 7 | Tongyu Convertible Bond | Tongyu Heavy Industry | Power Equipment | 153.00 | 7.59 | 28.35 | | 8 | Rong 23 Convertible Bond | Rongsheng Environmental Protection | Light Industry Manufacturing | 143.52 | 7.05 | 7.65 | | 9 | Jinlang Convertible Bond 02 | Jinlang Technology | Power Equipment | 182.17 | 6.53 | 16.03 | | 10 | Zhoubang Convertible Bond | Shenzhen Capchem Technology | Power Equipment | 184.40 | 5.93 | 8.61 | | 11 | Huati Convertible Bond | Huati Technology | Electronics | 124.09 | 5.32 | 9.43 | | 12 | Hengyi Convertible Bond 2 | Hengyi Petrochemical | Petroleum and Petrochemicals | 150.47 | 5.30 | -1.16 | | 13 | Yiwei Convertible Bond | EVE Energy | Power Equipment | 168.80 | 4.99 | 13.13 | | 14 | Shangtai Convertible Bond | Shangtai Technology | Power Equipment | 155.00 | 4.74 | 14.25 | | 15 | Lanfan Convertible Bond | Bluestar Medical | Medical Biology | 113.75 | 4.21 | 14.83 | [19]

Core Viewpoint - The article discusses the strong performance of the CSI 1000 Index and its enhanced strategy, highlighting its superior returns in various time frames and the underlying factors contributing to its success [2][4][10]. Group 1: Performance Overview - Since the beginning of 2026, the CSI 1000 Index has increased by 8.61%, ranking just behind the CSI 500 and CSI 2000 indices [2]. - The private equity CSI 1000 enhanced strategy has achieved a return of 10.61% year-to-date in 2026, and over the past three and five years, it has outperformed all broad-based strategies with returns of 84.31% and 128.75%, respectively [4][15]. - The CSI 1000 enhanced strategy has shown high volatility and drawdown, yet maintains a leading Sharpe ratio compared to other broad-based strategies [17]. Group 2: Characteristics of CSI 1000 Enhanced Strategy - The CSI 1000 Index consists of 1,000 stocks ranked 801-1800 by market capitalization, focusing on small-cap companies, with an average market cap of approximately 16.2 billion [12]. - The index's top five sectors include electronics (14.45%), power equipment (9.72%), pharmaceuticals (8.59%), computers (8.12%), and machinery (7.52%), reflecting a "technology growth" characteristic [12]. - The strategy benefits from a high beta due to its focus on small-cap stocks, which exhibit greater price elasticity and market sentiment fluctuations [14]. Group 3: Market Inefficiencies and Alpha Generation - The article highlights that the inefficiencies in the market contribute to the generation of alpha, as stocks with lower analyst coverage tend to have pricing inefficiencies [22]. - The low analyst coverage of CSI 1000 constituents allows skilled managers to exploit these inefficiencies, leading to enhanced returns [22][23]. Group 4: Future Outlook and Policy Support - The expected net profit growth rate for the CSI 1000 Index in 2026 is projected at 25%, significantly higher than the overall market average of 18.9% and the CSI 300's 10.1% [25]. - Recent government policies aimed at supporting venture capital and technology innovation are expected to boost market sentiment towards small-cap growth stocks [25]. - The article suggests that the potential for excess returns in the CSI 1000 remains strong, supported by structural characteristics rather than cyclical phenomena [25]. Group 5: Investment Strategy for Individuals - Given the high volatility of the CSI 1000 enhanced strategy, a long-term holding approach is recommended to smooth out fluctuations and capture both beta and alpha returns [27]. - The strategy is suggested as a complementary aggressive satellite allocation alongside large-cap blue-chip stocks, rather than a concentrated bet [27].

Investment Rating - The report maintains a "Recommended" rating for the electronic industry [1] Core Insights - The electronic sector is experiencing structural differentiation, with electronic chemicals performing exceptionally well [1] - The semiconductor equipment sector has seen a significant pullback, but the long-term outlook remains positive due to high industry demand [3] - The semiconductor materials and electronic chemicals sectors show strong resilience, driven by rising prices in storage chips and strategic value in upstream materials [3] - The integrated circuit packaging and testing sector has a negative performance this week, but expansion expectations remain unchanged [3] - The analog chip design sector has shown excellent performance, with major companies planning to raise prices, indicating a structural recovery [3] - The digital chip design sector has faced a decline, but upcoming product launches from major companies may act as a catalyst for growth [3] Summary by Sections Semiconductor Equipment - The sector has experienced a notable pullback, but the long-term growth logic remains strong, supported by stable performance expectations from domestic semiconductor equipment companies [3] Semiconductor Materials & Electronic Chemicals - This sector has demonstrated strong resilience, with strategic value highlighted by recent price increases from major electronic materials companies [3] Integrated Circuit Packaging and Testing - Despite a decline in performance, expansion plans for packaging and testing firms remain intact, with new facilities expected to enhance capabilities [3] Analog Chip Design - The sector has performed well, with price increases anticipated from leading companies, indicating a healthy recovery driven by demand in AI data centers [3] Digital Chip Design - The sector has seen a decline, but upcoming product launches are expected to provide a boost, with a shift towards inference computing in AI infrastructure [3] Investment Recommendations - The report suggests focusing on companies such as Cambrian, Haiguang Information, Zhongwei Company, Northern Huachuang, Tuojing Technology, Anji Technology, Dinglong Co., and Changdian Technology due to their strong positioning in the market [3]

1. Report Industry Investment Rating There is no information about the industry investment rating in the provided content. 2. Core Viewpoints of the Report - Southern Fund's Lin Lefeng has nearly a decade of public - fund management experience, managing 10 public - offering products with a total scale of 17.611 billion yuan, including 8 fixed - income + products and 2 active equity funds. His investment framework is centered around customer needs, focusing on growth and value, and supported by the platform. The fixed - income + product line has a clear risk - return spectrum, achieving replicable investment strategies under different risk budgets [3][4]. - Southern Baofeng has significant excess returns, with high - position Hong Kong stocks and a balanced stock - holding strategy. It uses a medium - short duration and moderate leverage strategy in bond investment, and its stock investment has a balanced layout of defensive and growth sectors [4]. - Southern Baoyuan Bond shows strong short - term performance, medium - term stability, and long - term solidity. It has a high stock - position limit, a diversified bond investment style, and a stock investment style that focuses on low - valuation, medium - large - cap, and high - quality stocks [4]. 3. Summary According to the Directory 1. Southern Fund Lin Lefeng: Macro as the Anchor, Quality as the Core, Starting from Customer Needs, Creating a Diversified and Replicable Fixed - Income + Product Line 1.1 Product Matrix Spanning Fixed - Income + and Active Equity, Differentiated Risk Strategies to Meet Investment Preferences - Lin Lefeng has rich experience, starting as a researcher and becoming a public - fund manager in 2016. Currently, he manages 10 public - offering products, with 8 fixed - income + products and 2 active equity funds [3][11]. - The fixed - income + fund product line covers various types, divided into three levels by risk: low - risk balanced type (represented by Southern Ankang with a risk - asset center of 10%); medium - risk strategic type (including Southern Zhenyuan, Southern Anyu, Southern Baofeng, and Southern Baotai One - Year, with a risk - asset center between 15% - 25%); medium - high - risk strategic type (represented by Southern Baoyuan Bond, Southern Baochang, and Southern Baojia, with a risk - asset center of ≥25%) [12][13][15]. 1.2 Investment Framework: Starting from Customer Needs, Focusing on Growth and Value, Supported by the Platform - **Investment Philosophy**: In asset allocation, start from the product's risk - return characteristics, use macro tools for analysis, and make dynamic adjustments. In industry allocation, compare industries top - down and maintain a balanced allocation when there is no clear direction. In stock selection, focus on companies with reasonable valuations, growth, and value, giving priority to long - term company quality, considering valuation cost - effectiveness, and downplaying short - term prosperity [20][22]. - **Systematic Support**: The company has a solid talent base, with a hybrid asset investment department of over 30 people with an average work experience of over 15 years. It has a four - dimensional research system of "macro - credit - equity - quantitative" and a digital technology platform, and adheres to the brand concept of "customer - need - centered" [25][26][29]. - **Portfolio Risk Control**: Implement risk control through investment decision - making meetings, position indicator tracking, concentration and turnover management, and a drawdown risk budget mechanism to ensure the stability and sustainability of the product's risk - return characteristics [30][31]. - **Product System**: The fixed - income + product line has clear risk - return characteristics, covering different risk levels from low to high, meeting the needs of investors with different risk preferences and demonstrating the replicability of the investment framework [32]. 2. Southern Baofeng: High - Position Hong Kong Stocks to Increase Returns, Balanced Positions for Stable Development 2.1 Return - Risk Characteristics: Ranking First in the Performance of Fixed - Income + Products with the Same Position in Hong Kong Stocks in the Past Year - Since its establishment, Southern Baofeng has achieved a cumulative return of 37.12%, significantly outperforming the Wanfang partial - debt hybrid fund index by 10.78%. In the past year, it ranked first among comparable products in terms of return, Calmar ratio, and drawdown control [33][36]. 2.2 Asset Allocation: High - Position Hong Kong Stocks as the Foundation, Flexible Position Adjustment at Key Points - It gradually reduced the convertible bond position since the end of 2021 and increased the stock position to 25%. The Hong Kong stock position has been increasing, with an average Hong Kong stock position of 9.51% in the past three years. It only adjusts positions at key market nodes [39]. 2.3 Bond Investment Style: Medium - Short Duration Coupon Strategy to Build a Safety Cushion - It prefers credit bonds such as medium - term notes and corporate bonds, and seizes trading opportunities in interest - rate bonds. It uses a "medium - duration + moderate leverage" strategy, with a medium - high leverage level and a medium - term duration center of 1.87 years in the past three years [41][46]. 2.4 Stock Investment Style: Balanced Layout of Defensive and Growth Sectors, Balanced Allocation of Industries and Individual Stocks - The industry concentration is moderate, with a balanced layout of defensive and growth sectors, and dynamic adjustment according to the market environment. The stocks held have the characteristics of low valuation, medium - large market capitalization, and high - quality earnings. The turnover rate is low, and the concentration of individual stocks is at a healthy neutral level. The top ten heavy - position stocks contribute significantly to the portfolio return [53][57][60]. 3. Southern Baoyuan Bond: Low - Valuation and High - Quality Balanced Allocation, Building a Long - Term Performance Moat 3.1 Return - Risk Characteristics: Strong Short - Term Performance Explosiveness, Solid Long - Term Performance Foundation - Since Lin Lefeng took over, the fund has an annualized return of 5.82% and a cumulative return of 73.49%, significantly outperforming the secondary bond fund index. It shows the characteristics of strong short - term performance, medium - term stability, and long - term solidity, and the investor's profit - making effect increases with the holding time [77][79][83]. 3.2 Asset Allocation: A Scarce Secondary Bond Fund with a High Stock Position - It is a secondary bond fund with a stock - position upper limit of 35%. The stock position fluctuates between 25% - 35%, and it focuses on stock investment to increase returns without investing in Hong Kong stocks. The position adjustment is relatively stable [87]. 3.3 Bond Investment Style: Diversified Credit Bonds to Balance Credit Risk and Coupon Income - In bond type allocation, it currently forms a pattern of medium - term notes, financial bonds, and corporate bonds. It adjusts the leverage and duration according to the market environment and focuses on bank perpetual bonds and high - quality individual bonds [91][94][98]. 3.4 Stock Investment Style: Low - Valuation to Anchor the Safety Margin, High - Quality to Drive Excess Returns, Long - Term Holding to Realize Value - It has a broad ability circle with a balanced industry layout and dynamically adjusts the allocation according to market trends. The stocks held have the characteristics of low valuation, medium - large market capitalization, and high - quality earnings. The turnover rate is low, and the concentration of individual stocks is low. The top ten heavy - position stocks contribute significantly to the return, and the consumer sector has contributed high returns in the past [99][103][116].

Quantitative Models and Construction Methods - **Model Name**: 250-Day New High Distance Model **Model Construction Idea**: This model tracks the distance of the latest closing price from the highest closing price over the past 250 trading days. It is used to identify stocks or indices that are trending upward and approaching new highs, which can serve as market indicators[11][18]. **Model Construction Process**: The formula for calculating the 250-day new high distance is: $ 250\text{-day new high distance} = 1 - \frac{Close_t}{\text{ts\_max}(Close, 250)} $ - $ Close_t $: Latest closing price - $ \text{ts\_max}(Close, 250) $: Maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price has fallen from the high, the distance is a positive value, representing the degree of decline[11]. **Model Evaluation**: The model effectively captures momentum and trend-following strategies, which have been validated by prior research[11][18]. - **Model Name**: Stable New High Stock Selection Model **Model Construction Idea**: This model identifies stocks with stable price paths and consistent upward trends, focusing on momentum characteristics over time. It incorporates factors such as analyst attention, relative price strength, and price path smoothness[23][26]. **Model Construction Process**: 1. Filter stocks that have reached a 250-day new high in the past 20 trading days. 2. Apply the following criteria: - Analyst Attention: At least 5 "Buy" or "Overweight" ratings in the past 3 months. - Relative Price Strength: Top 20% in terms of 250-day price performance. - Price Path Smoothness: Use metrics such as cumulative absolute daily returns over the past 120 days and the ratio of price displacement to path length. - Trend Continuity: Average 250-day new high distance over the past 120 days. - Recent Momentum: Average 250-day new high distance over the past 5 days. 3. Rank stocks based on these metrics and select the top 50% for further analysis[23][26]. **Model Evaluation**: The model emphasizes smooth momentum and sustained trends, which are less likely to attract excessive attention, potentially leading to stronger momentum effects[23]. Model Backtesting Results - **250-Day New High Distance Model**: - Major indices' 250-day new high distances as of March 13, 2026: - Shanghai Composite: 2.08% - Shenzhen Component: 1.54% - CSI 300: 2.54% - CSI 500: 4.84% - CSI 1000: 4.05% - CSI 2000: 4.39% - ChiNext Index: 2.30% - STAR 50 Index: 11.72%[12][13][33] - **Stable New High Stock Selection Model**: - Selected 18 stocks, including Bawei Storage, High Energy Environment, and Han's Laser. - Sector distribution: - Technology: 7 stocks (e.g., electronics) - Cyclical: 6 stocks (e.g., basic chemicals) - Manufacturing, healthcare, and others: Remaining stocks[27][30][34] Quantitative Factors and Construction Methods - **Factor Name**: 250-Day New High Distance **Factor Construction Idea**: Measures the proximity of a stock's price to its 250-day high, capturing momentum and trend-following characteristics[11]. **Factor Construction Process**: $ 250\text{-day new high distance} = 1 - \frac{Close_t}{\text{ts\_max}(Close, 250)} $ - $ Close_t $: Latest closing price - $ \text{ts\_max}(Close, 250) $: Maximum closing price over the past 250 trading days[11]. **Factor Evaluation**: Widely supported by academic research and practical applications, this factor is a robust indicator of momentum[11][18]. - **Factor Name**: Price Path Smoothness **Factor Construction Idea**: Evaluates the stability of a stock's price movement, favoring stocks with smoother upward trends[23]. **Factor Construction Process**: - Calculate cumulative absolute daily returns over the past 120 days. - Compute the ratio of price displacement to path length over the same period. - Rank stocks based on these metrics and select the top performers[23][26]. **Factor Evaluation**: Smooth price paths are less likely to attract excessive attention, leading to stronger and more sustainable momentum effects[23]. Factor Backtesting Results - **250-Day New High Distance Factor**: - Major indices' 250-day new high distances as of March 13, 2026: - Shanghai Composite: 2.08% - Shenzhen Component: 1.54% - CSI 300: 2.54% - CSI 500: 4.84% - CSI 1000: 4.05% - CSI 2000: 4.39% - ChiNext Index: 2.30% - STAR 50 Index: 11.72%[12][13][33] - **Price Path Smoothness Factor**: - Selected 18 stocks with stable price paths, including Bawei Storage, High Energy Environment, and Han's Laser. - Sector distribution: - Technology: 7 stocks (e.g., electronics) - Cyclical: 6 stocks (e.g., basic chemicals) - Manufacturing, healthcare, and others: Remaining stocks[27][30][34]

Group 1 - The report tracks stocks, industries, and sectors reaching new highs, indicating market trends and hotspots, with a focus on the effectiveness of momentum and trend-following strategies [1][4] - As of March 13, 2026, the distance to the 250-day high for major indices is as follows: Shanghai Composite Index at 2.08%, Shenzhen Component Index at 1.54%, CSI 300 at 2.54%, CSI 500 at 4.84%, CSI 1000 at 4.05%, CSI 2000 at 4.39%, ChiNext Index at 2.30%, and STAR 50 Index at 11.72% [6][26] - Among the CITIC first-level industry indices, construction, coal, electric power and public utilities, electric equipment and new energy, and basic chemicals are closest to their 250-day highs, while food and beverage, retail, non-bank financials, comprehensive finance, and pharmaceuticals are further away [9][26] Group 2 - A total of 1,266 stocks reached a 250-day high in the past 20 trading days, with the most significant numbers in the machinery, basic chemicals, and electronics sectors, while the highest proportions of new highs are in oil and petrochemicals, coal, and electric power and public utilities [14][26] - The cyclical and technology sectors had the most stocks reaching new highs this week, with respective counts of 415 and 378, while the proportions of new highs in various indices are: CSI 2000 at 21.35%, CSI 1000 at 25.50%, CSI 500 at 29.60%, CSI 300 at 22.00%, ChiNext Index at 19.00%, and STAR 50 Index at 12.00% [17][26] Group 3 - The report identifies 18 stocks with stable new highs, including Bawei Storage, High Energy Environment, and Dazhu Laser, with the technology and cyclical sectors having the most stocks selected, specifically in electronics and basic chemicals [22][27] - The selection criteria for stable new high stocks include analyst attention, relative strength of stock prices, price path stability, and continuity of new highs [20][21]

Group 1: Export Revenue Ratios - The electronics industry has the highest export revenue ratio at 30.68% for the period of 2024H1-2025H1[3] - The automotive industry follows with an export revenue ratio of 20.08%[3] - The home appliance industry has an export revenue ratio of 19.09%[3] - The real estate sector has the lowest export revenue ratio at 0.04%[3] - The public utilities sector has an export revenue ratio of 0.71%[3] - The non-bank financial sector has an export revenue ratio of 1.17%[3] Group 2: Industry Performance and Trends - The average export revenue ratio for the machinery equipment industry is 14.60%[3] - The average export revenue ratio for the textile and apparel industry is 10.43%[3] - The overall market environment has shown increased uncertainty due to geopolitical tensions, impacting sector performance[3] - The report indicates a negative trend in index performance across various sectors, with the electronics sector experiencing a decline of 5.07%[3]

Market Overview - The market shows a trend of simultaneous reduction in positions by both institutional and retail investors in the Sci-Tech Innovation Index, with a noticeable convergence in the outflow speed of institutional funds from the ChiNext Index and the entire A-share market since March 4 [6][7] - Institutional funds exhibited strong outflow momentum before March 4, which weakened afterward, indicating a volatile outflow pattern [6][7] - Retail investors displayed a gradual outflow from the Sci-Tech Innovation Index, maintaining a wait-and-see attitude [6][7] Fund Flow by Market Capitalization and Valuation Style - Institutional funds accelerated their outflow from high-valuation indices, while retail funds continued to flow into these indices, indicating a lack of style preference switch [16][17] - The divergence in net inflow rates between retail and institutional investors remains positive across various style indices, suggesting a more cautious approach from institutional investors [16][17] Fund Flow by Major Industry Style - Institutional funds are slowly returning to the cyclical manufacturing sector, with a shift from outflow to slow inflow observed after March 4 [22][23] - The market displays significant volatility in fund inflow acceleration for both technology and cyclical manufacturing sectors, reflecting strong market competition [22][23] Fund Flow by Primary Industry Upstream Resources - Institutional funds are experiencing significant outflows from non-ferrous metals, while the outflow from basic chemicals is stabilizing [28][29] - Retail funds are heavily flowing into non-ferrous metals, indicating a strong speculative interest [28][29] Midstream Materials & Manufacturing - The electric power equipment sector has seen cumulative net inflows from institutional funds, while defense and machinery sectors are experiencing fluctuating outflows [30][31] - Retail buying power has shown a phase of increase, with net inflow rates indicating stronger retail interest compared to institutional [30][31] Downstream Essential Consumption - Institutional funds have shown a slight net inflow into agriculture, forestry, animal husbandry, and fishery, while other sectors lack significant buying momentum [34][35] Downstream Discretionary Consumption - There is no significant inflow momentum from institutional funds in this sector, with notable outflows particularly in household appliances [37] TMT Sector - The TMT sector is characterized by strong small-order buying power, while institutional funds are showing fluctuating outflows in communication and electronics [40][41] Large Financials - Retail investors are favoring banks for defensive positioning, with significant net inflows, while institutional funds continue to show outflows in non-bank financials [48][49] Support Services - The public utilities sector is a trading hotspot, with institutional funds showing alternating net inflows and outflows, indicating significant volatility [54][55] Leverage Fund Situation - The growth rate of margin financing and securities lending balances has slowed, with the market average guarantee ratio showing adjustments, indicating manageable leverage risks [60][61] - As of March 12, the total margin financing and securities lending balance is approximately 2.66 trillion yuan, maintaining ample liquidity [60][61] - The overall trading activity in margin financing has declined, with the proportion of margin trading transactions decreasing to 9.67% [61][62]

Core Insights - The report highlights the continuous improvement in the multi-metal reserves of the company, with a significant increase in gold, silver, lead, zinc, and copper reserves, indicating a stable upward cycle in performance [6][7][9] - The company achieved a revenue of 171 billion yuan in 2025, representing a year-on-year growth of 25.9%, and a net profit of 29.7 billion yuan, up 36.7% from the previous year [6][8] - The production cost advantage for gold has been further strengthened, with the company maintaining a position among the top 10 globally in terms of all-in sustaining costs [9][10] Company Performance - The company reported a basic earnings per share (EPS) of 1.1 yuan for 2025, reflecting a growth of 36.8% year-on-year [6] - The total gold resources held by the company reached 280.94 tons by the end of 2025, with a year-on-year increase of 1.3% [7] - The company’s cash dividend distribution plan for 2025 includes a payout of 4.8 yuan per 10 shares, totaling 1.332 billion yuan, with a dividend payout ratio of 44.82% [10] Industry Outlook - The multi-metal revenue growth is driven by rising prices of gold, silver, and lead, despite a decrease in production volumes for some metals [8][9] - The company anticipates a significant increase in gold production capacity by 2028, projecting an output of over 18 tons, which is a 137% increase compared to 2025 [9] - The report indicates a favorable outlook for the multi-metal industry, with expectations of continued demand and price increases due to global economic conditions [11]

Investment Rating - The report maintains a positive outlook on the company, indicating a brighter future driven by strong demand from AI servers, 800G network switches, and low Earth orbit satellite applications [4]. Core Insights - The company is expected to see revenue growth in Q1 2026, supported by increased shipments of GB300 platform, AWS Trainium3 computing modules, and demand for low Earth orbit satellite applications [5]. - Price increases planned for Q2 2026 are anticipated to alleviate cost pressures from rising raw material costs, particularly fiberglass and copper foil, contributing to a gradual expansion of profit margins [6]. - The company's production capacity is projected to increase significantly from 5.85 million units per month at the end of 2025 to 6.15 million and 9.45 million units by the end of 2026 and 2027, respectively, reflecting management's confidence in structural demand [7]. Summary by Sections Company Overview - The company, established in 1992, specializes in the production of copper foil substrates (CCL) and semi-cured sheets, becoming the largest manufacturer of halogen-free substrate materials globally since 2013 [11]. Revenue Breakdown - Revenue by product: Copper foil substrates account for 56.1%, films for 42.6%, multilayer laminates for 0.7%, and others for 0.6% [12]. - Revenue by region: Asia contributes 93.3%, Americas 3.5%, Europe 2.4%, and Middle East & Africa 0.8% [12]. Stock Information - As of March 11, 2026, the stock price is 2450.0 New Taiwan Dollars, with a market capitalization of 26.79 billion USD [14].