Report Industry Investment Rating - Not provided in the given content Core Viewpoints - According to Wind data, among the bonds traded at a discount, "24 Chanrong 08" had a relatively large deviation in bond valuation price. Among the bonds with rising net prices, "H2 Vanke 04" had a relatively high degree of deviation in valuation price. Among the Tier 2 and perpetual bonds with rising net prices, "25 Chongqing Three Gorges Bank Perpetual Bond 01" had a relatively large deviation in valuation price; among the commercial financial bonds with rising net prices, "25 Xiamen International Bank Bond 02" had a relatively high degree of deviation in valuation price. Among the bonds with a trading yield higher than 5%, real estate bonds ranked high. The changes in credit bond valuation yields were mainly distributed in the [-5,0) range. The trading terms of non-financial credit bonds were mainly distributed between 2 and 3 years, with the 3 - 4 year term variety having the highest proportion of discounted trades; the trading terms of Tier 2 and perpetual bonds were mainly distributed between 4 and 5 years, with the variety with a term of less than 1 year having the highest proportion of discounted trades. By industry, the bonds in the commercial and retail industry had the largest average deviation in valuation price [3]. Summary by Relevant Catalogs 1. Discounted Bond Trading Tracking - Bonds such as "24 Chanrong 08", "24 Chanrong 06", "24 Chanrong 04" in the non - banking financial industry and "24 Puzhi 03", "26 Puzhi 01" in the urban investment industry had relatively large deviations in valuation price and were traded at a discount. The trading scale of "23 AVIC Chanrong MTN001 (Sci - tech Innovation Note)" was 64.08 million yuan, which was relatively large among the discounted bonds [5]. 2. Tracking of Bonds with Rising Net Prices - "H2 Vanke 04", "H2 Vanke 06", "H2 Vanke 02" in the real estate industry and "26 Runtou V1" in the commercial and retail industry had relatively large positive deviations in valuation price and rising net prices. The trading scale of "26 Runtou V1" was 362.83 million yuan, which was relatively large among the bonds with rising net prices [6]. 3. Tracking of Tier 2 and Perpetual Bond Trading - "25 Chongqing Three Gorges Bank Perpetual Bond 01", "25 Luzhou Bank Perpetual Bond", "25 Beibu Gulf Bank Perpetual Bond 01" and other Tier 2 and perpetual bonds had a certain degree of deviation in valuation price. The trading scale of "25 Zhonghang Secondary Capital Bond 03A(BC)" was 433.483 million yuan, which was relatively large among the Tier 2 and perpetual bonds [7]. 4. Tracking of Commercial Financial Bond Trading - "25 Xiamen International Bank Bond 02", "25 CITIC Bank Green Bond 01BC", "25 Zheshang Bank Green Bond 01BC" and other commercial financial bonds had a certain degree of deviation in valuation price. The trading scale of "24 Nanjing Bank 02" was 613.72 million yuan, which was relatively large among the commercial financial bonds [8]. 5. Tracking of Bonds with a Trading Yield Higher than 5% - Bonds such as "H2 Vanke 04", "H2 Vanke 06", "H2 Vanke 02" in the real estate industry and "24 Chanrong 05", "23 Chanrong 10" in the non - banking financial industry had a trading yield higher than 5%. The trading scale of "23 AVIC Chanrong MTN001 (Sci - tech Innovation Note)" was 64.08 million yuan, which was relatively large among the high - yield bonds [9]. 6. Distribution of Credit Bond Valuation Deviations - The changes in credit bond valuation yields were mainly distributed in the [-5,0) range [3]. 7. Distribution of Non - financial Credit Bond Trading Terms - The trading terms of non - financial credit bonds were mainly distributed between 2 and 3 years, with the 3 - 4 year term variety having the highest proportion of discounted trades [3]. 8. Distribution of Tier 2 and Perpetual Bond Trading Terms - The trading terms of Tier 2 and perpetual bonds were mainly distributed between 4 and 5 years, with the variety with a term of less than 1 year having the highest proportion of discounted trades [3]. 9. Discounted Trading Proportion and Trading Scale of Non - financial Credit Bonds by Industry - The bonds in the commercial and retail industry had the largest average deviation in valuation price [3].

Group 1 - The report presents a quantitative timing strategy for convertible bonds based on a framework that combines macro and micro factors, emphasizing the necessity of timing investments in convertible bonds due to their dual characteristics of bond-like defense and stock-like elasticity [2][12] - The report highlights that a simple buy-and-hold strategy for convertible bonds is insufficient for long-term outperformance compared to pure bonds or capturing stock market gains, necessitating style switching and position timing [2][12] - The potential for optimizing risk-return ratios through precise timing is illustrated, with theoretical portfolio values projected to grow 4-7 times over ten years, significantly exceeding single asset returns [2][21] Group 2 - The report constructs a total of 54 micro factors and 146 macro factors from 2015 to 2025, applying Granger causality tests to identify predictive factors and using ARDL models for return forecasting [3][36] - The analysis indicates that different holding periods affect the dominance of various factors, with micro factors leading in short-term periods and macro factors becoming more predictive in longer-term scenarios [4][5] - Backtesting results show that the combined macro-micro strategy outperforms single-factor strategies, achieving an annualized excess return of 7.19% since 2015, with a Sharpe ratio of 1.6 and a maximum drawdown controlled around 5% [5][34] Group 3 - The report discusses the necessity of timing within the convertible bond market, noting that different styles (high vs. low price, high vs. low rating) do not consistently outperform, indicating a need for style timing [12][14] - The effectiveness of low valuation strategies has diminished since 2024, suggesting that the timing of high vs. low valuation strategies may gain importance as market conditions change [15][21] - The report emphasizes that the dynamic switching of style factors in the convertible bond market is crucial for capturing alpha, reinforcing the need for timing strategies [15][27]

Investment Rating - The report maintains a "Buy" rating for the company, indicating an expected price increase of over 15% in the next 6-12 months [6][14]. Core Insights - The company achieved a revenue of 4.77 billion RMB in 2025, a year-on-year increase of 2.9%, with a net profit attributable to shareholders of 226 million RMB, reflecting a significant growth of 34.4% year-on-year [3][11]. - The overseas business of the company saw substantial growth, with revenue from the overseas segment reaching 1.14 billion RMB, a remarkable increase of 44% year-on-year, driven by the expansion into the T.O.B market and growth in battery OEM exports [4]. - The company's gross profit margin improved to 49.4%, up by 0.6 percentage points year-on-year, primarily due to the significant growth in the OEM export scale of alkaline batteries and the structural impact of ceasing low-margin Red Bull agency business [5]. Financial Performance Summary - In Q4 2025, the company reported a revenue of 1.17 billion RMB, a year-on-year increase of 11.7%, and a net profit of 50 million RMB, which is a remarkable increase of 182.9% year-on-year [3][5]. - The company’s net profit margin for the entire year of 2025 was 4.7%, an increase of 1.1 percentage points year-on-year, supported by effective cost control across various expense categories [5]. - The projected net profits for 2026, 2027, and 2028 are expected to be 460 million RMB, 540 million RMB, and 600 million RMB, respectively, with growth rates of 104.5%, 16.0%, and 12.7% [6][11]. Valuation Metrics - The current price-to-earnings (P/E) ratios for the years 2026, 2027, and 2028 are projected to be 29.6, 25.5, and 22.7, respectively, indicating a favorable valuation outlook [6][11].

Group 1: Industry Insights on Holiday Consumption - The bright performance of holiday consumption during the Spring Festival in 2026 is attributed to a combination of the holiday consumption pulse effect, intensified policy support, and an extended holiday duration [1][12] - Service consumption saw a significant increase, with tourism spending rising by 18.7% year-on-year, while retail and catering consumption grew by 5.7%, surpassing the previous year's growth rates [1][12] - The pulse effect of holiday consumption is particularly pronounced among wage earners, whose consumption behavior is more reliant on holiday windows, leading to concentrated spending during the holiday period [12][13] Group 2: Consumer Trends and Policy Impact - The high growth in goods consumption during the holiday is primarily driven by the implementation of the "old-for-new" policy, rather than a significant holiday pulse effect [12][13] - Sales of six categories of home appliances and four categories of digital products benefiting from the "old-for-new" subsidies increased by 21.7% year-on-year, significantly outpacing overall goods consumption growth during the holiday [12][13] - The overall consumer demand remains weak when combining data from January and February, indicating that the foundation for a comprehensive recovery is not yet solid [4][12] Group 3: Sector-Specific Performance - In the energy and resources sector, coal supply constraints have intensified, while demand remains weak and stable, leading to a mixed price performance [3][26] - The real estate sector experienced a notable decline in new and second-hand housing transaction volumes, with investment continuing to drop during the seasonal low [3][34] - The financial sector saw an increase in A-share market activity, with new credit issuance exceeding expectations in January [3][11] Group 4: Future Outlook - The transmission of consumer recovery from corporate profit stabilization to disposable income growth is critical for future consumption trends [2][13] - The ongoing decline in disposable income growth, which was approximately 4.3% year-on-year as of December 2025, poses a constraint on consumption [2][13] - The adjustment of consumption targets by local governments for 2026 indicates a cautious outlook for overall consumer recovery, with many provinces lowering their retail sales growth targets [2][13]

Investment Rating - The report maintains a "Buy" rating for the company, indicating an expected price increase of over 15% in the next 6-12 months [6][14]. Core Insights - The company achieved a revenue of 4.77 billion RMB in 2025, a year-on-year increase of 2.9%, and a net profit attributable to shareholders of 226 million RMB, up 34.4% year-on-year [3][11]. - The overseas business of the company saw significant growth, with revenue from the overseas segment reaching 1.14 billion RMB, a substantial increase of 44% year-on-year, driven by the expansion into the T.O.B market and growth in battery OEM exports [4]. - The company's gross profit margin improved to 49.4%, up 0.6 percentage points year-on-year, primarily due to increased scale from battery OEM exports and the cessation of low-margin businesses [5]. Financial Performance - In Q4 2025, the company reported a revenue of 1.17 billion RMB, reflecting an 11.7% year-on-year growth, and a net profit of 50 million RMB, which is a remarkable increase of 182.9% year-on-year [3][5]. - The company’s net profit margin for the entire year of 2025 was 4.7%, an increase of 1.1 percentage points year-on-year [5]. - The projected net profits for 2026, 2027, and 2028 are expected to be 460 million RMB, 540 million RMB, and 600 million RMB, representing year-on-year growth rates of 104.5%, 16.0%, and 12.7% respectively [6][11]. Valuation Metrics - The current price-to-earnings (P/E) ratios for 2026, 2027, and 2028 are projected to be 29.6, 25.5, and 22.7 times respectively [6][11]. - The company is expected to maintain stable cash flow and high dividends, with new business segments such as battery exports and power banks contributing to growth [6].

Investment Rating - The report suggests a focus on quantum computing systems and core hardware segments, indicating a positive outlook for investment in these areas [2][4]. Core Insights - The report highlights significant advancements in quantum technology, particularly with the introduction of the "Zuchongzhi-3" quantum computer, which has set new records in superconducting quantum computing [12][19]. - There is a notable increase in orders and revenue for leading companies in the quantum sector, indicating a strong upward trend in the industry [30][36]. - The inclusion of quantum technology in the "14th Five-Year Plan" and subsequent policy support is expected to provide a clearer mid-term guidance for the industry [38][41]. Summary by Sections Section 1: Quantum Technology Advancements - The "Zuchongzhi-3" quantum computer was launched in March 2025, achieving a significant performance milestone by solving quantum random circuit sampling tasks 15 orders of magnitude faster than the fastest supercomputers [12][19]. - In December 2025, China surpassed the quantum error correction threshold, marking a substantial step towards universal quantum computing [19]. - The report notes that quantum technology has been included in the "14th Five-Year Plan," with various provinces quickly integrating it into their local plans, which is expected to boost industry development [38][41]. Section 2: Focus on Quantum Computing Systems and Core Hardware - The upstream of the quantum computing industry includes measurement and control systems, quantum bit environments, and quantum chips, which are essential for quantum computing [42][43]. - The report emphasizes that domestic quantum computing companies are achieving competitive parity with international leaders in terms of qubit count and fidelity metrics [48][49]. - The global market for quantum computing upstream is projected to grow from $2.04 billion in 2024 to $72.57 billion by 2030, indicating a significant expansion opportunity [45][47]. Section 3: Investment Recommendations - The report recommends focusing on leading companies in the quantum sector, particularly GuoDun Quantum, which is positioned to benefit from the growing demand for quantum computing systems and related hardware [30][31].

Investment Rating - The report suggests a positive investment outlook for the targeted protein degradation (TPD) industry, indicating it is at a historical turning point for commercialization, with significant growth potential similar to the ADC sector [1]. Core Insights - The TPD field is transitioning from a scientific concept to a commercial explosion, with key catalysts expected in 2026, including the approval of Arvinas' ARV-471 and BMS's Iberdomide, marking the realization of TPD technology's value after over 20 years of development [1]. - The report highlights the dual-driven technological landscape of PROTAC and molecular glue, with rapid penetration into new therapeutic areas such as autoimmune diseases, showcasing the industry's adaptability and growth potential [2]. - The emergence of AI technologies is accelerating the drug development process in TPD, making this an optimal time for investment as the first PROTAC molecules are set to commercialize [17]. Summary by Sections Investment Logic - TPD is expected to replicate the growth trajectory of ADCs, overcoming barriers associated with traditional small molecule inhibitors by utilizing the UPS and ALPS systems for effective protein degradation [1]. - 2026 is projected to be a pivotal year for commercialization, with significant drug approvals anticipated [1]. Technological Pathways - The report outlines a dual-driven approach with PROTAC and molecular glue technologies, emphasizing their clinical validation and the potential for new therapeutic applications [2]. - The self-immune field is highlighted as a strategic growth area, with companies like Kymera and Monte Rosa developing promising candidates [2]. Competitive Landscape - Key catalysts in 2026 are expected to reshape the competitive landscape, with companies demonstrating platform capabilities and differentiated target strategies likely to enjoy valuation premiums [3]. - The report identifies several leading companies and their promising pipelines, including Arvinas, Nurix, and Monte Rosa, which are positioned to capitalize on upcoming clinical data and market opportunities [3]. Investment Recommendations - The report recommends focusing on late-stage assets nearing commercialization, particularly those from Arvinas and BMS, while also highlighting biotech firms like Monte Rosa and Kymera that are expanding into autoimmune and chronic disease markets [4].

Core Insights - Market volatility has increased, leading to an earlier pricing of strong redemption. The average conversion premium for high-priced convertible bonds (above par 130) has decreased from 20% to 14% since February 24, with a loss of over 5 percentage points in just two weeks, approaching the levels seen at the beginning of the year [2][10][11] - The main reason for the valuation adjustment is the downward volatility in the equity market, which has significantly impacted the valuation of high-priced convertible bonds, especially those needing recalculation of strong redemption dates [2][18] - The issuance of convertible bonds is expected to accelerate in the second half of 2025, with TMT-related bonds accounting for nearly 50% of the total, contributing to the upward pressure on high-priced bond premiums [2][20] Market Review - The equity market experienced significant adjustments due to geopolitical conflicts, with the Shanghai Composite Index and ChiNext Index falling by 0.93% and 2.45%, respectively. The TMT sector saw declines exceeding 5% due to overseas supply chain impacts [29][30] - The average conversion premium for convertible bonds in the range of par 90-110 is currently at 35.5%, down 2 percentage points from the previous week, indicating that the valuation of balanced convertible bonds remains at a historical high [38][41] Investment Strategy - The report suggests maintaining caution in the convertible bond market while seeking trading opportunities. The current high valuation of convertible bonds, coupled with expectations of strong redemption and market volatility, indicates that future fluctuations may remain significant [3][4] - Specific sectors to watch include cyclical stocks such as Shenghong and Zhongte, technology stocks like Luwei and Daotong, and lithium battery-related companies such as Liko and Zhoubang [3]

Macro Liquidity - The US dollar index has rebounded, and the degree of inversion in the China-US interest rate differential has deepened, with inflation expectations also rising [2][14]. - Offshore dollar liquidity has marginally tightened, while the domestic interbank funding situation remains balanced and relatively loose [2][21]. Market Trading Activity, Volatility, and Liquidity - Market trading activity continues to rise, with trading heat in sectors such as oil and petrochemicals, military industry, public utilities, and steel exceeding the 90th percentile [3][27]. - The volatility of major indices has increased, with sectors like steel, military, oil and petrochemicals, and non-ferrous metals showing volatility above the 80th percentile [3][33]. - Market liquidity indicators have improved, although all sectors remain below the 70th historical percentile [3][37]. Institutional Research - The banking, electronics, computing, electric new energy, and pharmaceutical sectors are leading in research activity, with construction materials, computing, media, pharmaceuticals, and textiles showing a month-on-month increase in research heat [4][44]. Analyst Forecasts - The net profit forecasts for the entire A-share market for 2026/2027 have been downgraded, with the proportion of stocks with upward revisions decreasing [5][19]. - Specific sectors such as computing, transportation, machinery, electricity, and public utilities have seen upward revisions in their 2026/2027 net profit forecasts [5][21]. - The net profit forecasts for the CSI 500 and ChiNext indices for 2026/2027 have been increased, while the forecasts for the CSI 300 and SSE 50 have been decreased [5][23]. - Mid-cap/small-cap growth and large/mid/small-cap value sectors have seen upward revisions in their 2026/2027 net profit forecasts [5][25]. Northbound Trading Activity - Northbound trading activity has increased slightly, continuing to show a net sell-off in A-shares [6][31]. - In the top 10 active stocks, the buy-sell ratio for sectors like telecommunications, electric new energy, and automobiles has risen, while it has decreased in non-bank financials, non-ferrous metals, and electronics [6][32]. - For stocks with northbound holdings below 30 million shares, there has been a net buying in electronics, electric new energy, and media sectors, while net selling occurred in computing, military, and coal sectors [6][33]. Margin Financing Activity - Margin financing activity has rapidly declined to the lowest point since mid-July 2025, with a net sell-off of 24.172 billion yuan last week [6][35]. - The main net buying occurred in oil and petrochemicals, transportation, and non-ferrous sectors, while net selling was seen in TMT, electric new energy, and banking sectors [6][36]. - Only the financing buying ratio for agriculture, forestry, animal husbandry, and fishing, textiles, and transportation sectors has increased [6][38]. Long-Short Trading Activity - The trading heat in the long-short list has decreased, with the total trading amount falling and its proportion of total A-share trading also declining [7][41]. - Sectors like oil and petrochemicals and agriculture have a relatively high and still rising proportion of trading amounts in the long-short list [7][44]. Active Equity Fund Positions - The positions of actively managed equity funds have continued to decline, while ETFs have seen a net redemption, although the pace has noticeably slowed [8][45]. - After excluding the impact of price changes, actively managed equity funds have mainly increased positions in oil and petrochemicals, military, and media sectors, while reducing positions in electronics, telecommunications, and chemicals [8][47]. - The correlation between actively managed equity funds and small-cap growth/value has increased, while the correlation with large/mid-cap growth/value has decreased [8][48]. - The scale of newly established equity funds has rebounded, with both actively and passively managed funds seeing an increase in establishment scale [8][50].

Quantitative Models and Construction Methods 1. Model Name: Global Asset Allocation Model Based on Artificial Intelligence - **Model Construction Idea**: This model applies machine learning techniques to global asset allocation, leveraging factor investment principles to rank assets and construct a monthly quantitative equal-weight allocation strategy[38] - **Model Construction Process**: - The model evaluates various global assets using machine learning algorithms to assign scores to each asset - Based on these scores, the model determines the optimal allocation weights for each asset class - For March, the recommended weights were: Government Bond Index 75.99%, SHFE Gold 23.50%, and Nasdaq 0.51%[38][42] - **Model Evaluation**: The model demonstrates superior performance in terms of return, risk-adjusted return, and drawdown control compared to the benchmark[40] 2. Model Name: Stock-Bond Allocation Model Based on Dynamic Macro Event Factors - **Model Construction Idea**: This model integrates a macro timing module and a risk budgeting framework to allocate between stocks and bonds for different risk preferences (Conservative, Balanced, and Aggressive)[45] - **Model Construction Process**: - The macro timing module evaluates signals from economic growth and monetary liquidity dimensions - The risk budgeting framework adjusts stock and bond weights based on the strength of these signals - For February, the stock weights were 30.00% (Aggressive), 13.81% (Balanced), and 0.00% (Conservative), with the remaining allocated to bonds[45][46] - **Model Evaluation**: The model has shown strong historical performance, with high annualized returns and Sharpe ratios across all risk profiles[46][51] 3. Model Name: Dividend Style Timing Model - **Model Construction Idea**: This model uses a dynamic macro event factor system based on economic growth and monetary liquidity indicators to time allocations to the CSI Dividend Index[52] - **Model Construction Process**: - The model evaluates 10 indicators across economic growth and monetary liquidity dimensions - For March, the final composite signal was 1, with economic growth indicators (e.g., power generation, PPI YoY, PPI-CPI spread) signaling bullish, while no monetary liquidity indicators signaled bullish[52][54] - **Model Evaluation**: The strategy outperforms the CSI Dividend Total Return Index in terms of annualized return, volatility, and drawdown, with a smoother net value curve[52][53] --- Model Backtesting Results 1. Global Asset Allocation Model Based on Artificial Intelligence - **Annualized Return**: 16.48% - **Annualized Volatility**: 6.78% - **Maximum Drawdown**: -6.66% - **Sharpe Ratio**: 1.15 - **Year-to-Date Return**: 5.72%[40][43] 2. Stock-Bond Allocation Model Based on Dynamic Macro Event Factors - **Aggressive Profile**: - Annualized Return: 20.07% - Annualized Volatility: 14.00% - Maximum Drawdown: -13.72% - Sharpe Ratio: 1.31 - Year-to-Date Return: 5.42% - **Balanced Profile**: - Annualized Return: 10.79% - Annualized Volatility: 8.09% - Maximum Drawdown: -6.77% - Sharpe Ratio: 1.19 - Year-to-Date Return: 1.81% - **Conservative Profile**: - Annualized Return: 5.85% - Annualized Volatility: 3.19% - Maximum Drawdown: -3.55% - Sharpe Ratio: 1.49 - Year-to-Date Return: 0.83%[46][51] 3. Dividend Style Timing Model - **Annualized Return**: 15.85% - **Annualized Volatility**: 16.17% - **Maximum Drawdown**: -21.22% - **Sharpe Ratio**: 0.93 - **Recent 1-Month Return**: 1.35%[52][53]