Domestic Market Overview - The domestic market showed a mixed performance with the Shanghai Composite Index closing at 4084.79 points, down 0.26%, while the Shenzhen Component Index rose 0.19% to 14307.58 points. The ChiNext Index increased by 1.41% [1][4] - Among 30 sectors, 16 sectors saw gains, with the most significant increases in comprehensive finance, food and beverage, and electronics. Conversely, steel, non-ferrous metals, and construction experienced notable declines [1][4] Overseas Market Overview - The three major U.S. stock indices all closed higher, with the Dow Jones up 0.83%, the S&P 500 rising 1.01%, and the Nasdaq increasing by 1.22%. Notable performers included Facebook, which rose over 2%, and Amazon, which approached a 2% increase [2][4] Economic Data - China's economic performance for the first two months of the year showed a fixed asset investment growth of 1.8% year-on-year, with a 5.2% increase when excluding real estate development investment. The industrial value-added growth was 6.3%, and the service production index grew by 5.2% [10][14] - Retail sales of consumer goods increased by 2.8%, with a notable decline in real estate development investment by 11.1% [14][15] News Highlights - China and the U.S. held trade talks in Paris, agreeing to explore the establishment of a bilateral trade and investment cooperation mechanism. The discussions focused on tariff arrangements and promoting bilateral trade [11][12] - The Chinese Ministry of Commerce responded to the U.S. initiating a 301 investigation against 16 economies, emphasizing that such actions undermine international trade order [16][17] Hydrogen Energy Initiatives - The Ministry of Industry and Information Technology, along with two other departments, launched pilot projects for comprehensive hydrogen energy applications, aiming for significant advancements in hydrogen energy technology and a doubling of fuel cell vehicle ownership by 2030 [19]

Quantitative Models and Factors Summary Quantitative Models and Construction Methods - **Model Name**: Rotation Model **Model Construction Idea**: The model aims to allocate between micro-cap stocks and the "Mao Index" based on relative performance and timing indicators[19][27] **Model Construction Process**: 1. **Rotation Indicators**: - Use the relative net value of micro-cap stocks to the Mao Index. If the value is above the 243-day moving average, the preference is for micro-cap stocks; otherwise, the Mao Index is preferred. - Incorporate the 20-day closing price slope of both indices. When the slopes diverge and one is positive, allocate to the index with a positive slope[19][27] 2. **Timing Indicators**: - Use the 10-year government bond yield (threshold: 0.3) and micro-cap stock volatility crowding degree (threshold: 0.55). If either indicator reaches its threshold, a liquidation signal is triggered[19][27] **Model Evaluation**: The model currently signals a balanced allocation between micro-cap stocks and the Mao Index, with no systemic risk detected in the medium term[19][20][27] Quantitative Factors and Construction Methods - **Factor Name**: Value Factor **Factor Construction Idea**: Focuses on stocks with low valuation metrics, such as price-to-book and price-to-earnings ratios, to identify undervalued opportunities[55][67][70] **Factor Construction Process**: - Key metrics include: - **BP_LR**: Book value per share divided by market price - **EP_FTTM**: Forward 12-month earnings divided by market price - **SP_TTM**: Trailing 12-month sales divided by market price[67][70] **Factor Evaluation**: The value factor performed strongly in the past week, driven by market preference for cyclical and high-dividend assets amid geopolitical and inflationary concerns[55][56] - **Factor Name**: Volatility Factor **Factor Construction Idea**: Measures stock price stability and identifies opportunities in low-volatility stocks[55][67][70] **Factor Construction Process**: - Key metrics include: - **IV_CAPM**: Residual volatility from the CAPM model - **IV_FF**: Residual volatility from the Fama-French three-factor model - **Volatility_60D**: Standard deviation of 60-day returns[67][70] **Factor Evaluation**: The volatility factor showed excellent performance, reflecting market demand for stability during periods of heightened uncertainty[55][56] - **Factor Name**: Technical Factor **Factor Construction Idea**: Utilizes historical price and volume patterns to predict future stock movements[55][67][70] **Factor Construction Process**: - Key metrics include: - **Turnover_Mean_20D**: 20-day average turnover rate - **Price_Chg20D**: 20-day price change - **Skewness_240D**: Skewness of 240-day returns[67][70] **Factor Evaluation**: The technical factor also performed well, benefiting from short-term trading opportunities in a volatile market[55][56] - **Factor Name**: Growth Factor **Factor Construction Idea**: Identifies companies with strong earnings and revenue growth potential[55][67][70] **Factor Construction Process**: - Key metrics include: - **NetIncome_SQ_Chg1Y**: Year-over-year growth in quarterly net income - **OperatingIncome_SQ_Chg1Y**: Year-over-year growth in quarterly operating income - **Revenues_SQ_Chg1Y**: Year-over-year growth in quarterly revenues[67][70] **Factor Evaluation**: The growth factor underperformed due to market rotation into value and defensive sectors[55][56] - **Factor Name**: Convertible Bond Factors **Factor Construction Idea**: Combines equity and bond characteristics to identify attractive convertible bond opportunities[64][67] **Factor Construction Process**: - Key metrics include: - **Parity Premium**: Difference between the convertible bond price and its parity value - **Underlying Stock Metrics**: Factors such as growth, valuation, and quality of the underlying stock[64][67] **Factor Evaluation**: Convertible bond factors, particularly valuation and underlying stock value, achieved high IC averages last week[64][65] Backtesting Results of Models and Factors - **Rotation Model**: - Relative net value of micro-cap stocks to Mao Index: 2.49 (above the 243-day moving average of 1.97)[19][27] - 20-day closing price slope: Micro-cap stocks at 0.2%, Mao Index at -0.29%[19][27] - Volatility crowding degree: 3.37% (below the risk threshold of 55%)[19][22] - 10-year government bond yield: -2.27% (below the risk threshold of 0.3%)[19][22] - **Quantitative Factors**: - **Value Factor**: IC mean of 20.98%[55][56] - **Volatility Factor**: IC mean of 22.08%[55][56] - **Technical Factor**: IC mean of 10.07%[55][56] - **Growth Factor**: IC mean of -6.32%[55][56] - **Convertible Bond Factors**: High IC averages for valuation and underlying stock value[64][65]

Group 1 - ST Keli Da (603828.SH) and its chairman Gu Yiming received a notice from the China Securities Regulatory Commission (CSRC) regarding an investigation for suspected violations of information disclosure laws [1] - The company announced an expected net profit loss of 160 million to 200 million yuan for 2025, primarily due to the downturn in the construction industry, declining project margins, and increased impairment of receivables [1] - As of March 16, ST Keli Da's stock price was reported at 6.68 yuan per share [2] Group 2 - Xiangyou Technology (600476.SH) also received a notice from the CSRC for suspected violations of information disclosure laws [4] - The company expects a net profit loss of 550 million to 370 million yuan for 2025 [5] - As of March 16, Xiangyou Technology's stock price increased by 0.23% to 12.82 yuan per share, with a total market value of 2.065 billion yuan [6]

Group 1: Macroeconomic Liquidity - The US dollar index continued to rise, and the degree of inversion in the China-US interest rate spread deepened, with inflation expectations also increasing [2][16] - Offshore US dollar liquidity has marginally tightened, while the domestic interbank funding situation remains balanced [2][23] Group 2: Market Trading Activity and Volatility - Market trading activity has decreased, with major indices experiencing increased volatility; sectors such as oil and petrochemicals, electric new energy, public utilities, and construction are above the 90th percentile in trading activity [3][28] - The volatility of major indices, including the CSI 300 and ChiNext, has continued to rise, with steel and military sectors also showing volatility above the 90th historical percentile [3][35] Group 3: Institutional Research - The banking, electronics, electric new energy, computing, and automotive sectors are leading in research activity, with banking and automotive sectors showing a month-on-month increase in research heat [4][46] Group 4: Analyst Forecasts - Analysts have simultaneously raised net profit forecasts for the entire A-share market for 2026/2027, with increases noted in sectors such as electric new energy, non-ferrous metals, construction, machinery, and pharmaceuticals [5][19] - The proportion of stocks with upward revisions in net profit forecasts for 2026/2027 has increased across the A-share market [5][17] Group 5: Northbound Trading Activity - Northbound trading activity has decreased, continuing to net sell A-shares, with a notable increase in the buy/sell ratio for electric new energy, electronics, and automotive sectors [6][32] - Northbound trading primarily net bought coal and oil and petrochemical sectors, while net selling occurred in electronics, computing, and chemicals [6][33] Group 6: Margin Financing Activity - Margin financing activity has slightly increased but remains at a low level, with net buying primarily in electric new energy, chemicals, and computing sectors [7][35] - The proportion of financing purchases has increased across most sectors, with net buying focused on mid-cap growth and mid/small-cap value stocks [7][38] Group 7: Active Equity Funds and ETFs - Active equity funds have increased their positions, particularly in military, machinery, and automotive sectors, while reducing positions in non-ferrous metals, oil and petrochemicals, and steel [9][45] - ETFs have continued to experience net redemptions, particularly in broad-based indices like CSI 500, CSI 300, and ChiNext, while sectors such as electric power and public utilities saw net inflows [9][52]

Investment Rating - The industry investment rating is "Overweight" indicating a positive outlook for the sector compared to the overall market performance [2][23]. Core Insights - Fixed asset investment growth stabilized in early 2026, with a cumulative year-on-year increase of 1.8%, a decrease of 5.6 percentage points compared to the full year of 2025. Manufacturing investment saw a year-on-year increase of 3.1%, up 2.5 percentage points from 2025 [4][10]. - Infrastructure investment, under a new calculation method, showed a year-on-year increase of 11.4% in January-February 2026. Key sectors such as transportation and public utilities also reported significant growth [5][10]. - Real estate investment remained low, with a year-on-year decrease of 11.1% in January-February 2026, indicating a continued weak recovery in the sector [10][15]. Summary by Sections Fixed Asset Investment - In January-February 2026, fixed asset investment grew by 1.8% year-on-year, with manufacturing investment increasing by 3.1% [4][5]. Infrastructure Investment - Infrastructure investment increased by 11.4% year-on-year in January-February 2026. Specific sectors such as transportation and public utilities showed growth rates of 9.1% and 8.3%, respectively [5][6]. Real Estate Investment - Real estate investment saw a significant decline of 11.1% year-on-year in January-February 2026, with construction starts and completions also decreasing by 23.1% and 27.9%, respectively [10][15]. Investment Recommendations - The report suggests focusing on sectors such as steel structure, chemical engineering, and cleanroom technology, highlighting companies like Honglu Steel Structure and China Chemical as potential investment opportunities [15].

Group 1: Liquidity - The issuance scale of equity public funds has returned to a historical high, with new fund issuance reaching 198.2 billion units, up from 31.2 billion units previously, marking a 95% percentile in the last three years[9] - Margin financing net inflow was approximately 48.8 billion, a significant increase from the previous outflow of 253.1 billion, placing it at the 57% percentile over the last three years[13] - Southbound capital net inflow surged to 465 billion, returning to a historical high, while equity financing decreased to 38.1 billion, at the 22% percentile[25][36] Group 2: Trading Congestion - The trading heat index for the chemical industry increased by 23 percentage points to 63%, while the construction sector rose by 19 percentage points to 79%[42] - The media sector saw a decline of 30 percentage points to 55%, and the real estate sector decreased by 16 percentage points to 28%[42] - The overall trading volume for stock ETFs turned negative at -74 billion, down from a previous inflow of 45.6 billion, placing it at the 23% percentile[20] Group 3: Investor Sentiment - Retail investor net inflow in A-shares was 1430.3 billion, a decrease of 694.2 billion from the previous week, placing it at the 80% percentile over the past five years[2] - The search interest for A-shares on social media platforms has declined, indicating a decrease in market enthusiasm amid external geopolitical and liquidity disturbances[66] - The trend of public funds clustering has intensified, with a focus on value and sectors like consumption and cyclical industries[2]

Market Overview - On March 16, 2026, A-shares experienced fluctuations around the previous day's closing position, with all three major indices closing down, each declining by less than 1%[1] - The total trading volume in the Shanghai and Shenzhen markets reached 2.42 trillion yuan, a decrease of over 430 billion yuan compared to March 12[1] - Only a few sectors, including food and beverage, construction, banking, and real estate, saw gains, while the majority of sectors declined[1] Sector Performance - Energy-related sectors such as chemicals, wind power, and lithium batteries showed resilience, supporting the market amid a weak overall performance[1] - Technology sectors (computing power, AI) and non-ferrous metals collectively retreated, negatively impacting the indices[1] - Approximately 1,500 stocks rose, with the proportion of rising stocks close to 30%, remaining stable compared to March 12[1] Investment Insights - The market's recent pullback confirms a weak market effect, prompting a defensive investment style among market participants due to geopolitical tensions and energy price fluctuations[1] - Investors are advised to focus on energy-related sectors, blue-chip stocks, and the pharmaceutical sector for potential opportunities[1] Fund Flow - On March 13, the Shanghai Composite Index saw a net outflow of 3.668 billion yuan, while the Shenzhen Composite Index experienced a net inflow of 6.444 billion yuan[5] - The top three sectors for net inflow were infrastructure, batteries, and agricultural chemicals, while IT services, software development, and consumer electronics faced the largest outflows[5] Private Fund Performance - As of the end of February 2026, the average return of private equity funds reached 6.89%, with 85.04% of the 12,270 products achieving positive returns[15]

Group 1 - The article discusses the tax rates applicable to various services, including transportation, postal, telecommunications, and financial services, with rates ranging from 6% to 13% depending on the service type [3][4]. - Specific tax rates are outlined for different categories, such as 9% for transportation services and postal services, 6% for value-added telecommunications services, and 13% for leasing and repair services [3][4]. - The article also mentions zero tax rates for certain exports and cross-border services, including research and development services and international transportation services [4][10]. Group 2 - The implementation date for the new tax regulations is set for December 1, 2024, as per the announcement from the relevant authorities [10][11]. - The article emphasizes the importance of electronic invoicing for passenger transport services, detailing how electronic travel documents will be managed and verified through tax digital accounts [10]. - It provides guidance on income recognition for companies, stating that revenue should be recognized when goods are delivered, regardless of when payment is received, in accordance with the accrual basis of accounting [15][16].

Investment Rating - The industry investment rating is "Buy" [2] Core Insights - The report emphasizes the importance of "computing power and electricity collaboration" as it has been included in the government work report for the first time, indicating a new phase during the 14th Five-Year Plan. This collaboration aims to integrate computing power infrastructure with the power system through digital technology and intelligent algorithms, optimizing resource allocation and enhancing operational efficiency [6][14][21]. - The report highlights the significant role of green electricity in supporting the computing power industry, with a focus on the integration of various elements such as energy supply, grid transmission, intelligent scheduling, and energy storage [21][24]. - The operational costs of computing power centers are highly dependent on electricity expenses, with electricity costs accounting for approximately 45% of total operational costs. The shift towards green electricity is becoming a necessity for the development of data centers [32][33][42]. Summary by Sections Policy Perspective - The government work report for 2026 mentions the implementation of large-scale computing power and electricity collaboration as a new infrastructure project, aiming for over 80% green electricity usage in new data centers by 2025 [14][16]. - Policies are being established to promote the use of green electricity in data centers, including green electricity trading and long-term Power Purchase Agreements (PPAs) [16][21]. Industry Perspective - The collaboration between computing power and electricity is described as a closed-loop industrial chain, where green electricity companies play a central role in providing clean energy and optimizing costs while contributing to carbon reduction [21][24]. - The report outlines the integration of various resources in the computing power and electricity collaboration, emphasizing the dual empowerment of electricity supporting computing and computing optimizing electricity [21][24]. Cost Perspective - The report indicates that the cost structure of computing power centers is significantly influenced by electricity prices and energy efficiency levels (PUE). A reduction in PUE from 1.5 to 1.2 and a decrease in electricity price from 0.8 to 0.4 CNY/kWh can save approximately 315 million CNY annually for a 50MW data center [32][33]. - The report also notes that the energy consumption of IT equipment is the primary contributor to electricity costs, with IT devices accounting for 67% of energy consumption in data centers [33][34]. Investment Recommendations - The report recommends focusing on the revaluation of green electricity operators and the first-mover advantage of integrated computing power and electricity construction operators. Key companies to watch include China Electric Power Construction (operating 24GW of green electricity), China Energy Engineering (operating 15GW), and Deep Sanda A (cloud computing PaaS) [53][54].

中信证券研报表示，建筑行业在过往下行周期中，一方面竞争格局得以优化，另一方持续加大第二增长 曲线布局。在"十五五"期间行业总需求有望迎来底部反转+行业估值整体处于相对洼地背景下，我们认 为当前板块具备进可攻、退可守的双重投资逻辑：1）进攻端，过去几年在第二主业已有充分布局的企 业，有望率先迎来价值重估；2）防御端，部分企业分红率逆势提升，同时股息率处于较高水平。维持 行业"强于大市"评级。 （文章来源：第一财经） ...