1. Report Industry Investment Rating There is no information provided in the report regarding the industry investment rating. 2. Core Viewpoint of the Report The report analyzes the asset allocation changes of public - offering bond funds in Q4 2025. In Q4, medium - and long - term pure bond funds continued to shrink, while second - tier bond funds maintained growth. All types of bond funds increased their bond positions, with second - tier bond funds reducing their stock positions. Short - term bond funds increased leverage, medium - and long - term bond funds decreased leverage, and most bond funds reduced duration. All bond funds significantly increased their allocation to credit bonds and reduced their allocation to interest - rate bonds. There were signs of marginal credit downgrading in the top - holding bonds, and there were regional differences in the allocation of top - holding urban investment bonds. [1][2][3] 3. Summary by Directory 3.1 Medium - and Long - term Pure Bond Funds Shrink, Second - tier Bond Funds Grow In Q4 2025, the scale of medium - and long - term pure bond funds continued to shrink, while the scale of second - tier bond funds maintained growth. The total net asset value of the four types of bond funds was 9.2 trillion yuan, an increase of 151.2 billion yuan from the previous quarter. Medium - and long - term pure bond funds decreased by 154.9 billion yuan to 5.76 trillion yuan, short - term pure bond funds increased by 69.9 billion yuan to 1.02 trillion yuan. The first - tier bond funds decreased by 14 billion yuan to 833.1 billion yuan, and second - tier bond funds increased by 250.3 billion yuan to 1.6 trillion yuan. [1][10] 3.2 Asset Structure: Bond Positions Increase In terms of asset allocation structure, the scale contraction led medium - and long - term bond funds to reduce their bond holdings, while second - tier bond funds increased their bond allocation due to share expansion. The four types of funds collectively increased their bond holdings by 168.1 billion yuan. By the end of 2025, medium - and long - term pure bond funds, short - term pure bond funds, first - tier bond funds, and second - tier bond funds held bond market values of 6.69 trillion yuan, 1.1 trillion yuan, 941 billion yuan, and 1.42 trillion yuan respectively. Medium - and long - term pure bond funds reduced their holdings by 186.3 billion yuan, while short - term pure bond funds, first - tier bond funds, and second - tier bond funds increased their holdings by 84.2 billion yuan, 17.5 billion yuan, and 252.6 billion yuan respectively. The bond positions of all types of bond funds increased, and the stock position of second - tier bond funds decreased slightly. [18][19] 3.3 Medium - and Long - term Bond Funds Reduce Leverage and Control Duration Short - term bond funds increased leverage, while medium - and long - term bond funds decreased leverage. In Q4, short - term pure bond funds adopted a defensive coupon strategy of "increasing leverage + reducing duration", with the leverage ratio increasing by 0.26 pct to 111.66%. Medium - and long - term pure bond funds actively reduced leverage due to net redemption pressure and unstable long - term interest rates, with the leverage ratio decreasing by 0.92 pct to 115.83%. The leverage ratios of first - tier and second - tier bond funds increased by 1.58 pct and 0.82 pct to 113.53% and 111.59% respectively. Most bond funds reduced their duration exposure. The arithmetic average durations of medium - and long - term interest - rate bond funds, medium - and long - term credit bond funds, short - term interest - rate bond funds, and short - term credit bond funds in Q4 were 3.35 years, 2.38 years, 0.99 years, and 0.88 years respectively, decreasing by 0.23 years, 0.15 years, 0.19 years compared to Q3, and the short - term credit bond fund increased by 0.02 years. [28] 3.4 Bond Type Portfolio: Increase Allocation to Credit Bonds, Reduce Allocation to Interest - rate Bonds In Q4, the four types of bond funds collectively increased their credit bond holdings by 306.1 billion yuan and reduced their interest - rate bond holdings by 117.4 billion yuan. Among pure bond funds, medium - and long - term bond funds reduced interest - rate bonds and increased credit bonds, and short - term bond funds increased their credit bond allocation more than interest - rate bonds. Among bond funds with equity components, first - tier bond funds mainly increased their credit bond holdings, and second - tier bond funds increased their credit bond allocation more than interest - rate bonds. In terms of specific bond types, medium - and long - term pure bond funds mainly reduced their holdings of treasury bonds, policy - financial bonds, and financial bonds and increased their holdings of medium - term notes; short - term pure bond funds mainly increased their holdings of financial bonds, policy - financial bonds, and commercial paper; first - tier bond funds mainly increased their holdings of financial bonds; second - tier bond funds mainly increased their holdings of financial bonds and policy - financial bonds. The proportion of policy - financial bonds in the interest - rate bond portfolio of most bond funds increased. [35][43][52] 3.5 Top - holding Bond Analysis: Rating Central Tendency Migrates Downward In Q4 2025, bond funds significantly reduced their holdings of interest - rate bonds, slightly reduced their holdings of urban investment bonds, increased their holdings of convertible bonds, industrial bonds, and certificates of deposit, and slightly increased their holdings of financial bonds. There were signs of marginal credit downgrading in the top - holding bonds. Most bond funds reduced the proportion of AAA - rated bonds and increased the proportion of AA - and below - rated bonds. In terms of regional allocation of top - holding urban investment bonds, bond funds significantly reduced their holdings of urban investment bonds in Zhejiang and Anhui and increased their holdings in Sichuan and Chongqing. [55][58][65]

Investment Rating - The report maintains a "Buy" rating for key companies in the sector, including Zhongji Xuchuang, Xinyi Sheng, and Tianfu Communication, among others [11]. Core Insights - The transition to the "Agent" era is accelerating, with AI agents like Clawdbot and Claude Excel evolving from simple conversational tools to essential productivity tools, significantly increasing demand for cloud computing resources [1][20]. - The AI application landscape is fundamentally shifting from simple interactions to deep integration into work processes, marking a new paradigm where AI becomes a core executor in workflows [2][21]. - The emergence of AI agents is driving a qualitative change in underlying computing power demand, as these agents transition from auxiliary tools to autonomous entities [3][22]. - The competition for computing power is intensifying, with rising cloud service prices and continuous growth in capital expenditures (capex) from cloud providers, highlighting the increasing importance of scarce computing resources [4][23]. Summary by Sections Investment Strategy - The report suggests focusing on the computing power sector, particularly in optical communications, with recommended companies including Zhongji Xuchuang, Xinyi Sheng, and Tianfu Communication [14]. - It also highlights the importance of liquid cooling and edge computing platforms, recommending companies like Yingweike and Meige Intelligent [14]. Market Review - The communication sector has seen an increase, with optical communications performing particularly well, as evidenced by significant stock price increases for companies like Tianfu Communication and Zhongji Xuchuang [16][17]. Computing Power Demand - The report emphasizes that the new operational modes of AI agents lead to a dramatic increase in token consumption, necessitating high concurrency and continuous online capabilities from computing services [5][25]. - Major cloud providers like Google Cloud and Amazon AWS have announced price increases for their services, indicating a shift from a long-term trend of decreasing prices [10][23]. Key Companies and Performance - Zhongji Xuchuang and Xinyi Sheng have shown strong growth, with Zhongji Xuchuang maintaining its leading position in the industry [25]. - The report recommends monitoring the performance of companies involved in the computing power supply chain, including those in optical modules and liquid cooling sectors [25].

Group 1: Industry Overview - In 2025, the express delivery volume growth slowed due to factors like e-commerce tax and "anti-involution" policies, with industry revenue per ticket initially declining before recovering[2] - The express delivery industry is expected to see a business volume growth rate of 8% in 2026, down from 14% in 2025[48] Group 2: Investment Strategies - Three main investment lines for 2026 are identified: overseas expansion, anti-involution, and cyclical recovery[2] - The overseas expansion line is driven by explosive growth in overseas e-commerce GMV, with Jitu Express expected to benefit significantly, achieving a 68% year-on-year growth in Southeast Asia in 2025[19] - The anti-involution line highlights the increasing market share and profitability of leading express companies, with recommendations to focus on Zhongtong Express, YTO Express, and Shentong Express[2] Group 3: Key Companies - Jitu Express is projected to maintain a strong growth trajectory, with Southeast Asia revenue increasing by approximately 30% to $1.97 billion in the first half of 2025, and adjusted EBIT growing by 74%[19] - SF Express is expected to benefit from a mild domestic economic recovery, with its business structure adjustments showing positive results, and its valuation at historical lows[3] Group 4: Market Dynamics - The express delivery market is experiencing significant differentiation, with leading companies gaining market share and profitability amid a backdrop of regulatory changes aimed at curbing price wars[41] - The competitive landscape is shifting, with major players like Zhongtong and YTO expected to outperform in terms of growth and profitability due to their superior management capabilities and network resilience[48]

Revenue and Expenditure Overview - In 2025, total fiscal revenue reached 21.6 trillion, completing 98.3% of the initial budget, while total expenditure was 28.74 trillion, completing 96.8% of the budget, marking the lowest completion rate on record[3] - December 2025 fiscal revenue was 1.55 trillion, down 25% year-on-year, with a significant drop of 24.9 percentage points from the previous month[4] - December fiscal expenditure was 3.89 trillion, down 1.8% year-on-year, continuing a negative growth trend for three consecutive months[11] Structural Insights - Central government expenditure grew by 5.7% year-on-year, significantly outpacing local government expenditure, which only grew by 0.2%[3] - The proportion of general fiscal expenditure directed towards people's livelihoods increased to 38%, up 1.3 percentage points from 2024, while infrastructure-related expenditure decreased to 19.5%, down 1.9 percentage points[3] Future Projections - For 2026, it is anticipated that fiscal expansion will remain at a level comparable to 2025, with a focus on "investing in people" and an early release of "national subsidies" to stimulate economic growth[6] - A projected 580 billion in carryover funds from 2025 is expected to supplement the 2026 fiscal budget[2] Tax Revenue Expectations - A rebound in prices, particularly a narrowing decline in the Producer Price Index (PPI), is expected to increase tax revenue by approximately 1.4 percentage points, translating to an additional 2.4 trillion in tax revenue[8] - The PPI is forecasted to improve from -2.6% to -0.4% in 2026, which will positively impact tax bases, especially for value-added tax and corporate income tax[8] Short-term Considerations - Key areas of focus include local government GDP targets, potential carryover funds, and the performance of the economy in the first quarter of 2026, particularly in real estate and infrastructure[8]

Investment Rating - The report maintains a "Buy" rating for several key companies in the steel sector, including Hualing Steel, Nanjing Steel, Baosteel, and New Steel [8]. Core Insights - The steel industry is experiencing a slight decline in daily molten iron production, with the average dropping to 227.9 thousand tons, while steel production has seen a minor increase [13]. - Total steel inventory has expanded, with a week-on-week increase of 1.7%, indicating a growing supply in the market [23]. - Apparent consumption of steel has weakened slightly, with rebar demand decreasing by 13.4% week-on-week [39]. - Iron ore prices are trending downwards, influenced by increased shipments from Australia and Brazil, alongside rising port inventories [48]. - The current steel price index has decreased by 0.2% week-on-week, reflecting a general weakening in the market [72]. Summary by Sections 1. Supply - Daily molten iron production has decreased by 0.2 thousand tons to 227.9 thousand tons, with a slight recovery in steel production [13]. - The capacity utilization rate of 247 steel mills is at 85.5%, down 0.1 percentage points week-on-week but up 0.8 percentage points year-on-year [17]. 2. Inventory - The total inventory of five major steel products has increased by 1.7% week-on-week, with social inventory rising to 890.7 thousand tons [25]. - Rebar social inventory has increased by 7.7% week-on-week, while hot-rolled coil inventory has decreased by 1.0% [25]. 3. Demand - Apparent consumption of five major steel products has decreased by 1.0% week-on-week, with rebar consumption down by 4.9% [49]. - Weekly average transaction volume for construction steel has dropped to 67 thousand tons, a decline of 13.4% [41]. 4. Raw Materials - Iron ore prices have weakened, with the Platts 62% iron ore price index at $103.2 per ton, down 1.4% week-on-week [58]. - The total port inventory of iron ore has increased by 1.5% week-on-week, indicating a supply surplus [58]. 5. Prices and Profits - The comprehensive steel price index has decreased to 121.6, reflecting a 0.2% decline week-on-week [72]. - The current profit margins for long-process rebar and hot-rolled coils are negative, indicating cost pressures in the industry [74].

Investment Rating - The investment rating for the C-REITs sector is maintained at "Add" [6] Core Insights - The C-REITs secondary market is showing signs of gradual warming, with the first batch of commercial real estate REITs having been submitted for approval [3][14] - The overall market performance for C-REITs has been characterized by a slight upward trend, with a total market capitalization of approximately 228.71 billion yuan and an average market value of about 2.9 billion yuan per REIT [3][13] - The report highlights three main investment strategies: focusing on policy themes and quality undervalued projects, recognizing the market's acknowledgment of the benefits of affordable housing, and paying attention to the expansion of REITs alongside new issuances [4] REITs Index Performance - The CSI REITs total return index increased by 0.47% this week, closing at 1052.4 points, while the CSI REITs index rose by 0.35%, closing at 809.6 points [11][12] - Year-to-date, the CSI REITs total return index has risen by 4.22% [2][11] C-REITs Secondary Market Performance - The secondary market for C-REITs has shown a fluctuating upward trend, with 41 REITs rising, 36 falling, and one remaining stable this week, resulting in an average weekly increase of 0.4% [3][13] - The energy and transportation sectors performed particularly well, while the data center and logistics sectors experienced a pullback [3][13] REITs Valuation Performance - The internal rate of return (IRR) for listed REITs has shown significant differentiation, with the top three being Guangzhou Guanghe REIT (10.9%), China Communications Construction REIT (9.5%), and E Fund Guangkai Industrial Park REIT (9.2%) [4] - The price-to-net asset value (P/NAV) ratio for REITs ranges from 0.7 to 1.9, with the highest being Huaxia Anbo Warehouse REIT (1.9) and the lowest being E Fund Guangkai Industrial Park REIT (0.7) [4] Investment Recommendations - The report suggests focusing on high-energy city consumption growth, especially under the theme of expanding domestic demand, and identifying quality assets in the secondary market [4] - It also recommends considering the resilience of assets and timing investments based on market prices and P/NAV ratios for affordable housing and other weak-cycle assets [4]

1. Report Industry Investment Rating No relevant information provided. 2. Core View of the Report In Q4 2025, against the backdrop of a strong equity market, there was still demand for "Fixed - Income +" allocation. The convertible bond market's outstanding balance increased slightly, while the proportion of convertible bonds held by institutions decreased. Some types of funds increased their positions in convertible bonds, while others reduced them. Convertible bond funds saw a decline in their convertible bond positions and an increase in leverage, with their average returns in Q4 2025 lower than the CSI Convertible Bond Index. There were significant increases in positions in industries such as petroleum and petrochemicals, national defense and military industry, while some industries like communication and non - ferrous metals were significantly reduced [1][3]. 3. Summary According to the Directory 3.1 Public Fund Convertible Bond Holdings - **Overall situation**: In Q4 2025, the scale of convertible bonds held by public funds accounted for 57.74% of the total convertible bond market value, a decrease of 4.08 pcts compared to Q3. The position decreased slightly by 0.05 pcts. The outstanding balance of the convertible bond market was 533.89 billion yuan, a 4.30% increase compared to Q3 2025. The market value of convertible bonds held by public funds was 308.251 billion yuan [1][8]. - **Fund type structure**: The fund types that held more convertible bonds were secondary bond funds (36.41%), convertible bond funds (36.29%), primary bond funds (21.90%), partial - debt hybrid funds (3.30%), and flexible allocation funds (2.10%). Compared to Q3 2025, secondary bond funds and primary bond funds increased their positions in convertible bonds, with the market value of convertible bonds held by secondary bond funds increasing by 3.963 billion yuan (+3.72%) and that of primary bond funds increasing by 1.639 billion yuan (+2.53%). Flexible allocation funds also increased by 0.088 billion yuan (+1.40%). Convertible bond funds and partial - debt hybrid funds reduced their positions, with the market value of convertible bonds held by convertible bond funds decreasing by 10.996 billion yuan (-9.07%) and that of partial - debt hybrid funds decreasing by 2.160 billion yuan (-17.75%) [1][13]. - **Funds with large - scale holdings**: As of Q4 2025, there were 1,921 public funds holding convertible bonds, with a total market value of 308.251 billion yuan. Among them, 62 funds held convertible bonds with a market value of over 1 billion yuan, with a total market value of 213.525 billion yuan, accounting for 69.27% of the market value of public funds investing in convertible bonds, a 0.23% decrease compared to Q3. 281 funds held convertible bonds with a market value of over 100 million yuan, with a total market value of 288.495 billion yuan, accounting for 93.59% of the market value of public funds investing in convertible bonds, a 0.24% increase compared to Q3 2025 [2][18]. 3.2 Convertible Bond Fund Convertible Bond Holdings - **Market value change**: As of Q4 2025, there were 40 convertible bond funds, holding a total market value of convertible bonds of 110.209 billion yuan, a decrease of 10.996 billion yuan compared to Q3 2025, a 9.07% decrease [2][22]. - **Position and leverage change**: The convertible bond position of convertible bond funds decreased from 87.17% in Q3 2025 to 86.82%, a decrease of 0.35 pcts. The leverage ratio increased from 135.17% to 142.34%, an increase of 7.17 pcts [2][25]. - **Return performance**: In Q4 2025, the average annualized return of the CSI Convertible Bond Index was 6.03%, and the average annualized return of convertible bond funds was 3.69%. There were 28 convertible bond funds with positive returns, among which Baoying Rongyuan Convertible Bond A had the best return of 16.41%, and Huatai - PineBridge Convertible Bond A also performed well with a return of 15.31%. 15 convertible bond funds outperformed the CSI Convertible Bond Index and the convertible bond fund index, with a win - rate of 37.5% [3][28]. - **Industry position adjustment**: Public funds significantly increased their positions in industries such as petroleum and petrochemicals, national defense and military industry, steel, public utilities, electronics, and machinery. The market value of convertible bonds in the petroleum and petrochemical industry held by public funds increased by 59.23% compared to Q3 2025, and that in the national defense and military industry increased by 30.40%. Public funds held a total of 8.224 billion yuan of convertible bonds in the steel industry. In terms of reduction, industries such as communication, non - ferrous metals, building materials, automobiles, and media had significant decreases in the market value of convertible bonds held by public funds in Q4 2025 [3][33]. - **Top - holding convertible bonds**: The top five heavy - holding convertible bonds of convertible bond funds were Industrial Bank Convertible Bond, 25 Treasury Bond 08, Shanghai Bank Convertible Bond, Wens Convertible Bond, and 25 Treasury Bond 01. The top five heavy - holding individual bonds held by 38 convertible bond funds in Q4 2025 involved a total of 67 bonds [4][35].

Recent Key Events - Tencent and Baidu announced their Spring Festival red envelope distribution plans, with Tencent distributing 1 billion RMB and Baidu offering 500 million RMB in red envelopes [1][8] - Alibaba launched the Qwen3-Max-Thinking model, which has over 1 trillion parameters and 36 trillion tokens of pre-training data, marking it as their largest and most capable model to date [2][9] - The U.S. and China are actively promoting the development of the autonomous driving industry, with significant policy initiatives and pilot programs being launched [3][10] Market Situation - The Hang Seng Index rose from 25,631 points at the end of December 2025 to 27,827 points by January 28, 2026, reflecting an increase of 8.6% [11] - The Hang Seng Technology Index increased by 7.0% during the same period, with significant gains in sectors such as durable consumer goods and semiconductors [15][11] Current Investment Recommendations - Focus on growth-oriented real estate and energy companies such as Beike, China Qinfa, and Power Development [21] - Pay attention to resource-rich and cost-advantaged non-ferrous metal companies like China Aluminum [21] - Consider internet companies benefiting from AI model iterations and ecosystem improvements, including Alibaba, Tencent, and Kuaishou [21] - Look for undervalued consumer electronics component firms with strong growth potential, such as Q Technology and AAC Technologies [21] - Monitor Robotaxi operators like WeRide and Pony.ai, which are expected to benefit from the high demand for autonomous driving [21] Company-Specific Insights - Beike (2423.HK) is positioned as a restructuring force in the brokerage service industry, with significant growth in both new and second-hand housing transactions expected [22] - China Qinfa (0866.HK) is set to benefit from improved coal quality and rising coal prices, with a focus on expanding its operations in Indonesia [24][27] - Power Development (1277.HK) is expanding its overseas operations and has secured a partnership for a heavy mineral project, which is expected to significantly boost its profitability [30][31] - China Aluminum (2600.HK) maintains a strong position in the electrolytic aluminum market, with a comprehensive industry chain and improved profitability due to rising aluminum prices [34][36] - Alibaba (9988.HK) is enhancing its AI capabilities with the Qwen model and is seeing growth in its cloud services and e-commerce segments [38][39] - Tencent (0700.HK) is launching new AI-driven social features and has reported strong revenue growth, particularly in gaming and advertising [43][44]

- The "Timing Radar Six-Facet Chart" model is constructed based on multi-dimensional indicators including liquidity, economic fundamentals, valuation, capital flow, technical trends, and crowding sentiment. It aggregates 21 indicators into four categories: "Valuation Cost-Effectiveness," "Macroeconomic Fundamentals," "Capital & Trend," and "Crowding & Reversal," generating a comprehensive timing score ranging from [-1, 1] to assess market conditions [1][6][9] - **Liquidity Factors**: - **Monetary Direction Factor**: Calculated using the average change in central bank monetary policy tool rates and short-term market rates over the past 90 days. If the factor > 0, monetary policy is deemed expansionary; if < 0, it is deemed contractionary. Current score: 1 [12][14] - **Monetary Strength Factor**: Based on the "interest rate corridor" concept, calculated as deviation = DR007/7-year reverse repo rate - 1, smoothed and standardized using z-score. If the factor < -1.5 standard deviations, it indicates a 120-day future easing environment, scoring 1; if > 1.5 standard deviations, scoring -1. Current score: 0 [15][16] - **Credit Direction Factor**: Derived from monthly long-term loan data, calculated as the year-on-year change in the past 12 months' increment. If the factor rises compared to three months ago, it scores 1; otherwise, -1. Current score: 1 [18][20] - **Credit Strength Factor**: Captures whether credit metrics significantly exceed or fall short of expectations, calculated as (new RMB loans - median forecast)/forecast standard deviation. If the factor > 1.5 standard deviations, it scores 1; if < -1.5 standard deviations, it scores -1. Current score: -1 [22][23] - **Economic Factors**: - **Growth Direction Factor**: Based on PMI data (manufacturing, non-manufacturing, and Caixin manufacturing PMI), calculated as the year-on-year change in the 12-month average. If the factor rises compared to three months ago, it scores 1; otherwise, -1. Current score: -1 [26][28] - **Growth Strength Factor**: Captures whether growth metrics significantly exceed or fall short of expectations, calculated as (PMI - median forecast)/forecast standard deviation. If the factor > 1.5 standard deviations, it scores 1; if < -1.5 standard deviations, it scores -1. Current score: 1 [29][31] - **Inflation Direction Factor**: Calculated as 0.5 × smoothed CPI year-on-year + 0.5 × raw PPI year-on-year. If the factor decreases compared to three months ago, it scores 1; otherwise, -1. Current score: -1 [32][33] - **Inflation Strength Factor**: Captures whether inflation metrics significantly exceed or fall short of expectations, calculated as the average of CPI and PPI forecast deviations. If the factor < -1.5, it scores 1; if > 1.5 standard deviations, it scores -1. Current score: -1 [35][37] - **Valuation Factors**: - **Shiller ERP**: Calculated as 1/Shiller PE - 10-year government bond yield, standardized using z-score over the past six years. Current score: -0.10 [38][42] - **PB**: Processed as PB × (-1), standardized using z-score over the past six years, truncated at ±1.5 standard deviations. Current score: -0.75 [40][41] - **AIAE**: Represents aggregate investor allocation to equities, calculated as total market cap/(total market cap + total debt), standardized using z-score over the past six years. Current score: -1.00 [43][44] - **Capital Flow Factors**: - **Margin Financing Increment**: Calculated as the difference between 120-day average increment and 240-day average increment of margin financing balance. If the short-term increment exceeds the long-term increment, it scores 1; otherwise, -1. Current score: 1 [46][48] - **Turnover Trend**: Calculated as log turnover moving average distance = ma120/ma240 - 1. If the maximum distance of 10, 30, and 60 days is positive, it scores 1; if the minimum distance is negative, it scores -1. Current score: 1 [49][50] - **China Sovereign CDS Spread**: Represents overseas investors' pricing of China's economic and sovereign credit risk. If the smoothed 20-day difference of CDS spread < 0, it scores 1; otherwise, -1. Current score: 1 [52][54] - **Overseas Risk Aversion Index**: Captures overseas market risk preference using Citi RAI Index. If the smoothed 20-day difference < 0, it scores 1; otherwise, -1. Current score: -1 [55][56] - **Technical Factors**: - **Price Trend**: Calculated as moving average distance (ma120/ma240 - 1). Trend direction scores 1 if > 0, otherwise -1. Trend strength scores 1 if max(20) = max(60), otherwise -1. Comprehensive score = (direction score + strength score)/2. Current score: 1 [57][59] - **New Highs and Lows**: Calculated as the moving average of the difference between new lows and new highs among index constituents over the past year. If the smoothed difference > 0, it scores -1; otherwise, 1. Current score: -1 [60][62] - **Crowding Sentiment Factors**: - **Option Implied Premium**: Derived from the implied premium of options based on put-call parity. If 50ETF 5-day return > 0 and percentile > 70%, it scores -1; otherwise, 1. Current score: -1 [64][68] - **Option VIX**: Reflects expected volatility of options. If 50ETF 5-day return > 0 and percentile > 70%, it scores -1; otherwise, 1. Current score: -1 [65][67] - **Option SKEW**: Reflects expected skewness of options. If 50ETF 5-day return > 0 and percentile < 30%, it scores -1; otherwise, 1. Current score: -1 [69][70] - **Convertible Bond Pricing Deviation**: Calculated as (convertible bond price/model price - 1), standardized using z-score over the past three years. Higher deviation indicates higher crowding sentiment, scoring lower. Current score: -1 [71][72] - **Factor Testing Results**: - Liquidity factors: Monetary direction (1), Monetary strength (0), Credit direction (1), Credit strength (-1) [12][15][18][22] - Economic factors: Growth direction (-1), Growth strength (1), Inflation direction (-1), Inflation strength (-1) [26][29][32][35] - Valuation factors: Shiller ERP (-0.10), PB (-0.75), AIAE (-1.00) [38][40][43] - Capital flow factors: Margin financing increment (1), Turnover trend (1), China Sovereign CDS spread (1), Overseas risk aversion index (-1) [46][49][52][55] - Technical factors: Price trend (1), New highs and lows (-1) [57][60] - Crowding sentiment factors: Option implied premium (-1), Option VIX (-1), Option SKEW (-1), Convertible bond pricing deviation (-1) [64][65][69][71]

Investment Rating - The report suggests a positive investment outlook for the liquor and food sectors, particularly highlighting the potential for growth during the upcoming Spring Festival season [1][2]. Core Insights - The report emphasizes the initiation of the Spring Festival peak season for liquor sales, with leading brands like Moutai showing significant improvements in sales and pricing, indicating a recovery in market sentiment and expectations [1][2]. - In the food sector, there is an anticipated boost in demand due to pre-holiday stocking, with specific focus on snack foods and beverages as key growth areas [1][2]. Summary by Sections Liquor Sector - The report indicates that the liquor market is entering a peak season, with Moutai leading the way in sales and price recovery, driven by increased demand and channel reforms [2]. - Other notable brands such as Guizhou Moutai, Ancient Well, and Luzhou Laojiao are recommended for short-term investment due to their strong performance and market positioning [1]. Food Sector - The food sector is expected to benefit from pre-holiday stocking, with companies like Anjuke and Qiaqia Foods positioned to capitalize on the festive demand [2][4]. - Anjuke is focusing on new product launches and expanding into overseas markets, while Qiaqia Foods is set to improve profitability in 2026 due to lower raw material costs [4][3]. Growth Opportunities - The report identifies growth opportunities in the snack and beverage segments, with specific companies such as H&H International Holdings and Nongfu Spring highlighted for their potential [1][2]. - The emphasis is placed on the recovery of the restaurant and dairy sectors, with companies like Yili and Qingdao Beer expected to show positive performance [1][2].