Quantitative Factors and Models Summary Quantitative Factors and Construction Methods 1. **Factor Name**: Market Style Factor **Construction Idea**: This factor tracks the market's preference for small-cap versus large-cap stocks and growth versus value stocks over the observed period **Construction Process**: - The factor is divided into two dimensions: size (small-cap vs. large-cap) and style (growth vs. value) - The factor measures the relative performance of small-cap stocks compared to large-cap stocks and growth stocks compared to value stocks - Observations include the directional bias (e.g., small-cap preference) and the volatility of these style preferences **Evaluation**: The factor indicates a market preference for small-cap and growth stocks, but with increased volatility, suggesting instability in market style trends [11][12] 2. **Factor Name**: Market Structure Factor **Construction Idea**: This factor evaluates the dispersion and concentration of returns across industries and stocks to assess market structure dynamics **Construction Process**: - Industry excess return dispersion is calculated to measure the spread of returns across different sectors - Metrics such as the proportion of rising constituent stocks and the turnover concentration of the top 100 stocks and top 5 industries are tracked - Changes in these metrics are used to infer market structure stability and concentration trends **Evaluation**: The factor shows a decline in industry return dispersion and a slight increase in stock and industry concentration, indicating a more concentrated market structure [11][12] 3. **Factor Name**: Market Activity Factor **Construction Idea**: This factor measures market activity through volatility and turnover rates **Construction Process**: - Index volatility is calculated to assess market fluctuations - Turnover rates, particularly for indices like the SSE 50, are tracked to gauge trading activity - Observations include changes in these metrics over time **Evaluation**: The factor reveals a slight increase in market volatility but a continued decline in turnover rates, especially for the SSE 50, indicating reduced market activity [11][12] 4. **Factor Name**: Commodity Market Factors **Construction Idea**: These factors analyze trends, momentum, volatility, and liquidity in commodity markets **Construction Process**: - **Trend Strength**: Tracks the continuation of trends in sectors like energy and metals - **Basis Momentum**: Measures the momentum of basis changes, with specific focus on sectors like agriculture and metals - **Volatility**: Assesses the level of price fluctuations in different commodity sectors - **Liquidity**: Evaluates the trading activity and ease of transactions in commodity markets **Evaluation**: The factors highlight strong trends in energy and metals, low basis momentum in agriculture, high volatility in energy, and strong liquidity in energy and metals [23][27] 5. **Factor Name**: Option Market Factors **Construction Idea**: These factors assess market sentiment and risk expectations through option pricing metrics **Construction Process**: - **Implied Volatility**: Tracks the implied volatility of options on indices like SSE 50 and CSI 1000 - **Skewness**: Measures the relative pricing of put options versus call options to infer market sentiment - **Open Interest**: Monitors changes in open interest to gauge market positioning **Evaluation**: The factors suggest stable short-term sentiment but highlight potential downside risks for small-cap stocks based on skewness and rising open interest in put options [33][34] 6. **Factor Name**: Convertible Bond Market Factors **Construction Idea**: These factors analyze valuation and liquidity dynamics in the convertible bond market **Construction Process**: - **Valuation Metrics**: Tracks metrics like the premium rate of bonds near par value and the proportion of low-premium bonds - **Liquidity Metrics**: Monitors trading volume and credit spreads **Evaluation**: The factors indicate a slight recovery in valuation metrics but a rise in low-premium bonds, with stable trading volumes and narrowing credit spreads [35][37] Factor Backtesting Results 1. **Market Style Factor**: - Small-cap preference observed - Growth style preference observed - Increased volatility in both dimensions [11][12] 2. **Market Structure Factor**: - Industry return dispersion decreased - Stock and industry concentration slightly increased [11][12] 3. **Market Activity Factor**: - Market volatility slightly increased - Turnover rates decreased, especially for SSE 50 [11][12] 4. **Commodity Market Factors**: - Strong trends in energy and metals - Low basis momentum in agriculture - High volatility in energy - Strong liquidity in energy and metals [23][27] 5. **Option Market Factors**: - Stable implied volatility for SSE 50 and CSI 1000 - Skewness favors put options for CSI 1000 - Rising open interest in put options for CSI 1000 [33][34] 6. **Convertible Bond Market Factors**: - Premium rates near par value slightly recovered - Proportion of low-premium bonds increased - Trading volumes stable - Credit spreads narrowed [35][37]

Report Summary 1. Report Industry Investment Rating No investment rating information is provided in the report. 2. Core View The report indicates that on June 3, 2025, all four major stock index futures contracts for the current month rose. The overall trading volume of stock index futures declined, showing a decrease in investors' trading enthusiasm, while the overall open interest increased. The market is currently in a state of waiting for new drivers, with a mainly oscillating pattern [1][2]. 3. Summary by Relevant Catalogs 3.1. Index Futures Data Tracking - **Price and Change**: On June 3, all four major index futures' current - month contracts rose. IF increased by 0.11%, IH by 0.05%, IC by 0.33%, and IM by 0.68%. The underlying indices, such as the CSI 300, SSE 50, CSI 500, and CSI 1000, also went up [1]. - **Trading Volume and Open Interest**: The total trading volume of index futures decreased. IF decreased by 13,852 lots, IH by 9,296 lots, IC by 9,090 lots, and IM by 23,121 lots. The total open interest increased. IF increased by 5,468 lots, IH by 1,863 lots, IC by 6,257 lots, and IM by 3,188 lots [2]. 3.2. Top 20 Member Position Changes - The position changes of the top 20 members in different index futures contracts vary. For example, in IF contracts, the long - order and short - order position changes are different in each contract month; some data for certain contracts are not disclosed [5]. 3.3. Trend Intensity and Important Drivers - **Trend Intensity**: The trend intensity of IF and IH is 1, and that of IC and IM is also 1, indicating a neutral trend [6]. - **Important Drivers**: During the 2025 Dragon Boat Festival, domestic tourist trips reached 119 million, a year - on - year increase of 5.7%, and domestic tourism spending was 42.73 billion yuan, a year - on - year increase of 5.9%. The Ministry of Foreign Affairs responded to issues such as US chip export controls and EU restrictions on Chinese enterprises' participation in medical device tenders. The A - share market showed a pattern of opening lower and closing higher, with the financial sector leading the rise [6].

Report Overview - The report is about the egg market on June 4, 2025, provided by Guotai Junan Futures [1] Investment Rating - No investment rating is provided in the report Core View - The report presents the latest data on egg fundamentals and the industrial chain, but no clear core view is explicitly stated [1] Summary by Catalog 1. Fundamental Tracking - **Futures Data**: The closing price of egg2507 is 2,897 yuan/500 kilograms, with a daily decline of 1.16%, and trading volume decreased by 21,187 and open interest decreased by 8,968. The closing price of egg2509 is 3,722 yuan/500 kilograms, with a daily decline of 0.80%, and trading volume increased by 3,141 and open interest increased by 1,374 [1] - **Spread Data**: The egg 7 - 8 spread is -676 (previous day: -680), and the egg 7 - 9 spread is -825 (previous day: -819) [1] - **Spot Price Data**: The latest spot prices in Liaoning, Hebei, Shanxi, and Hubei are 2.90 yuan/jin, 2.58 yuan/jin, 2.90 yuan/jin, and 3.02 yuan/jin respectively. The previous day's prices were 2.95 yuan/jin, 2.58 yuan/jin, 3.00 yuan/jin, and 2.96 yuan/jin respectively [1] - **Industrial Chain Data**: The latest corn spot price is 2,316 yuan/ton (unchanged from the previous day), the latest soybean meal spot price is 2,900 yuan/ton (down 30 yuan/ton from the previous day), and the latest Henan pig price is 14.35 yuan/kg (down 0.10 yuan/kg from the previous day) [1] 2. Trend Intensity - The trend intensity is 0, indicating a neutral view. The range of trend intensity is an integer in the [-2, 2] interval, where -2 means most bearish and 2 means most bullish [1]

Report Summary 1. Report Industry Investment Rating - The trend strength is 0, indicating a neutral stance on the market, with the range of trend strength being integers in the [-2, 2] interval. -2 represents the most bearish view, and 2 represents the most bullish view [2] 2. Core View of the Report - Although there are current market issues such as the inverted price difference between fat pigs in the north and south, a decrease in group piglet sales, and a slight increase in pen pressure in May, price increases have exceeded expectations, leading to continued inventory accumulation. The near - term contradictions have not reached the release stage. The macro - sentiment has cooled, and capital interference has decreased. The trading logic has switched to the industrial logic. Attention should be focused on the arbitrage strategy for the valuation deviation of the far - month inter - month spread from the normal state. In the medium - to - long - term, continuously layout the 11 - 1 reverse spread and pay attention to stop - loss and take - profit. The short - term support level for the LH2509 contract is 13,000 yuan/ton, and the pressure level is 15,000 yuan/ton [3] 3. Summary by Related Catalogs 3.1 Fundamental Tracking - **Spot Prices**: The price of Henan's live pig spot is 15,000 yuan/ton, Sichuan's is 14,550 yuan/ton, and Guangdong's is 15,190 yuan/ton, with a year - on - year decrease of 50 yuan/ton in Guangdong [1] - **Futures Prices**: The price of the live pig 2507 contract is 13,575 yuan/ton, with a year - on - year increase of 50 yuan/ton [1] 3.2 Market Logic - **Trading Logic**: The trading logic has switched to the industrial logic. Focus on the arbitrage strategy for the valuation deviation of the far - month inter - month spread from the normal state. Continuously layout the 11 - 1 reverse spread in the medium - to - long - term and pay attention to stop - loss and take - profit [3] - **Contract Price Ranges**: The short - term support level for the LH2509 contract is 13,000 yuan/ton, and the pressure level is 15,000 yuan/ton [3] 3.3 Futures Trading Data | Contract | Volume (compared to the previous day) | Open Interest (compared to yesterday) | | ---- | ---- | ---- | | Live Pig 2507 | 3,265 (-1,782) | 28,942 (-950) | | Live Pig 2509 | 13,932 (-5,014) | 71,262 (-92) | | Live Pig 2511 | 1,876 (-2,431) | 29,684 (+74) | [3] 3.4 Futures Price Difference Data | Price Difference Type | Price Difference Value | Year - on - Year Change | | ---- | ---- | ---- | | Live Pig 2507 Basis | 35 | - | | Live Pig 2509 Basis | 295 | - | | Live Pig 2511 Basis | 5 | - | | Live Pig 7 - 9 Spread | 1,425 | -50 | | Live Pig 9 - 11 Spread | 1,115 | -15 | [3]

Quantitative Factors and Construction Methods 1. Factor Name: Market Style Factors - **Construction Idea**: The market style factors track the balance and volatility between different market styles, such as large-cap vs. small-cap and value vs. growth[11][13] - **Construction Process**: - **Style Balance**: Measure the relative performance of large-cap vs. small-cap stocks and value vs. growth stocks to determine the market's style preference[11] - **Style Volatility**: Calculate the fluctuations in the relative performance of these styles over time to assess the stability of the market's style preference[11] - **Evaluation**: The market style factors showed a balanced preference between large-cap and small-cap stocks, as well as between value and growth stocks. Additionally, the volatility of these styles continued to decline, indicating a more stable market environment[11][13] 2. Factor Name: Market Structure Factors - **Construction Idea**: These factors analyze the dispersion of returns, sector rotation, and trading concentration to understand the structural dynamics of the market[11][13] - **Construction Process**: - **Return Dispersion**: Measure the excess return dispersion across industry indices to evaluate the variability in sector performance[11] - **Sector Rotation**: Assess the speed of sector rotation by tracking changes in sector leadership over time[11] - **Trading Concentration**: Calculate the proportion of trading volume concentrated in the top 100 stocks and the top 5 industries to gauge market concentration[11] - **Evaluation**: The market structure factors indicated a decline in return dispersion, slower sector rotation, and reduced trading concentration, suggesting a more evenly distributed market environment[11][13] 3. Factor Name: Market Activity Factors - **Construction Idea**: These factors measure the overall activity and liquidity of the market through volatility and turnover rates[12][13] - **Construction Process**: - **Volatility**: Calculate the index-level volatility to assess market stability[12] - **Turnover Rate**: Measure the turnover rate of the market to evaluate trading activity[12] - **Evaluation**: The market activity factors showed a decline in both volatility and turnover rates, reflecting reduced market activity, likely influenced by the holiday period[12][13] 4. Factor Name: Commodity Market Factors - **Construction Idea**: These factors analyze the performance, momentum, and liquidity of various commodity sectors[27][30] - **Construction Process**: - **Trend Strength**: Measure the strength of price trends in different commodity sectors, such as energy, metals, and agriculture[27] - **Basis Momentum**: Calculate the basis momentum, particularly for the metals sector, to assess the relative strength of futures prices compared to spot prices[27][30] - **Volatility**: Track the volatility levels across commodity sectors to evaluate risk[27][30] - **Liquidity**: Measure the liquidity of commodity sectors to assess trading ease[27][30] - **Evaluation**: The commodity market factors showed mixed performance, with strong trends in energy and metals, weaker trends in agriculture, and high volatility across sectors. Liquidity remained stable overall[27][30] 5. Factor Name: Options Market Factors - **Construction Idea**: These factors analyze the implied volatility and skewness of options to infer market sentiment and expectations[35] - **Construction Process**: - **Implied Volatility**: Measure the implied volatility levels of options on major indices, such as the SSE 50 and CSI 1000, to gauge market uncertainty[35] - **Skewness**: Analyze the skewness of call and put options to understand market expectations for upward or downward movements[35] - **Evaluation**: The options market factors indicated a divergence in sentiment, with increased optimism for small-cap stocks (CSI 1000) and reduced optimism for large-cap stocks (SSE 50). This suggests a potential shift in market preference post-holiday[35] 6. Factor Name: Convertible Bond Market Factors - **Construction Idea**: These factors evaluate the valuation and trading activity of the convertible bond market[38] - **Construction Process**: - **Valuation**: Measure the average conversion premium of convertible bonds to assess their relative attractiveness[38] - **Trading Activity**: Track the trading volume and turnover in the convertible bond market to evaluate market interest[38] - **Evaluation**: The convertible bond market factors showed a slight increase in valuation, with trading activity continuing to recover, indicating improving market sentiment[38] --- Factor Backtesting Results 1. Market Style Factors - **Style Balance**: Balanced between large-cap and small-cap, as well as value and growth[11][13] - **Style Volatility**: Continued decline in volatility, indicating stability[11][13] 2. Market Structure Factors - **Return Dispersion**: Declined, indicating less variability in sector performance[11][13] - **Sector Rotation**: Slowed down, suggesting reduced changes in sector leadership[11][13] - **Trading Concentration**: Decreased, reflecting a more evenly distributed market[11][13] 3. Market Activity Factors - **Volatility**: Declined, indicating reduced market risk[12][13] - **Turnover Rate**: Decreased, reflecting lower trading activity[12][13] 4. Commodity Market Factors - **Trend Strength**: Strong in energy and metals, weak in agriculture[27][30] - **Basis Momentum**: Highest in metals, declined in other sectors[27][30] - **Volatility**: High across all sectors[27][30] - **Liquidity**: Stable overall[27][30] 5. Options Market Factors - **Implied Volatility**: Increased for both SSE 50 and CSI 1000, indicating higher uncertainty[35] - **Skewness**: Positive for CSI 1000 (small-cap optimism), negative for SSE 50 (large-cap caution)[35] 6. Convertible Bond Market Factors - **Valuation**: Slight increase in average conversion premium[38] - **Trading Activity**: Continued recovery in trading volume[38]