成文日期：20250915 报告周期:周报 十字品种:菜 研究员：漆建华（从业资格号：F03099134;投资咨询从业证书号：Z0017731) 相互用 - The Free 核心观点： 当周（20250908-0912）菜粕期货价格呈现高位震荡态势。菜 粕现货价格震荡上涨，贸易商仍有惜售情绪，下游刚需采购为主。 油厂开机率偏低,压榨菜粕库存下降,市场继续关注后期中加贸易 关系及菜籽原料供应情况。 1 期货市场 1.1 合约价格 当周菜粕期货价格整体呈现震荡态势。截至周五，主力合约菜 粕 2601（rm2601）收盘至 2531 点，最高价 2572 点，最低价 2522 点,持仓 402900 手,较上周增加 6326手,成交量 157.50 万手,较 上周减少 7.45 万手。 1.2 品种行情 菜粕期货周度行情，各合约均有不同涨跌，品种持仓量 658940 研究咨询：028 6130 3163 邮箱：institute@gjgh.com.cn 投诉热线：4006821188 请务必阅读文末风险揭示及免责声明 数据来源:国金期货行情软件 手，成交量 1972034 手。 图 2:菜粕期货行情表 | 合约代 ...

成文日期: 20250908 报告周期: 日报 研究品种:菜粕 研究员：漆建华（从业资格号：F03099134；投资咨询从业证书号：Z0017731) timation 1 期货市场 1.1 合约行情 当日（20250908）期货品种菜粕 rm2601 合约高开震荡调整。 较昨日上涨 0.24%，收至 2542 点。全日成交量为 37.14 万手，持 仓量为 39.35 万手。 图 1:菜粕 rm2601 分时图 数据来源:国金期货行情软件 1.2 品种价格 菜粕期货各合约全天均有不同涨跌。品种持仓量 491406 手,较 上一交易日增加 1810 手。 图 2：菜粕期货日行情表 研究咨询：028 6130 3163 邮箱：institute@gjqh.com.cn 投诉热线：4006821188 请务必阅读文末风险揭示及免责声明 | 合约代码 | 昨结算 | 今开盘 | 最高价 | 曾低价 | 交收最 | 令结算 | 涨跌1 | 涨跌2 | 成交量(手) | 持仓量 | 増減量 | 成交额(万元) | 交割结算价 | | --- | --- | --- | --- | --- | --- | --- | - ...

报告周期:周报 成文日期: 20250908 研究员：漆建华（从业资格号：F03099134;投资咨询从业证书号：Z0017731) 相互用 - The Free 核心观点： 当周（20250901-0905）菜粕价格呈现震荡上行态势。ICE油菜 籽期货触及五个月新低,丰产预期和需求担忧打压价格,市场关注 产区新季菜籽产量预估及出口前景。菜粕现货报价小涨,贸易商仍 有挺价心态,但供应方面,菜粕供应宽松,预计菜粕将延续震荡走 势。 1期货市场 1.1 合约价格 当周菜粕期货价格整体呈现震荡态势。截至周五,主力合约菜 粕 2601（rm2601）收盘至 2550点，最高价2556点，最低价 2488 点,持仓 396574 手,较上周减少 17596 手,成交量 164.95 万手, 较上周减少 22.51 万手。 数据来源:国金期货行情软件 1.2 品种行情 图 2： 菜粕期货行情表 | 合约代码 | 周开盘 | 最高价 | 曽低价 | 周收盘 | 涨跌1 | 涨跌2 | 持仓量 | 持仓变化 | 结算价 | 成交量(手) | 成交额(亿元) | | --- | --- | --- | --- | --- | ...

Report Industry Investment Rating - No relevant information provided Core Viewpoints - In the past week, trading volume and implied volatility of commodity options decreased in almost all sectors. In the energy and chemical sector, the trading volume of p-xylene at the end of its option cycle significantly boosted the trading enthusiasm of the entire sector. The option trading volume of glass and soda ash returned to a high level. Given the pressure in the futures market, using options to capture trading opportunities is relatively safe. [5] - Due to the impact of interest rate cuts, the implied volatility of precious metal options rose in direct proportion to the futures price, and the skewness was at a relatively high level. Attention could be paid to the signal of volatility decline for right-side trading. [5] - In the agricultural products sector, the long position of cotton call options increased, and the trading volume of put options increased significantly. The volatility skewness declined from a high level. Consider selling at-the-money call options and buying out-of-the-money call options for protection. [5] Summary by Directory 1. Market Overview - The trading volume and implied volatility of commodity options decreased in almost all sectors last week. The end-of-cycle trading volume of p-xylene in the energy and chemical sector boosted the trading enthusiasm of the entire sector. The option trading volume of glass and soda ash returned to a high level. The futures market still faced pressure, and using options to capture trading opportunities was relatively safe. [5] - Affected by interest rate cuts, the implied volatility of precious metal options rose in direct proportion to the futures price, and the skewness was at a relatively high level. Attention could be paid to the signal of volatility decline for right-side trading. [5] - In agricultural products, the long position of cotton call options increased, and the trading volume of put options increased significantly. The volatility skewness declined from a high level. Consider selling at-the-money call options and buying out-of-the-money call options for protection. [5] 2. Market Data 2.1 Market Overview - Provided the quantitative data of commodity options, including the volatility, 60-day quantile, skewness, and 60-day quantile of various commodities such as corn, soybean meal, and palm oil [13]. 2.2 - 2.55 Individual Option Market Data - Detailed market data for various options were presented, including contract information, trading volume, open interest, volume PCR, open interest PCR, implied volatility, historical volatility, and skewness. For example, in the corn option market, the trading volume and open interest of call and put options, as well as their changes compared to the previous week, were provided [14][15][16].

Group 1: Implied Volatility Index and Its Calculation - The implied volatility index of financial options reflects the 30 - day implied volatility (IV) trend as of the previous trading day. The implied volatility index of commodity options is obtained by weighting the IV of the two strike - prices above and below the at - the - money option of the front - month contract, reflecting the IV change trend of the front - month contract [2] - The difference between the IV index and historical volatility (HV) indicates the relative level of IV to HV. A larger difference means higher IV relative to HV, and a smaller difference means lower IV relative to HV [2] Group 2: Implied Volatility and Historical Volatility Difference Graph - The document presents graphs showing the IV, HV, and IV - HV differences for various financial and commodity options, including 300 - stock index, 50ETF, 1000 - stock index, 500ETF, and many commodity options such as soybeans, corn, sugar, cotton, etc [3] Group 3: Implied Volatility Quantile and Volatility Spread Quantile Ranking - Implied volatility quantiles represent the current level of a variety's IV in history. A high quantile means the current IV is high, and a low quantile means the current IV is low. The volatility spread is calculated as the IV index minus the historical volatility [4] - The implied volatility quantile rankings are provided for different options, such as 50ETF with a quantile of 0.79, 300 - stock index with 0.80, iron ore with 0.37, PVC with 0.46, etc [5][7]

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - In the past week, the trading volume of commodity options increased slightly, mainly due to the increment brought by the rising volatility of the agricultural products sector. Meanwhile, the trading volume of the non - ferrous and new energy sectors decreased along with the decline of implied volatility. The implied volatility of non - ferrous sector options is at a relatively low level recently, and buying options for price reversal trading can be considered [5]. - The options of contracts such as soybean meal, corn, starch, iron ore, liquefied gas, polypropylene, PVC, plastic, palm oil, soybean No.1, soybean No.2, soybean oil, styrene, ethylene glycol, eggs, live pigs, and log 509 are about to expire. Attention should be paid to the end - of - month risks when changing contracts [5]. 3. Summary According to the Table of Contents 3.1 Market Overview - The trading volume of commodity options increased slightly last week, mainly due to the increment from the agricultural products sector. The trading volume of non - ferrous and new energy sectors decreased, and their implied volatility also declined. The implied volatility of non - ferrous sector options is at a recent low [5]. - The options of certain contracts are about to expire, and attention should be paid to the end - of - month risks [5]. 3.2 Market Data 3.2.1 Market Overview - The trading volume of the overall market this week was 8,808,344.8, with a week - on - week increase of 0.17%. The open interest was 8,996,228, with a week - on - week decrease of 0.27%. Among them, the trading volume of the agricultural products sector increased by 2.45%, that of the energy and chemical sector increased by 0.17%, that of the black sector increased by 0.4%, and that of the precious metals sector increased by 1.26%. The trading volume of the non - ferrous and new energy sectors decreased by 1.82%. The open interest of the agricultural products sector decreased by 0.1%, that of the energy and chemical sector decreased by 0.55%, that of the black sector decreased by 0.19%, and that of the non - ferrous and new energy sectors increased by 0.41% [6]. 3.2.2 - 3.2.55 Various Option Market Data - For each type of option (such as corn, soybean meal, etc.), detailed data on trading volume, open interest, volume PCR, open interest PCR, at - the - money volatility, HV - 10 days, HV - 20 days, and Skew are provided, including data for this week, last week, and their changes [12 - 44]. 3.3 Chart Analysis No relevant content provided.

1. Report Industry Investment Rating No relevant information provided. 2. Core View of the Report - The agricultural products options market shows different trends. Oilseeds and oils are in a strong and volatile state, while other categories such as agricultural by - products, soft commodities, and grains have various forms of volatile or weak market conditions. - It is recommended to construct option portfolio strategies mainly based on sellers, as well as spot hedging or covered strategies to enhance returns [2]. 3. Summary by Related Catalogs 3.1 Market Overview of Underlying Futures - Different agricultural product options have different price changes, trading volumes, and open interest changes. For example, rapeseed meal (RM2511) had a significant price increase of 6.13% with a price of 2,736, while eggs (JD2510) decreased by 0.47% to 3,197.00 [3]. 3.2 Option Factors - Volume and Open Interest PCR - The volume and open interest PCR of different options vary, which can be used to describe the strength of the option underlying market and whether there is a turning point in the underlying market. For instance, the volume PCR of soybean meal (M2511) is 0.76, and the open interest PCR is 0.59 [4]. 3.3 Option Factors - Pressure and Support Levels - From the perspective of the maximum open interest of call and put options, the pressure and support levels of different option underlyings are obtained. For example, the pressure level of soybean (A2511) is 4,300, and the support level is 4,050 [5]. 3.4 Option Factors - Implied Volatility - The implied volatility of different options shows different trends and relationships with historical volatility. For example, the implied volatility of rapeseed meal (RM2511) has a relatively large increase, with the weighted implied volatility increasing by 4.45% to 31.65% [6]. 3.5 Option Strategies and Recommendations 3.5.1 Oilseeds and Oils Options - **Soybeans (A2511)**: Directional strategy: None; Volatility strategy: Construct a neutral - biased call + put option combination strategy; Spot long - hedging strategy: Construct a long collar strategy [7]. - **Soybean Meal (M2511)**: Similar to soybeans, with specific option contracts recommended [9]. - **Palm Oil (P2510)**: Directional strategy: None; Volatility strategy: Construct a long - biased call + put option combination strategy; Spot long - hedging strategy: Construct a long collar strategy [10]. - **Peanuts (PK2510)**: Directional strategy: Construct a bearish spread combination strategy of put options; Volatility strategy: None; Spot long - hedging strategy: Hold a long spot position + buy put options + sell out - of - the - money call options [11]. 3.5.2 Agricultural By - products Options - **Pigs (LH2511)**: Directional strategy: None; Volatility strategy: Construct a short - biased call + put option combination strategy; Spot long - covered strategy: Hold a long spot position + sell out - of - the - money call options [11]. - **Eggs (JD2510)**: Directional strategy: Construct a bearish spread combination strategy of put options; Volatility strategy: Construct a short - biased call + put option combination strategy; Spot hedging strategy: None [12]. - **Apples (AP2510)**: Directional strategy: None; Volatility strategy: Construct a neutral - biased call + put option combination strategy; Spot hedging strategy: None [12]. - **Jujubes (CJ2601)**: Directional strategy: Construct a bullish spread combination strategy of call options; Volatility strategy: Construct a long - biased wide - straddle option combination strategy; Spot covered - hedging strategy: Hold a long spot position + sell out - of - the - money call options [13]. 3.5.3 Soft Commodities Options - **Sugar (SR2511)**: Directional strategy: None; Volatility strategy: Construct a short - biased call + put option combination strategy; Spot long - hedging strategy: Construct a long collar strategy [13]. - **Cotton (CF2511)**: Directional strategy: None; Volatility strategy: Construct a long - biased call + put option combination strategy; Spot covered strategy: Hold a long spot position + buy put options + sell out - of - the - money call options [14]. 3.5.4 Grains Options - **Corn (C2511)**: Directional strategy: Construct a bearish spread combination strategy of put options; Volatility strategy: Construct a short - biased call + put option combination strategy; Spot long - hedging strategy: None [14].

Group 1: Implied Volatility Index and Historical Volatility - The financial option implied volatility index reflects the 30 - day implied volatility (IV) trend as of the previous trading day. The commodity option implied volatility index is obtained by weighting the IV of the two - strike options around the at - the - money option of the front - month contract, reflecting the IV change trend of the front - month contract [3] - The difference between the IV index and historical volatility (HV) indicates the relative level of IV to HV. A larger difference means higher IV relative to HV, and a smaller difference means lower IV relative to HV [3] Group 2: Implied Volatility and Historical Volatility Graphs - The document presents graphs showing the IV, HV, and IV - HV differences for various financial and commodity options, including 300 - stock index, 50ETF, 1000 - stock index, 500ETF, and many commodity options such as silver, soybean meal, corn, etc [4] Group 3: Implied Volatility Quantile and Volatility Spread Quantile Ranking - Implied volatility quantile represents the current level of a variety's IV in history. A high quantile means the current IV is high, and a low quantile means the current IV is low. Volatility spread is the difference between the implied volatility index and historical volatility [5] - The document provides the implied volatility quantile rankings for different options, such as PVC with a quantile of 0.92, PTA with 0.39, etc [6]

Group 1: Implied Volatility Index and Historical Volatility - The financial option implied volatility index reflects the 30 - day implied volatility trend as of the previous trading day. The commodity option implied volatility index is obtained by weighting the implied volatilities of the two - strike options above and below the at - the - money option of the main contract, reflecting the implied volatility change trend of the main contract [3] - The difference between the implied volatility index and historical volatility: a larger difference indicates that the implied volatility is relatively higher than the historical volatility, while a smaller difference means the opposite [3] Group 2: Implied Volatility and Historical Volatility Graphs - There are graphs showing the trends of implied volatility (IV), historical volatility (HV), and their differences (IV - HV) for various financial and commodity options, including 50ETF, 1000 - stock index, 500ETF, ES, Shanghai Gold, corn, soybean meal, sugar, cotton, rubber, PTA, methanol, iron ore, crude oil, aluminum, zinc, urea, palm oil, rapeseed meal, Shanghai copper, PVC, and rebar [4][6][7][8][9][10][11][12][13][14][15] Group 3: Implied Volatility and Historical Volatility Quantiles - Implied volatility quantiles represent the current implied volatility level of a variety in history. A high quantile means the current implied volatility is high, and a low quantile means it is low [17] - The implied volatility quantile rankings are as follows: PTA (0.78), natural rubber (0.70), etc. [18] - The historical volatility quantile rankings are as follows: PTA (0.94), 50ETF (0.87), etc. [19]

商 品 研 究 2025 年 3 月 13 日 商品期权日报 张银 投资咨询从业资格号： Z0018397 zhangyin023941@gtjas.com 1. 策略机会 1.1 PTA 有止跌趋势，波动率回落，可考虑构建牛市看跌期权价差组合，赚取波动率下降和行情反转 可能性的收益； 1.2 豆油期权波动率处于低位，偏度也处于低位，价格震荡整理，可考虑买入虚值看涨期权同时卖出 虚值看跌期权，适当使用期货空单对冲，布局偏度上升的收益。 2. 农产品数据 表 1：期货市场统计 | 品种 | 主力合约 | 收盘价 | 涨跌幅 | 主力成交量 | 变化 | 主力持仓量 | 变化 | | --- | --- | --- | --- | --- | --- | --- | --- | | 玉米 | c2505 | 2299 | -16 | 776210 | 248517 | 1316989 | -16004 | | 豆粕 | m2505 | 2877 | 39 | 2148093 | -2085 | 1978026 | -77791 | | 菜粕 | rm2505 | 2695 | -35 | 2527877 | -3 ...