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商品期权周报:隐波下降,市场震荡回落-20250825
Nan Hua Qi Huo· 2025-08-25 06:43
商品期权周报 I 2025/08/18—2025/08/22 隐波下降,市场震荡回落 本周摘要 波动率方面,截至本周五收盘,原油期权隐含波动率 28.91%,较 一周前下降-4.35%。碳酸锂期权隐含波动率 42.69%,较一周前下 降-5.54%。螺纹钢期权隐含波动率 11.35%,较一周前下降- 0.46%。纯碱期权隐含波动率 18.20%,较一周前下降-1.48%。黄 金期权隐含波动率 15.51%,较一周前下降-0.25%,较一周前下降- 1.48%。白银期权隐含波动率 18.06%,较一周前下降-0.21%。棕 榈油期权隐含波动率 15.61%,较一周前上升 0.14%。豆油期权隐 含波动率 21.60%,较一周前上升 2.06%。菜油期权隐含波动率 19.84%,较一周前下降-0.35%。橡胶期权隐含波动率 12.69%,较 一周前下降-2.85%。 本周商品期权成交量较上周大幅下降 24.45%,持仓量较上周下 降 24.29%。本周商品期权市场情绪较上周显著降温,期权隐含 波动率普遍下降。碳酸锂、纯碱期权隐含波动率较上周五下降均 超 4 个百分点,目前分别处于历史 60%-70%,30%-40 ...
商品期权周报:2025年第34周-20250824
Dong Zheng Qi Huo· 2025-08-24 14:15
周度报告——商品期权 商品期权周报:2025 年第 34 周 报告日期: 2025 年 8 月 24 日 ★ 商品期权市场活跃度 本周(2025.8.18-2025.8.22)商品期权市场活跃度较上周有所 回落,日均成交量为 646 万手,日均持仓量为 732 万手,环 比变化分别为-26.6%和-28.23%。分品种来看,本周日均成交 活跃的品种主要包括纯碱(59 万手)、玻璃(51 万手)、棕 榈油(40 万手)。此外,本周共有 3 个品种成交增长超过 100%, 成交量增长较为显著的品种为对二甲苯(+1327%)、合成橡 胶(+125%)、短纤(+122%)。与此同时,成交量下降较 为明显的品种则有菜粕(-85%)、菜油(-85%)、豆油(-72%)。 从持仓量数据来看,本周日均持仓量较高的品种为螺纹钢(63 万手)、纯碱(62 万手)和豆粕(60 万手)。日均持仓量环 比增长较为迅速的品种为对二甲苯(+188%)、合成橡胶 (+77%)、多晶硅(+50%)。建议投资者可重点关注交易 活跃品种可能存在的市场机会。 ★ 商品期权主要数据点评 标的涨跌情况:本周商品期权标的期货以下跌为主,共有 37 个品种 ...
波动率数据日报-20250822
Yong An Qi Huo· 2025-08-22 06:43
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]
波动率数据日报-20250820
Yong An Qi Huo· 2025-08-20 13:37
Key Points of the Report Core Concepts - The implied volatility index of financial options reflects the 30 - day implied volatility trend as of the previous trading day. The implied volatility index of commodity options is obtained by weighting the implied volatilities of the two - point - up and - down options at the at - the - money strike price of the main contract month, reflecting the implied volatility change trend of the main contract [2]. - The difference between the implied volatility index and historical volatility shows the relative level of implied volatility to historical volatility. A larger difference means the implied volatility is relatively higher, and a smaller difference means it is relatively lower [2]. - The implied volatility quantile represents 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. The volatility spread is the implied volatility index minus the historical volatility [4]. Implied Volatility and Historical Volatility Data - The report presents the implied volatility (IV), historical volatility (HV), and their differences (IV - HV) of various options, including 300 Index, 50ETF, 1000 Index, 500ETF, and many commodity options such as soybean meal, corn, sugar, cotton, etc. [3] Implied Volatility Quantile and Volatility Spread Quantile Ranking - The report shows the ranking of implied volatility quantiles and historical volatility quantiles of different varieties, such as 300 Index, PVC, PTA, corn, etc. [4][5]
农产品期权策略早报-20250819
Wu Kuang Qi Huo· 2025-08-19 01:31
1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - The agricultural products sector shows different trends: oilseeds and oils are in a strong - side oscillation, oils and by - products maintain an oscillatory trend, soft commodities like sugar have a slight oscillation, cotton's bullish rise has declined, and grains such as corn and starch are in a weak and narrow - range consolidation [2]. - 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 Relevant Catalogs 3.1 Futures Market Overview - The latest prices, price changes, trading volumes, and open interest of various agricultural product futures are presented, including soybeans, soybean meal, palm oil, etc. For example, the latest price of soybean No.1 (A2511) is 4,056 with no change, and its trading volume is 8.83 million lots [3]. 3.2 Option Factors - Volume and Open Interest PCR - The volume and open interest PCR of different agricultural product options are provided, which are used to describe the strength of the option underlying market and the turning point of the underlying market respectively. For instance, the volume PCR of soybean No.1 option is 0.32, with a change of - 0.14 [4]. 3.3 Option Factors - Pressure and Support Levels - The pressure and support levels of different agricultural product options are given, which are determined by the strike prices of the maximum open interest of call and put options. For example, the pressure level of soybean No.1 is 4500, and the support level is 4100 [5]. 3.4 Option Factors - Implied Volatility - The implied volatility data of different agricultural product options are presented, including at - the - money implied volatility, weighted implied volatility, and its change. For example, the at - the - money implied volatility of soybean No.1 is 11.985%, and the weighted implied volatility is 14.43% with a change of - 1.72% [6]. 3.5 Option Strategies and Recommendations 3.5.1 Oilseeds and Oils Options - **Soybean No.1 and No.2**: The fundamentals of soybeans are affected by factors such as USDA's adjustment of planting area and yield, and Trump's call for China to buy soybeans. The option strategies include constructing a neutral call + put option combination strategy and a long collar strategy for spot hedging [7]. - **Soybean Meal and Rapeseed Meal**: The fundamentals of soybean meal are related to the monthly purchase volume. The option strategies include constructing a neutral call + put option combination strategy and a long collar strategy for spot hedging [9]. - **Palm Oil, Soybean Oil, and Rapeseed Oil**: The fundamentals of oils are affected by USDA's reports and India's inventory replenishment. The option strategies include constructing a bullish call spread strategy, a long - biased call + put option combination strategy, and a long collar strategy for spot hedging [10]. - **Peanuts**: The fundamentals of peanuts are related to the spot price, import volume, and oil mill operation rate. The option strategies include constructing a bearish put spread strategy and a long collar strategy for spot hedging [11]. 3.5.2 By - product Options - **Pigs**: The supply of pigs is relatively loose, and the demand is stimulated by low prices. The option strategies include constructing a short - biased call + put option combination strategy and a covered call strategy for spot [11]. - **Eggs**: The inventory of laying hens is expected to increase. The option strategies include constructing a bearish put spread strategy and a short - biased call + put option combination strategy [12]. - **Apples**: The cold - storage inventory of apples is at a low level. The option strategies include constructing a neutral call + put option combination strategy [12]. - **Red Dates**: The inventory of red dates is decreasing, and the market is improving. The option strategies include constructing a bullish call spread strategy, a long - biased wide - straddle option combination strategy, and a covered call strategy for spot [13]. 3.5.3 Soft Commodity Options - **Sugar**: The fundamentals of sugar are affected by Brazil's sugar production data. The option strategies include constructing a short - biased call + put option combination strategy and a long collar strategy for spot hedging [13]. - **Cotton**: The fundamentals of cotton are related to the operating rates of spinning and weaving mills and global production. The option strategies include constructing a long - biased call + put option combination strategy and a covered call strategy for spot [14]. 3.5.4 Grain Options - **Corn and Starch**: The fundamentals of corn are affected by USDA's planting area and yield adjustment. The option strategies include constructing a bearish put spread strategy and a short - biased call + put option combination strategy [14]. 3.6 Option Charts - Charts of various agricultural product options are provided, including price trend charts, volume and open interest charts, implied volatility charts, etc., to visually display the market conditions of different agricultural product options [15][34][53].
商品期权周报:2025年第33周-20250817
Dong Zheng Qi Huo· 2025-08-17 14:16
Report Title - "Commodity Options Weekly Report: Week 33 of 2025" [1] 1. Report Industry Investment Rating - Not provided in the given content 2. Core Viewpoints of the Report - The activity level of the commodity options market in the week from August 11 - 15, 2025, was basically flat compared to the previous week. Investors are advised to focus on potential market opportunities in actively - traded varieties [2][9] - The underlying futures of commodity options showed mixed performance this week, with the energy - chemical and non - ferrous sectors mainly rising. Attention should be paid to risks and opportunities based on factors such as price fluctuations, implied volatility, and market sentiment [3][17][18] 3. Summary by Relevant Catalogs 3.1 Commodity Options Market Activity - The average daily trading volume was 8.81 million lots, with a week - on - week increase of 4.19%, and the average daily open interest was 10.2 million lots, with a week - on - week decrease of 18.19% [2][5][9] - Actively - traded varieties in terms of average daily trading volume included glass (1.07 million lots), soda ash (1.06 million lots), and soybean meal (0.6 million lots) [2][5][9] - Five varieties had trading volume growth of over 100%, with significant growth in synthetic rubber (+362%), Shanghai tin (+265%), and apples (+108%). Meanwhile, polycrystalline silicon (-77%), industrial silicon (-66%), and urea (-53%) had obvious trading volume declines [2][9] - Varieties with high average daily open interest were soybean meal (1.07 million lots), glass (0.96 million lots), and soda ash (0.87 million lots). Synthetic rubber (+58%), Shanghai tin (+37%), and p - xylene (+37%) had rapid week - on - week growth in average daily open interest [2][9] 3.2 This Week's Commodity Options Main Data Review 3.2.1 Underlying Price Fluctuations - There were 28 varieties with weekly gains, including lithium carbonate (+12.92%), palm oil (+5.11%), and soda ash (+4.73%); 23 varieties had weekly losses, including methanol (-2.55%), eggs (-2.30%), and logs (-1.87%) [3][17] 3.2.2 Market Volatility - The implied volatility of some commodity options varieties rebounded this week, with 23 varieties having current implied volatility above the 50th percentile of the past year. High - implied - volatility varieties included corn starch, eggs, logs, etc., and short - volatility opportunities were recommended. Low - implied - volatility varieties included non - ferrous metals, precious metals, plastics, etc., where buying options had a higher cost - performance ratio [3][17] 3.2.3 Options Market Sentiment - Varieties such as p - xylene, bottle chips, and soybean meal had a high volume PCR, indicating strong short - term bearish sentiment. Glass, rubber, soda ash, and rapeseed oil had a low volume PCR, showing concentrated short - term bullish sentiment [3][18] - P - xylene, lithium carbonate, and soda ash had a high open - interest PCR, indicating a high level of accumulated bearish sentiment. Nickel, logs, sugar, and rubber had a low open - interest PCR, indicating accumulated bullish sentiment [3][18] 3.3 Key Data Overview of Main Varieties - This chapter presents key data of main varieties, including trading volume, volatility, and options market sentiment indicators. More detailed data can be accessed on the Dongzheng Finoview official website (https://www.finoview.com.cn/) [22]
商品期权周报-20250817
Guo Tai Jun An Qi Huo· 2025-08-17 12:17
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.
商品期权日报 0815:商品期权成交量 634 万张,玉米期权 IV 上升 5.86%-20250815
Yin He Qi Huo· 2025-08-15 11:48
1. Report Industry Investment Rating - No relevant content found 2. Core Viewpoints of the Report - The trading volume of commodity options reached 6.34 million contracts. Some varieties had relatively large trading volumes, such as soybean meal options with 670,000 contracts, palm oil options with 580,000 contracts, and soda ash options with 430,000 contracts. In terms of open interest, soybean meal options exceeded 1.09 million contracts, and rebar options exceeded 550,000 contracts. Regarding the trading volume PCR, some varieties deviated significantly, presenting trading opportunities but also liquidity risks [1][3]. - In the agricultural product sector, the IV of corn options rose by 5.86%, while that of egg options fell by 4.88%. In the energy and chemical sector, the IV of caustic soda options increased by 3.06%, and that of lithium carbonate options decreased by 4.47%. In the metal sector, the IV of each variety showed mixed trends, with the IV of Shanghai silver options dropping by 0.69% [3]. 3. Summary According to the Directory 3.1. Market Quick View 3.1.1. Trading Volume and Open Interest - The report provides detailed trading volume and open - interest data for various commodity options, including information on the underlying asset's closing price, price change, option trading volume, call and put trading volumes, option open interest, call and put open interests, and trading volume and open - interest PCR for each variety [5]. 3.1.2. Volatility - The report presents the implied volatility (IV) data of various commodity options, including the flat - strike IV, IV change in absolute value, historical volatility (30 - day, 60 - day, and 90 - day), and the difference between implied and historical volatility (IV - HV) for each variety [11]. 3.2. Variety Research 3.2.1. Soybean Meal Options - The report includes charts of the volatility smile curve, volatility term structure, recent one - month IV trend, and recent one - month implied - historical volatility difference trend for soybean meal options [13]. 3.2.2. Rapeseed Meal Options - It provides charts of the volatility smile curve, volatility term structure, recent one - month IV trend, and recent one - month implied - historical volatility difference trend for rapeseed meal options [17]. 3.2.3. PTA Options - The report contains charts of the volatility smile curve, volatility term structure, recent one - month IV trend, and recent one - month implied - historical volatility difference trend for PTA options [21]. 3.2.4. Methanol Options - It offers charts of the volatility smile curve, volatility term structure, recent one - month IV trend, and recent one - month implied - historical volatility difference trend for methanol options [23]. 3.2.5. Sugar Options - The report includes charts of the volatility smile curve, volatility term structure, recent one - month IV trend, and recent one - month implied - historical volatility difference trend for sugar options [26]. 3.2.6. Soda Ash Options - It provides charts of the volatility smile curve, volatility term structure, recent one - month IV trend, and recent one - month implied - historical volatility difference trend for soda ash options [31]. 3.2.7. Iron Ore Options - The report contains charts of the volatility smile curve, volatility term structure, recent one - month IV trend, and recent one - month implied - historical volatility difference trend for iron ore options [35]. 3.2.8. Shanghai Silver Options - It offers charts of the volatility smile curve, volatility term structure, recent one - month IV trend, and recent one - month implied - historical volatility difference trend for Shanghai silver options [38]. 3.2.9. Rebar Options - The report includes charts of the volatility smile curve, volatility term structure, recent one - month IV trend, and recent one - month implied - historical volatility difference trend for rebar options [42].
农产品期权策略早报-20250813
Wu Kuang Qi Huo· 2025-08-13 01:51
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].
波动率数据日报-20250811
Yong An Qi Huo· 2025-08-11 06:44
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]