Report Summary 1. Market Performance - The Shanghai Composite Index rose 0.63% to 3863.89 points, the Shenzhen Component Index rose 0.98%, the ChiNext Index rose 1.98%, the Beijing Stock Exchange 50 Index fell 0.25%, the STAR 50 Index rose 0.35%, the Wind All - A Index rose 0.79%, the Wind A500 Index rose 0.61%, and the CSI A500 Index rose 0.63% [4]. - A - share trading volume was 1.75 trillion yuan, the lowest since August 8th, compared with 1.95 trillion yuan the previous day [4]. 2. Index Quotes | Index | Closing Price | Change (%) | Turnover (billion yuan) | Volume (billion) | | ---- | ---- | ---- | ---- | ---- | | SSE 50 | 1283.62 | 53.18 | 2974.8648 | 0.24 | | CSI 300 | N/A | 0.53 | 5057.99 | 0.75 | | CSI 1000 | 3284.45 | 218.58 | - | - | [3] 3. CFFEX Stock Index Options Trading | Index | Call Option Volume (million contracts) | Put Option Volume (million contracts) | Volume PCR | Option Open Interest (million contracts) | Call Option Open Interest (million contracts) | Put Option Open Interest (million contracts) | Open Interest PCR | | ---- | ---- | ---- | ---- | ---- | ---- | ---- | ---- | | SSE 50 | 2.72 | 1.77 | 0.54 | 5.41 | 3.20 | 2.21 | 0.69 | | CSI 300 | 3.06 | 7.98 | 0.62 | 8.22 | 5.88 | 4.92 | 0.72 | | CSI 1000 | 21.04 | 11.60 | 0.81 | 23.71 | 9.44 | 12.59 | 0.88 | [3] 4. Volatility Analysis - The report provides historical volatility and volatility cone analysis for SSE 50, CSI 300, and CSI 1000, as well as their next - month at - the - money implied volatility smile curves [3][4].

Report Information - Report Title: Stock Index Option Data Daily Report [2] - Date: October 20, 2025 [3] - Research Institute: Guomao Futures Research Institute [3] - Analyst: Li Zeju from the Financial Derivatives Center [3] - Data Sources: Wind, Guomao Futures Research Institute [3] Market Review Index Performance - Shanghai Composite Index rose 0.1% to 3916.23 points; Shenzhen Component Index fell 0.25%; ChiNext Index rose 0.38%; North Star 50 Index fell 1.3%; STAR 50 Index fell 0.94%; Wind All - A Index fell 0.44%; Wind A500 Index rose 0.03%; CSI A500 Index fell 0.04%. A - share trading volume was 1.95 trillion yuan, compared with 2.09 trillion yuan the previous day [4] - Shanghai Stock Exchange 50 Index closed at 2967.7748, down 1.70%, with a trading volume of 62.68 billion and a turnover of 1487.49 billion yuan [3] - CSI 300 Index fell 2.26% (value N/A), with a trading volume of 256.91 billion and a turnover of 5590.86 billion yuan [3] - CSI 1000 Index closed at 7185.4781, down 2.92%, with a trading volume of 254.33 billion and a turnover of 3838.75 billion yuan [3] CFFEX Stock Index Option Trading | Index | Call Option Volume (10,000 contracts) | Put Option Volume (10,000 contracts) | Volume PCR | Call Option Open Interest (10,000 contracts) | Put Option Open Interest (10,000 contracts) | Open Interest PCR | | --- | --- | --- | --- | --- | --- | --- | | Shanghai Stock Exchange 50 | 7.47 | 2.83 | 0.70 | 2.94 | 4.64 | 0.61 | | CSI 300 | 22.84 | 12.28 | 0.86 | 7.78 | 10.56 | 0.71 | | CSI 1000 | 44.22 | 22.01 | 0.99 | 11.69 | 22.13 | 0.89 | [3] Volatility Analysis - The report presents historical volatility cones and volatility smile curves for the Shanghai Stock Exchange 50, CSI 300, and CSI 1000 indexes, including different time - period historical volatilities (such as 5 - day, 20 - day, 40 - day, 60 - day, and 120 - day) and the current values compared with different percentile values (10%, 30%, 60%, 90%) [3][4]

Report Summary 1. Report Industry Investment Rating No relevant information provided. 2. Core View No clear core view can be extracted from the given content. 3. Summary by Related Catalogs Historical Volatility - For furnace aluminum, the main price is 20975, and the price of PVC increases by 0.48%. The historical volatilities HV20, HV40, HV60, and HV120 are 10.75%, 10%, 8%, and 18.26% respectively [5]. - For Shanghai zinc, the main price is 21940, and the price of plastic decreases by 0.25%. The historical volatilities are 14.99%, 0.30%, 16.54%, and 12% respectively [5]. - For other commodities such as copper, methanol, gold, etc., similar historical volatility and price change data are provided [5]. Implied Volatility - For polycrystalline silicon, the main flat - value IV is 39% and 69% [9]. - For propylene, the main flat - value IV is 17% and 5% [9]. - Similar implied volatility data are given for other commodities like urea, short - fiber, etc. [9]. Main Flat - Value IV Quantile No detailed data summary is provided in the given content for this part. Historical Trends - For industrial silicon and iron ore, historical trends of main closing price, main flat - value implied volatility, and HV60 are presented from 2024 - 10 to 2025 - 08 [12]. - Similar historical trend data are also shown for soybean oil, rapeseed oil, crude oil, and rubber [12].

Report Summary Core View - The report provides daily volatility data, including implied volatility indices, historical volatility, and their spread trends for various financial and commodity options [3]. Details by Category Implied Volatility Index and Historical Volatility - Financial option implied volatility indices reflect the 30 - day implied volatility (IV) trend as of the previous trading day, while commodity option implied volatility indices are weighted by the IV of the two - strike prices above and below the at - the - money option of the main contract, showing the IV change trend of the main contract [3]. - The difference between the implied volatility index and historical volatility (HV) indicates the relative level of IV to HV, with a larger difference meaning higher IV relative to HV and vice versa [3]. Implied Volatility and Historical Volatility Charts - The report presents charts showing the IV, HV, and IV - HV spreads for multiple options such as 300 Index, 50ETF, 1000 Index, 500ETF, and various commodity options like corn, sugar, cotton, etc. [4]. 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 it is low. Volatility spread is the difference between the implied volatility index and historical volatility [5]. - The report shows the ranking of implied volatility quantiles and historical volatility quantiles for different options, including 300 Index, 50ETF, corn, PTA, etc. [6]

Core Viewpoint - The article aims to explain key technical indicators used in options trading, including intrinsic value, time value, implied volatility, and historical volatility, to help new traders understand price movements and trading strategies [1][3]. Intrinsic Value - Intrinsic value is defined as the profit a buyer can make if the option is exercised at the current moment. For call options, it is calculated as the stock price minus the strike price, while for put options, it is the strike price minus the stock price [3][4]. - Examples illustrate that a call option with a strike price of 20 and a stock price of 25 has an intrinsic value of 5, making it an in-the-money option, while a put option in the same scenario has an intrinsic value of 0, categorizing it as out-of-the-money [3][6]. Time Value - Time value represents the potential for an option to increase in value before expiration, even if it currently has no intrinsic value. The longer the time until expiration, the higher the time value, making the option more expensive [8][10]. - An example shows that a call option with a longer expiration period (176 days) has a higher price (3.7) compared to a shorter one (85 days) due to increased time value [10][11]. Historical Volatility - Historical volatility measures the annualized standard deviation of stock price returns over the past month, indicating how much the stock price has fluctuated historically. A higher historical volatility suggests greater price instability [12]. Implied Volatility - Implied volatility reflects the market's expectations of future price fluctuations based on current option prices. It is a critical factor in determining option pricing, with higher implied volatility leading to higher option prices [14][15]. - The article emphasizes that implied volatility is subjective and can vary slightly across different options for the same underlying asset, influenced by market sentiment and trading activity [22][23]. Relationship Between Implied and Historical Volatility - Traders should compare implied volatility with historical volatility to assess market sentiment. A significantly higher implied volatility may indicate market exuberance or anticipated events that could affect stock prices, while a lower implied volatility suggests stability [24][25]. Conclusion - The article concludes that while technical indicators like implied and historical volatility are useful, investment decisions should primarily rely on fundamental analysis. The complexity of the market cannot be fully captured by a few indicators, and traders should be cautious of making decisions based solely on these metrics [26].

Group 1: Explanation of Volatility Indexes - Financial option implied volatility index reflects the 30 - day implied volatility trend as of the previous trading day, while the commodity option implied volatility index is weighted by the implied volatilities of the two - strike options above and below the at - the - money option of the main contract, showing the implied volatility change trend of the main contract [3] - The difference between the implied volatility index and historical volatility indicates the relative level of implied volatility to historical volatility. A larger difference means higher implied volatility relative to historical volatility, and a smaller difference means lower [3] Group 2: Volatility Index Graphs - There are graphs showing the implied volatility (IV), historical volatility (HV), and their differences (IV - HV) for various financial and commodity options, including 300 - stock index, 50ETF, 1000 - stock index, 500ETF, silver, gold, soybean meal, corn, sugar, cotton, methanol, rubber, iron ore, PTA, copper, crude oil, aluminum, PVC, rebar, zinc, urea, palm oil, etc [4] Group 3: Implied Volatility and Volatility Spread 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 [5] - The document provides the implied volatility quantile rankings for different options such as 50ETF (0.70), 300 - stock index (0.82 and 0.57), corn (0.41), PTA (0.37 and 0.41), etc [6]

Report Summary 1. Report Industry Investment Rating - No information provided 2. Core Viewpoints - The report presents the daily data of stock index options, including the performance of major indices, trading volume, open interest, and volatility analysis of Shanghai - Shenzhen 300, Shanghai Stock Exchange 50, and China Securities 1000 [3][4] 3. Summary by Directory 3.1 Market Review - **Index Performance**: The Shanghai Composite Index rose 1.32% to 3933.97 points, the Shenzhen Component Index rose 1.47%, the ChiNext Index rose 0.73%, the Beijing Stock Exchange 50 fell 0.18%, the Science and Technology Innovation 50 rose 2.93%, the Wind All - A rose 1.31%, the Wind A500 rose 1.56%, and the China Securities A500 rose 1.59%. A - shares traded 2.67 trillion yuan throughout the day, compared with 2.2 trillion yuan the previous day [4][5] - **Index Details**: The Shanghai Stock Exchange 50 closed at 2319.23 with a turnover of 3020.5964 billion yuan and a trading volume of 1.06 billion; the Shanghai - Shenzhen 300 closed at 8622.08 with a turnover of 4709.482 billion yuan and a trading volume of 347.68; the China Securities 1000 closed at 7648.0523 with a turnover of 5305.00 billion yuan and a trading volume of 303.49 [3] 3.2 CFFEX Stock Index Options Trading Situation - **Trading Volume and Open Interest**: For the Shanghai Stock Exchange 50, the call option trading volume was 6.84 million, the put option trading volume was 7.04 million, the call option open interest was 3.95 million, and the put option open interest was 3.09 million; for the Shanghai - Shenzhen 300, the call option trading volume was 11.83 million, the put option trading volume was 17.90 million, the call option open interest was 19.00 million, and the put option open interest was 8.94 million; for the China Securities 1000, the call option trading volume was 30.05 million, the put option trading volume was 15.64 million, the call option open interest was 27.69 million, and the put option open interest was 14.41 million [3] - **PCR (Put - Call Ratio)**: The trading volume PCR for the Shanghai Stock Exchange 50 was 0.78, the open interest PCR was 0.49; for the Shanghai - Shenzhen 300, the trading volume PCR was 1.00, the open interest PCR was 8.96; for the China Securities 1000, the trading volume PCR was 0.92, the open interest PCR was 1.06 [3] 3.3 Volatility Analysis - **Historical Volatility and Volatility Cone**: The report shows the historical volatility and volatility cone of the Shanghai Stock Exchange 50, Shanghai - Shenzhen 300, and China Securities 1000, including the minimum, 10% quantile, 30% quantile, maximum, 90% quantile, 60% quantile, and current values [3][4] - **Volatility Smile Curve**: The report presents the next - month at - the - money implied volatility smile curves of the Shanghai Stock Exchange 50, Shanghai - Shenzhen 300, and China Securities 1000 [3][4]

Report Summary Core View - The report provides a daily update on volatility data including implied volatility indices, historical volatility, and their spread trends for various financial and commodity options as of September 30, 2025. It also presents the percentile rankings of implied volatility and volatility spread [2]. Details from Different Sections Volatility Index and Spread - Financial option implied volatility indices show the 30 - day implied volatility (IV) trend as of the previous trading day. Commodity option implied volatility indices are calculated by weighting the IV of the two - strike options around the at - the - money option of the main contract, reflecting the IV trend of the main contract. The difference between the IV index and historical volatility (HV) indicates the relative level of IV to HV [2]. Implied Volatility and Historical Volatility Graph - Graphs display the IV, HV, and IV - HV spread for multiple options including 300 Index, 50ETF, 1000 Index, 500ETF, and various commodity options such as silver, gold, soybean meal, corn, etc. [3]. Implied Volatility and Volatility Spread Percentile Rankings - Implied volatility percentile represents the current IV level of a variety in history. A high percentile means the current IV is high, while a low percentile means it is low. The volatility spread is the difference between the implied volatility index and historical volatility. The report shows the percentile rankings of implied volatility and historical volatility for different options like 50ETF, 300 Index, PTA, etc. [4][5]

Group 1: Explanation of Volatility Metrics - Financial option implied volatility index reflects the 30 - day implied volatility (IV) trend as of the previous trading day. Commodity option implied volatility index is obtained by weighting the IV of the upper and lower two - strike options of the at - the - money option of the main contract month, showing the IV change trend of the main contract [2] - The difference between the IV index and historical volatility (HV) indicates the relative level of IV to HV. A larger difference means IV is relatively higher than HV, and a smaller difference means IV is relatively lower [2] Group 2: Volatility Data Visualization - There are charts showing the IV, HV, and IV - HV differences of various financial and commodity options, including 300 - stock index, 50ETF, 1000 - stock index, 500ETF, and many commodity options like silver, gold, soybean meal, etc [3] Group 3: Implied Volatility and Historical Volatility Quantiles - Implied volatility quantiles represent the current IV level of a variety in history. High quantiles mean the current IV is high, and low quantiles mean it is low. The data shows the implied and historical volatility quantiles of different options such as 50ETF, PTA, 300 - stock index, etc [4][5]

Group 1: Common Option Structures - The three common option structures—Snowball, Phoenix, and Fixed Coupon Notes (FCN)—are essentially barrier options, with specific characteristics regarding cash flow and risk exposure [2][3]. - The classic Snowball structure allows for cash flow only at maturity or upon knock-out, while the Phoenix structure enables monthly cash flow as long as the price is above the knock-in line [2]. - FCN provides fixed coupon payments regardless of price movements during the holding period, making it attractive for conservative investors due to a significantly lower probability of knock-in [2]. Group 2: Profit and Loss Scenarios - In scenarios without knock-in, all three structures yield similar returns, with higher coupon structures being more favorable [3]. - In cases where knock-in occurs but knock-out does not, Snowball and FCN can still yield returns, while Phoenix's cash flow is affected by the knock-in event [3]. - If knock-in occurs and the asset price is below the exercise price at maturity, losses may occur, with Snowball being the most adversely affected due to no cash flow during the holding period [3]. Group 3: Risk and Return Dynamics - The risk-return relationship indicates that Phoenix typically offers lower coupons than Snowball, while FCN generally has the lowest coupon rates [4]. Group 4: Market Timing Considerations - Proper market timing is essential, as no option structure guarantees profit in all market conditions [5]. Group 5: Delta and Volatility Analysis - All three structures maintain a positive Delta, indicating a bullish stance on the underlying asset, and are more suitable for moderate upward or sideways markets [7]. - The expected volatility is positively correlated with coupon rates, as higher volatility increases the likelihood of reaching knock-in conditions [8]. - The structures tend to be short volatility in most scenarios, making high volatility periods favorable for entry [10]. Group 6: Selection of Underlying Assets - The choice of underlying assets significantly impacts the performance of the structured products, with the China Securities 500 Index being identified as a suitable candidate due to its risk-return profile [14][16]. - The analysis of daily return distributions shows that the Hang Seng Tech Index has the lowest probability of extreme negative returns, making it a favorable option [14][15]. Group 7: Historical Backtesting and Timing Strategies - Historical backtesting indicates that FCN can effectively mitigate knock-in losses, making it a lower-risk option compared to Snowball [16]. - Rational timing strategies suggest that selecting more aggressive structures during low-risk periods and conservative structures during higher-risk periods can optimize returns [16]. Group 8: Structural Variations and Adjustments - The flexibility in setting barriers allows for various structural adjustments to balance risk and return, such as eliminating knock-in features or adjusting the knock-out thresholds [19].