Report Industry Investment Rating - Not provided in the report Core Viewpoints - The weekly market amplitude narrowed, 50ETF and 300ETF slightly pulled back, while 500ETF showed high resilience. The overall trading volume in the options market shrank, and the open interest slightly increased, which was related to the pre - holiday cautious sentiment. However, from the perspective of implied volatility level and shape, the overall wait - and - see sentiment did not rise significantly. The report maintained the relatively optimistic view from the previous period and was also bullish on the performance of the growth sector [4][46] Summary by Relevant Catalogs 1. Spot - Futures Market Review 1.1. Underlying Asset Market - From December 29th to December 31st, the Shanghai Composite Index fluctuated during the week, closing at 3968.84 with lower trading volume compared to the previous week. The Shenzhen Component Index also fluctuated, closing at 13525.02 with lower trading volume. - 50ETF opened at 3.120 at the beginning of the week and closed at 3.105 at the weekend, down 0.015 or 0.48% from the previous week, with a trading volume of 5.981 billion yuan. Huatai - Peregrine CSI 300ETF opened at 4.780 and closed at 4.753, down 0.031 or 0.65%, with a trading volume of 9.521 billion yuan. Southern CSI 500ETF opened at 7.579 and closed at 7.588, up 0.008 or 0.11%, with a trading volume of 7.777 billion yuan [2][7] 1.2. Index Futures Market - From December 29th to December 31st, all IH contracts of stock index futures closed down. Contract IH2601 fell by 0.79%. All IF contracts closed down, and contract IF2601 fell by 0.77%. All IC contracts closed down, with contract IC2601 falling by 0.01% [8] 2. Options Market Review 2.1. Trading and Open Interest - From December 29th to December 31st, the average daily trading volume of 50ETF options decreased compared to the previous week, while the total open interest increased. The average daily trading volume was 600,912 contracts, a decrease of 170,092 from the previous week. The total open interest was 1,076,466 contracts, an increase of 69,862 from the previous weekend. The total open - interest PCR was 0.92, a decrease of 0.06 from the previous weekend [12] - The average daily trading volume of Huatai - Peregrine CSI 300ETF options decreased, and the total open interest increased. The average daily trading volume was 755,077 contracts, a decrease of 197,862 from the previous week. The total open interest was 1,090,086 contracts, an increase of 47,280 from the previous weekend. The total open - interest PCR was 0.87, a decrease of 0.09 from the previous weekend [15] - The average daily trading volume of Southern CSI 500ETF options decreased, and the total open interest increased. The average daily trading volume was 1,063,830 contracts, a decrease of 302,468 from the previous week. The total open interest was 1,065,802 contracts, an increase of 67,144 from the previous weekend. The total open - interest PCR was 1.07, basically unchanged from the previous weekend [19] 2.2. Volatility 2.2.1. Historical Volatility - As of December 31st, the 5 - day historical rolling volatility of 50ETF rose to 4.72%, near the five - year historical low. The 5 - day, 10 - day, 20 - day, and 40 - day historical volatilities were 4.72%, 4.13%, 8.01%, and 9.71% respectively [23] - The 5 - day historical rolling volatility of Huatai - Peregrine CSI 300ETF rose to 5.97%, near the 25th percentile of the five - year historical level. The 5 - day, 10 - day, 20 - day, and 40 - day historical volatilities were 5.97%, 7.43%, 10.50%, and 12.44% respectively [27] - The 5 - day historical rolling volatility of Southern CSI 500ETF rose to 7.73%, near the 25th percentile of the five - year historical level. The 5 - day, 10 - day, 20 - day, and 40 - day historical volatilities were 7.73%, 9.77%, 13.80%, and 16.65% respectively [28] 2.2.2. Implied Volatility - Before the holiday, the market trading volume shrank, the volatility level changed little, and the overall shape of implied volatility basically maintained the original situation. Currently, the curve shapes of 50ETF and 300ETF options remain relatively right - skewed, while the curve shape of 500ETF options is slightly left - skewed [32] 2.2.3. Comparison of Historical and Implied Volatility Trends - In terms of volatility, short - term volatility continued to remain at a relatively low level, currently at around the 25th percentile of the historical level. Monthly volatility also declined slightly. Before the holiday, implied volatility rose slightly, with an increase of less than 1%. The volatility difference widened, but the overall level was relatively controllable. The market sentiment was stable during the pre - holiday trading, and the volatility level only increased slightly, with the overall volatility remaining at a low level [39] 3. Investment Recommendations - The weekly market amplitude narrowed, 50ETF and 300ETF slightly pulled back, while 500ETF showed high resilience. The overall trading volume in the options market shrank, and the open interest slightly increased, which was related to the pre - holiday cautious sentiment. However, from the perspective of implied volatility level and shape, the overall wait - and - see sentiment did not rise significantly. The report maintained the relatively optimistic view from the previous period and was also bullish on the performance of the growth sector [4][46]

Core Viewpoint - The article discusses the performance of various CTA (Commodity Trading Advisor) strategies in 2023, highlighting the significant differences in returns among different sub-strategies and the impact of market conditions on these performances [10][18]. Strategy Environment - The overall volatility in the commodity market in 2023 was relatively low compared to the previous two years, with specific events causing temporary spikes in volatility [10][12]. - The market experienced a mix of trends, with a clear upward trend in commodities following the "anti-involution" sentiment in July, but subsequently entering a phase of oscillation and correction [13][16]. Performance Analysis Top Performers - The best-performing strategy was the composite CTA strategy, which integrates multiple sub-strategies to adapt to varying market conditions, achieving strong absolute returns [20]. - Long-term trend-following strategies also performed well, effectively filtering out short-term noise and capturing significant trends in precious metals and industrial commodities [21][22]. Underperformers - Short to medium-term trend strategies struggled due to their reliance on weekly signals, which often led to losses as market reversals occurred shortly after trend identification [24]. - Stock index CTA strategies performed poorly overall, primarily due to low volatility and insufficient trend continuity throughout the year [25]. - Subjective trend CTA strategies showed mixed results, heavily dependent on the fund managers' ability to accurately interpret market trends [26]. Future Outlook - The article suggests that the value of CTA strategies lies not only in crisis alpha but also in the diverse trading methods that provide high Sharpe ratios [27]. - For a better holding experience, it is recommended to choose composite CTAs, while those optimistic about commodity market opportunities in the coming year may consider private commodity index enhancements [28].

Market Overview - A-shares remain stable with controllable risks, suggesting opportunities for low-cost investments in high-prosperity sectors. The macro strategy team indicates that market enthusiasm for chasing high prices is still weak, but the index remains relatively stable, expected to maintain a fluctuating structure with controllable risks. Signs of market stabilization have become more apparent since December, particularly in high-prosperity sectors that have shown resilience. It is recommended to preferentially invest in industries with upward trends in prosperity and patiently await the upcoming spring market [1][4][6]. Stock Market Factors - Last week, market style shifted slightly towards large-cap stocks, with a value-oriented approach gaining traction compared to the previous week. The volatility of both large-cap and value-growth styles remained low. The dispersion of excess returns among industries and the speed of industry rotation have reversed, showing an increase, while the proportion of rising constituent stocks has decreased. The trading concentration of the top 100 stocks remained stable, with a slight decline in the trading concentration of the top five industries [6][8]. Commodity Market Factors - In the commodity market, all sectors except for the black metal sector showed an upward trend in strength. The efficiency coefficients for precious metals, non-ferrous metals, and agricultural products remained high. The basis momentum for precious metals saw a significant decline, while the basis momentum for energy and black metal sectors increased. Volatility increased in all sectors except for precious metals and agricultural products, and liquidity decreased in the energy and agricultural sectors, while other sectors saw a slight increase [20][21]. Options Market Factors - The implied volatility of the Shanghai Stock Exchange 50 and the CSI 1000 rebounded from low levels last week. In terms of volatility skew, both call and put options for the Shanghai index decreased, while the put option skew for the CSI 1000 continued to rise, indicating that the market has experienced some risk release, with small-cap styles still accumulating risks [29]. Convertible Bond Market Factors - The convertible bond market stabilized and showed signs of recovery last week. The valuation of bonds reached a new high for the year in terms of the premium rate for conversion at 100 yuan, maintaining a trend of oscillation and increase. The pure bond premium rate for debt-type groupings saw a slight increase, while the proportion of low premium conversion bonds continued to decline, remaining at a low level. Market transaction volume rebounded, surpassing the historical median for the past year [31].

1. Report's Industry Investment Rating No information provided regarding the industry investment rating. 2. Core Viewpoints of the Report - The financial options market in 2025 showed structural changes and sentiment differentiation. The market preference was towards growth - style index options, and the mid - term market sentiment remained optimistic. The implied volatility was relatively mild, and the advantage of option sellers increased. In 2026, the volatility center may rise slightly, and certain option strategies are recommended [4][111][113]. - The performance of option strategies in 2025 varied. The quantitative timing strategy based on the premium and discount of synthetic underlying assets achieved stable returns, while the "foolish" double - selling strategy had relatively large risks [5][112]. 3. Summary According to the Table of Contents 3.1 2025 Financial Options Market Operation - **Option Market Activity**: The domestic option market had 12 listed financial option varieties. By November 30, 2025, the total trading volume was 1.717 billion contracts, the average daily trading volume was 7.8047 million contracts, the total trading turnover was 1.641327 trillion yuan, and the average daily trading turnover was 7.46 billion yuan. The average daily trading volume, turnover, and open interest increased by about 12%, 21%, and 13% respectively compared to the same period in 2024. The growth in turnover mainly came from the third quarter, and the growth was mainly driven by the CSI 1000 Index Option and the dual - innovation options [12][14]. - **Market Preference for Growth - Style Index Options**: Measured by average daily turnover, the CSI 1000 Index Option had the highest market share at 33.69%, followed by the Southern CSI 500ETF Option at 19.25%. The market still preferred growth - style index options with larger underlying index fluctuations, while the share of the SSE 50ETF Option continued to decline to about 6% [17]. - **Position PCR Indicating Optimistic Mid - term Market Sentiment**: The position PCR values of major financial options mostly followed the fluctuations of the underlying index in 2025. The average position PCR values of IO and MO options increased significantly compared to 2024, indicating an increase in the proportion of investors selling put options. Although the position PCR values have declined recently, they are still at medium - to - high historical levels, suggesting that the mid - term market sentiment remains optimistic [22][23]. 3.2 2025 Stock Index Option Market Volatility - **Historical Volatility in a Similar "M" Shape**: The historical volatility of the three major index option underlying assets showed a similar "M" shape in 2025, with the upward - moving period significantly shorter than the downward - moving period. The volatility center and range narrowed compared to 2024 [26]. - **Implied Volatility More Moderate than in Previous Years**: The implied volatility of options also showed a similar "M" shape, but the upward - pulse time was shorter and the peak - reaching time was earlier. The implied volatility was more moderate than in previous years, which was related to the increasing institutionalization of the market and the regulatory authorities' advocacy of a slow - bull market [32][39]. - **Enhanced Advantage of Option Sellers in 2025**: The advantage of option sellers was enhanced in 2025, as the frequency and average amplitude of option implied volatility premiums increased compared to 2024, and the implied volatility mostly showed a downward - trending pattern [40][44]. - **Low Skewness Throughout the Year**: The proportion of negative skewness in implied volatility of options increased in 2025, mainly due to the expansion of stock market neutral products. Currently, the skewness of the CSI 1000 Index Option has recovered to a medium - to - high level in the past two years, while that of the SSE 50 and CSI 300 Index Options is still at a slightly low - medium level [45][48]. - **2026 Volatility Outlook**: In 2026, the implied volatility is currently low, and the volatility center may rise slightly, but it is expected that the peak will not exceed that of 2025. The implied volatility of the SSE 50 and CSI 300 Index Options is expected to range between 12% - 30%, and that of the CSI 1000 Index Option between 17% - 40%. Local peaks may occur in the first and third quarters [52]. 3.3 Option Strategy Review and Recommendation - **Quantitative Timing Strategy Based on Premium and Discount of Option Synthetic Underlying Assets**: This strategy can achieve a 23.6% absolute return in 2025, with a maximum drawdown of only 4.81%, far superior to the CSI 500 Index and corresponding stock index futures [60]. - **Performance Review of Classic Option Strategies**: - **Bull Spread Strategy**: In a slow - bull market, this strategy performs well. Although it slightly underperforms the underlying index, it significantly reduces the maximum drawdown [63][70]. - **Selling Put Option Strategy**: Except during the sharp rise in late September 2024, this strategy can generally outperform the underlying index, and the decline amplitude is relatively smaller [73][77]. - **Covered Call Strategy**: In 2025, this strategy performs better in IO and HO options with more stable underlying fluctuations, but underperforms in MO options with larger fluctuations. It may not be able to outperform the underlying index in a rapidly rising market [85][89]. - **Bullish Three - Leg Strategy**: In a slow - bull market, this strategy is a good alternative to index long positions. In case of a rapid market rise, the problem of underperformance can be improved by adjusting the position ratio [90]. - **Traditional Double - Selling Strategy**: For investors with poor timing ability, the SSE 50 Index Option is the most suitable for the double - selling strategy. The double - selling strategy for MO options has the most unstable returns and relatively large maximum drawdowns [98]. 3.4 Summary and Outlook - **Summary**: In 2025, the trading turnover of the financial options market increased, mainly driven by growth - style options. The position PCR indicated optimistic mid - term sentiment, the implied volatility was moderate, and option strategies achieved stable returns. Some classic strategies can reduce drawdowns and smooth the capital curve [106][111][112]. - **Outlook**: In 2026, the volatility center may rise slightly. Sellers of out - of - the - money put options are worthy of attention, the bullish three - leg strategy can be used to replace traditional futures long positions, and the strategy of shorting volatility is also worth considering [113][114].

Group 1: Market Overview - Wall Street is preparing for continued volatility in the U.S. stock market in 2026, with investors oscillating between fear of missing out (FOMO) on AI rebounds and anxiety over potential asset bubbles bursting [1] - The past 18 months have shown a pattern of large sell-offs and rapid reversals, which is expected to continue into 2026, particularly influenced by tech giants at the center of the AI revolution [1] - Despite strong performance in tech stocks in 2025, the divergence between sectors has suppressed actual market volatility, but risks from falling chip stocks could trigger broader market impacts [1] Group 2: Volatility Strategies - UBS strategists highlight that the AI boom's sustainability is crucial for volatility strategies, with high volatility contracts on the Nasdaq 100 index being a key focus [2] - The strategy of buying Nasdaq 100 volatility while selling S&P 500 volatility is viewed as a high-confidence trade for the upcoming year [2] - JPMorgan strategists anticipate that volatility will fluctuate between technical, fundamental, and macroeconomic factors, with the VIX expected to average between 16 and 17 in 2026 [2] Group 3: Options Market Dynamics - Structural imbalances in the options market are reshaping pricing, with a steepening volatility curve expected in 2026 due to an imbalance in investment flows [3] - Quantitative investment strategies and volatility selling strategies are increasing supply on the short end of the curve, while hedging funds are expected to keep long-end volatility elevated [3] - The fear of missing out and conflicting narratives around AI are creating favorable conditions for trading volatility [3] Group 4: Divergence in Trading Strategies - The "diversified trading" strategy, betting on individual stock volatility while keeping index volatility low, may become popular but raises concerns about overcrowding [4] - Some hedge funds are taking contrary positions, suggesting that the strategy may be overly crowded [4] - Despite concerns, capital is expected to continue flowing into diversified strategies, maintaining single-stock volatility premiums over indices [5] Group 5: Re-leveraging Cycle and Tail Risks - A volatility mechanism model based on the yield curve indicates that a flattening curve signals buying volatility, while a steepening curve triggers selling [6] - The model has historically avoided significant drawdowns during market downturns, suggesting that volatility is likely to rise in 2026 [6] - The U.S. is on the brink of a new re-leveraging cycle driven by AI, which could lead to increased credit spreads and equity volatility [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, and 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, reflecting 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: Implied Volatility and Historical Volatility Difference Chart - The chart shows the IV - HV differences of various financial and commodity options, including 300股指, 50ETF, 1000股指, 500ETF, and many commodity options such as soybean meal, corn, sugar, cotton, etc [4] Group 3: Implied Volatility Quantile and Volatility Spread Quantile Ranking - Implied volatility quantiles represent the current implied volatility level of a variety in history. A high quantile means high current implied volatility, and a low quantile means low [5] - The document presents the implied volatility quantile rankings and historical volatility quantile rankings of different varieties such as PTA, 50ETF, 300股指, etc [6]

Market Overview - The Nasdaq Composite Index ended a seven-month streak of gains, while the S&P 500 Index is just 1% away from its all-time high [1] - Despite a strong performance in the last five trading days of November, the overall month was marked by significant volatility, with concerns over a potential AI bubble impacting major companies [1] - Notable stock movements included a 13% drop in Meta, an 8% decline in Nvidia, and a nearly 30% fall in Oracle, while Google saw a 20% increase following strong earnings and positive news regarding AI chip deals [1] Federal Reserve Focus - Investors are closely watching the possibility of a 25 basis point rate cut at the upcoming Federal Reserve meeting, with an 86.9% probability currently estimated [2] - The Fed has entered a mandatory quiet period ahead of its meeting scheduled for December 9-10 [2] - The economic calendar is expected to normalize following a government shutdown, with upcoming reports on manufacturing, services, and private sector employment [2] December Market Sentiment - Traditionally, December is a strong month for the stock market, but this year may deviate from that trend due to various economic uncertainties [3][4] - Analysts suggest that volatility may be a more significant theme this December, with increased bearish sentiment in the options market [5] Long-term Market Outlook - Despite short-term volatility, long-term projections remain optimistic, with expectations for the S&P 500 to reach between 7,500 and 8,000 points by the end of 2026, driven by resilient economic conditions and AI advancements [9][10] - The S&P 500 companies reported a 13.4% profit growth in Q3, with large tech firms being the primary drivers of this expansion [9] - Analysts emphasize the importance of rebalancing portfolios amid increasing uncertainty and volatility [9][11]

Financial Engineering - The stock market experienced fluctuations with the Shanghai Composite Index dropping by 3.90% to close at 3834.89 during the week of November 17 to November 21, 2025, while the Shenzhen Component Index fell by 5.13% to 12538.07, with trading volume decreasing compared to the previous week [2]. - The 50ETF opened at 3.182 and closed at 3.101, reflecting a decline of 2.58% with a trading volume of 10.459 billion. The Huatai-PineBridge CSI 300 ETF opened at 4.730 and closed at 4.564, down 3.73% with a trading volume of 21.119 billion. The Southern CSI 500 ETF opened at 7.334 and closed at 6.922, a decrease of 5.67% with a trading volume of 12.803 billion [3]. Options Market - From November 17 to November 21, the average daily trading volume of 50ETF options increased compared to the previous week, with total open interest rising and the PCR ratio decreasing to 0.78, down 0.19 from the previous week. The Huatai-PineBridge CSI 300 ETF options also saw an increase in average daily trading volume and total open interest, with a PCR of 0.80, down 0.24. The Southern CSI 500 ETF options experienced similar trends with a PCR of 0.93, down 0.23 [4]. - Short-term volatility remained relatively stable with a slight upward trend, and the implied volatility increased significantly during the week, rising by approximately 5 percentage points. The implied volatility is currently above historical volatility levels, indicating a stable sentiment in the market [5]. Investment Recommendations - The market has shown a downward trend from high levels, with large-cap blue-chip stocks experiencing smaller declines while small-cap growth stocks fell by over 5%. The PCR ratio has decreased to historically low levels, and there is a growing expectation for a rebound from oversold conditions. The implied volatility curve indicates a significant increase in the slope of out-of-the-money contracts, suggesting greater expectations for future volatility [6].

Core Viewpoint - Volatility plays a crucial role in options pricing, trading, and risk management, and understanding different types of volatility can enhance trading effectiveness [1][2]. Summary by Categories Types of Volatility - There are three commonly used types of volatility: historical volatility, implied volatility, and actual volatility [1]. - Historical volatility refers to the standard deviation of price changes of the underlying asset over a past period, representing past volatility patterns [1]. - Implied volatility is derived from the option price using an options pricing model, reflecting the market's expectations of future price fluctuations of the underlying security [2]. - Actual volatility indicates the true volatility of stock prices over a future period, which is unknown at the time of trading and can only be estimated using historical volatility and current market information [2]. Trading Implications - In actual trading, implied volatility can be used to assess whether the option price is reasonable. If implied volatility is lower than the predicted actual volatility, the option is considered undervalued and can be bought. Conversely, if implied volatility is higher than the predicted actual volatility, the option is deemed overvalued and can be sold [2]. - The core of volatility trading is to profit from the price difference between implied volatility and future actual volatility [2].

Group 1 - Concerns are rising among traders that the recent rally in U.S. stocks may be coming to an end, prompting them to seek hedging protection despite the S&P 500 index being up over 12% year-to-date [1] - The options prices for the Nasdaq 100 ETF are nearing their highest levels since August 2024, indicating increased demand for hedging against potential declines [1] - The S&P 500 index recently experienced its largest weekly volatility since June, highlighting market uncertainty despite strong earnings from companies like Nvidia [1] Group 2 - Market panic was evident last Thursday, with significant fluctuations in stock prices following Nvidia's earnings report, leading to the highest volatility index (VIX) levels since April [4] - Vuk Vukovic, CIO of Oraclum Capital, noted that the market pressure is beneficial for volatility buyers, as increased volatility can lead to maximum returns [4] - The volatility risk premium remains high, with a notable gap between implied and actual volatility, suggesting ongoing market apprehension [4] Group 3 - Barclays strategists described the recent market decline as "manageable," attributing it to concerns over an AI bubble and weakened retail investor confidence [7] - The decline in tech stocks coincided with a significant drop in Bitcoin prices, which has become increasingly correlated with the Nasdaq 100 index [7] - Vukovic emphasized that Bitcoin is now viewed as a pure risk asset by Wall Street options traders, rather than a hedge against market volatility [7] Group 4 - The put-call spread for the iShares Bitcoin ETF has increased, indicating investor concerns about further price declines, despite the fund receiving over $27.6 billion in inflows this year [9] - An investor executed a risk reversal strategy in the Bitcoin ETF to protect against a potential drop in Bitcoin prices, reflecting a cautious approach to market movements [11] Group 5 - Some traders began to cash in on bets for higher volatility following significant price swings, with a notable volume of VIX options being sold [14] - Fishman, a former Goldman Sachs strategist, suggested that while some investors are liquidating hedging strategies, many others are simultaneously increasing their risk protection measures [14]