Core Viewpoint - The article discusses suspicious trading activities that occurred before major policy announcements during Trump's second term, raising concerns about potential insider trading and market fairness [1][2]. Group 1: Suspicious Trading Activities - Multiple instances of precise trading before significant policy announcements have been identified, suggesting potential insider information leaks [1]. - Notable cases include options trading just minutes before a tariff announcement in April 2025, where traders profited as the S&P 500 index rose by 9.5% [1]. - An anonymous account made over $400,000 betting on a change in the Venezuelan regime in January, and several accounts profited approximately $1.2 million before an Iranian event in February [1]. - Recently, traders placed $500 million in oil positions just minutes before a policy release, indicating a pattern of abnormal trading behavior [1]. Group 2: Regulatory Response and Challenges - The White House stated that government ethics rules prohibit profiting from non-public information, labeling the related accusations as "baseless" [2]. - The CFTC is monitoring unusual trading but has not confirmed whether an investigation has been initiated, while the SEC and the Justice Department have not responded [2]. - Regulatory challenges exist, particularly in the commodities market where insider trading enforcement is rare, and oversight of prediction markets is inadequate [2]. - The complexity of multiple regulatory agencies involved creates uncertainty in legal applicability, making thorough investigations difficult [2].

Core Viewpoint - The article discusses the impact of macroeconomic factors, geopolitical risks, and commodity price volatility on asset allocation strategies for businesses in 2026, emphasizing the need for companies to adapt and utilize derivative tools to enhance competitiveness in uncertain environments [6][8][9]. Macroeconomic Perspective - The macroeconomic forum will feature discussions on the 2026 economic outlook and investment strategies for major asset classes, highlighting the importance of understanding global economic trends [14][16][17]. Industry Perspective - The article outlines three closed-door sessions focusing on different sectors: non-ferrous metals, black metals, and new energy, each addressing specific industry challenges and potential solutions [7][9][10]. - In the non-ferrous metals session, the core issue revolves around the transformation of demand and the potential for a bull market in 2026, with a focus on how companies can leverage derivative tools [8][18]. - The black metals session will explore the impact of geopolitical risks and the dual carbon goals on supply-demand dynamics, aiming to identify opportunities and risks in the steel market [9][19]. - The new energy session will discuss the supply-demand shifts in lithium and silicon, emphasizing the volatility in prices and the strategic use of derivatives to maintain competitive advantages [10][22]. Practical Applications - The article emphasizes the need for companies to adopt practical solutions to navigate the increasing uncertainty in global markets, particularly through the use of futures and options [6][8][9]. - Each industry session will provide actionable insights and strategies for businesses to enhance their market positioning amidst changing economic conditions [7][9][10].

1. Report Industry Investment Rating The report does not provide an overall investment rating for the options market. However, it offers rating criteria for different types of bonds: - **Interest - rate bonds**: Based on the net price change of interest - rate bonds within 3 months after the report date. Ratings include "Overweight" (interest risk decreases, net price has upward potential), "Neutral" (interest risk is stable, net price has minor fluctuations), and "Underweight" (interest risk increases, net price has downward potential) [93]. - **Credit bonds**: Based on the net price change of credit bonds within 3 months after the report date. Ratings include "Overweight" (credit risk decreases, net price has upward potential), "Neutral" (credit risk is stable, net price has minor fluctuations), and "Underweight" (credit risk increases, net price has downward potential) [94]. - **Convertible bonds**: Based on the price change of convertible bonds relative to the CSI Convertible Bond Index within 3 months after the report date. Ratings include "Overweight" (convertible bonds outperform the CSI Convertible Bond Index), "Neutral" (convertible bonds perform in line with the CSI Convertible Bond Index), and "Underweight" (convertible bonds underperform the CSI Convertible Bond Index) [95]. 2. Core View of the Report In a volatile market environment, options, with the natural advantage of separating rights and obligations, can provide opportunities to seek excess returns while controlling risks. Attention should be paid to the effect of expanding the investment boundary brought by options and related investment portfolios [1]. 3. Summary by Relevant Catalogs 3.1 Option Overview - **Option Definition and Key Elements**: An option contract is a standardized or non - standardized contract that allows the buyer the right to buy or sell an agreed underlying asset (including futures contracts) at a specific price in the future. Key elements include the underlying asset, right type, exercise price, and expiration date. Options are "right" certificates rather than "ownership" certificates, and the transaction is the transfer of rights and obligations, not the transfer of real - asset ownership [1][19]. - **Classification of Domestic Options**: Chinese options can be divided into on - exchange options and over - the - counter (OTC) options. OTC options are mostly non - standardized and are usually customized between institutional investors, and individual investors generally cannot participate. On - exchange options can be further divided into two categories: ETF options based on securities accounts with ETFs as underlying assets, mainly listed on the Shanghai and Shenzhen Stock Exchanges; and options based on futures accounts, including stock index options listed on the China Financial Futures Exchange and commodity options listed on various commodity exchanges [1][24]. - **Advantages and Disadvantages of Option Investment**: Advantages include the separation of rights and obligations, which can improve capital use efficiency; the separation of risk and return, which can prevent extreme price - fluctuation risks; and the ability to combine with basic products to enrich investment strategies. Disadvantages include the potential for the time value of options to be wasted, the influence of volatility on option value, and the requirement for both correct direction and timing in option investment [2][3] 3.2 Option Pricing and Greek Values - **BS Formula for Option Pricing**: The Black - Scholes (BS) model is the theoretical basis for pricing European options globally. In reality, since the volatility of the underlying asset in the future cannot be observed, the concept of implied volatility is introduced, which is a core factor affecting option prices [32][33]. - **Delta**: Measures the change in option price caused by a 1 - unit change in the price of the underlying asset. It reflects the linear sensitivity of the option price to the price of the underlying asset. It is mainly used to linearly reflect the impact of small - scale price changes of the underlying asset on the option price and can be used to construct investment portfolios to hedge risks [34][36]. - **Gamma**: The second - order partial derivative of the option price with respect to the price of the underlying asset. It measures the change in Delta caused by a 1 - unit change in the price of the underlying asset. It is mainly used to prevent extreme price - fluctuation risks [38][39]. - **Theta**: Measures the change in option price caused by a 1 - unit reduction in the remaining time. The time value of an option is constantly decreasing, so Theta is always negative. It represents the cost for the buyer and the income for the seller [41][42]. - **Vega**: Measures the relationship between a 1 - unit change in the volatility of the underlying asset and the change in option price. Vega is always positive, indicating a positive correlation between option price and volatility. Implied volatility can be used as a warning indicator of potential risks [43][50]. - **Rho**: Measures the change in option price caused by a 1 - unit change in the risk - free interest rate. In the ideal conditions defined by the BS formula, the Rho of a call option is positive, and that of a put option is negative. However, for commodity options, the situation may be different [55]. 3.3 Option Trading Strategy Analysis - **Single - Option Trading Strategy**: Buying a call/put option indicates a bullish/bearish view, while selling a call/put option indicates a non - bullish/non - bearish view. Buying options can control risks while building positions. Options may have a higher leverage ratio than futures, showing both safety and risk. For investment, options close to at - the - money should be selected; for speculation, relatively out - of - the - money options are preferred. Option investment is more suitable for short - term trading [7][68]. - **Multi - Option Portfolio Strategy**: By using two or more options to construct an investment portfolio, investors can qualitatively express bullish/bearish views and quantitatively describe the degree of bullishness/bearishness. For example, a bull call spread can express a moderately bullish view, and a bear put spread can express a moderately bearish view. For assets in a long - term sideways state, investors can construct volatility portfolios through double - opening (double - buying or double - selling) strategies. The timing of opening positions is the key to the profitability of double - opening strategies [74][86]. - **Option and Spot Portfolio Strategy**: Options can be combined with spot assets to control risk exposure and achieve conditional risk hedging. Buying spot and put options can form a protective put portfolio, and buying spot and selling call options can form a covered call portfolio. The choice of hedging ratio is crucial [87][90].

Report Summary 1. Report Industry Investment Rating No relevant information provided. 2. Report Core View The report analyzes the financial market, including important indices, ETFs, and options. For major ETFs and stock index options such as Shanghai 50ETF, Shanghai 300ETF, ChiNext ETF, and CSI 1000 Index, it suggests no directional strategies but recommends constructing a short call + short put option combination strategy to obtain option time - value returns and dynamically adjust positions [8][18][29][39]. 3. Summary by Related Catalogs 3.1 Financial Market Important Index Overview - The Shanghai Composite Index closed at 3813.28, down 143.77 points or 3.63%, with a trading volume of 1086.248 billion yuan, an increase of 121.385 billion yuan [3]. - The Shanghai 50 Index closed at 2792.33, down 91.54 points or 3.17%, with a trading volume of 173.993 billion yuan, an increase of 38.262 billion yuan [3]. - The CSI 300 Index closed at 4418.00, down 149.02 points or 3.26%, with a trading volume of 671.720 billion yuan, an increase of 56.257 billion yuan [3]. - The CSI 1000 Index closed at 7409.11, down 374.33 points or 4.81%, with a trading volume of 505.938 billion yuan, an increase of 19.824 billion yuan [3]. - The CSI 500 Index closed at 7440.75, down 319.29 points or 4.11%, with a trading volume of 451.939 billion yuan, an increase of 34.825 billion yuan [3]. - The Shenzhen Component Index closed at 13345.51, down 520.69 points or 3.75%, with a trading volume of 696.825 billion yuan, a decrease of 14.046 billion yuan [3]. 3.2 Option Underlying ETF Market Overview - Shenzhen 100ETF closed at 3.397, down 0.107 or 3.05%, with a trading volume of 694,100,000 shares, an increase of 124,300,000 shares, and a trading value of 2.38 billion yuan, an increase of 0.37 billion yuan [4]. - ChiNext ETF closed at 3.228, down 0.113 or 3.38%, with a trading volume of 16,832,900,000 shares, a decrease of 2,763,800,000 shares, and a trading value of 55.05 billion yuan, a decrease of 11.08 billion yuan [4]. - Shenzhen 300ETF closed at 4.619, down 0.159 or 3.33%, with a trading volume of 3,625,400,000 shares, an increase of 1,676,100,000 shares, and a trading value of 16.86 billion yuan, an increase of 7.49 billion yuan [4]. - Shenzhen 500ETF closed at 2.984, down 0.129 or 4.14%, with a trading volume of 2,813,300,000 shares, an increase of 229,300,000 shares, and a trading value of 8.51 billion yuan, an increase of 0.35 billion yuan [4]. - Shanghai 50ETF closed at 2.868, down 0.089 or 3.01%, with a trading volume of 13,985,700,000 shares, an increase of 4,915,200,000 shares, and a trading value of 40.33 billion yuan, an increase of 13.31 billion yuan [4]. - Shanghai 300ETF closed at 4.430, down 0.146 or 3.19%, with a trading volume of 15,235,000,000 shares, an increase of 7,622,200,000 shares, and a trading value of 67.99 billion yuan, an increase of 32.89 billion yuan [4]. - Huaxia Science and Technology Innovation 50ETF closed at 1.329, down 0.059 or 4.25%, with a trading volume of 43,090,300,000 shares, an increase of 14,044,400,000 shares, and a trading value of 58.05 billion yuan, an increase of 17.23 billion yuan [4]. - E Fund Science and Technology Innovation 50ETF closed at 1.291, down 0.054 or 4.01%, with a trading volume of 13,204,800,000 shares, an increase of 5,649,800,000 shares, and a trading value of 17.25 billion yuan, an increase of 6.95 billion yuan [4]. 3.3 Shanghai 50ETF (510050.SH) - Market Data and Strategy Recommendations - **Option Factor - Volume and Open Interest PCR**: The trading volume of call options was 1,185,150 (an increase of 498,837), the open interest was 1,080,210 (an increase of 126,096); the trading volume of put options was 998,446 (an increase of 535,802), the open interest was 585,348 (a decrease of 33,538). The trading volume PCR was 0.84 (an increase of 0.17), and the open interest PCR was 0.54 (a decrease of 0.11) [5]. - **Option Factor - Support and Resistance**: The support level was 2.9, and the resistance level was 3.1 [8]. - **Strategy Recommendations**: No directional strategy. For the volatility strategy, construct a short call + short put option combination strategy, such as S_510050_2604P2850 and S_510050_2604C3200 [8]. 3.4 Shanghai 300ETF (510300.SH) - Market Data and Strategy Recommendations - **Option Factor - Volume and Open Interest PCR**: The trading volume of call options was 1,145,790 (an increase of 305,209), the open interest was 934,512 (an increase of 48,942); the trading volume of put options was 1,117,880 (an increase of 431,890), the open interest was 542,440 (a decrease of 101,528). The trading volume PCR was 0.98 (an increase of 0.16), and the open interest PCR was 0.58 (a decrease of 0.15) [15]. - **Option Factor - Support and Resistance**: The support level was 4.6, and the resistance level was 4.7 [18]. - **Strategy Recommendations**: No directional strategy. For the volatility strategy, construct a short call + short put option combination strategy, such as S_510300_2604P4400 and S_510300_2604C4800 [18]. 3.5 ChiNext ETF (159915) - Market Data and Strategy Recommendations - **Option Factor - Volume and Open Interest PCR**: The trading volume of call options was 1,108,700 (a decrease of 195,318), the open interest was 803,789 (an increase of 109,711); the trading volume of put options was 1,639,080 (an increase of 53,516), the open interest was 895,003 (a decrease of 106,691). The trading volume PCR was 1.48 (an increase of 0.26), and the open interest PCR was 1.11 (a decrease of 0.33) [26]. - **Option Factor - Support and Resistance**: The support level was 3.1, and the resistance level was 3.3 [29]. - **Strategy Recommendations**: No directional strategy. For the volatility strategy, construct a short call + short put option combination strategy, such as S_159915_2604P3200 and S_159915_2604C3500 [29]. 3.6 CSI 1000 Index (MO) - Market Data and Strategy Recommendations - **Option Factor - Volume and Open Interest PCR**: The trading volume of call options was 229,665 (a decrease of 23,996), the open interest was 157,086 (an increase of 23,941); the trading volume of put options was 185,731 (a decrease of 27,863), the open interest was 116,961 (an increase of 2,659). The trading volume PCR was 0.81 (a decrease of 0.03), and the open interest PCR was 0.74 (a decrease of 0.11) [36]. - **Option Factor - Support and Resistance**: The support level was 7100, and the resistance level was 8000 [38]. - **Strategy Recommendations**: No directional strategy. For the volatility strategy, construct a short call + short put option combination strategy, such as S_MO2604P7400 and S_MO2604C8400 [39].

Quantitative Models and Construction Methods - **Model Name**: Dividend-adjusted futures basis model **Model Construction Idea**: The model adjusts the futures basis by incorporating the impact of expected dividends during the contract's lifespan[8][17] **Model Construction Process**: 1. The futures basis is defined as the difference between the futures contract closing price and the underlying index closing price[17]. 2. The adjustment formula is: $ \text{Adjusted Basis} = \text{Actual Basis} + \text{Expected Dividends during Contract's Lifespan} $[18] 3. Annualized basis calculation: $ \text{Annualized Basis} = (\text{Actual Basis} + \text{Expected Dividend Points}) / \text{Index Price} \times 360 / \text{Days Remaining in Contract} $[19] **Model Evaluation**: The model effectively accounts for dividend impacts, providing a more accurate representation of futures pricing dynamics[8][17] - **Model Name**: Continuous hedging strategy **Model Construction Idea**: This strategy leverages the convergence of futures basis over time by continuously rolling over contracts[40] **Model Construction Process**: 1. Backtesting period: July 22, 2022, to March 20, 2026[41] 2. Portfolio allocation: 70% of funds in the spot index and 30% in short futures contracts[41] 3. Rebalancing rule: Roll over contracts when fewer than two days remain until expiration, using the closing price to open new positions in the next contract[41] **Model Evaluation**: The strategy provides stable returns but is sensitive to transaction costs and market liquidity[40][41] - **Model Name**: Minimum basis strategy **Model Construction Idea**: This strategy selects futures contracts with the smallest annualized basis for hedging[42] **Model Construction Process**: 1. Backtesting period: July 22, 2022, to March 20, 2026[42] 2. Portfolio allocation: 70% of funds in the spot index and 30% in short futures contracts[42] 3. Selection rule: Calculate the annualized basis for all available contracts and choose the one with the smallest basis[42] 4. Holding period: Hold the selected contract for eight trading days or until fewer than two days remain until expiration[42] **Model Evaluation**: The strategy reduces basis risk but requires frequent rebalancing, increasing operational complexity[42] Model Backtesting Results - **Dividend-adjusted futures basis model**: - IC contract: Current basis -7.30%, weekly high -5.81%[20] - IF contract: Current basis -4.51%, weekly high -4.23%[25] - IH contract: Current basis -0.54%, weekly high 0.26%[30] - IM contract: Current basis -8.91%, weekly low -9.69%[35] - **Continuous hedging strategy**: - IC: Annualized return -3.27%, volatility 3.82%, max drawdown -12.10%, net value 0.8862[44] - IF: Annualized return 0.25%, volatility 2.85%, max drawdown -3.95%, net value 1.0093[49] - IH: Annualized return 0.99%, volatility 2.89%, max drawdown -4.22%, net value 1.0364[53] - IM: Annualized return -6.17%, volatility 4.30%, max drawdown -21.04%, net value 0.7936[55] - **Minimum basis strategy**: - IC: Annualized return -1.66%, volatility 4.55%, max drawdown -8.56%, net value 0.9412[44] - IF: Annualized return 1.16%, volatility 2.99%, max drawdown -4.06%, net value 1.0428[49] - IH: Annualized return 1.62%, volatility 2.94%, max drawdown -3.91%, net value 1.0599[53] - IM: Annualized return -3.95%, volatility 5.13%, max drawdown -14.41%, net value 0.8638[55] Quantitative Factors and Construction Methods - **Factor Name**: VIX (Volatility Index) **Factor Construction Idea**: Reflects market expectations of future volatility based on option prices[58] **Factor Construction Process**: 1. Adjusted methodology based on international practices and domestic market characteristics[58] 2. Incorporates term structure to show volatility expectations across different time horizons[58] **Factor Evaluation**: Provides valuable insights into market sentiment and risk levels[57][58] - **Factor Name**: SKEW (Skewness Index) **Factor Construction Idea**: Measures the asymmetry in implied volatility across different strike prices, indicating market sentiment towards extreme events[62] **Factor Construction Process**: 1. Tracks the slope of implied volatility curves for options with varying strike prices[62] 2. Higher values indicate increased concern about downside risks, while lower values suggest reduced tail risk[62] **Factor Evaluation**: Useful for assessing market expectations of tail risks and extreme events[62] Factor Backtesting Results - **VIX**: - 30-day VIX levels: - SSE 50: 21.61 (74% percentile since 2024)[58] - CSI 300: 20.97 (69% percentile since 2024)[58] - CSI 500: 34.19 (91% percentile since 2024)[58] - CSI 1000: 28.52 (65% percentile since 2024)[58] - **SKEW**: - 30-day SKEW levels: - SSE 50: 100.79 (72.2% percentile since 2024)[63] - CSI 300: 103.11 (73.1% percentile since 2024)[63] - CSI 500: 99.94 (44.0% percentile since 2024)[63] - CSI 1000: 98.68 (13.1% percentile since 2024)[63]

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - The report presents the price changes of various commodities on March 18, 2026, compared to March 17, 2026, including chemical and agricultural products [4]. - It also covers macro - economic news such as international relations, inflation data, and energy - related events [7][8][9]. - For different commodities, it analyzes their fundamentals, price trends, and provides corresponding trading strategies and risk points [11][12][13][14][15][16][17]. - In the financial market, it analyzes the performance of stock index futures and options, and gives trading suggestions [16][17]. 3. Summary by Relevant Catalogs 3.1 Chemical Products - **Price Changes**: On March 18, 2026, compared to March 17, 2026, prices of some chemicals like methanol, plastic, and polypropylene PP increased, while natural rubber, 20 - number rubber, and styrene decreased [4]. - **Analysis of Specific Products**: - **Caustic Soda**: The market has an optimistic price expectation, but attention should be paid to overseas device dynamics, export orders, inventory changes, and device maintenance progress. There is a risk of near - month contract callback if the futures price is much higher than the spot price [13]. - **Coking Coal and Coke**: The short - term trend is still strong, with an upward - biased oscillation. The demand side is supported by the expected increase in daily iron - water production [13][14]. - **Double - offset Paper**: The price dropped, and the supply - demand pattern is loose. It is expected to continue the weak oscillation, and there is a risk of further price decline if demand does not improve [14]. - **Urea**: The market price is weakly stable. Supply is relatively sufficient, and industrial demand is marginally increasing. There is a risk of futures price callback at high levels [14]. 3.2 Agricultural Products - **Price Changes**: On March 18, 2026, compared to March 17, 2026, prices of some agricultural products like yellow soybean No. 1, yellow soybean No. 2, and soybean meal decreased, while white sugar increased [4]. - **Analysis of Specific Products**: - **White Sugar**: After a technical correction, attention should be paid to the support at 5400 yuan/ton. There are risks from domestic supply pressure and overall commodity market sentiment [11]. - **Corn**: It is expected to maintain a high - level oscillation in the short term. Attention should be paid to the support in the 2360 - 2370 area [11]. - **Peanut**: It is expected to maintain a high - level oscillation in the short term. It is recommended to wait and see or conduct range operations [11]. - **Pork**: The overall spot market has an oversupply situation, and the futures price is higher than the spot price, constantly seeking new support through decline [11]. - **Egg**: The spot price has ups and downs. The futures price is short - term oscillating strongly, but the upward space is limited. It is recommended to try short - selling on rebounds [13]. - **Red Date**: The spot price is temporarily stable, and it is recommended to sell high and buy low [13]. - **Cotton**: It is in a range - bound oscillation. It is advisable to consider long - position layout near the lower limit of the price range, but pay attention to the pressure from the high internal - external price difference [13]. 3.3 Non - ferrous Metals - **Precious Metals**: Gold and silver prices are oscillating at high levels with large fluctuations. There are both supportive and suppressive factors [14]. - **Copper and Aluminum**: The aluminum price is relatively strongly supported by fundamentals, and the copper - aluminum price ratio may continue to return [14]. - **Alumina**: The supply - demand situation has not changed much. There are concerns about the supply restriction of bauxite in Guinea, and a long - position bias at low prices is recommended [14][15]. 3.4 Steel and Iron Alloys - **Rebar and Hot - rolled Coil**: The steel price is oscillating slightly upward. The raw material price is strong, providing cost support. Attention should be paid to the downstream demand and inventory changes [15]. - **Ferroalloys**: The alloys rebounded strongly on Tuesday. They are indirectly benefited from the energy premium caused by geopolitical conflicts. It is recommended to take a long - position bias on corrections, but not to chase high prices [15]. 3.5 Lithium Carbonate - The price is in a wide - range oscillation. It is recommended to conduct range operations, paying attention to the pressure at 160,000 yuan/ton and the support at 154,000 yuan/ton [15][17]. 3.6 Option Finance - **Stock Index Options**: On March 17, A - share market indexes declined. Different stock index futures and options have different performance in terms of position, trading volume, and basis. Trend investors can pay attention to the strength - weakness arbitrage opportunities between varieties, and volatility investors can hold short - straddle positions to short volatility [16][17]. - **Stock Index**: The market is affected by multiple factors such as the Middle - East conflict and energy prices. It is recommended to control positions, pay attention to the low - volume signals of mainstream wide - based ETFs, and conduct low - absorption and rolling operations [17][19].

Investment Rating - The report maintains a "Buy" rating for the company [5][51]. Core Views - As of March 9, 2026, the company's PE ratio is 29.06x, which is at the 12th percentile historically since 2016, indicating a certain level of value for allocation. It is expected that with the continuous enhancement of the mutual access policy in the Hong Kong capital market, liquidity in the Hong Kong stock market will continue to rise, leading to an increase in overall market activity and valuation. The company is projected to achieve revenue and other income of HKD 365 billion, 391 billion, and 413 billion for 2026, 2027, and 2028 respectively, with net profit attributable to shareholders of HKD 226 billion, 241 billion, and 256 billion, corresponding to PE valuations of 22.9x, 21.4x, and 20.2x respectively [2][51]. Summary by Sections Market Environment - The Hong Kong stock market remains active, with the overall trading volume at historical highs. In February, the average daily trading (ADT) for the Hong Kong Stock Exchange was HKD 2,468 billion, reflecting a month-on-month decrease of 9.4% and a year-on-year decrease of 17.0%. The Northbound trading ADT was HKD 3,807 billion, down 16.1% month-on-month but up 45.2% year-on-year, while Southbound trading ADT was HKD 1,142 billion, down 14.1% month-on-month and down 28.6% year-on-year [6][16]. Derivatives Market - In February, both futures and options trading volumes increased month-on-month. The average daily volume (ADV) for futures was 68.4 million contracts, up 3.8% month-on-month but down 25.5% year-on-year. The ADV for options was 105.0 million contracts, up 0.2% month-on-month but down 21.9% year-on-year [19][20]. Primary Market - The IPO scale in the Hong Kong stock market saw significant growth in February, with a total of 24 new stocks listed, raising a total of HKD 923 billion, which is a year-on-year increase of 1052.4%. The average size of each IPO was HKD 38.5 billion, up 332.2% year-on-year. Notably, 42% of the new listings were from the information technology sector, contributing 48% of the total fundraising [31][32]. Investment Income - As of the end of February, the relevant interest rates for investment income showed a general decline. The 6-month HIBOR was 2.73%, the 1-month HIBOR was 2.41%, and the overnight HIBOR was 2.55%, reflecting month-on-month changes of -0.16 percentage points, -0.20 percentage points, and +0.37 percentage points respectively [41].

Group 1: Core Concepts - 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 options above and below the at - the - money option of the main contract month, reflecting the IV change trend of the main contract [3] - 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 than HV [3] - The 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 related to the IV index and HV [5] Group 2: Data Visualization - There are graphs showing the IV, HV, and IV - HV differences of various options, including 300 - stock index, 1000 - stock index, 500ETF, soybean, corn, cotton, rubber, iron ore, PTA, crude oil, PVC, rebar, urea, rapeseed, and palm oil options [4] - There is a graph presenting the implied volatility quantile ranking and historical volatility quantile ranking of some options such as PTA and 50ETF [6][7]

- The report discusses the activity levels of major stock index futures (CSI 300, SSE 50, CSI 500, and CSI 1000) which stabilized in December 2025, saw a significant increase in January 2026, and a slight decline in February 2026[3][13] - The basis ratio for IF and IM contracts fluctuated around zero, indicating limited bearish forces and a neutral to optimistic market sentiment[3][23] - The 10-year treasury futures showed a slight fluctuation in February, with an implied yield of about 1.67%, lower than the spot treasury yield of about 1.8%[4][41] - The VIX index for major indices decreased in February, indicating a decline in expected future volatility[5][57] - The PCR indicator for SSE 50 and CSI 300 indices fluctuated at low levels in February, indicating a neutral market sentiment[5][66] - The long-term macro signal turned positive as the 10-year US Treasury yield fell to 3.95%, below the 18-month average of about 4.21%, indicating a temporary easing of global interest rate pressures[6][75] - The RMB exchange rate has been appreciating since the second half of 2025, with the USDCNY falling from 7.19 to 6.86, maintaining a positive short-term capital signal[6][76] - The overall macro interest rate environment and exchange rate capital conditions point to an improvement in risk appetite, providing some support for the A-share market[6][77]

Core Viewpoint - Investors in Tidewater Inc. (TDW) should closely monitor the stock due to significant movements in the options market, particularly the April 17, 2026 $25 Call, which has high implied volatility [1] Group 1: Implied Volatility - Implied volatility indicates the market's expectations for future price movements, with high levels suggesting potential significant changes or upcoming events that could lead to a rally or sell-off [2] - Options traders often seek high implied volatility options to sell premium, aiming to benefit from the decay of options value if the underlying stock does not move as much as anticipated [4] Group 2: Analyst Sentiment - Tidewater currently holds a Zacks Rank 2 (Buy) in the Oil and Gas - Integrated - United States industry, which is positioned in the bottom 13% of the Zacks Industry Rank [3] - Over the past 60 days, no analysts have increased earnings estimates for the current quarter, while one has decreased them, resulting in a drop in the Zacks Consensus Estimate from 80 cents per share to 75 cents [3]