Group 1: Energy - The international oil price fell overnight, with the Brent 01 contract down 0.8%. The geopolitical risk premium of the Russia-Ukraine conflict was suppressed, and the oil price rebound due to geopolitical factors was limited. The market is expected to be weak and volatile [1] - Low-sulfur fuel oil is stronger than high-sulfur fuel oil. The low-sulfur market is supported by supply disruptions and strong diesel cracking, while the high-sulfur market is expected to face supply increases in the medium term [21] - The cost support for asphalt is weakening, and the demand is expected to decline seasonally. The market sentiment is bearish [22] - The expected import cost of liquefied petroleum gas (LPG) is rising in December. The demand from both the chemical and combustion sectors is improving, and the LPG market is expected to be strong [23] Group 2: Metals - Precious metals are oscillating at a high level. The employment data is mixed, and the Fed officials' statements are divided. The possibility of the Fed keeping interest rates unchanged in December is high. Attention should be paid to the directional breakthrough on the technical side [2] - Copper prices fell overnight due to a stronger dollar and weak demand. Short positions can be held with a stop-loss at 87,000 yuan [3] - Aluminum prices fluctuated narrowly. The Fed's interest rate cut prospects are uncertain, and the aluminum market may continue to adjust. Attention should be paid to the support of the middle Bollinger Band [4] - Zinc prices are expected to oscillate in the range of 22,200 - 23,000 yuan/ton. The inventory structure is gradually being repaired, and there is still profit potential for cross-market arbitrage [7] - Lead prices are supported by low inventory levels, but the external market is under pressure due to high inventory. The import window for aluminum ingots may open, and the upward momentum of aluminum prices is insufficient [8] - Nickel prices are weakening. The macro risk is increasing, and the support from the upstream price rebound is weakening. The inventory of nickel and stainless steel is increasing [9] - Tin prices are oscillating. The environmental rectification in Malaysia has limited impact on the market. The import of tin concentrate in China has improved slightly, but the resumption of supply from Myanmar is not strong. Short positions can be held with a stop-loss at 295,000 yuan [10] - Lithium carbonate prices are strengthening. The downstream demand is strong, and the inventory is decreasing. The technical analysis shows a range breakthrough, and a buy-on-dip strategy can be adopted [11] - Polycrystalline silicon prices are falling. The photovoltaic demand is weak, and the actual supply-demand improvement is limited. The price is expected to oscillate in the short term [12] - Industrial silicon prices are undergoing a technical correction. The downstream demand for polycrystalline silicon and organic silicon is expected to improve, which may boost the price [13] Group 3: Building Materials - Steel prices rebounded at night. The demand for rebar and hot-rolled coils is improving, but the supply pressure is gradually easing. Attention should be paid to the environmental protection restrictions in Tangshan [14] - Iron ore prices are oscillating. The supply is strong, and the demand is weak. The market is expected to be range-bound in the short term [15] - Coke and coking coal prices are expected to be weak and oscillating. The supply of carbon elements is abundant, and the downstream demand is stable, but the steel mills' profit is average, and the pressure on raw material prices is high [16][17] - Manganese silicon and silicon iron prices are falling. The market expects coal supply to increase, which may lower the cost. The demand is stable, but the supply is high, and the bottom support may weaken [18][19] Group 4: Chemicals - Urea prices are oscillating narrowly. The Indian tender results will affect the market sentiment. The agricultural demand is weakening, but the industrial demand is improving, and the inventory is decreasing [24] - Methanol prices are in a weak position. The overseas supply is high, and the demand is expected to decline. The market is expected to remain weak in the short term [25] - Pure benzene prices are rebounding, but the sustainability is uncertain. The supply pressure is easing, and the demand is expected to improve, but the export to the US faces challenges [26] - Styrene prices are supported by cost and supply reduction. The demand from the European market is strong [27] - Polypropylene, polyethylene, and propylene prices are expected to be weak. The supply is high, and the demand is low, and the supply-demand contradiction is increasing [28] - PVC and caustic soda prices are falling. The cost support is weakening, and the demand is insufficient. Attention should be paid to the cost changes and profit margins [29] - PX and PTA prices are oscillating. The supply from overseas may be affected, and the demand is weakening. The market is cautiously bullish [30] - Ethylene glycol prices are expected to be bearish. The supply is increasing, and the demand is weakening. A short strategy can be adopted [31] - Short fiber and bottle chip prices are under pressure. The demand is weakening, and the prices are expected to follow the raw material prices [32] Group 5: Agricultural Products - Soybean and soybean meal prices are oscillating. The US soybean planting area is expected to increase, and the impact of La Nina on South American soybean production needs to be monitored. A buy-on-dip strategy can be considered after the correction [36] - Soybean oil and palm oil prices are affected by the US biodiesel policy. The palm oil price may have bottomed out [37] - Rapeseed and rapeseed oil prices are under pressure. The import volume has decreased, and the demand is weak. A bearish strategy is recommended [38] - Corn prices are oscillating. The supply is increasing, and the demand is improving. The Dalian corn futures 01 contract may continue to decline [40] - Hog prices are at a low level. The futures market is trading on the potential supply pressure in the future. The pig price may form a double bottom in the first half of next year [41] - Egg prices are rebounding strongly. The spot price is stable. Attention should be paid to whether the previous price decline has ended [42] - Cotton prices are range-bound. The US cotton export sales are increasing, but the domestic demand is average. The Zhengzhou cotton futures are expected to be range-bound in the short term [43] - Sugar prices are oscillating. The international market supply is sufficient, and the domestic market is focusing on the new season's production estimate. The production in Guangxi is expected to be good [43] - Apple prices are oscillating at a high level. The short-term price is strong due to low inventory, but the long-term inventory pressure may exist. Attention should be paid to the inventory reduction [44] Group 6: Others - The container shipping index (European line) is expected to be stable in early December and may improve in late December. The 02 contract may be slightly discounted compared to the 12 contract, and the far-month contracts are expected to be low and oscillating [20] - Wood prices are oscillating. The low inventory supports the price, and a wait-and-see strategy is recommended [45] - Pulp prices are falling. The supply is abundant, and the demand is weak. The market is expected to remain weak in the short term [46] - Stock index futures are falling. The A-share market is volatile, and the external market is uncertain. A wait-and-see strategy is recommended, and attention can be paid to stable, consumer, and cyclical sectors [47] - Treasury bond futures are falling. The market is trading lightly, and the structure is differentiated. The change in market risk preference may bring new opportunities [48]

衍生品避险信号三重共振：贴水扩大、VIX 抬升且 SKEW 高位 [Table_ReportTime] 2025 年 11 月 15 日 请阅读最后一页免责声明及信息披露 http://www.cindasc.com 1 [Table_FirstAuthor] 于明明 金融工程与金融产品首席分析师 执业编号：S1500521070001 联系电话：+86 18616021459 邮 箱：yumingming@cindasc.com 证券研究报告 金工研究 [T金工ableReportType] 点评报告 于明明 金融工程与金融产品 首席分析师 执业编号：S1500521070001 联系电话：+86 18616021459 邮 箱：yumingming@cindasc.com 崔诗笛 金融工程与金融产品 金融工程分析师 执业编号：S1500523080001 联系电话：+86 18516560686 邮 箱：cuishidi@cindasc.com 孙石 金融工程与金融产品 金融工程分析师 执业编号：S1500523080010 联系电话：+86 18817366228 邮 箱：sunshi@cindasc. ...

- The report introduces the **Cinda-VIX volatility index**, which reflects investors' expectations of future volatility in the options market. The index is based on methodologies from international practices and adjusted for the characteristics of China's options market. It includes a term structure to capture volatility expectations across different time horizons. As of October 17, 2025, the 30-day Cinda-VIX values for major indices are: 22.97 for SSE 50, 24.07 for CSI 300, 35.47 for CSI 500, and 30.70 for CSI 1000[61][62][63] - The report also discusses the **Cinda-SKEW index**, which measures the skewness of implied volatility across different strike prices of options. This index helps investors understand market expectations regarding the distribution of future returns and potential tail risks. Higher SKEW values indicate increased concerns about significant market downturns. As of October 17, 2025, the SKEW values for major indices are: 103.13 for SSE 50, 102.83 for CSI 300, 99.44 for CSI 500, and 99.76 for CSI 1000[68][72][74] - The report evaluates **four futures hedging strategies** based on CSI 500, CSI 300, SSE 50, and CSI 1000 indices. These strategies include "continuous monthly hedging," "continuous quarterly hedging," and "minimum discount hedging." The strategies are tested over the period from July 22, 2022, to October 17, 2025. Key metrics such as annualized return, volatility, maximum drawdown, net value, annual turnover, and year-to-date returns are analyzed for each strategy. For example, the minimum discount strategy for CSI 500 futures achieved an annualized return of -1.54%, a volatility of 4.60%, and a maximum drawdown of -7.97%[44][47][46] - The **annualized basis adjustment model** is introduced to account for the impact of dividend expectations on futures basis. The formula used is: $ Annualized\ Basis = (Actual\ Basis + (Expected\ Dividend\ Points))/Index\ Price \times 360/Days\ to\ Maturity $ This adjustment ensures that the basis reflects the dividend impact during the contract's lifetime[19][20][21] - The report provides **dividend point forecasts** for the next year for major indices: CSI 500 (81.96), CSI 300 (83.80), SSE 50 (68.34), and CSI 1000 (62.81). Additionally, the dividend points for specific contracts are estimated, such as 2.16 for IC2511, 3.95 for IF2511, 4.91 for IH2511, and 1.19 for IM2511[9][11][15][17] - The **performance of the hedging strategies** for each index is detailed. For example, the minimum discount strategy for CSI 300 futures achieved an annualized return of 1.23%, a volatility of 3.07%, and a maximum drawdown of -4.06%. For SSE 50 futures, the minimum discount strategy achieved an annualized return of 1.73%, a volatility of 3.05%, and a maximum drawdown of -3.91%. For CSI 1000 futures, the minimum discount strategy achieved an annualized return of -4.17%, a volatility of 5.55%, and a maximum drawdown of -11.11%[52][56][58]

[Table_IndNameRptType]2 固定收益 固收周报 债市回调，如何用好套保工具？ ——利率周记（8 月第 4 周） 报告日期： 2025-08-26 [Table_Author] 首席分析师：颜子琦 执业证书号：S0010522030002 电话：13127532070 邮箱：yanzq@hazq.com [Table_Author] 分析师：洪子彦 执业证书号：S0010525060002 电话：15851599909 邮箱：hongziyan@hazq.com 主要观点： ⚫[Table_Summary] 8 月债市回调，套期保值效果如何？ 8 月以来债券市场出现明显的回调，部分投资者运用衍生品进行利率风险对 冲，而国债期货是较为合适的对冲工具，本文基于此进行探讨。 为什么要进行国债期货套期保值？如果投资者预期利率后续可能上行且手中 持有现券头寸，则可以提前下国债期货的空单，进而卖出套期保值，反之则为 买入套期保值，套保可以较好地缓释债券组合的下跌/上涨风险。 与做多/窄基差不同的是，套保面临合约存续期间的基差收敛问题。套期保值 与正反套的操作较为类似，例如正套策略即为买入现券+做空国债期 ...

Quantitative Models and Construction Methods 1. Model Name: Continuous Hedging Strategy - **Model Construction Idea**: This strategy is based on the analysis of basis convergence factors and optimization strategies, as detailed in the Cinda Derivatives Research Report Series. It aims to continuously hedge using futures contracts to minimize basis risk[44][45] - **Model Construction Process**: - **Backtesting Period**: From July 22, 2022, to July 11, 2025[45] - **Spot Side**: Hold the total return index of the corresponding underlying index[45] - **Futures Side**: Use 70% of the funds for the spot side and allocate the same nominal principal to short futures contracts, occupying the remaining 30% of the funds. After each rebalancing, recalculate the quantities for both the spot and futures sides based on the product's net value[45] - **Rebalancing Rules**: Continuously hold quarterly/monthly contracts until the remaining time to maturity is less than two days. On that day, close the position at the closing price and simultaneously short the next quarterly/monthly contract at the closing price[45] - **Assumptions**: Equal principal allocation between the spot and futures sides, excluding transaction fees, impact costs, and the indivisibility of futures contracts[45] 2. Model Name: Minimum Basis Strategy - **Model Construction Idea**: This strategy selects futures contracts with the smallest annualized basis discount to optimize hedging performance[46] - **Model Construction Process**: - **Backtesting Period**: From July 22, 2022, to July 11, 2025[46] - **Spot Side**: Hold the total return index of the corresponding underlying index[46] - **Futures Side**: Use 70% of the funds for the spot side and allocate the same nominal principal to short futures contracts, occupying the remaining 30% of the funds. After each rebalancing, recalculate the quantities for both the spot and futures sides based on the product's net value[46] - **Rebalancing Rules**: Calculate the annualized basis for all tradable futures contracts on the day of rebalancing and select the contract with the smallest basis discount for opening positions. Hold the same contract for eight trading days or until the remaining time to maturity is less than two days before selecting a new contract[46] - **Assumptions**: Equal principal allocation between the spot and futures sides, excluding transaction fees, impact costs, and the indivisibility of futures contracts[46] --- Model Backtesting Results 1. Continuous Hedging Strategy - **IC (CSI 500 Futures)**: - Annualized Return: -2.83% (monthly), -2.06% (quarterly)[48] - Volatility: 3.87% (monthly), 4.77% (quarterly)[48] - Maximum Drawdown: -8.26% (monthly), -8.34% (quarterly)[48] - Net Value: 0.9188 (monthly), 0.9405 (quarterly)[48] - Annual Turnover: 12 (monthly), 4 (quarterly)[48] - 2025 YTD Return: -3.58% (monthly), -1.35% (quarterly)[48] - **IF (CSI 300 Futures)**: - Annualized Return: 0.49% (monthly), 0.71% (quarterly)[51] - Volatility: 3.01% (monthly), 3.35% (quarterly)[51] - Maximum Drawdown: -3.95% (monthly), -4.03% (quarterly)[51] - Net Value: 1.0144 (monthly), 1.0211 (quarterly)[51] - Annual Turnover: 12 (monthly), 4 (quarterly)[51] - 2025 YTD Return: -0.89% (monthly), 0.12% (quarterly)[51] - **IH (SSE 50 Futures)**: - Annualized Return: 1.03% (monthly), 1.97% (quarterly)[54] - Volatility: 3.12% (monthly), 3.54% (quarterly)[54] - Maximum Drawdown: -4.22% (monthly), -3.76% (quarterly)[54] - Net Value: 1.0307 (monthly), 1.0593 (quarterly)[54] - Annual Turnover: 12 (monthly), 4 (quarterly)[54] - 2025 YTD Return: -0.01% (monthly), 0.99% (quarterly)[54] - **IM (CSI 1000 Futures)**: - Annualized Return: -6.04% (monthly), -4.45% (quarterly)[59] - Volatility: 4.74% (monthly), 5.79% (quarterly)[59] - Maximum Drawdown: -14.01% (monthly), -12.63% (quarterly)[59] - Net Value: 0.8469 (monthly), 0.8805 (quarterly)[59] - Annual Turnover: 12 (monthly), 4 (quarterly)[59] - 2025 YTD Return: -9.11% (monthly), -4.54% (quarterly)[59] 2. Minimum Basis Strategy - **IC (CSI 500 Futures)**: - Annualized Return: -1.06%[48] - Volatility: 4.67%[48] - Maximum Drawdown: -7.97%[48] - Net Value: 0.9692[48] - Annual Turnover: 17.28[48] - 2025 YTD Return: -0.96%[48] - **IF (CSI 300 Futures)**: - Annualized Return: 1.31%[51] - Volatility: 3.14%[51] - Maximum Drawdown: -4.06%[51] - Net Value: 1.0392[51] - Annual Turnover: 15.25[51] - 2025 YTD Return: 0.56%[51] - **IH (SSE 50 Futures)**: - Annualized Return: 1.72%[54] - Volatility: 3.14%[54] - Maximum Drawdown: -3.91%[54] - Net Value: 1.0516[54] - Annual Turnover: 15.93[54] - 2025 YTD Return: 1.04%[54] - **IM (CSI 1000 Futures)**: - Annualized Return: -3.83%[59] - Volatility: 5.59%[59] - Maximum Drawdown: -11.11%[59] - Net Value: 0.8949[59] - Annual Turnover: 15.91[59] - 2025 YTD Return: -3.89%[59] --- Quantitative Factors and Construction Methods 1. Factor Name: Cinda-VIX - **Factor Construction Idea**: Reflects investors' expectations of future volatility in the options market, with a term structure to capture expectations over different time horizons[61] - **Factor Construction Process**: Adjusted based on overseas methodologies and tailored to China's options market. The index reflects implied volatility from options pricing[61] - **Factor Evaluation**: Provides insights into market sentiment and risk expectations[61] 2. Factor Name: Cinda-SKEW - **Factor Construction Idea**: Measures the skewness of implied volatility across different strike prices, capturing market expectations of extreme events[69][70] - **Factor Construction Process**: Analyzes the slope of implied volatility curves to quantify the degree of skewness, with higher values indicating greater concern for tail risks[69][70] - **Factor Evaluation**: Useful for identifying market concerns about potential extreme downside risks[70] --- Factor Backtesting Results 1. Cinda-VIX - **30-Day VIX Values**: - SSE 50: 19.77[61] - CSI 300: 18.92[61] - CSI 500: 25.01[61] - CSI 1000: 23.34[61] 2. Cinda-SKEW - **SKEW Values**: - SSE 50: 97.27[70] - CSI 300: 99.19[70] - CSI 500: 102.27[70] - CSI 1000: 101.82[70]

Report Summary 1. Report Industry Investment Rating No information provided regarding the report industry investment rating. 2. Core View of the Report The report aims to objectively reflect the research views of futures companies and securities companies on various commodity varieties, track hot - spot varieties, analyze market investment sentiment, and summarize investment driving logics. It is based on the publicly - released research reports of institutions in the current week, and the closing price data is from last Friday, with the weekly change calculated as the change in the closing price from the previous Friday [2]. 3. Summary by Relevant Catalogs 3.1行情数据 - **Commodities**: From June 23 to June 27, 2025, commodities such as coke, copper, and iron ore had price increases, with coke rising 2.67%, copper rising 2.47%, and iron ore rising 1.92%. Commodities like corn, gold, and palm oil had price decreases, with corn falling 1.04%, gold falling 1.56%, and palm oil falling 1.87%. Crude oil had a significant drop of 12.02% [3]. - **A - shares**: During the same period, the CSI 500 rose 3.98%, the SSE 50 rose 1.27%, and the CSI 300 rose 1.95% [3]. - **Overseas Stocks**: The Nikkei 225 rose 4.55%, the Nasdaq Index rose 4.25%, and the S&P 500 rose 3.44% [3]. - **Bonds**: The 5 - year Chinese Treasury bond rose 0.64%, the 10 - year Chinese Treasury bond rose 0.30%, and the 2 - year Chinese Treasury bond rose 0.19% [3]. - **Foreign Exchange**: The euro - US dollar exchange rate rose 1.69%, the US dollar index fell 1.52%, and the US dollar central parity rate fell 0.09% [3]. 3.2大宗商品观点汇总 3.2.1宏观金融板块 - **Stock Index Futures**: Among 8 institutions' views, 2 were bullish, 1 was bearish, and 5 were for a sideways market. Bullish factors included rising Fed rate - cut expectations, a low risk - premium rate of the CSI 300, increased issuance of equity - oriented public funds, and sufficient bottom - supporting funds. Bearish factors included short - term difficulty in improving corporate fundamentals, the central bank's change in monetary policy stance, and over - heated market sentiment [4]. - **Treasury Bond Futures**: Among 7 institutions' views, 3 were bullish, 1 was bearish, and 3 were for a sideways market. Bullish factors included net liquidity injection by the central bank, weak credit and inflation data, and strong demand for bond allocation. Bearish factors included the central bank's change in monetary policy stance, the stock - bond seesaw effect, and rising long - term interest rates [4]. 3.2.2能源板块 - **Crude Oil**: Among 9 institutions' views, 3 were bullish, 2 were bearish, and 4 were for a sideways market. Bullish factors included falling US and Cushing crude oil inventories, reduced Russian exports, and geopolitical tensions. Bearish factors included the decline in geopolitical premiums, expected OPEC production increases, and weak terminal demand [5]. - **Eggs**: Among 8 institutions' views, 2 were bullish, 2 were bearish, and 4 were for a sideways market. Bullish factors included postponed peak - season stocking, approaching stocking season, potential egg - price increases, and reduced supply due to heat. Bearish factors included limited decline in laying - hen inventory, high chick - replenishment volume, high new - production capacity, and postponed downstream stocking [5]. 3.2.3有色板块 - **Copper**: Among 7 institutions' views, 5 were bullish, 0 were bearish, and 2 were for a sideways market. Bullish factors included rising Fed rate - cut expectations, improved risk appetite, and falling global visible inventories. Bearish factors included the substitution effect of recycled copper, weakening downstream procurement, and weakening terminal demand [6]. - **Methanol**: Among 7 institutions' views, 0 were bullish, 1 was bearish, and 6 were for a sideways market. Bullish factors included limited port - available goods, expected low port inventories, and increased downstream demand. Bearish factors included expected increases in Iranian imports, port inventory accumulation, potential MTO device maintenance, and a loosening supply - demand pattern [6]. 3.2.4贵金属 - **Gold**: Among 7 institutions' views, 4 were bullish, 1 was bearish, and 2 were for a sideways market. Bullish factors included rising Fed rate - cut expectations, a downward trend in real interest rates, and the strengthening of gold's safe - haven property. Bearish factors included reduced safe - haven demand, capital flowing to risky assets, and technical - level sell - offs [7]. 3.2.5黑色板块 - **Iron Ore**: Among 8 institutions' views, 2 were bullish, 2 were bearish, and 4 were for a sideways market. Bullish factors included increased molten - iron production, expected decline in overseas shipments, and improved macro sentiment. Bearish factors included rising port inventories, increased global shipments, weakening demand for five major steel products, and narrowing basis [7].

Quantitative Models and Construction Methods Model Name: Continuous Hedging Strategy - **Construction Idea**: The strategy is based on the analysis of basis convergence factors and optimization strategies[43] - **Construction Process**: - **Backtesting Parameters and Settings**: - **Backtesting Period**: July 22, 2022, to June 27, 2025[44] - **Spot End**: Hold the total return index of the corresponding underlying index[44] - **Futures End**: Use 70% of the funds for the spot end, short the corresponding nominal principal amount of CSI 500 (CSI 300, SSE 50, CSI 1000) stock index futures contracts, occupying the remaining 30% of the funds. After each rebalancing, recalculate the quantity of the spot and futures ends based on the product's net value[44] - **Rebalancing Rules**: Continuously hold quarterly/monthly contracts until the remaining days to expiration are less than 2 days. On that day, close the position at the closing price and simultaneously short the next quarterly/monthly contract at the closing price[44] - **Remarks**: Allocate equal principal to the spot and futures ends, without considering transaction fees, impact costs, and the non-infinite divisibility of futures contracts[44] - **Evaluation**: The strategy is designed to optimize hedging by continuously adjusting positions based on basis convergence factors[43] Model Name: Minimum Basis Strategy - **Construction Idea**: The strategy selects the contract with the smallest annualized basis discount for hedging[45] - **Construction Process**: - **Backtesting Parameters and Settings**: - **Backtesting Period**: July 22, 2022, to June 27, 2025[45] - **Spot End**: Hold the total return index of the corresponding underlying index[45] - **Futures End**: Use 70% of the funds for the spot end, short the corresponding nominal principal amount of CSI 500 (CSI 300, SSE 50, CSI 1000) stock index futures contracts, occupying the remaining 30% of the funds. After each rebalancing, recalculate the quantity of the spot and futures ends based on the product's net value[45] - **Rebalancing Rules**: When rebalancing, calculate the annualized basis of all tradable futures contracts on the day and select the contract with the smallest annualized basis discount for opening a position. Hold the same contract for 8 trading days or until the remaining days to expiration are less than 2 days, then select a new contract (excluding futures contracts with less than 8 days to expiration). Even if the selection result is to hold the original contract unchanged, continue to hold for 8 trading days[45] - **Remarks**: Allocate equal principal to the spot and futures ends, without considering transaction fees, impact costs, and the non-infinite divisibility of futures contracts[45] - **Evaluation**: The strategy aims to minimize basis discount by selecting the optimal contract for hedging[45] Model Backtesting Results Continuous Hedging Strategy - **CSI 500 Index Futures**: - **Annualized Return**: -2.77% (monthly), -2.08% (quarterly), -0.98% (minimum basis)[47] - **Volatility**: 3.88% (monthly), 4.77% (quarterly), 4.69% (minimum basis)[47] - **Maximum Drawdown**: -8.15% (monthly), -8.34% (quarterly), -7.97% (minimum basis)[47] - **Net Value**: 0.9215 (monthly), 0.9405 (quarterly), 0.9718 (minimum basis)[47] - **Annual Turnover**: 12 (monthly), 4 (quarterly), 17.53 (minimum basis)[47] - **2025 YTD Return**: -3.31% (monthly), -1.35% (quarterly), -0.69% (minimum basis)[47] - **CSI 300 Index Futures**: - **Annualized Return**: 0.58% (monthly), 0.77% (quarterly), 1.42% (minimum basis)[52] - **Volatility**: 3.02% (monthly), 3.37% (quarterly), 3.16% (minimum basis)[52] - **Maximum Drawdown**: -3.95% (monthly), -4.03% (quarterly), -4.06% (minimum basis)[52] - **Net Value**: 1.0171 (monthly), 1.0226 (quarterly), 1.0418 (minimum basis)[52] - **Annual Turnover**: 12 (monthly), 4 (quarterly), 15.46 (minimum basis)[52] - **2025 YTD Return**: -0.63% (monthly), 0.27% (quarterly), 0.82% (minimum basis)[52] - **SSE 50 Index Futures**: - **Annualized Return**: 1.07% (monthly), 2.04% (quarterly), 1.76% (minimum basis)[56] - **Volatility**: 3.14% (monthly), 3.57% (quarterly), 3.16% (minimum basis)[56] - **Maximum Drawdown**: -4.22% (monthly), -3.75% (quarterly), -3.91% (minimum basis)[56] - **Net Value**: 1.0315 (monthly), 1.0605 (quarterly), 1.0521 (minimum basis)[56] - **Annual Turnover**: 12 (monthly), 4 (quarterly), 15.81 (minimum basis)[56] - **2025 YTD Return**: 0.07% (monthly), 1.11% (quarterly), 1.09% (minimum basis)[56] - **CSI 1000 Index Futures**: - **Annualized Return**: -6.00% (monthly), -4.44% (quarterly), -3.79% (minimum basis)[58] - **Volatility**: 4.73% (monthly), 5.78% (quarterly), 5.60% (minimum basis)[58] - **Maximum Drawdown**: -14.00% (monthly), -12.63% (quarterly), -11.11% (minimum basis)[58] - **Net Value**: 0.8523 (monthly), 0.8843 (quarterly), 0.9009 (minimum basis)[58] - **Annual Turnover**: 12 (monthly), 4 (quarterly), 16.02 (minimum basis)[58] - **2025 YTD Return**: -8.76% (monthly), -4.36% (quarterly), -3.55% (minimum basis)[58] Quantitative Factors and Construction Methods Factor Name: Cinda-VIX - **Construction Idea**: Reflects the market's expectation of future volatility of the underlying asset[61] - **Construction Process**: - **Algorithm**: Based on the methodology in the report series "Exploring Market Sentiment Implied in the Options Market"[61] - **Data**: As of June 27, 2025, the 30-day VIX values for SSE 50, CSI 300, CSI 500, and CSI 1000 are 17.47, 16.92, 23.84, and 21.35, respectively[61] - **Evaluation**: The index accurately reflects the volatility expectations of the market for different time horizons[61] Factor Name: Cinda-SKEW - **Construction Idea**: Measures the skewness of implied volatility across different strike prices[69] - **Construction Process**: - **Algorithm**: Based on the methodology in the report series "Exploring Market Sentiment Implied in the Options Market"[69] - **Data**: As of June 27, 2025, the SKEW values for SSE 50, CSI 300, CSI 500, and CSI 1000 are 95.51, 97.95, 93.74, and 101.14, respectively[70] - **Evaluation**: The index provides valuable insights into market expectations of extreme events and tail risks[70] Factor Backtesting Results Cinda-VIX - **SSE 50**: 17.47[61] - **CSI 300**: 16.92[61] - **CSI 500**: 23.84[61] - **CSI 1000**: 21.35[61] Cinda-SKEW - **SSE 50**: 95.51[70] - **CSI 300**: 97.95[70] - **CSI 500**: 93.74[70] - **CSI 1000**: 101.14[70]

钢材：基差收敛，市场情绪反复 研究员：戚纯怡 期货从业证号：F03113636 投资咨询证号：Z0018817 目录 | 第一章 | 钢材行情总结与展望 | 2 | | --- | --- | --- | | 第二章 | 价格及利润回顾 | 5 | | 第三章 | 国内外重要宏观数据 | 12 | | 第四章 | 钢材供需以及库存情况 | 19 | GALAXY FUTURES 1 钢材总结 交易策略 GALAXY FUTURES 3 单边：维持底部震荡走势 套利：建议买入套保继续持有，建议做空热卷焦煤价差 期权：建议观望 目录 数据总结： 供给：本周螺纹小样本产量218.46万吨（-7.05），热卷小样本产量328.75万吨（+9.20）。247家钢厂高炉铁水日 均241.8万吨（-0.11），富宝49家独立电弧炉钢厂产能利用率33.9%（+1.2）。长流程现货端，华北螺纹长流程现 金含税利润在-24.10元/吨，华北长流程螺纹现金含税成本在3164.10元/吨。电炉端，华东平电电炉成本在3371（折 盘面）元左右，电炉平电利润-288.63元/吨左右，谷电成本3206（折理记）元左右，华东三线螺纹谷电利润 ...