Quantitative Models and Construction Methods - **Model Name**: Dividend Forecast Model **Model Construction Idea**: The model aims to predict the impact of dividends on index futures pricing by estimating the dividend distribution of index constituent stocks and its influence on futures contracts[9][20][23] **Model Construction Process**: 1. **Estimate Net Profit of Constituent Stocks**: Use annual reports, earnings forecasts, and other financial data to estimate the net profit of each constituent stock[21][23] 2. **Calculate Pre-Tax Total Dividends**: Based on the assumption that the dividend payout ratio remains constant, calculate the total pre-tax dividends for each stock[24][27] 3. **Assess Dividend Impact on Index**: - Dividend Yield = Total Post-Tax Dividends / Latest Market Value - Dividend Points = Stock Weight × Dividend Yield - Adjust stock weights using the formula: $$\mathrm{w_{it}={\frac{w_{i0}\times\mathrm{\(\1+R\)}}{\sum_{1}^{n}w_{i0}\times\mathrm{\(\1+R\)}}}}$$ where \(w_{i0}\) is the initial weight, and \(R\) is the stock's return over the period[24] 4. **Predict Dividend Impact on Futures Contracts**: - Estimate ex-dividend dates based on historical patterns or announced schedules - Aggregate all dividends before the contract's settlement date to calculate the total impact on futures pricing[25][26][28] **Model Evaluation**: The model provides a systematic approach to quantify dividend impacts, but its accuracy depends on the reliability of assumptions and historical data[9][20][23] - **Model Name**: Futures Pricing Model with Discrete Dividends **Model Construction Idea**: This model calculates the theoretical price of index futures by incorporating the present value of discrete dividend distributions during the contract period[29] **Model Construction Process**: - Formula: $$F_t = (S_t - D)(1 + r)$$ where \(F_t\) is the futures price, \(S_t\) is the spot price, \(D\) is the present value of dividends, and \(r\) is the risk-free rate[29] **Model Evaluation**: The model is effective for scenarios with distinct dividend distributions but may not capture continuous dividend flows accurately[29] - **Model Name**: Futures Pricing Model with Continuous Dividends **Model Construction Idea**: This model assumes dividends are distributed continuously over time and calculates the theoretical futures price accordingly[30] **Model Construction Process**: - Formula: $$F_t = S_t e^{(r-d)(T-t)}$$ where \(F_t\) is the futures price, \(S_t\) is the spot price, \(r\) is the risk-free rate, \(d\) is the annualized dividend yield, and \(T-t\) is the time to maturity[30] **Model Evaluation**: Suitable for markets with frequent and evenly distributed dividends, providing a more realistic pricing framework in such scenarios[30] Model Backtesting Results - **Dividend Forecast Model**: - Remaining dividend impact on July contracts: IH (0.82%), IF (0.57%), IC (0.16%), IM (0.14%)[15] - Annualized hedging costs (excluding dividends, 365-day basis): IH (-4.89%), IF (-2.72%), IC (12.34%), IM (16.97%)[6][10][12][13][14] - **Futures Pricing Model with Discrete Dividends**: - Not explicitly tested in the report - **Futures Pricing Model with Continuous Dividends**: - Not explicitly tested in the report Quantitative Factors and Construction Methods - **Factor Name**: Dividend Yield Factor **Factor Construction Idea**: Measures the dividend yield of index constituent stocks to assess their contribution to the overall index dividend impact[24] **Factor Construction Process**: - Formula: Dividend Yield = Total Post-Tax Dividends / Latest Market Value[24] **Factor Evaluation**: Provides a direct measure of dividend contribution but may be sensitive to market value fluctuations[24] - **Factor Name**: Stock Weight Adjustment Factor **Factor Construction Idea**: Adjusts the weight of each stock in the index based on its return over a specified period[24] **Factor Construction Process**: - Formula: $$\mathrm{w_{it}={\frac{w_{i0}\times\mathrm{\(\1+R\)}}{\sum_{1}^{n}w_{i0}\times\mathrm{\(\1+R\)}}}}$$ where \(w_{i0}\) is the initial weight, and \(R\) is the stock's return over the period[24] **Factor Evaluation**: Enhances the accuracy of dividend impact calculations by accounting for stock performance dynamics[24] Factor Backtesting Results - **Dividend Yield Factor**: - Not explicitly tested in the report - **Stock Weight Adjustment Factor**: - Not explicitly tested in the report

Report Industry Investment Ratings - Not provided in the given content Core Views - The index of the stock index sector has stable support below and needs a driver to break through above. The A - share market opened lower and rebounded, showing a phased stabilization. The international situation is changeable in the short - term, and the index will mainly fluctuate within a range. The bond market may be affected by the central bank's bond - buying situation at the end of the month. Precious metals are affected by factors such as the Middle - East geopolitical situation and the Fed's monetary expectations, with gold and silver prices fluctuating in certain ranges. Various industrial and agricultural products are affected by factors such as supply and demand, geopolitical risks, and seasonal factors, showing different price trends and market outlooks [2] Summary by Related Catalogs Stock Index - The index has stable lower support and needs a driver for upward breakthrough. A - shares opened lower and rebounded, showing phased stabilization. It is recommended to try to buy the deeply - discounted 09 contract of the CSI 1000 on dips and sell the 09 call option around 6300 to form a covered combination [2] Treasury Bonds - Pay attention to the central bank's bond - buying situation at the end of the month. If bond - buying restarts, the 10 - year Treasury bond interest rate may break through 1.6%. Otherwise, the bond market may face phased callback pressure. In the unilateral strategy, appropriate long positions can be configured on adjustments for Treasury bond futures. In the cash - and - carry strategy, pay attention to the positive - carry strategy of the TS2509 contract [2] Precious Metals - Short - term news affects gold prices to fluctuate widely between $3300 - $3400. It is recommended to continue selling out - of - the - money call options. Silver prices are fluctuating in the range of $35.5 - $37. Try the double - selling strategy of out - of - the - money options for Shanghai silver [2] Shipping Index (European Line) - Low airline quotes drive the EC futures to fall. The 08 main contract fluctuates narrowly between 1900 - 2200. Unilateral operations should be on the sidelines for now. Pay attention to the long - materials and short - raw - materials arbitrage operation [2] Steel - Industrial material demand and inventory are deteriorating. Pay attention to the decline in apparent demand. For the iron ore market, iron - making water remains at a high level, and terminal demand shows resilience. Try short - selling on rebounds, with the upper pressure level around 720. For coking coal, the market auction non - successful bid rate has decreased, coal mine production has declined from the high level, and spot prices are weakly stable. Consider going long on coking coal at low prices or long coking coal and short coke. For coke, the fourth round of price cuts by mainstream steel mills on June 23 has been implemented, and the price is close to the phased bottom. Consider long coking coal and short coke [2] Non - ferrous Metals - Copper, aluminum, zinc, nickel, stainless steel, and other non - ferrous metals show different price trends and market characteristics. For example, copper has a narrow - range fluctuation in the main contract, and it is recommended to pay attention to the supply - side recovery rhythm and adopt a high - selling strategy for tin based on inventory and import data inflection points [2] Energy - For crude oil, geopolitical risks are still uncertain in the short - term, and fundamental factors need to be considered in the long - term. Unilateral operations should wait for the situation to become clearer. For urea, short - term demand cannot support high prices, and pay attention to agricultural demand and export conditions in July. For PX and PTA, they may be dragged down by the fall in oil prices due to the decline in geopolitical premiums [2] Chemicals - Different chemical products have different market outlooks. For example, short - fiber has an expected repair of processing fees under the expectation of factory production cuts. Bottle - chip is in the demand peak season, with an expected production cut and processing fees bottoming out [2] Agricultural Products - Different agricultural products such as soybeans, corn, palm oil, cotton, and eggs show different price trends and market characteristics. For example, soybeans follow the decline of US soybeans, and pay attention to subsequent weather - related speculation. Pig prices have rebounded due to hoarding and second - fattening, and the market sentiment is strong [2] Special Commodities - For soda ash, the surplus logic continues, and maintain a high - selling strategy on rebounds. For glass, the spot market's goods - moving situation has improved, and the short - term futures price has support [2] New Energy - For polysilicon, supply has increased, and the futures price has fallen with increased positions. For lithium carbonate, the futures price remains weak, and the fundamental pressure continues [2]