Cinda Securities(SH:601059) Xinda Securities·2025-12-13 11:06Quantitative Models and Construction Methods Model 1: Dividend Forecast and Basis Adjustment Model - Model Name: Dividend Forecast and Basis Adjustment Model - Model Construction Idea: The model predicts the dividend points of the underlying index of stock index futures during the contract period and adjusts the basis accordingly. - Model Construction Process: - Predict the dividend points of the underlying index for the next year. For example, the predicted dividend points for the CSI 500, CSI 300, SSE 50, and CSI 1000 indices are 84.93, 90.40, 75.15, and 63.87, respectively[9][10][11][12][13][14][15][16][17][18]. - Calculate the basis as the difference between the futures contract closing price and the underlying index closing price. - Adjust the basis by adding the expected dividends during the contract period to the actual basis. - Annualize the adjusted basis using the formula: - Example: The annualized basis for the IC current season contract adjusted for dividends is -8.64%[19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42]. - Model Evaluation: The model effectively adjusts the basis to account for dividends, providing a more accurate measure of the futures contract's value relative to the underlying index. Model 2: Continuous Hedging Strategy - Model Name: Continuous Hedging Strategy - Model Construction Idea: The strategy aims to hedge the basis risk by continuously holding futures contracts and adjusting positions based on the contract's expiration. - Model Construction Process: - Backtest Parameters and Settings: - Backtest period: July 22, 2022, to December 12, 2025[43][44][45]. - Spot end: Hold the total return index of the corresponding underlying index. - Futures end: Use 70% of the funds for the spot end and the same nominal principal amount for the futures end, occupying the remaining 30% of the funds. - Rebalance rule: Continuously hold the current month/season contract until the contract has less than 2 days to expiration, then close the position at the closing price and short the next season/current month contract at the closing price. - Performance: - Annualized return: -3.41% (current month), -2.42% (season), -1.94% (minimum basis strategy)[46][47][48][49][50][51][52][53][54][55][56][57][58][59][60]. - Volatility: 3.80% (current month), 4.70% (season), 4.51% (minimum basis strategy). - Maximum drawdown: -11.20% (current month), -8.34% (season), -8.70% (minimum basis strategy). - Net value: 0.8893 (current month), 0.9205 (season), 0.9360 (minimum basis strategy). - Model Evaluation: The continuous hedging strategy provides a systematic approach to managing basis risk, though it may result in negative returns under certain market conditions. Model Backtest Results - Dividend Forecast and Basis Adjustment Model: - CSI 500: Annualized basis -8.64%[20] - CSI 300: Annualized basis -3.44%[27] - SSE 50: Annualized basis -0.70%[32] - CSI 1000: Annualized basis -12.38%[38] - Continuous Hedging Strategy: - CSI 500: Annualized return -3.41% (current month), -2.42% (season), -1.94% (minimum basis strategy)[46] - CSI 300: Annualized return 0.36% (current month), 0.70% (season), 1.08% (minimum basis strategy)[52] - SSE 50: Annualized return 1.08% (current month), 2.02% (season), 1.68% (minimum basis strategy)[56] - CSI 1000: Annualized return -6.43% (current month), -4.70% (season), -4.38% (minimum basis strategy)[58] Quantitative Factors and Construction Methods Factor 1: Cinda-VIX - Factor Name: Cinda-VIX - Factor Construction Idea: Reflects the market's expectation of future volatility of the underlying asset based on option prices. - Factor Construction Process: - Calculate the implied volatility of options with different maturities. - Aggregate the implied volatilities to form the VIX index for different indices. - Example: As of December 12, 2025, the 30-day VIX for SSE 50, CSI 300, CSI 500, and CSI 1000 are 15.93, 17.03, 22.82, and 20.49, respectively[61][62][63][64][65][66][67][68][69][70][71][72]. - Factor Evaluation: The Cinda-VIX index provides valuable insights into market sentiment and expected volatility, aiding in risk management and trading decisions. Factor 2: Cinda-SKEW - Factor Name: Cinda-SKEW - Factor Construction Idea: Measures the skewness of implied volatility across different strike prices, indicating market expectations of tail risk. - Factor Construction Process: - Calculate the implied volatility for options with different strike prices. - Measure the skewness of the implied volatilities to form the SKEW index. - Example: As of December 12, 2025, the SKEW for SSE 50, CSI 300, CSI 500, and CSI 1000 are 101.80, 108.04, 104.65, and 108.10, respectively[68][69][70][71][72][73]. - Factor Evaluation: The Cinda-SKEW index captures market concerns about tail risks, providing a useful tool for assessing potential market stress and investor sentiment. Factor Backtest Results - Cinda-VIX: - SSE 50: 15.93[61] - CSI 300: 17.03[61] - CSI 500: 22.82[61] - CSI 1000: 20.49[61] - Cinda-SKEW: - SSE 50: 101.80[68] - CSI 300: 108.04[68] - CSI 500: 104.65[68] - CSI 1000: 108.10[68]