股指分红点位监控周报：小盘股表现占优，IC主力合约升水-20260226

• The report discusses the methodology for calculating dividend points in stock indices, which is crucial for accurately estimating the premium or discount in stock index futures contracts. The calculation considers the dividend impact of index constituent stocks, which naturally causes the index level to drop in price indices but is reinvested in total return indices[12][42][45] - The dividend points are calculated using the formula: $\text{Dividend Points} = \sum_{n=1}^{N} \frac{\text{Dividend Amount of Stock}_n}{\text{Total Market Value of Stock}_n} \times \text{Weight of Stock}_n \times \text{Index Closing Price}$ Here, $N$ represents the number of constituent stocks, and the calculation only includes stocks with ex-dividend dates between the current date and the futures contract expiration date[42][45] - The methodology for estimating key parameters includes: 1. Constituent Stock Weights: Adjusted daily using the formula: $W_{n,t} = \frac{w_{n0} \times (1 + r_n)}{\sum_{i=1}^{N} w_{i0} \times (1 + r_i)}$ where $w_{n0}$ is the weight of stock $n$ on the last disclosed date, and $r_n$ is the non-adjusted return of stock $n$ since that date[46] 2. Dividend Amounts: Estimated as the product of net profit and dividend payout ratio. If not disclosed, net profit is predicted using historical profit distribution patterns, and the payout ratio is estimated using historical averages[48][51] 3. Ex-Dividend Dates: Predicted using historical patterns and linear extrapolation based on the stability of the time interval between announcement and ex-dividend dates[52][57] - The accuracy of the dividend point estimation model is evaluated by comparing predicted and actual dividend points for indices like SSE 50, CSI 300, CSI 500, and CSI 1000. The model shows high accuracy, with errors generally within 5 points for SSE 50 and CSI 300, and within 10 points for CSI 500 and CSI 1000[58][62][65]