The article explores a method to determine hedge ratios for stock index futures using wavelet analysis and lower partial moments. By comparing parametric and nonparametric methods, researchers found that parametric models based on sequence distributions outperform nonparametric methods in estimating hedge ratios and efficiency. Factors like hedging periods, risk aversion, and target returns can influence the effectiveness of multi-scale hedge ratios.