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[金融] risk parity stock optimization using principal component quantile simulation.pdf
说明:In the p dimensional space formed by p asset returns, PCA finds the most important k directions that capture the most important variations in the given returns of p assets. Usually, k is less than p. Therefore, by using PCA you can decompose the p as<qq_18822147> 上传 | 大小:2mb