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  "Description": "The classical Markowitz's mean-variance portfolio\nformulation ignores heavy tails and skewness. High-order\nportfolios use higher order moments to better characterize the\nreturn distribution. Different formulations and fast algorithms\nare proposed for high-order portfolios based on the mean,\nvariance, skewness, and kurtosis. The package is based on the\npapers: R. Zhou and D. P. Palomar (2021). \"Solving High-Order\nPortfolios via Successive Convex Approximation Algorithms.\"\n<arXiv:2008.00863>. X. Wang, R. Zhou, J. Ying, and D. P.\nPalomar (2022). \"Efficient and Scalable High-Order Portfolios\nDesign via Parametric Skew-t Distribution.\" <arXiv:2206.02412>.",
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