投资组合优化中均值方差法与指数增长率法的差距研究

Zhao-Rong Lai, Haisheng Yang
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引用次数: 4

摘要

根据理论基础、交易逻辑、优化目标和方法的不同,投资组合优化大致可分为均值方差法和指数增长率法。前者和后者通常分别用于长期和短期投资组合优化。均值-方差方法虽可用于短期投资组合优化,但其效果未必令人满意(指数增长率方法也适用于长期投资组合优化)。本调查主要探讨了这两种方法之间的差距,并调查了哪些共同的想法或机制是有益的。此外,还讨论了该领域的评价框架和尚未解决的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey on Gaps between Mean-Variance Approach and Exponential Growth Rate Approach for Portfolio Optimization
Portfolio optimization can be roughly categorized as the mean-variance approach and the exponential growth rate approach based on different theoretical foundations, trading logics, optimization objectives, and methodologies. The former and the latter are often used in long-term and short-term portfolio optimizations, respectively. Although the mean-variance approach could be applied to short-term portfolio optimization, the performance may not be satisfactory (same with the exponential growth rate approach to the long-term portfolio optimization). This survey mainly explores the gaps between these two approaches, and investigates what common ideas or mechanisms are beneficial. Besides, the evaluating framework of this field and some unsolved problems are also discussed.
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