The regression-based efficient frontier

IF 1.4 Q2 MATHEMATICS, APPLIED
Wan-Yi Chiu
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引用次数: 0

Abstract

The standard mean–variance analysis employs quadratic optimization to determine the optimal portfolio weights and to plot the mean–variance efficient frontier (MVEF). It then indirectly evaluates the mean–variance efficiency test (MVET) by considering the maximum Sharpe ratios of the tangency portfolio within the MVEF framework, which assumes a risk-free rate. This paper integrates these procedures without considering the risk-free rate by transitioning to a regression-based efficient frontier (RBEF). The RBEF estimates the optimal portfolio weights and simultaneously implements the MVET based on an OLS F-test, offering a simpler approach to portfolio optimization.
基于回归的效率边界
标准均值-方差分析采用二次优化方法确定最优投资组合权重,并绘制均值-方差有效边界。然后,通过考虑MVEF框架内切线投资组合的最大夏普比率(假设无风险利率),间接评估均值方差效率检验(MVET)。本文通过过渡到基于回归的有效边界(RBEF)来整合这些过程,而不考虑无风险率。RBEF估计了最优投资组合权重,同时基于OLS f检验实现了MVET,为投资组合优化提供了一种更简单的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Results in Applied Mathematics
Results in Applied Mathematics Mathematics-Applied Mathematics
CiteScore
3.20
自引率
10.00%
发文量
50
审稿时长
23 days
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