Power generation portfolios: A parametric formulation of the efficient frontier

David Juárez-Luna
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引用次数: 2

Abstract

This paper aims to provide a methodology to construct parametrically the Efficient Frontier (EF) of Power Generation Portfolio (PGP). The methodology works as follows. First, we obtain two sets of the shares of the assets: one that guarantee the maximal expected return on the PGP; and another that guarantee the minimal risk of the PGP. The EF corresponds to the parametric equation of the risk-return profiles from the minimal risk to the maximal expected return of the PGP. We apply our methodology to replicate the results from three existing papers. The present methodology allows to and different and more coherent results than those obtained in the original papers. The analysis suggests that there are optimal investment alternatives that have been denied by previous analysis. This fact creates a bias in the design of investment policies in electricity generation. One limitation of the paper is that the analysis relies on the assumption that the covariances of the returns of the different assets is zero. This assumption leads to gains in tractability, clarity, and in the scope of the methodology formulated.
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发电组合:效率前沿的参数化公式
本文旨在提供一种参数化构建发电组合有效边界的方法。该方法的工作原理如下。首先,我们得到了两组资产份额:一组保证了PGP的最大期望收益;另一种是保证PGP的风险最小化。EF对应于PGP从最小风险到最大期望收益的风险收益曲线的参数方程。我们应用我们的方法来复制三篇现有论文的结果。目前的方法允许和不同的和更连贯的结果比在原始论文中获得的。分析表明,存在最优的投资选择,而这些选择是之前的分析所否定的。这一事实造成了对发电投资政策设计的偏见。本文的一个局限性是,分析依赖于不同资产收益的协方差为零的假设。这个假设导致了可追溯性、清晰度和方法学范围的提高。
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