利用均值方差风险规避模型优化印尼可再生能源股票的投资组合

Willen Vimelia, Riaman Riaman, Sukono Sukono
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摘要

气候变化是一个已经发生了相当长一段时间的现象。然而,由于气候变化的影响日益明显,人类必须采取行动来减轻这些影响。解决这一问题的方法之一就是从传统能源或不可再生能源过渡到可再生能源。这一步无疑会对投资等各个方面产生影响。自然而然,投资者开始将目光转向可再生能源领域,将其作为一个新的目标。投资本质上与风险和收益相关,实现收益最大化的方法之一是优化投资组合。投资组合优化的一个著名方法是均值-方差法,也被称为马科维茨法,因为它是由哈里-马科维茨首次提出的。在本研究中,最佳投资组合的权重为:ADRO 0.1470;MEDC 0.1939;ITMG 0.2143;RAJA 0.4449。在这种最优投资组合权重构成下,预期收益率为 0.002252,收益方差为 0.000496。
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Investment Portfolio Optimization in Renewable Energy Stocks in Indonesia Using Mean-Variance Risk Aversion Model
Climate change is a phenomenon that has been occurring for quite some time. However, the increasingly felt impacts of climate change necessitate human action to mitigate these effects. One way to address this issue is by transitioning from conventional or non-renewable energy sources to renewable energy. This step undoubtedly has implications for various aspects, such as investments. Naturally, investors are beginning to turn their attention to the field of renewable energy as a new target. Investments are inherently associated with risks and returns One approach to maximizing returns is through portfolio optimization. One well-known method in portfolio optimization is the Mean-Variance method, also known as the Markowitz method, as it was first introduced by Harry Markowitz. In this research, an optimal portfolio is generated with weights of 0.1470 for ADRO; 0.1939 for MEDC; 0.2143 for ITMG and 0.4449 for RAJA. With this composition of optimal portfolio weights, the expected return is obtained at 0.002252, and the return variance is 0.000496.
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