Investment Portfolio Optimization Using Black-Litterman Model in Smart Carbon Economy Transition

Ramadhina Hardiva Kahar, Riaman Riaman, Sukono Sukono
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Abstract

An optimal investment portfolio needs to be formed before an investor invests because it can help investors determine which financial instruments are suitable to choose in order to get the maximum return or profit and the minimum level of risk. In the current situation, where there is an economic transition to a smart carbon economy or low carbon economy, it is necessary to form the optimal portfolio of stocks to facilitate investors in making investments. The purpose of this study is to form the optimal investment portfolio using the Black-Litterman model in a smart carbon economy. The data used is stock data from 24 companies listed on the LQ45 Low Carbon Leaders index for the period 2022-2023. Based on the research results, the Black-Litterman model generates the optimal portfolio with a 0.1% expected return. Thus, the optimal portfolio results with the Black-Litterman model are estimated to generate a profit of 0.1% for smart carbon stock data listed on the LQ45 Low Carbon Leaders index for the 2022-2023 period.
利用 Black-Litterman 模型优化智能碳经济转型中的投资组合
投资者在投资之前需要形成一个最佳的投资组合,因为它可以帮助投资者确定选择哪种金融工具合适,以获得最大的回报或利润以及最小的风险水平。在当前经济向智能碳经济或低碳经济转型的形势下,有必要形成最优的股票投资组合,以方便投资者进行投资。本研究的目的是利用 Black-Litterman 模型形成智能碳经济下的最优投资组合。使用的数据是 LQ45 低碳领军者指数中 24 家上市公司在 2022-2023 年期间的股票数据。根据研究结果,Black-Litterman 模型生成的最优投资组合的预期收益率为 0.1%。因此,根据 Black-Litterman 模型的最优投资组合结果估算,2022-2023 年期间 LQ45 低碳领跑者指数所列智能碳股票数据的利润为 0.1%。
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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