Mampukah Model Enam Faktor Fama and French menggungguli Model Tiga Faktor Fama and French dengan Proksi Indeks Kompas 100

Yuki Dwi Darma Dasril, Petiana Indriati, Pujiharta Pujiharta, Nani Hartati, Meika Indriani
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Abstract

accompanying risks, many researchers have attempted to find financial asset valuation models. One of the most popular ones today is the Fama and French model. The initial model introduced was the Fama and French 3-factor model, which encountered various failures in some emerging market capital markets. In response, Fama and French improved their model, transforming it into a 6-factor model by adding aspects of profitability, investment, and momentum. This adjustment aimed to capture the relationship between the returns of securities or portfolios formed with systematic risk. However, the Fama and French 6-factor model did not perform well in some emerging market capital markets. The objective of this research is to test the accuracy of the Fama and French 6-factor model in the Indonesian Capital Market from 2017 to 2021. The research method employed is multiple linear regression, forming portfolios based on the framework established by the Fama and French 6-factor model. The research findings indicate evidence that the Fama and French 6-factor model can explain the returns of the formed portfolios. Market risk, book-to-market ratio, and investment aspect significantly impact the performance of the formed portfolio returns.
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使用 Compass 100 指数代理,法玛和法式六因子模型的表现能否优于法玛和法式三因子模型?
伴随着风险,许多研究人员试图找到金融资产估值模型。目前最流行的模型之一是法马和法式模型。最初引入的模型是法马和弗伦奇的 3 因子模型,该模型在一些新兴市场资本市场遇到了各种失败。为此,法马和弗伦奇改进了他们的模型,通过增加盈利能力、投资和动量等方面,将其转变为 6 因子模型。这一调整旨在捕捉系统性风险形成的证券或投资组合收益之间的关系。然而,法马和弗伦奇的 6 因子模型在一些新兴市场资本市场的表现并不理想。本研究的目的是检验 Fama 和 French 6 因子模型在 2017 年至 2021 年印尼资本市场的准确性。采用的研究方法是多元线性回归,根据 Fama 和 French 6 因子模型建立的框架形成投资组合。研究结果表明,有证据表明 Fama 和 French 6 因子模型可以解释所形成的投资组合的收益。市场风险、账面市值比和投资方面对所形成的投资组合收益表现有重大影响。
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