ANALYSIS OF SHARE PERFORMANCE USING THREE FACTORS MODEL FAMA AND FRENCH (TFMFF) IN ILQ-45 STOCK PERIOD 2017-2020

Rendra Arief Hidayat, Bayu Rama Laksono, Arfiana Dewi, Rizky Aditya Nugraha
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Abstract

Research conducted by Fama and French in 1996 showed that there were factors other than the beta that were significantly able to predict stock returns. However, several subsequent studies showed inconsistent results. The discrepancy between the results of previous studies prompted this research to be carried out. In this study, the researchers selected the stocks used based on the criteria for company profits and return on equity (ROE) offered by Warren Buffett. This study uses Buffett's criteria in selecting stocks that are used to analize TFMFF in estimating the return of stocks grouped into the Fama French portfolio. The method used is quantitative. The secondary data used are quarterly close price data, mining company equity value, Bank Indonesia interest rate (risk-free rate), and number of outstanding shares (number of shares outstanding). The results show that the TFMFF is accurate in predicting stock returns.
利用fama和French三因素模型(tfmff)分析ilq-45股票期2017-2020年股票表现
Fama和French在1996年进行的研究表明,除了beta之外,还有其他因素能够显著地预测股票收益。然而,随后的几项研究显示了不一致的结果。以往研究结果的差异促使了这项研究的开展。在本研究中,研究人员根据沃伦·巴菲特提出的公司利润和股本回报率(ROE)的标准选择了所使用的股票。本研究使用巴菲特的选股标准,用于分析TFMFF来估计Fama French投资组合中股票的收益。所使用的方法是定量的。使用的二级数据是季度收盘价数据、矿业公司股权价值、印尼银行利率(无风险利率)和流通股数量(流通股数量)。结果表明,该模型在预测股票收益方面具有较好的准确性。
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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