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
{"title":"ANALYSIS OF SHARE PERFORMANCE USING THREE FACTORS MODEL FAMA AND FRENCH (TFMFF) IN ILQ-45 STOCK PERIOD 2017-2020","authors":"Rendra Arief Hidayat, Bayu Rama Laksono, Arfiana Dewi, Rizky Aditya Nugraha","doi":"10.37479/jeej.v5i2.18813","DOIUrl":null,"url":null,"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.","PeriodicalId":126731,"journal":{"name":"Jambura Economic Education Journal","volume":"61 10","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jambura Economic Education Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37479/jeej.v5i2.18813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Pengaruh PAD, Dana Perimbangan, dan Jumlah Penduduk Terhadap Belanja Daerah The Effect of Sustainability Reporting Disclosure on Company Value Moderated by Investment Opportunity Set Peran Industri Rumah Pada Usaha Catering Kurnia Jaya Terhadap Pendapatan Karyawan Menurut Presfektif Ekonomi Islam di Kecamatan Medang Kampai Kota Dumai Analisis Investasi Dalam Negeri, Upah Minimum, dan Pengeluaran Pemerintah Terhadap Jumlah Penduduk Miskin di Provinsi Jawa Timur Pengaruh Tingkat Pendidikan, Produk Domestik Regional Bruto, Tingkat Pengangguran Terbuka dan Upah Minimum Terhadap TPAK di Kota Semarang
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1