Validity of Fama-French Three Factor Model for Diversified Financial Companies Listed on the Colombo Stock Exchange

Prasanna Madhuranthagan, K. Shantha
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Abstract

This study aims to test the validity of the Fama and French Three-Factor Model (FF3FM) in explaining the cross-sectional variation in stock returns of the diversified financial companies listed on the Colombo Stock Exchange (CSE). It adopted the Fama and French (1992) approach to construct the portfolios. Accordingly, six portfolios were constructed using a 2x3 annual sorting procedure based on market capitalization and book to market equity ratio. The sample period spans for five years, from April 2014 to March 2019 and the sample is included 37 diversified financial companies listed on the CSE. The data analysis is based on both descriptive statistics and inferential statistics which are derived on correlation analysis and multiple regression analysis. The results indicate that FF3FM performs well in explaining cross-sectional variation in stock returns. All three factors of the model market risk premium, size premium, and value premium exhibit significant relations with excess portfolio returns. The study also finds that market risk premium is the most prominent factor of the model, while the other two factors share equal explanatory power. The results further confirm that FF3FM outperforms Capital Assets Pricing Model (CAPM) in explaining cross-sectional variation in stock returns. The study supports the prediction of Fama French (1992) that high BE/ME ratio portfolios outperform the portfolios with low BE/ME ratios. Considering these findings, it is recommended that, in addition to stock beta, size and value information should be made available to stock investors for conducting better assessment of uncertainties associated with investment returns.
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Fama-French三因素模型对科伦坡证券交易所上市多元化金融公司的有效性
本研究旨在检验Fama和French三因素模型(FF3FM)在解释科伦坡证券交易所(CSE)上市的多元化金融公司股票收益的横截面变化的有效性。它采用Fama和French(1992)的方法来构建投资组合。因此,使用基于市值和账面股本比的2x3年度排序程序构建了六个投资组合。样本周期为5年,从2014年4月至2019年3月,样本包括37家在中国证券交易所上市的多元化金融公司。数据分析的基础是描述性统计和推理统计,这两种统计是在相关分析和多元回归分析的基础上推导出来的。结果表明,FF3FM模型能很好地解释股票收益的横截面变化。模型中市场风险溢价、规模溢价和价值溢价三个因素均与投资组合超额收益呈显著相关。研究还发现,市场风险溢价是模型中最突出的因素,而其他两个因素具有同等的解释力。结果进一步证实,FF3FM在解释股票收益的横截面变化方面优于资本资产定价模型(CAPM)。本研究支持Fama French(1992)的预测,即高BE/ME比的投资组合优于低BE/ME比的投资组合。考虑到这些发现,建议除股票贝塔系数外,还应向股票投资者提供规模和价值信息,以便更好地评估与投资回报相关的不确定性。
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