Research on the Decisive Factors of Portfolio Return in Stock Market – Based on the Extension of Five-factor Asset Pricing Model

Yu-pin Hu, Boru Liu, Jiayi Wu, Suwen Zheng
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Abstract

Based on Fama and French's five-factor model, this paper introduces a new momentum factor MOM on the extension of MKT, SMB, HML, RMW, and CMA, aiming to explore which factor has a relatively greater impact on the change of the stock market. Data of six portfolios from the year 1963 to 2019 at the start of each month are selected to deduce their relationship with six factors through multiple linear regression. Variance inflation factor and correlation coefficient are both calculated to exclude the multicollinearity among the regressors. R-squared about six portfolios are all above 0.9, meaning that six portfolios fit the six-factor model well. The results indicate that the factor MKT is positively significant to all six portfolios, and the coefficient of MKT is the highest among all the factors, very close to 1 or even above, which suggests MKT has the biggest impact on six portfolios and the six portfolios fit the market trend well. The outcome also illustrates that factor MOM is of less significance to the six portfolios. However, MOM is negatively significant to portfolios 1,2,5, and 6, thus should not be ignored.
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股票市场投资组合收益的决定因素研究——基于五因素资产定价模型的扩展
本文在Fama和French的五因素模型的基础上,在MKT、SMB、HML、RMW和CMA的延伸上引入了一个新的动量因素MOM,旨在探究哪个因素对股票市场变化的影响相对更大。选取1963 - 2019年6个投资组合的每月初数据,通过多元线性回归推导其与6个因素的关系。方差膨胀因子和相关系数的计算都是为了排除回归量之间的多重共线性。6个投资组合的r平方都大于0.9,这意味着6个投资组合很好地符合六因素模型。结果表明,因子MKT对6个投资组合均具有正显著性,且MKT的系数在所有因子中最高,非常接近于1甚至更高,说明MKT对6个投资组合的影响最大,6个投资组合对市场趋势的拟合效果较好。结果还表明,因子MOM对六个投资组合的影响较小。然而,MOM对投资组合1,2,5和6具有负显著性,因此不应忽略。
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