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Three-Factor and Five-Factor Models: Implementation of Fama and French Model on Market Overreaction Conditions

Author

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  • Ferikawita M. Sembiring

    (Jenderal Achmad Yani University, Bandung Indonesia Author-2-Name: Author-2-Workplace-Name: Author-3-Name: Author-3-Workplace-Name: Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)

Abstract
Objective - Previous research by this author has stated that the market overreaction phenomenon occurs in the Indonesian capital market and the CAPM (Capital Asset Pricing Model) is able to explain portfolio returns. However, CAPM is still debated along with the emergence of the other asset pricing models, such as the multifactor model proposed by Fama and French. The aim of this research is to test the ability of that model to explain the returns of portfolios formed under market overreaction conditions. Methodology/Technique - The data used in this study is the same as that of the previous research, which includes winner and loser portfolio data formed in market overreaction conditions, particularly on the Indonesian Stock Exchange, between July 2005 and December 2015. The multifactor models used include a three-factor model consisting of the factors of market, firm size, firm value, and a five-factor model with the added factors of profitability and investment. To obtain more accurate results, GARCH econometric models were also used in addition to standard test models for obtaining unbiased results. Findings - This research concludes that market factors (Rm-Rf), firm size (SMB), and firm value (HML), are able to explain the winner and loser portfolio returns well. However, when the factors of profitability (RMW) and investment (CMA) are added into the three-factor model, the RMW and CMA explained the returns negatively and inconsistently when the GARCH model is implemented. Novelty � These results imply that the three-factor model is more accurate than the five-factor model, contrary to the previous findings of Fama and French.

Suggested Citation

  • Ferikawita M. Sembiring, 2018. "Three-Factor and Five-Factor Models: Implementation of Fama and French Model on Market Overreaction Conditions," GATR Journals jfbr150, Global Academy of Training and Research (GATR) Enterprise.
  • Handle: RePEc:gtr:gatrjs:jfbr150
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    References listed on IDEAS

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    8. Ferikawita M. Sembiring, 2017. "Single Beta and Dual Beta Models: A Testing of CAPM on Condition of Market Overreactions," GATR Journals jfbr128, Global Academy of Training and Research (GATR) Enterprise.
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    12. Ching-Ping Wang & Hung-Hsi Huang & Chi-Chung Huang, 2012. "Momentum and Contrarian Profits Corresponding to the Coincident Economic Indicator on the Taiwan Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(0), pages 29-40, January.
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    Cited by:

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    2. Ziyang Ji & Victor Chang & Hao Lan & Ching-Hsien Robert Hsu & Raul Valverde, 2020. "Empirical Research on the Fama-French Three-Factor Model and a Sentiment-Related Four-Factor Model in the Chinese Blockchain Industry," Sustainability, MDPI, vol. 12(12), pages 1-22, June.

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    More about this item

    Keywords

    Fama and French Model; Five-factor Model; Market Overreaction; Three-factor Model; Portfolio.;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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