Examination of Fama-French Four-Factor Model: Creating Factors in Quantitative Finance
DOI: 10.23977/ferm.2023.060201 | Downloads: 5 | Views: 417
Author(s)
Yikun Li 1
Affiliation(s)
1 Department of Financial Management, Metropolitan College, Boston University, Taiyuan, Shanxi, 030001, China
Corresponding Author
Yikun LiABSTRACT
The paper consists of two parts. The first part creates the SMB ("Small-minus-Big") and HML ("High-minus-Low") factors according to the rules laid out in "Common risk factors in the returns on stocks and bonds" (Fama, E. F., & French, K. R, 1992) through the application of Python in quantitative finance. It also creates the momentum factor in Fama-French Four-Factor Model proposed by "On Persistence in Mutual Fund Performance," (Mark M. Carhart, 1997). The second part examines the effectiveness of factors in explaining anomalies in equity returns. The paper concludes that these three factors to some extent explain anomalies in equity returns.
KEYWORDS
Fama-French Four-Factor Model, SMB ("Small-minus-Big"), HML ("High-minus-Low"), Quantitative Finance, Anomalies, Equity ReturnsCITE THIS PAPER
Yikun Li, Examination of Fama-French Four-Factor Model: Creating Factors in Quantitative Finance. Financial Engineering and Risk Management (2023) Vol. 6: 1-7. DOI: http://dx.doi.org/10.23977/ferm.2023.060201.
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