Fama and French three and six-factor models: Evidence from Indian stock exchange
H. R. Tejesh () and
V. Jeelan Basha ()
Additional contact information
H. R. Tejesh: Department of Commerce, Vijayanagara Sri Krishnadevaraya University, Vinayaka Nagar, Kuvempu Nagar, Ballari, Karnataka 583105, India
V. Jeelan Basha: Department of Commerce, Vijayanagara Sri Krishnadevaraya University, Vinayaka Nagar, Kuvempu Nagar, Ballari, Karnataka 583105, India
International Journal of Financial Engineering (IJFE), 2023, vol. 10, issue 03, 1-14
Abstract:
This study attempts to compare the performance of Fama–French three-factor model (FFTFM) and Fama and French six-factor model (FFSFM) in predicting the variations in expected returns of Nifty-100 listed stocks. Only 5/6 of the total listed companies are chosen, while the remaining 1/6 are ignored because they are not listed for the whole study period. The stocks are divided into two size groups and three groups based on B/M, OP, Inv and MOM using independent sorts to create 24 portfolios. The monthly average returns of the MC-MOM portfolios increase as momentum increases, in contrast to MC-B/M and MC-Inv portfolios. Almost all the portfolios with high returns are paired with significant risk, apart from the BM portfolio in size and profitability group. The findings prove that the FFSFM outperforms FFTFM on all the GRS test parameters. However, there is no significant improvement in explanatory power over the FFTFM.
Keywords: Size; value; profitability; investment; momentum (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S2424786323500172
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijfexx:v:10:y:2023:i:03:n:s2424786323500172
Ordering information: This journal article can be ordered from
DOI: 10.1142/S2424786323500172
Access Statistics for this article
International Journal of Financial Engineering (IJFE) is currently edited by George Yuan
More articles in International Journal of Financial Engineering (IJFE) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().