factors
factors packages various asset
pricing research factor time series for convenient consumption by R
users. The data is pulled directly from authors’ website. Install from
with devtools::install_github("bautheac/factors")
.
Fama & French
The fama_french
dataset provides the return (factors) and level (risk
free rate) time series for the classic Fama/French asset pricing factors
as used in their three (Fama and French 1992, 1993, 1995) and most
recently five-factor (Fama and French 2015, 2016, 2017) asset pricing
models very popular to the asset pricing enthusiasts:
#> region frequency factor period value
#> 1: US month CMA 197101 -0.14
#> 2: US month CMA 197102 -0.72
#> 3: US month CMA 197103 -2.69
#> 4: US month CMA 197104 0.72
#> 5: US month CMA 197105 0.30
#> 6: US month CMA 197106 -1.74
Stambaugh et al
The stambaugh
dataset provides the return (factors) and level (risk
free rate) time series for various research asset pricing factors put
together by Robert F. Stambaugh and collaborators including Lubos Pastor
and Yu Yuan. The factors include traded & non-traded liquidity (Pástor
and Stambaugh 2003), as well as market, size and two ‘mispricing’
factors: management & performance (Stambaugh and Yuan 2016):
#> frequency factor period value
#> 1: month non-traded liquidity 196208 0.00426023
#> 2: month non-traded liquidity 196209 0.01172080
#> 3: month non-traded liquidity 196210 -0.07442466
#> 4: month non-traded liquidity 196211 0.02854555
#> 5: month non-traded liquidity 196212 0.01435009
#> 6: month non-traded liquidity 196301 0.00947839
finRes
Although the factors package is self-contained it belongs to the finRes suite of packages where it helps with asset pricing research and analysis.