Skip to contents

Monthly returns on 70 factor proxies from the replication package of He, Huang, Li, Zhou (2023): the five Fama-French factors (MKT, SMB, HML, RMW, CMA) plus 65 anomaly-based long-short portfolios. Used as factor proxies (X) in the RRA, PLS, and PCA estimators.

Usage

he2023_factors

Format

A data.frame with 516 rows and 71 variables:

date

First day of each month, class Date.

MKT

Market excess return (percent).

SMB

Small-minus-big size factor (percent).

HML

High-minus-low value factor (percent).

RMW

Robust-minus-weak profitability factor (percent).

CMA

Conservative-minus-aggressive investment factor (percent).

...

65 additional anomaly-based long-short factors (percent).

Source

He, Huang, Li, Zhou (2023) replication package, https://pubsonline.informs.org/doi/10.1287/mnsc.2022.4563.

Note

The sample period ends 2016-12-01, twelve months earlier than the portfolio datasets (he2023_ff48vw, etc., which end 2017-12-01). Align dates before passing he2023_factors as X and any portfolio dataset as target.

References

He, J., Huang, J., Li, F., and Zhou, G. (2023). Shrinking Factor Dimension: A Reduced-Rank Approach. Management Science, 69(9). doi:10.1287/mnsc.2022.4563

Examples

head(he2023_factors[, 1:5])
#>         date   MKT   SMB   HML   RMW
#> 1 1974-01-01 -0.17 10.51  5.87 -2.98
#> 2 1974-02-01 -0.48  0.16  2.54 -1.96
#> 3 1974-03-01 -2.81  2.61 -0.12  2.96
#> 4 1974-04-01 -5.29 -0.61  1.01  2.80
#> 5 1974-05-01 -4.67 -3.21 -2.07  5.04
#> 6 1974-06-01 -2.83  0.00  0.76  0.66