Introducing FFdownload: Fama-French Data Directly into R
Mar 13, 2019·
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1 min read
Sebastian Stöckl

Tens of thousands of papers rely on Kenneth French’s data library for US and international asset pricing factors and portfolios. The problem: the zipped CSV files are notoriously tedious to import and require constant manual updates.
The FFdownload R package solves this. It is available on CRAN:
install.packages("FFdownload")
Key functions:
FFlist()— browse all available datasets as a searchable data frameFFget()— download a single dataset directly as a tibble (quickest way)FFmatch()— fuzzy-match dataset names before downloadingFFdownload()— bulk download with full control over daily/monthly/annual files, caching, and re-processing
One line to get the FF 3-factor data:
FF3 <- FFget(input = "F-F_Research_Data_Factors", dest = tempdir())
→ Full documentation, vignettes, and examples: sebastianstoeckl.com/ffdownload