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August 2024 Data Release

This data release is associated with the code release v1.4.0. You can explore all available data via Google Drive File Explorer. You can find direct links to some featured datasets below.

Featured Portfolio Return Datasets

  • Monthly portfolio returns
    • Monthly long-short returns of 212 predictors following OPs (wide csv)
    • 212 csvs, each has returns for a portfolio sort using a different predictor following OPs (Gdrive folder)
      • Use this link to get, say, 5 long portfolios based on B/M (BM.csv) or the long- and short portfolios based on dividend seasonality (DivSeason.csv)
    • All 212 predictor portfolio sort csvs in a single file (still following OPs)
  • Daily portfolio returns
    • Daily portfolio returns (Gdrive folder)

Featured Stock-level Signal Datasets

  • 209 predictive firm-level characteristics in wide format, signed so future mean returns increase in characteristics (1.6 GB zipped csv)
    • Omits Price, Size, and STreversal, which can be downloaded from CRSP
    • Code to automate the download available here

Data downloads

  • To download data, head to the Data tab
  • Or `pip install openassetpricing` to download via the Python package (by Peng Li)

Authors

Andrew Y. Chen
Tom Zimmermann

News

2024-08-22: Data update (August 2024)

  • Portfolios updated to end of 2023
  • Various minor fixes and improvements
  • Head to the data page and our repo for details

 

2023-08-16: Data update (August 2023)

  • Portfolios updated to end of 2022
  • Five additional signals
  • Various minor fixes and improvements
  • Head to the data page and our repo for details

 

2022-03-30: Data update (March 2022)

  • Portfolios updated to end of 2021
  • Two additional signals
  • 2×3 Fama-French factor style portfolios
The views expressed herein are those of the authors and do not necessarily reflect the position of the Board of Governors of the Federal Reserve or the Federal ReserveSystem.
This project has received support from the Deutsche Forschungsgemeinschaft (DFG) under Germany’s Excellence Strategy EXC2126/139083886.
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