Open Source Bond Asset Pricing

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Data

Please Note: The associated research paper that underpins this data is currently under a Revise & Resubmit (R&R). The data might be subject to change over the next few months. Any changes will be explicitly documented in the Changelog on GitHub. If you have suggestions for the data / spot any issues, please reach out to alexander.dickerson1@unsw.edu.au.

Paper: If you use our data/code pipeline, please consider citing our paper, “The Corporate Bond Factor Replication Crisis“.

Download the The Corporate Bond Factor Replication Crisis (PDF). SSRN link: The Corporate Bond Factor Replication Crisis.

Corporate bond data downloads

Available in zipped parquet format. All proprietary data (GVKEY, ratings etc.) are excluded. Generate a full version of this data by executing the trace-data-pipeline codebase (requires WRDS and valid data licenses). Combines Enhanced, Standard and 144A TRACE. Please see the data dictionary and associated README files on the GitHub.

Without Volume Filters:

  • Daily TRACE data download: Includes Enhanced, Standard and 144A TRACE. Does not filter based on par or dollar volume. Includes accrued interest, credit spreads, duration and other bond metrics. See data reports for details.

Enhanced TRACE Data Documentation and Reports (no volume filters):

  • Stage 0 Data Report (Enhanced), Stage 0 Data Report (144A)
  • Stage 1 Data Report (All data)
  • Distressed Bond Data Report (Enhanced, Standard and 144A)

With $10,000 Par Volume Filters:

  • Coming 2026

With $100,000 Par Volume Filters:

  • Coming 2026

TRACE CODE

⚡New TRACE data pipeline is live: 💻 Code: trace-data-pipeline GitHub repository.

CONTRIBUTORS

Alex Dickerson (UNSW)

Philippe Mueller (Warwick)

Cesare Robotti (Warwick)

Christian Julliard (LSE)

Yoshio Nozawa (Toronto)

Giulio Rossetti (Warwick)

Chuck Fang (Drexel)

NEWS

2025-12-11: Stage 1 of the trace-data-pipeline is now in public beta.

2025-11-06: New website/data/code under development. Expected release EoY 2025.

This website (design/layout) is based on work of Andrew Y. Chen and Tom Zimmermann.

©2026 Open Source Bond Asset Pricing