Data

All releases are archived on Zenodo with a permanent DOI. The current release is v2026.11 (sample October 2019 to April 2026).

Files

FileContent
factor_returns.csvMonthly returns of all factor, quintile and benchmark portfolios and the market index
factor_summary.csvPerformance statistics per factor and specification, including CAPM and Dimson alphas
universe_stats.csvNumber of loans, signal coverage and imputed repayments per month
characteristics_distribution.csvMonthly cross-sectional percentiles of each signal
portfolio_counts.csvNumber of loans per portfolio at formation
factor_definitions.csvFactor codes, signals, preferred side and sources
metadata.jsonVersion, sample, settings and code checksums
README.mdDescription, methodology in brief and known limitations

Finding a series

Each row in factor_returns.csv is one monthly return, identified by these columns:

ColumnValues
factorvalue, momentum, illiquidity, quality, low_risk, carry, ivol, bab, combi, market
portfolioQ1 to Q5, LS (long-short), BM (benchmark), MKT (market index)
weightingew, vw, vw_cap
holding1, 3, 6, 12 (months)
lag0, 1 (months of implementation lag)
return_typeexcess, total
date, retend of the return month, decimal monthly return

Example in Python

import pandas as pd

url = "https://zenodo.org/records/24113425/files/factor_returns.csv?download=1"
fr = pd.read_csv(url, parse_dates=["date"])

momentum = fr.query("factor == 'momentum' and portfolio == 'LS' and weighting == 'ew' "
                    "and holding == 6 and lag == 0 and return_type == 'excess'")
print(momentum.set_index("date")["ret"].describe())

How to cite

Please cite the data release you use:

Mählmann, T. (2026). Leveraged Loan Factors (Version 2026.11) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.24113425

The DOI 10.5281/zenodo.24113424 refers to all versions and always resolves to the latest release. If you use or adapt the pipeline, please also cite the software:

Mählmann, T. (2026). Leveraged Loan Factors (Version v2026.11) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.24114955

Licenses and updates

The data are licensed under CC BY 4.0, the code under the MIT license. New releases follow the quarterly SEC data sets. Because late filings and amendments can revise earlier months slightly, always cite the release you used.