Reference health
Design choices, machine learning, and the cross-section of stock returns
53/53 checkable references clean · checked 2026-08-17
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
13 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 53 checked references that resolve
resolves10.1214/aoms/1177729437
Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
resolves10.1287/mnsc.2022.4449
Machine Learning vs. Economic Restrictions: Evidence from Stock Return Predictability
resolves10.1016/j.jedc.2023.104725
Machine learning goes global: Cross-sectional return predictability in international stock markets
resolves10.1016/j.irfa.2024.103569
What drives stock returns across countries? Insights from machine learning models
resolves10.1016/j.jbankfin.2026.107658
The more, the better? Predicting stock returns with local and global data
resolves10.1016/j.econlet.2025.112641
Model complexity and the performance of global versus regional models
resolves10.1016/j.ememar.2023.101022
Machine learning and the cross-section of emerging market stock returns
resolves10.1016/j.frl.2022.102856
Boosting agnostic fundamental analysis: Using machine learning to identify mispricing in European stock markets
resolves10.1080/0015198X.2024.2388024
Choices Matter When Training Machine Learning Models for Return Prediction
resolves10.1111/j.1475-6803.2006.00189.x
INDIVIDUAL EQUITY RETURN DATA FROM THOMSON DATASTREAM: HANDLE WITH CARE!
resolves10.1111/j.1540-6261.1993.tb04702.x
Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency
resolves10.1111/eufm.70033
Empirical Asset Pricing via Machine Learning: The Role of Research Design Choices
resolves10.2307/1913610
A Simple, Positive Semi-Definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix
resolves10.3905/jfds.2020.1.034
The Cross Section of Commodity Returns: <i>A Nonparametric Approach</i>
resolves10.1016/j.finmar.2020.100588
Does it pay to follow anomalies research? Machine learning approach with international evidence
The 13 references without a DOI — listed, not checked
no DOI — not checkedref7
no DOI — not checkedref23
no DOI — not checkedref29
no DOI — not checkedref36
no DOI — not checkedref39
no DOI — not checkedref41
no DOI — not checkedref45
no DOI — not checkedA unified approach to interpreting model predictions
no DOI — not checkedref49
no DOI — not checkedK-sample Anderson-Darling tests
no DOI — not checkedA value for n-person games
no DOI — not checkedFactor zoo (.zip)
no DOI — not checkedref65
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-08-17 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
Embed this badge
Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.
<a href="https://citestamp.com/citestamped/10.2139/ssrn.5031755"><img src="https://citestamp.com/citestamped/10.2139/ssrn.5031755/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[](https://citestamp.com/citestamped/10.2139/ssrn.5031755)