MétaCan
Menu
Cohort builder

4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Financial Markets and Investment Strategies
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,747 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,747 works in the cohort · of 4,299,418page 13 of 75

Labels cover 0 of 3,747 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 3,747 of 3,747 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Insensitive Investors
Constantin Charles, Cary Frydman, Mete Kılıç
2024· article· en· The Journal of Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
High Frequency Trading and End-of-Day Manipulation
Douglas J. Cumming, Michael Aitken
2012· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
Informed Trading Around the World
Sandy Lai, Lilian Ng, Bohui Zhang
2008· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
23
citations
affno abstractunlabeled
Value of Internally Generated Intangible Capital
Aneel Iqbal, Shivaram Rajgopal, Anup Srivastava, Rong Zhao
2021· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Skill Acquisition and Data Sales
Shiyang Huang, Yan Xiong, Liyan Yang
2021· article· en· Management Science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Dynamic Factors and Asset Pricing
Zhongzhi He, Sahn-Wook Huh, Bong‐Soo Lee
2010· article· en· Journal of Financial and Quantitative Analysis· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Asymmetric Attention and Stock Returns
Jordi Mondria, Thomas Wu
2011· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
The Higher Moments of Future Earnings
Woo‐Jin Chang, Steven J. Monahan, Amine Ouazad, Florin P. Vasvari
2020· article· en· The Accounting Review· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Locked and crossed markets on NASDAQ and the NYSE
Andriy Shkilko, Bonnie F. Van Ness, Robert A. Van Ness
2007· article· en· Journal of Financial Markets· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
The counterparty risk exposure of ETF investors
Christophe Hurlin, Grégoire Iseli, Christophe Pérignon, CW Yeung
2019· article· en· Journal of Banking & Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
Stocks of Admired Companies and Despised Ones
Deniz Anginer, Kenneth L. Fisher, Meir Statman
2007· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Lazy Prices
Lauren Cohen, Christopher J. Malloy, Quoc Hung Nguyen
2018· report· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
21
citations
afffundno abstractunlabeled
Informed liquidity provision in a limit order market
Michael Brolley, Katya Malinova
2020· article· en· Journal of Financial Markets· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Information-Driven Volatility
Hengjie Ai, Leyla Jianyu Han, Lai Xu
2021· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
How Inefficient is the 1/N Asset-Allocation Strategy?
Victor DeMiguel, Lorenzo Garlappi, Raman Uppal
2005· article· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
21
citations
afffundno abstractunlabeled
The procyclicality of hedge fund alpha and beta
François‐Éric Racicot, Raymond Théoret
2013· article· en· Journal of Derivatives & Hedge Funds· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
21
citations

How this was built: Screen · Findings · About