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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.

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Financial Markets and Investment Strategies
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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
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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 ·
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20002025
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Machine labels · sparse coverage
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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 24 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.

affno abstractunlabeled
Y2K fears and safe haven trading of the U.S. dollar
Aditya Kaul, Stephen G. Sápp
2006· article· en· Journal of International Money and Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
The Telling Trades of Mutual Funds
Gina Nicolosi
2009· article· en· Financial Management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Time-Varying Crash Risk: The Role of Stock Market Liquidity
Peter Christoffersen, Bruno Feunou, Yoontae Jeon, Chayawat Ornthanalai
2016· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Downside loss aversion: Winner or loser?
Ines Fortin, Jaroslava Hlouskova
2015· article· en· Mathematical Methods of Operations Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
venueno affunlabeled
Herding in Smart-Beta Investment Products
Eduard Krkoska, Klaus Reiner Schenk–Hoppé
2019· article· en· Journal of risk and financial management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
venueno affunlabeled
Monday Effect in the Chinese Stock Market
Gerardo Alfonso
2017· article· en· International Journal of Financial Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Trading on Long-Term Information
Corey Garriott, Ryan Riordan
2019· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
Twitter and cryptocurrency pump-and-dumps
David Ardia, Keven Bluteau
2024· article· en· International Review of Financial Analysis· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
afffundno abstractunlabeled
Uninsurable Risk and Financial Market Puzzles
2011· article· en· Durham Research Online (Durham University)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
venueno affunlabeled
Models for Expected Returns with Statistical Factors
José Manuel Cueto, Aurea Grané, Ignacio Cascos
2020· article· en· Journal of risk and financial management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
CFO facial beauty and bank loan contracting
Karel Hrazdil, Jiyuan Li, Gerald J. Lobo, Ray Zhang
2023· article· en· Accounting and Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Funding Liquidity CAPM: International Evidence
Aytek Malkhozov, Philippe Mueller, Andrea Vedolin, Gyuri Venter
2014· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
NAV inflation and impact on performance in China
Mark B. Shackleton, Jiali Yan, Yaqiong Yao
2018· article· en· European Financial Management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
An Integrated Model of University Endowments
Georg Cejnek, Richard Franz, Neal M. Stoughton
2013· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Hedge Funds and Financial Intermediaries
Magnus Dahlquist, Valeri Sokolovski, Erik Sverdrup
2019· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Mean-Preserving-Spread Risk Aversion and The CAPM
Phelim P. Boyle, Chenghu Ma
2013· preprint· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
L-Performance with an Application to Hedge Funds
Christian Gouriéroux, Joann Jasiak, Serge Darolles
2008· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
8
citations

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