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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 74 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
ESG-based Index Tracking with Portfolio Policy
Davood Pirayesh Neghab, Mohammad Moradi, Mücahit Çevik, Reza Bradrania
2024· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Hedge Fund Performance under Misspecified Models
David Ardia, Laurent Barras, Patrick Gagliardini, Olivier Scaillet
2020· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Asset pricing with dividend surprises
Pancheng Guo, Shi Li, Yan Wang
2023· article· en· Finance research letters· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Three Essays on Financial Markets
2020· dissertation· en· Spectrum Research Repository (Concordia University)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
The battle of factors
Kodjovi Assoé, Najah Attig, Oumar Sy
2024· article· en· Global Finance Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
OF MERGED ECOMMERCE MUTUAL FUNDS 1
2014· article· en· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Essays in finance
Bijan Aghdasi
2024· dissertation· London School of Economics and Political Science Research Online (London School of Economics and Political Science)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
The Intra-Day Stock Return Periodicity Puzzle
Charlotte Haendler, Steven L. Heston, Robert A. Korajczyk, Ronnie Sadka
2025· preprint· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Université de Montréal and CREST
2006· article· en· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Day Traders, Noise, and Cost of Immediacy
Manoj Dalvi, Prachi Deuskar, Lawrence R. Glosten, Ravi Jagannathan
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
When Does a Mutual Fund's Trade Reveal its Skill?
Zhi Da, Pengjie Gao, Ravi Jagannathan
2008· preprint· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Meeting Analyst Forecasts and Stock Returns
Ioan Mirciov
2010· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Essays in finance
Bijan Aghdasi
2024· dissertation· Open MIND· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Bond elasticity under liquidation risk
Gady Jacoby, Ilona Shiller
2005· article· en· Research in International Business and Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Core Anomalies
2012· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Liquidity Picking and Fund Performance
Feng Jiao, Sergei Sarkissian, David Schumacher
2020· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Distress Risk Puzzle and Analyst Forecast Optimism
K.C. Kenneth Chu, Sophia Weihuan Zhai
2020· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

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