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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
fundfunder
venuejournal
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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 35 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
Too Big to Fail or Too Deceitful to be Caught?
Olivier Mesly, Hareesh Mavoori, François‐Éric Racicot
2021· article· en· Journal of Economic Issues· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
fundno affunlabeled
Event-day Options
Jonathan H. Wright
2020· preprint· en· National Bureau of Economic Research· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
The Puzzle of the Harmonious Stock Prices
Randall Mørck, Bernard Yeung
2001· article· en· World Economy· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Time Variation in Cash Flows and Discount Rates
Tolga Cenesizoglu, Denada Ibrushi
2022· article· en· Journal of Financial Econometrics· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Why Do Predicted Stock Issuers Earn Low Returns?
Charles M.C. Lee, Kezhi Li
2022· article· en· The Review of Asset Pricing Studies· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
The Dynamic Informativeness of Scheduled News
Julio A. Crego, Jasmin Gider
2023· article· en· Management Science· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Evaluating the Impact of Portfolio Mandates
Jack Favilukis, Lorenzo Garlappi, Raman Uppal
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
A contingent claim analysis of closed-end fund premia
Bob Korkie, Mansao Nakamura, Harry J. Turtle
2001· article· en· International Review of Financial Analysis· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
Earnings Opacity and Closed-End Country Fund Discounts
Feng Chen, Ole‐Kristian Hope, Qingyuan Li, Xin Wang
2016· article· en· Journal of Accounting Auditing & Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
venueno affunlabeled
Modelling Sector-Level Asset Prices
Daniel J. Tulloch, Ivan Diaz‐Rainey, I. M. Premachandra
2020· article· en· Journal of risk and financial management· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Liquidity and Information in Order Driven Markets
Ioanid Roşu
2010· article· en· HAL (Le Centre pour la Communication Scientifique Directe)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Resolving the Presidential Puzzle
Oumar Sy, Ashraf Al Zaman
2011· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
A Model of Anomaly Discovery
Qi Liu, Bo Sun, Hongjun Yan, Lei Lü
2015· article· en· International Finance Discussion Paper· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
fundno affunlabeled
Risk, Timing and Overoptimism in Private Placements and Public Offerings
Cécile Carpentier, Jean-François L’Her, Stephan B. Smith, Jean‐Marc Suret
2007· preprint· en· Érudit documents and data repository (Érudit Consortium, University of Montreal)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Information provision in financial markets
Moez Bennouri, Robert Clark, Jacques Robert
2009· article· en· Annals of Finance· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Neuroeconomics Hype or Hope? An Answer
Alexandre Truc
2023· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
How retail investors affect the stock market?
Xiaozhou Zhou, Feng Zhan, Chang Chan
2024· article· en· Pacific-Basin Finance Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
3
citations

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