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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 Risk and Volatility Modeling
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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
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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.

1,344 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.
1,344 works in the cohort · of 4,299,418page 12 of 27

Labels cover 1 of 1,344 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 1,344 of 1,344 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
On a multivariate Pareto distribution
Alexandru V. Asimit, Edward Furman, Raluca Vernic
2009· article· en· Insurance Mathematics and Economics· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Are there Structural Breaks in Realized Volatility
Chun Liu, John M. Maheu
2007· article· en· RePEc: Research Papers in Economics· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
afffundno abstractunlabeled
Tail Dependence of the Gaussian Copula Revisited
Edward Furman, Alexey Kuznetsov, Jianxi Su, Ričardas Zitikis
2016· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Nonparametric Dynamic Conditional Beta
John M. Maheu, Azam Shamsi Zamenjani
2019· article· en· Journal of Financial Econometrics· Economics, Econometrics and Finance
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
6
citations
fundno affunlabeled
A Bayesian Time Varying Approach to Risk Neutral Density Estimation
Roberto Casarin, Germán Molina, Enrique ter Horst
2018· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Vine copula models with GLM and sparsity
Dezhao Han, Ken Seng Tan, Chengguo Weng
2016· article· en· Communication in Statistics- Theory and Methods· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
5
citations
afffundno abstractunlabeled
Estimation of multivariate tail quantities
Xiaoting Li, Harry Joe
2023· article· en· Computational Statistics & Data Analysis· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Reflecting on the VPIN Dispute
Torben G. Andersen, Oleg Bondarenko
2013· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations
afffundno abstractunlabeled
Paths and Indices of Maximal Tail Dependence
Edward Furman, Jianxi Su, Ričardas Zitikis
2014· article· en· SSRN Electronic Journal· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About