{ "series": [ { "slug": "uqo-working-papers", "code": "WP", "name_en": "UQO Working Papers", "name_fr": "Cahiers de recherche UQO", "description_en": "Working papers by Simon-Pierre Boucher, Université du Québec en Outaouais (Département des sciences administratives). Numbers are permanent; number 17 was reassigned to the FIRC series before public release and is therefore a gap.", "description_fr": "Cahiers de recherche de Simon-Pierre Boucher, Université du Québec en Outaouais (Département des sciences administratives). Les numéros sont permanents ; le numéro 17 a été transféré à la série FIRC avant diffusion publique et constitue donc un trou.", "sort": 1 }, { "slug": "firc-research-papers", "code": "FIRC", "name_en": "FIRC Research Papers", "name_fr": "Cahiers de recherche FIRC", "description_en": "Papers from the FIRC-funded team project (Kammoun, Tandjambianda, Boucher) on corporate disclosures and AI.", "description_fr": "Cahiers issus du projet d'équipe financé par le FIRC (Kammoun, Tandjambianda, Boucher) sur les divulgations d'entreprises et l'IA.", "sort": 2 } ], "authors": [ { "slug": "simon-pierre-boucher", "given_name": "Simon-Pierre", "family_name": "Boucher", "display_name": "Simon-Pierre Boucher", "is_primary": true, "email": "simon-pierre.boucher@uqo.ca", "website": "https://www.spboucher.ai", "affiliation_en": "Université du Québec en Outaouais", "affiliation_fr": "Université du Québec en Outaouais", "department_en": "Département des sciences administratives", "department_fr": "Département des sciences administratives", "bio_en": "Professor at the Université du Québec en Outaouais. Research in financial econometrics, real estate economics, high-frequency markets and AI systems, with an emphasis on preregistered, reproducible and computationally verified designs.", "bio_fr": "Professeur à l'Université du Québec en Outaouais. Recherche en économétrie financière, en économie immobilière, en marchés à haute fréquence et en systèmes d'IA, avec un accent sur les devis préenregistrés, reproductibles et vérifiés par le calcul.", "sort": 1 }, { "slug": "manel-kammoun", "given_name": "Manel", "family_name": "Kammoun", "display_name": "Manel Kammoun", "is_primary": false, "sort": 2 }, { "slug": "djerrycharli-tandjambianda", "given_name": "Djerrycharli", "family_name": "Tandjambianda", "display_name": "Djerrycharli Tandjambianda", "is_primary": false, "sort": 3 } ], "domains": [ { "slug": "financial-economics", "name_en": "Financial economics", "name_fr": "Économie financière", "accent": "#1f3a5f", "description_en": "Asset pricing, prediction markets, derivatives and the economics of financial information.", "description_fr": "Évaluation des actifs, marchés de prédiction, produits dérivés et économie de l'information financière." }, { "slug": "market-microstructure", "name_en": "Market microstructure", "name_fr": "Microstructure des marchés", "accent": "#5b2333", "description_en": "Price discovery, liquidity, fragility and the behaviour of trading agents.", "description_fr": "Découverte des prix, liquidité, fragilité et comportement des agents de marché." }, { "slug": "high-frequency-econometrics", "name_en": "High-frequency econometrics", "name_fr": "Économétrie à haute fréquence", "accent": "#3b4d61", "description_en": "Realized measures, volatility forecasting and intraday transmission.", "description_fr": "Mesures réalisées, prévision de la volatilité et transmission intrajournalière." }, { "slug": "artificial-intelligence", "name_en": "Artificial intelligence", "name_fr": "Intelligence artificielle", "accent": "#2d4a3e", "description_en": "Language-model systems, agents, inference runtimes and their measured behaviour.", "description_fr": "Systèmes de modèles de langage, agents, moteurs d'inférence et leur comportement mesuré." }, { "slug": "computational-economics", "name_en": "Computational economics", "name_fr": "Économie computationnelle", "accent": "#6b4e16", "description_en": "General-equilibrium theory solved numerically, agent-based markets and simulation experiments.", "description_fr": "Théorie de l'équilibre général résolue numériquement, marchés à base d'agents et expériences de simulation." }, { "slug": "real-estate-economics", "name_en": "Real estate economics", "name_fr": "Économie immobilière", "accent": "#7a3b2e", "description_en": "Hedonic pricing, automated valuation, housing indices, taxation and housing theory.", "description_fr": "Prix hédoniques, évaluation automatisée, indices immobiliers, fiscalité et théorie du logement." }, { "slug": "applied-econometrics", "name_en": "Applied econometrics", "name_fr": "Économétrie appliquée", "accent": "#2f4858", "description_en": "Empirical designs on web-scraped and administrative data: retail prices, used cars, regional economies.", "description_fr": "Devis empiriques sur données administratives et moissonnées : prix de détail, voitures d'occasion, économies régionales." }, { "slug": "scientific-computing", "name_en": "Scientific computing", "name_fr": "Calcul scientifique", "accent": "#444c5c", "description_en": "Distributed estimation, certified proofs, SAT-based discovery and computational mathematics.", "description_fr": "Estimation distribuée, preuves certifiées, découverte par SAT et mathématiques computationnelles." }, { "slug": "interdisciplinary-research", "name_en": "Interdisciplinary research", "name_fr": "Recherche interdisciplinaire", "accent": "#5c4b6b", "description_en": "Research methodology, autonomous research agents and social-science hypotheses tested with formal models.", "description_fr": "Méthodologie de la recherche, agents de recherche autonomes et hypothèses de sciences sociales testées par des modèles formels." } ], "topics": [ { "slug": "hedonic-pricing", "name_en": "Hedonic pricing", "name_fr": "Prix hédoniques" }, { "slug": "automated-valuation", "name_en": "Automated valuation models", "name_fr": "Modèles d'évaluation automatisée" }, { "slug": "housing-price-indices", "name_en": "Housing price indices", "name_fr": "Indices de prix immobiliers" }, { "slug": "property-taxation", "name_en": "Property taxation and assessment", "name_fr": "Fiscalité foncière et évaluation" }, { "slug": "short-term-rentals", "name_en": "Short-term rentals", "name_fr": "Locations de courte durée" }, { "slug": "housing-theory", "name_en": "Housing theory", "name_fr": "Théorie du logement" }, { "slug": "volatility", "name_en": "Volatility and realized measures", "name_fr": "Volatilité et mesures réalisées" }, { "slug": "prediction-markets", "name_en": "Prediction markets", "name_fr": "Marchés de prédiction" }, { "slug": "options-and-derivatives", "name_en": "Options and derivatives", "name_fr": "Options et produits dérivés" }, { "slug": "llm-agents", "name_en": "LLM agents", "name_fr": "Agents LLM" }, { "slug": "inference-systems", "name_en": "Inference systems", "name_fr": "Systèmes d'inférence" }, { "slug": "multi-agent-systems", "name_en": "Multi-agent systems", "name_fr": "Systèmes multi-agents" }, { "slug": "corporate-disclosure", "name_en": "Corporate disclosure", "name_fr": "Divulgation d'entreprise" }, { "slug": "retail-prices", "name_en": "Retail prices and cost of living", "name_fr": "Prix de détail et coût de la vie" }, { "slug": "regional-economics", "name_en": "Regional economics", "name_fr": "Économie régionale" }, { "slug": "used-car-markets", "name_en": "Used-car markets", "name_fr": "Marchés de voitures d'occasion" }, { "slug": "social-complexity", "name_en": "Social complexity and institutions", "name_fr": "Complexité sociale et institutions" }, { "slug": "cryptography", "name_en": "Cryptography", "name_fr": "Cryptographie" }, { "slug": "combinatorics", "name_en": "Combinatorics and graph theory", "name_fr": "Combinatoire et théorie des graphes" }, { "slug": "distributed-estimation", "name_en": "Distributed estimation", "name_fr": "Estimation distribuée" }, { "slug": "research-methodology", "name_en": "Research methodology", "name_fr": "Méthodologie de la recherche" }, { "slug": "general-equilibrium", "name_en": "General equilibrium", "name_fr": "Équilibre général" }, { "slug": "text-as-data", "name_en": "Text as data", "name_fr": "Le texte comme donnée" }, { "slug": "computer-vision", "name_en": "Computer vision", "name_fr": "Vision par ordinateur" }, { "slug": "preregistered-research", "name_en": "Preregistered research", "name_fr": "Recherche préenregistrée" }, { "slug": "quebec", "name_en": "Quebec evidence", "name_fr": "Données du Québec" }, { "slug": "negative-results", "name_en": "Negative and null results", "name_fr": "Résultats négatifs et nuls" }, { "slug": "numerical-precision", "name_en": "Numerical precision and reproducible computation", "name_fr": "Précision numérique et calcul reproductible" } ], "methods": [ { "slug": "hedonic-regression", "name_en": "Hedonic regression", "name_fr": "Régression hédonique", "category": "econometrics" }, { "slug": "quantile-regression", "name_en": "Quantile regression", "name_fr": "Régression quantile", "category": "econometrics" }, { "slug": "spatial-econometrics", "name_en": "Spatial econometrics", "name_fr": "Économétrie spatiale", "category": "econometrics" }, { "slug": "fixed-effects", "name_en": "High-dimensional fixed effects", "name_fr": "Effets fixes de grande dimension", "category": "econometrics" }, { "slug": "gradient-boosting", "name_en": "Gradient boosting and machine-learning benchmarks", "name_fr": "Gradient boosting et bancs d'essai d'apprentissage automatique", "category": "machine-learning" }, { "slug": "cluster-robust-inference", "name_en": "Cluster-robust and bootstrap inference", "name_fr": "Inférence robuste par grappes et bootstrap", "category": "inference" }, { "slug": "monte-carlo", "name_en": "Monte Carlo simulation", "name_fr": "Simulation Monte Carlo", "category": "computation" }, { "slug": "state-space-models", "name_en": "State-space models", "name_fr": "Modèles espace-état", "category": "econometrics" }, { "slug": "event-study", "name_en": "Event study", "name_fr": "Étude d'événement", "category": "econometrics" }, { "slug": "permutation-tests", "name_en": "Permutation and placebo tests", "name_fr": "Tests de permutation et placebos", "category": "inference" }, { "slug": "preregistration", "name_en": "Preregistration with frozen protocol", "name_fr": "Préenregistrement avec protocole gelé", "category": "design" }, { "slug": "agent-based-simulation", "name_en": "Agent-based simulation", "name_fr": "Simulation à base d'agents", "category": "computation" }, { "slug": "llm-extraction", "name_en": "Schema-constrained LLM extraction", "name_fr": "Extraction par LLM à schéma contraint", "category": "machine-learning" }, { "slug": "sentence-embeddings", "name_en": "Sentence embeddings", "name_fr": "Plongements de phrases", "category": "machine-learning" }, { "slug": "meta-analysis", "name_en": "Meta-analysis and meta-regression", "name_fr": "Méta-analyse et méta-régression", "category": "econometrics" }, { "slug": "general-equilibrium-modelling", "name_en": "General-equilibrium modelling", "name_fr": "Modélisation d'équilibre général", "category": "theory" }, { "slug": "connectedness", "name_en": "Diebold–Yilmaz connectedness", "name_fr": "Connectivité de Diebold–Yilmaz", "category": "econometrics" }, { "slug": "har-rv", "name_en": "HAR-RV volatility forecasting", "name_fr": "Prévision de volatilité HAR-RV", "category": "econometrics" }, { "slug": "hazard-models", "name_en": "Hazard and duration models", "name_fr": "Modèles de risque et de durée", "category": "econometrics" }, { "slug": "formal-verification", "name_en": "Formal verification (Lean 4, SAT certificates)", "name_fr": "Vérification formelle (Lean 4, certificats SAT)", "category": "computation" }, { "slug": "randomized-experiments", "name_en": "Randomized controlled experiments", "name_fr": "Expériences contrôlées randomisées", "category": "design" }, { "slug": "variance-decomposition", "name_en": "Shapley variance decomposition", "name_fr": "Décomposition de variance de Shapley", "category": "econometrics" }, { "slug": "exhaustive-enumeration", "name_en": "Exhaustive enumeration with symmetry reduction", "name_fr": "Énumération exhaustive avec réduction par symétrie", "category": "computation" }, { "slug": "portfolio-sorts", "name_en": "Portfolio sorts and Fama–MacBeth regressions", "name_fr": "Tris de portefeuilles et régressions Fama–MacBeth", "category": "econometrics" }, { "slug": "forecast-evaluation", "name_en": "Out-of-sample forecast evaluation (DM, MCS)", "name_fr": "Évaluation de prévisions hors échantillon (DM, MCS)", "category": "econometrics" }, { "slug": "record-linkage", "name_en": "Record linkage and entity resolution", "name_fr": "Appariement d'enregistrements et résolution d'entités", "category": "data" }, { "slug": "distributed-computation", "name_en": "Distributed computation on the MacLustr cluster", "name_fr": "Calcul distribué sur la grappe MacLustr", "category": "computation" }, { "slug": "gpu-computing", "name_en": "GPU computing (Apple Metal, mixed precision)", "name_fr": "Calcul sur GPU (Apple Metal, précision mixte)", "category": "computation" } ], "datasets": [ { "slug": "vrai-prix-transactions", "name_en": "Vrai Prix registered Quebec residential sales", "name_fr": "Ventes résidentielles enregistrées du Québec (Vrai Prix)", "provider": "Vrai Prix (land registry snapshot)", "coverage": "Quebec, 2021–2026", "frequency": "Transaction-level", "access_conditions": "Research copy; not redistributed", "is_public": false }, { "slug": "quebec-assessment-rolls", "name_en": "Quebec municipal assessment rolls", "name_fr": "Rôles d'évaluation municipaux du Québec", "provider": "Quebec municipalities (public rolls)", "coverage": "Quebec", "frequency": "Triennial rolls", "access_conditions": "Public records, matched by the authors", "is_public": true }, { "slug": "immo-ka-listings", "name_en": "Immo-Ka residential listings", "name_fr": "Annonces résidentielles Immo-Ka", "provider": "Immo-Ka aggregator", "coverage": "Quebec", "frequency": "Listing snapshots", "access_conditions": "Owner-authorised research copy", "is_public": false }, { "slug": "centris-listings", "name_en": "Centris active-listing snapshot", "name_fr": "Instantané d'annonces actives Centris", "provider": "Centris", "coverage": "Quebec", "frequency": "Snapshot", "access_conditions": "Snapshot not redistributed", "is_public": false }, { "slug": "zillow-listings", "name_en": "Zillow active listings (United States)", "name_fr": "Annonces actives Zillow (États-Unis)", "provider": "Zillow", "coverage": "United States", "frequency": "Snapshot", "access_conditions": "Not redistributed", "is_public": false }, { "slug": "airbnb-quebec", "name_en": "Airbnb listings, Quebec", "name_fr": "Annonces Airbnb, Québec", "provider": "Airbnb (search-card scrape)", "coverage": "Quebec", "frequency": "Snapshot", "access_conditions": "Scraped; not redistributed", "is_public": false }, { "slug": "canadian-mls-listings", "name_en": "Canadian MLS listings", "name_fr": "Annonces MLS canadiennes", "provider": "MLS (public listing pages)", "coverage": "Canada", "frequency": "Snapshot", "access_conditions": "Not redistributed", "is_public": false }, { "slug": "firstrate-data", "name_en": "FirstRate Data intraday bars", "name_fr": "Barres intrajournalières FirstRate Data", "provider": "FirstRate Data", "coverage": "US equities, ETFs, futures, FX, crypto", "frequency": "1-minute and 5-minute", "access_conditions": "Commercial licence", "url": "https://firstratedata.com", "is_public": false }, { "slug": "hf-market-data", "name_en": "HF Market Data 1-minute bars", "name_fr": "Barres 1 minute HF Market Data", "provider": "HF Market Data (research lake)", "coverage": "25 instruments across asset classes", "frequency": "1-minute", "access_conditions": "Research access", "is_public": false }, { "slug": "polymarket", "name_en": "Polymarket negative-risk markets", "name_fr": "Marchés à risque négatif Polymarket", "provider": "Polymarket (public API)", "coverage": "Macro-event markets", "frequency": "Intraday", "access_conditions": "Public API", "url": "https://polymarket.com", "is_public": true }, { "slug": "uqo-edgar-research-db", "name_en": "UQO EDGAR Research Database (Russell 3000)", "name_fr": "Base de recherche EDGAR de l'UQO (Russell 3000)", "provider": "SEC EDGAR, processed at UQO", "coverage": "Russell 3000 filings", "frequency": "Filing-level", "access_conditions": "Derived from public filings", "is_public": false }, { "slug": "spid", "name_en": "SPID — SEC Project Intelligence Database", "name_fr": "SPID — base d'intelligence des projets SEC", "provider": "UQO (FIRC project)", "coverage": "Russell 3000 strategic projects", "frequency": "Project-level", "access_conditions": "Research database", "url": "https://www.pdb-api.co", "is_public": false }, { "slug": "fabri-ka-catalogue", "name_en": "Fabri-Ka online store catalogue snapshot", "name_fr": "Instantané des catalogues de boutiques en ligne Fabri-Ka", "provider": "Fabri-Ka aggregator", "coverage": "1,569 Quebec online stores, 17 regions", "frequency": "Snapshot (2026-11-01)", "access_conditions": "Owner-authorised read-only copy; not redistributed", "is_public": false }, { "slug": "food-ka-prices", "name_en": "Food-Ka grocery price feeds", "name_fr": "Flux de prix d'épicerie Food-Ka", "provider": "Food-Ka aggregator", "coverage": "54 Quebec grocery feeds, Aug–Nov 2026", "frequency": "Posted-price events", "access_conditions": "Research copy", "is_public": false }, { "slug": "auto-ka-panel", "name_en": "Auto-Ka daily used-car listing panel", "name_fr": "Panel quotidien d'annonces de voitures d'occasion Auto-Ka", "provider": "Auto-Ka aggregator", "coverage": "273,265 Quebec listings, Aug–Nov 2026", "frequency": "Daily", "access_conditions": "Research copy", "is_public": false }, { "slug": "seshat", "name_en": "Seshat Global History Databank (Polaris-2026)", "name_fr": "Seshat Global History Databank (Polaris-2026)", "provider": "Seshat", "coverage": "Historical polities", "frequency": "Polity-century", "access_conditions": "Public release", "url": "https://seshatdatabank.info", "is_public": true }, { "slug": "d-place-ethnographic-atlas", "name_en": "D-PLACE Ethnographic Atlas", "name_fr": "Atlas ethnographique D-PLACE", "provider": "D-PLACE", "coverage": "Ethnographic societies", "frequency": "Cross-section", "access_conditions": "Public", "url": "https://d-place.org", "is_public": true }, { "slug": "vdem-maddison", "name_en": "V-Dem and Maddison Project panel", "name_fr": "Panel V-Dem et Maddison Project", "provider": "V-Dem Institute; Maddison Project", "coverage": "Countries, modern era", "frequency": "Country-year", "access_conditions": "Public", "is_public": true }, { "slug": "statistics-canada", "name_en": "Statistics Canada reference series", "name_fr": "Séries de référence de Statistique Canada", "provider": "Statistics Canada", "coverage": "Canada / Quebec", "frequency": "Monthly", "access_conditions": "Public (open licence)", "url": "https://www.statcan.gc.ca", "is_public": true }, { "slug": "fineweb-edu", "name_en": "FineWeb-Edu subset", "name_fr": "Sous-ensemble FineWeb-Edu", "provider": "Hugging Face", "coverage": "Web text, educational filter", "frequency": "Static", "access_conditions": "Public", "is_public": true }, { "slug": "longbench", "name_en": "LongBench QA subsets", "name_fr": "Sous-ensembles QA LongBench", "provider": "THUDM", "coverage": "Long-context QA", "frequency": "Static", "access_conditions": "Public", "is_public": true }, { "slug": "synthetic-generated", "name_en": "Generated instances with recorded provenance (no external data)", "name_fr": "Instances générées avec provenance enregistrée (aucune donnée externe)", "provider": "Authors", "coverage": "As described in each paper", "frequency": "n/a", "access_conditions": "Released with the code", "is_public": true }, { "slug": "findata-os", "name_en": "FinData OS lakehouse (FirstRate Data 1-minute bars, point-in-time fundamentals, earnings releases)", "name_fr": "Lac de données FinData OS (barres 1 minute FirstRate Data, fondamentaux point-in-time, publications de résultats)", "provider": "FinData OS (author's private lakehouse of FirstRate Data, versioned API)", "coverage": "16,195 U.S. stock symbols incl. 8,069 delisted (2000–2026); quarterly fundamentals for 5,451 entities, 67 metrics, filing dates 2012–2026; 373,326 earnings-release events", "frequency": "1-minute bars; quarterly statements with filing and availability dates", "access_conditions": "Private research licence; hashed extraction manifests and derived aggregates released, no raw record redistributed", "license": "FirstRate Data commercial licence (private research use)", "url": "https://findata.spboucher.ai", "is_public": false } ], "domain_of": { "wp1": "real-estate-economics", "wp2": "real-estate-economics", "wp3": "real-estate-economics", "wp4": "real-estate-economics", "wp5": "real-estate-economics", "wp9": "real-estate-economics", "wp10": "real-estate-economics", "wp11": "real-estate-economics", "wp14": "real-estate-economics", "wp16": "real-estate-economics", "wp18": "real-estate-economics", "wp19": "real-estate-economics", "wp20": "real-estate-economics", "wp21": "real-estate-economics", "wp22": "real-estate-economics", "wp23": "real-estate-economics", "wp26": "real-estate-economics", "wp6": "high-frequency-econometrics", "wp12": "high-frequency-econometrics", "wp7": "financial-economics", "wp8": "financial-economics", "wp15": "market-microstructure", "wp27": "market-microstructure", "wp13": "artificial-intelligence", "wp24": "computational-economics", "wp25": "computational-economics", "wp28": "scientific-computing", "wp32": "scientific-computing", "wp34": "scientific-computing", "wp29": "interdisciplinary-research", "wp35": "interdisciplinary-research", "wp30": "artificial-intelligence", "wp31": "artificial-intelligence", "wp33": "artificial-intelligence", "wp36": "applied-econometrics", "wp37": "applied-econometrics", "wp38": "applied-econometrics", "firc1": "financial-economics", "firc2": "financial-economics", "wp40": "high-frequency-econometrics", "wp39": "financial-economics" }, "secondary_domains": { "wp13": [ "financial-economics" ], "wp26": [ "artificial-intelligence" ], "wp27": [ "artificial-intelligence", "computational-economics" ], "wp25": [ "artificial-intelligence", "financial-economics" ], "wp14": [ "artificial-intelligence" ], "wp20": [ "artificial-intelligence" ], "wp2": [ "artificial-intelligence" ], "wp7": [ "high-frequency-econometrics" ], "wp15": [ "high-frequency-econometrics" ], "wp29": [ "artificial-intelligence" ], "wp28": [ "applied-econometrics" ], "wp30": [ "scientific-computing" ], "wp33": [ "scientific-computing" ], "firc1": [ "artificial-intelligence", "corporate-disclosure" ], "firc2": [ "artificial-intelligence" ], "wp12": [ "financial-economics" ], "wp6": [ "financial-economics" ], "wp8": [ "market-microstructure" ], "wp36": [ "market-microstructure" ], "wp35": [ "computational-economics" ], "wp24": [ "financial-economics" ], "wp23": [ "applied-econometrics" ], "wp22": [ "applied-econometrics" ], "wp21": [ "applied-econometrics" ], "wp38": [ "regional-economics" ], "wp40": [ "scientific-computing" ], "wp39": [ "high-frequency-econometrics", "market-microstructure", "applied-econometrics" ] }, "topics_of": { "hedonic-pricing": [ "wp1", "wp2", "wp3", "wp4", "wp5", "wp9", "wp11", "wp14", "wp16", "wp21", "wp22", "wp36" ], "automated-valuation": [ "wp3", "wp9", "wp11", "wp14", "wp16", "wp20", "wp23", "wp26" ], "housing-price-indices": [ "wp11", "wp22", "wp23" ], "property-taxation": [ "wp10", "wp16", "wp20" ], "short-term-rentals": [ "wp4", "wp5" ], "housing-theory": [ "wp18", "wp19" ], "volatility": [ "wp6", "wp7", "wp12", "wp15", "wp40", "wp39" ], "prediction-markets": [ "wp8" ], "options-and-derivatives": [ "wp7" ], "llm-agents": [ "wp13", "wp25", "wp26", "wp27", "wp29" ], "inference-systems": [ "wp30", "wp31", "wp33" ], "multi-agent-systems": [ "wp26", "wp27", "wp30" ], "corporate-disclosure": [ "firc1", "firc2", "wp39" ], "retail-prices": [ "wp37", "wp38" ], "regional-economics": [ "wp38" ], "used-car-markets": [ "wp36" ], "social-complexity": [ "wp35" ], "cryptography": [ "wp34" ], "combinatorics": [ "wp32" ], "distributed-estimation": [ "wp28" ], "research-methodology": [ "wp13", "wp29", "wp32", "wp34" ], "general-equilibrium": [ "wp18", "wp24", "wp25" ], "text-as-data": [ "wp2", "wp14", "firc1", "firc2" ], "computer-vision": [ "wp14", "wp20" ], "preregistered-research": [ "wp16", "wp19", "wp22", "wp25", "wp26", "wp29", "wp30", "wp31", "wp32", "wp33", "wp35", "wp36", "wp37", "wp38", "wp39" ], "quebec": [ "wp1", "wp2", "wp4", "wp5", "wp10", "wp11", "wp14", "wp16", "wp20", "wp22", "wp23", "wp26", "wp36", "wp37", "wp38" ], "negative-results": [ "wp26", "wp31", "wp33", "wp34", "wp35", "wp38", "wp40", "wp39" ], "numerical-precision": [ "wp40" ] }, "methods_of": { "hedonic-regression": [ "wp1", "wp2", "wp3", "wp4", "wp5", "wp9", "wp11", "wp14", "wp16", "wp22", "wp36" ], "quantile-regression": [ "wp1", "wp3", "wp4", "wp5", "wp10" ], "spatial-econometrics": [ "wp1", "wp4", "wp5", "wp9" ], "fixed-effects": [ "wp5", "wp9", "wp10", "wp14", "wp39" ], "gradient-boosting": [ "wp3", "wp4", "wp5", "wp11", "wp12", "wp23", "wp39" ], "cluster-robust-inference": [ "wp1", "wp3", "wp11", "wp16", "wp36", "wp38", "wp40", "wp39" ], "monte-carlo": [ "wp19", "wp22", "wp23", "wp28", "wp40" ], "state-space-models": [ "wp22", "wp23" ], "event-study": [ "wp8", "wp36", "firc2", "wp39" ], "permutation-tests": [ "wp15", "wp36", "wp37", "wp38", "wp39" ], "preregistration": [ "wp16", "wp19", "wp22", "wp25", "wp26", "wp29", "wp30", "wp31", "wp32", "wp33", "wp35", "wp36", "wp37", "wp38", "wp39" ], "agent-based-simulation": [ "wp25", "wp27", "wp35" ], "llm-extraction": [ "wp14", "wp20", "firc1" ], "sentence-embeddings": [ "wp2", "firc2" ], "meta-analysis": [ "wp21" ], "general-equilibrium-modelling": [ "wp18", "wp24", "wp25" ], "connectedness": [ "wp6", "wp40" ], "har-rv": [ "wp7", "wp12", "wp40" ], "hazard-models": [ "wp36" ], "formal-verification": [ "wp28", "wp32", "wp34" ], "randomized-experiments": [ "wp26", "wp27", "wp29" ], "variance-decomposition": [ "wp9" ], "exhaustive-enumeration": [ "wp32" ], "portfolio-sorts": [ "wp7", "firc2", "wp39" ], "forecast-evaluation": [ "wp12", "wp23", "wp39" ], "record-linkage": [ "wp36", "wp37", "firc1" ], "distributed-computation": [ "wp28", "wp30", "wp33", "wp34", "firc1", "wp40" ], "gpu-computing": [ "wp40" ] }, "datasets_of": { "vrai-prix-transactions": [ "wp16", "wp22", "wp23", "wp26" ], "quebec-assessment-rolls": [ "wp10", "wp16", "wp20" ], "immo-ka-listings": [ "wp20" ], "centris-listings": [ "wp1" ], "zillow-listings": [ "wp3" ], "airbnb-quebec": [ "wp4", "wp5" ], "canadian-mls-listings": [ "wp9" ], "firstrate-data": [ "wp6", "wp40", "wp39" ], "hf-market-data": [ "wp12" ], "polymarket": [ "wp8" ], "uqo-edgar-research-db": [ "firc2" ], "spid": [ "firc1", "firc2" ], "fabri-ka-catalogue": [ "wp38" ], "food-ka-prices": [ "wp37" ], "auto-ka-panel": [ "wp36" ], "seshat": [ "wp35" ], "d-place-ethnographic-atlas": [ "wp35" ], "vdem-maddison": [ "wp35" ], "statistics-canada": [ "wp37" ], "fineweb-edu": [ "wp31" ], "longbench": [ "wp30" ], "synthetic-generated": [ "wp28", "wp32", "wp34", "wp40" ], "findata-os": [ "wp39" ] }, "featured": [ "wp38", "wp26", "wp28", "wp30" ], "reserved": [ { "slug": "wp41", "code": "WP", "number": 41, "title": "CHRONOS-X: Universal Intraday Representation Learning for Probabilistic Financial Forecasting", "internal_code": "wp41_uqo", "note": "In preparation: protocol and data frozen, manuscript sections and main-sample results pending (registered 2026-11-02)." } ] }