Skip to content
Cumulant

Research

Current research.

Cumulant studies difficult questions across finance, risk, statistical inference, model reliability, humanitarian allocation, and AI-assisted research systems.

Research programs

Financial inference and model risk

Statistical inference and model reliability in financial data, where limited decision counts and flexible analysis can make findings fragile.

Backtest inferenceDecision timingResearcher degrees of freedomModel selectionFalse discoveryRobustnessEvent studiesStatistical fragility

Portfolios and capital allocation

How diversification, concentration, and allocation behave under uncertainty and in the tails.

DiversificationDiminishing marginal risk reductionPortfolio constructionConcentrationAllocation under uncertaintyTail riskScenario analysis

Humanitarian finance

Whether allocation methods from finance can help humanitarian organizations reason about concentration, uncertainty, and limited resources.

Humanitarian resource allocationNonprofit capital allocationProgram concentrationGeographic concentrationOperational uncertaintyMission constraintsLimited resourcesImpact measurement

AI-assisted research systems

Whether multi-agent, AI-assisted workflows improve speed without sacrificing citation validity, code reliability, reproducibility, or human accountability.

Multi-agent researchCitation reliabilityCode reliabilityAutomated critiqueModel disagreementHuman reviewReproducibilityResearch provenance

Replication and failure analysis

Reproducing findings, testing published claims, diagnosing artifacts, and preserving null and failed results.

Reproducing findingsTesting published claimsDiagnosing artifactsPreserving null resultsComparing in-sample and out-of-sample behaviorDocumenting failed hypotheses

Projects

Featured projects.