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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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0111 · May 202219922001200920172026
2 results for mislearning

This paper examines how investors mislearn factor risk premia under structural breaks in a misspecified Bayesian framework.

problem Investors' mislearning of factor risk premia under structural breaks in asset pricing models.
method Proposes a minimal Bayesian framework to study how investors learn under a misspecified model that underestimates structural breaks.
result Elevated mislearning is associated with stronger long-horizon returns and Sharpe ratios, consistent with an equilibrium premium for acute model uncertainty.

Sharp bounds on negative impact identified from observational data.

problem Identifying the fraction of users negatively affected by a treatment.
method Developed robust inference algorithm to derive tightest-possible bounds on negative impact.
result Valid conservative bounds on the fraction negatively affected, even when functions are mislearned.