Browse: L

LSV show contrarian strategies outperform because investors extrapolate past growth too far, not because value strategies are riskier. Value stocks do NOT have higher risk in bad times.

From Savigny's historical school to Hart's open texture: how law evolves the way language does, why natural-language rules always carry a penumbra of uncertainty, and what that means for turning legislative sentences into executable compliance predicates.

Interactive lessons, quizzes, and tutorials on AML, financial markets, and science.

Motivated by modern marketplaces, where the platform or the seller routinely gathers detailed user profiles, we study a novel learning theoretic model that simultaneously involves information and mech

Levi and Reuter critically review the evidence for AML effectiveness, questioning whether the massive global investment in AML compliance reduces crime. Foundational critique of AML regime effectiveness.

Liquid democracy permits voters to vote directly or delegate their votes to others. Existing algorithmic analyses assign each voter a single scalar parameter, interpreted as an independent probability

We propose a two-stage large language model (LLM) framework for zero-shot detection of insider threats and advanced persistent threats (APTs) from heterogeneous security logs. The framework models use