CitationsTitle (First Author, Year)Distilled Core Info513Large language models in finance: A survey (Li et al., 2023)Adoption Roadmap: Proposes a decision framework for choosing between zero-shot, fine-tuning, or custom LLMs based on data/compute constraints.140A survey of LLMs for financial applications (Nie et al., 2024)Resource

CitationsTitle & YearAuthorsDistilled Key Insights759Does Algorithmic Trading Improve Liquidity? (2011)Hendershott, T. et al. Causal Impact Analysis: Uses the 2003 NYSE automation shift as an exogenous instrument to prove Algorithmic Trading (AT) causally improves market quality. Key Findings: AT narrows spreads, reduces adverse selection, and increases quote informativeness, particularly for