Academic Research

AI-Powered (Finance) Scholarship ArXiv ID: ssrn-5060022 “View on arXiv” Authors: Unknown Abstract Keywords: Generative AI, Large Language Models (LLMs), Academic Research, Natural Language Processing, Automation, Technology Complexity vs Empirical Score Math Complexity: 1.0/10 Empirical Rigor: 2.0/10 Quadrant: Philosophers Why: The paper focuses on the conceptual process of using LLMs to generate academic papers, rather than presenting complex mathematical models or empirical backtesting results. flowchart TD A["Research Goal<br>Automate Academic Paper Generation"] --> B{"Methodology"} B --> C["Data/Input<br>LLM & Financial Datasets"] B --> D["Data/Input<br>Research Questions"] C --> E["Computational Process<br>LLM Content Generation"] D --> E E --> F["Key Findings<br>Successful Paper Automation"] E --> G["Key Findings<br>Validated Methodology"]

My Life in Finance ArXiv ID: ssrn-1981858 “View on arXiv” Authors: Unknown Abstract I was invited by the editors to contribute a professional autobiography to the Annual Review of Financial Economics. I focus on what I think is my best stuff. R Keywords: financial economics, academic research, investment theory, career retrospective, Academic Research Complexity vs Empirical Score Math Complexity: 0.0/10 Empirical Rigor: 0.0/10 Quadrant: Philosophers Why: The paper is a professional autobiography with no mathematical formulas, code, backtests, or empirical data, focusing instead on personal narrative and career highlights. flowchart TD A["Research Goal: Document career contributions<br/>in financial economics"] --> B["Methodology: Selective retrospective analysis<br/>of published works"] B --> C["Data: Personal research portfolio<br/>and seminal papers"] C --> D["Computation: Critical synthesis &<br/>theoretical impact assessment"] D --> E{"Key Findings/Outcomes"} E --> F["Investment Theory Advances"] E --> G["Financial Economics Frameworks"] E --> H["Academic Career Insights"]

My Life inFinance ArXiv ID: ssrn-1553244 “View on arXiv” Authors: Unknown Abstract I was invited by the editors to contribute a professional autobiography for the Annual Review of Financial Economics. I focus on what I think is my best stuff. Keywords: financial economics, academic research, investment theory, career retrospective, Academic Research Complexity vs Empirical Score Math Complexity: 2.5/10 Empirical Rigor: 1.5/10 Quadrant: Philosophers Why: The text is a professional autobiography discussing historical research and theoretical concepts like market efficiency and the joint hypothesis problem, with no mathematical formulas, code, or detailed empirical data presentation. flowchart TD A["Research Goal: Document key contributions to financial economics"] --> B["Key Methodology: Career retrospective analysis"] B --> C["Data/Inputs: Authored papers & career milestones"] C --> D["Computational Process: Synthesize & evaluate impact"] D --> E["Key Findings: Impact on investment theory & policy"]