Alejandro Lopez-Lira
Assistant Professor of Finance · University of Florida
Warrington College of Business
About
I am an Assistant Professor of Finance at the University of Florida. My research studies how machine learning and large language models reshape financial markets: return predictability, textual analysis of disclosures, and the cross-section of expected returns.
I hold a Ph.D. in Finance from the Wharton School, University of Pennsylvania, and a B.A. and M.A. in Economics and Financial Management from ITAM. Before joining the University of Florida I was an Assistant Professor of Finance at BI Norwegian Business School.
Research interests: Fintech · Machine Learning · Large Language Models · Asset Pricing · Textual Analysis · Macro Finance · Private Equity.
Book
The Predictive Edge
Outsmart the Market using Generative AI and ChatGPT in Financial Forecasting · John Wiley & Sons, 2024
Published & Forthcoming Papers
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Can ChatGPT Forecast Stock Price Movements? Return Predictability and Large Language Models Accepted, JFEJournal of Financial Economics, forthcoming, with Yuehua Tang. 871 citationsBlackRock Award for Best Paper in Funds Management, 2023
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Man vs. Machine Learning: The Term Structure of Earnings Expectations and Conditional BiasesThe Review of Financial Studies, 36(6), 2023, with J. H. van Binsbergen & X. Han
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Non-Standard ErrorsThe Journal of Finance, 79(3), 2024, as part of the #fincap project
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Why Do Managers Disclose Risks Accurately? Textual Analysis, Disclosures, and Risk ExposuresEconomics Letters, 204, 2021
Autonomous Research 1
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ZeroPaper: An Autonomous Research SystemInstitute for Automated Research, 2026
Finance Working Papers 14
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Risk Factors That Matter: Textual Analysis of Risk Disclosures for the Cross-Section of Returns R&R, RFSJacobs Levy Best Paper Prize · WFA Cubist Award · Invesco IQS Factor Investing Prize · Cambridge European Investment Forum Best Paper
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The Memorization Problem: Can We Trust LLMs' Economic Forecasts?with Yuehua Tang & M. Zhu
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Do Common Factors Really Explain the Cross-Section of Stock Returns?with Nikolai RoussanovJacobs Levy Outstanding Paper Prize
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Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations Management Science, invited
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Peer-Reviewed Theory Does Not Help Predict the Cross-Section of Stock Returnswith Andrew Chen & Tom ZimmermannQuoniam Innovation in Data-Driven Investing Prize: Best Paper, 2024
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Follow the Pipeline: Anticipatory Effects of Proposed Regulationswith Suzanne Chang & Joseph KalmenovitzBest Paper Award for Financial Stability
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Textual Analysis of Short-Seller Research Reportswith X. Han
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What Makes a Star Analyst? Evidence on Industry Expertise from 1.2 Million Analyst Reportswith Y. Tang, Y. Wang & M. Zhu
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What If Option Closing Prices Were Trustworthy? A Machine Learning Approachwith Mahendrarajah Nimalendran & Mo SonAustralian Stock Exchange Prize: Best Paper in Derivatives
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Complexity Breaks Arbitrage Pricing Theory and Factor Modelswith Carter Davis
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Can LLMs Discover Novel Economic Theories?with S. Seyfi & Y. Tang
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One Prompt, One Paper: Optimal Journal Policy and the AI Submission Floodwith S. Seyfi
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ChatGPT as a Time Capsule: The Limits of Price Discoverywith Sebastian Lehner
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Demand-Driven Risk and the Cross-Section of Expected Returns
Published Computer Science Research 9
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PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for FinanceNeurIPS Datasets & Benchmarks, 2023 · 458 citations
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The FinBen: A Holistic Financial Benchmark for Large Language ModelsNeurIPS 37, 2024 · 342 citations
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Dolares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and EnglishACM SIGKDD (KDD), 2024
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FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented GenerationACM ICAIF, 2025
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Your AI, Not Your View: The Bias of LLMs in Investment AnalysisACM ICAIF, 2025
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FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question AnsweringACM ICAIF, 2025
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FinNLP-AgentScen-2024 Shared Task: Financial Challenges in Large Language ModelsFinNLP Workshop, 2024
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Information Retrieval in Finance: Industry and Academic Perspectives on InnovationACM SIGIR, 2025
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When Agents Trade: Live Multi-Market Trading Arena for LLM AgentsThe ACM Web Conference (WWW), 2026
Computer Science Working Papers 16
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Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications2024 · 94 citations
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Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models2023 · 69 citations
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No Language is an Island: Unifying Chinese and English in Financial Large Language Models2024
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MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation2025
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Bridging Language Models and Financial Analysis2025
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Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance2025
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Thematic Scoring: Quantifying Contextual Narratives using Language Models2025
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From Text to Alpha: Can LLMs Track Evolving Signals in Corporate Disclosures?2025
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All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection2026
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Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection2026
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Cross-Sectional Asset Retrieval via Future-Aligned Soft Contrastive Learning2026
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LLM as a Risk Manager: LLM Semantic Filtering for Lead-Lag Trading in Prediction Markets2026
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Evaluating LLMs in Finance Requires Explicit Bias Consideration2026
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Forecasting Future Language: Context Design for Mention Markets2026
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Herculean: An Agentic Benchmark for Financial Intelligence2026
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Concordia: Self-Improving Synthetic Tables for Federated LLMs2026
Media & Press
Contact
Finance, Insurance & Real Estate Department
Warrington College of Business, University of Florida
312 Stuzin Hall, PO Box 117168, Gainesville, FL 32611
alejandro.lopez-lira@warrington.ufl.edu · +1 352-392-4896