Alejandro Lopez-Lira

Alejandro Lopez-Lira

Assistant Professor of Finance · University of Florida
Warrington College of Business

2,819CitationsGoogle Scholar
18h-index
26i10-index
50+Papers & Books

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 book cover

The Predictive Edge

Outsmart the Market using Generative AI and ChatGPT in Financial Forecasting · John Wiley & Sons, 2024

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Published & Forthcoming Papers

Autonomous Research 1
  1. ZeroPaper: An Autonomous Research System
    Institute for Automated Research, 2026
Finance Working Papers 14
  1. Risk Factors That Matter: Textual Analysis of Risk Disclosures for the Cross-Section of Returns R&R, RFS
    Jacobs Levy Best Paper Prize · WFA Cubist Award · Invesco IQS Factor Investing Prize · Cambridge European Investment Forum Best Paper
  2. The Memorization Problem: Can We Trust LLMs' Economic Forecasts?
    with Yuehua Tang & M. Zhu
  3. Do Common Factors Really Explain the Cross-Section of Stock Returns?
    with Nikolai Roussanov
    Jacobs Levy Outstanding Paper Prize
  4. Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations Management Science, invited
  5. Peer-Reviewed Theory Does Not Help Predict the Cross-Section of Stock Returns
    with Andrew Chen & Tom Zimmermann
    Quoniam Innovation in Data-Driven Investing Prize: Best Paper, 2024
  6. Follow the Pipeline: Anticipatory Effects of Proposed Regulations
    with Suzanne Chang & Joseph Kalmenovitz
    Best Paper Award for Financial Stability
  7. Textual Analysis of Short-Seller Research Reports
    with X. Han
  8. What Makes a Star Analyst? Evidence on Industry Expertise from 1.2 Million Analyst Reports
    with Y. Tang, Y. Wang & M. Zhu
  9. What If Option Closing Prices Were Trustworthy? A Machine Learning Approach
    with Mahendrarajah Nimalendran & Mo Son
    Australian Stock Exchange Prize: Best Paper in Derivatives
  10. Complexity Breaks Arbitrage Pricing Theory and Factor Models
    with Carter Davis
  11. Can LLMs Discover Novel Economic Theories?
    with S. Seyfi & Y. Tang
  12. One Prompt, One Paper: Optimal Journal Policy and the AI Submission Flood
    with S. Seyfi
  13. ChatGPT as a Time Capsule: The Limits of Price Discovery
    with Sebastian Lehner
  14. Demand-Driven Risk and the Cross-Section of Expected Returns
Published Computer Science Research 9
  1. PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance
    NeurIPS Datasets & Benchmarks, 2023 · 458 citations
  2. The FinBen: A Holistic Financial Benchmark for Large Language Models
    NeurIPS 37, 2024 · 342 citations
  3. Dolares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English
    ACM SIGKDD (KDD), 2024
  4. FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation
    ACM ICAIF, 2025
  5. Your AI, Not Your View: The Bias of LLMs in Investment Analysis
    ACM ICAIF, 2025
  6. FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering
    ACM ICAIF, 2025
  7. FinNLP-AgentScen-2024 Shared Task: Financial Challenges in Large Language Models
    FinNLP Workshop, 2024
  8. Information Retrieval in Finance: Industry and Academic Perspectives on Innovation
    ACM SIGIR, 2025
  9. When Agents Trade: Live Multi-Market Trading Arena for LLM Agents
    The ACM Web Conference (WWW), 2026
Computer Science Working Papers 16
  1. Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
    2024 · 94 citations
  2. Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models
    2023 · 69 citations
  3. No Language is an Island: Unifying Chinese and English in Financial Large Language Models
    2024
  4. MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation
    2025
  5. Bridging Language Models and Financial Analysis
    2025
  6. Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance
    2025
  7. Thematic Scoring: Quantifying Contextual Narratives using Language Models
    2025
  8. From Text to Alpha: Can LLMs Track Evolving Signals in Corporate Disclosures?
    2025
  9. All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection
    2026
  10. Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection
    2026
  11. Cross-Sectional Asset Retrieval via Future-Aligned Soft Contrastive Learning
    2026
  12. LLM as a Risk Manager: LLM Semantic Filtering for Lead-Lag Trading in Prediction Markets
    2026
  13. Evaluating LLMs in Finance Requires Explicit Bias Consideration
    2026
  14. Forecasting Future Language: Context Design for Mention Markets
    2026
  15. Herculean: An Agentic Benchmark for Financial Intelligence
    2026
  16. Concordia: Self-Improving Synthetic Tables for Federated LLMs
    2026

Full publication list on Google Scholar →

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