Alejandro Lopez-Lira

1. ZeroPaper: An Autonomous Research System
   Institute for Automated Research, 2026
   SSRN · Institute for Automated Research · Code

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
   SSRN
2. The Memorization Problem: Can We Trust LLMs' Economic Forecasts?
   with Yuehua Tang & M. Zhu
   SSRN · arXiv
3. Do Common Factors Really Explain the Cross-Section of Stock Returns?
   with Nikolai Roussanov
   Jacobs Levy Outstanding Paper Prize
   SSRN
4. Can Large Language Models Trade? Testing Financial Theories with LLM Agents in Market Simulations Management Science, invited
   SSRN · arXiv · Code
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
   SSRN
6. Follow the Pipeline: Anticipatory Effects of Proposed Regulations
   with Suzanne Chang & Joseph Kalmenovitz
   Best Paper Award for Financial Stability
   SSRN
7. Textual Analysis of Short-Seller Research Reports
   with X. Han
   SSRN
8. What Makes a Star Analyst? Evidence on Industry Expertise from 1.2 Million Analyst Reports
   with Y. Tang, Y. Wang & M. Zhu
   SSRN
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
   SSRN
10. Complexity Breaks Arbitrage Pricing Theory
    with Carter Davis · Fisher College of Business WP 2026-03-005 · Charles A. Dice Center WP 2026-05
    SSRN
11. Can LLMs Discover Novel Economic Theories?
    with S. Seyfi & Y. Tang
    SSRN
12. One Prompt, One Paper: Optimal Journal Policy and the AI Submission Flood
    with S. Seyfi
    SSRN
13. ChatGPT as a Time Capsule: The Limits of Price Discovery
    with Sebastian Lehner
    arXiv
14. Demand-Driven Risk and the Cross-Section of Expected Returns
    SSRN

1. PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance
   NeurIPS Datasets & Benchmarks, 2023 · 458 citations
   NeurIPS · arXiv
2. The FinBen: A Holistic Financial Benchmark for Large Language Models
   NeurIPS 37, 2024 · 342 citations
   NeurIPS · arXiv
3. Dolares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English
   ACM SIGKDD (KDD), 2024
   KDD · arXiv
4. FinDER: Financial Dataset for Question Answering and Evaluating Retrieval-Augmented Generation
   ACM ICAIF, 2025
   ICAIF · arXiv
5. Your AI, Not Your View: The Bias of LLMs in Investment Analysis
   ACM ICAIF, 2025
   ICAIF · arXiv
6. FinAgentBench: A Benchmark Dataset for Agentic Retrieval in Financial Question Answering
   ACM ICAIF, 2025
   ICAIF · arXiv
7. FinNLP-AgentScen-2024 Shared Task: Financial Challenges in Large Language Models
   FinNLP Workshop, 2024
   ACL Anthology
8. Information Retrieval in Finance: Industry and Academic Perspectives on Innovation
   ACM SIGIR, 2025
   SIGIR
9. When Agents Trade: Live Multi-Market Trading Arena for LLM Agents
   The ACM Web Conference (WWW), 2026
   WWW · arXiv

1. Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
   2024 · 94 citations
   arXiv
2. Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models
   2023 · 69 citations
   arXiv
3. No Language is an Island: Unifying Chinese and English in Financial Large Language Models
   2024
   arXiv
4. MultiFinBen: A Multilingual, Multimodal, and Difficulty-Aware Benchmark for Financial LLM Evaluation
   2025
   arXiv
5. Bridging Language Models and Financial Analysis
   2025
   arXiv
6. Structuring the Unstructured: A Multi-Agent System for Extracting and Querying Financial KPIs and Guidance
   2025
   arXiv
7. Thematic Scoring: Quantifying Contextual Narratives using Language Models
   2025
   SSRN
8. From Text to Alpha: Can LLMs Track Evolving Signals in Corporate Disclosures?
   2025
   arXiv
9. All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection
   2026
   arXiv
10. Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection
    2026
    arXiv
11. Cross-Sectional Asset Retrieval via Future-Aligned Soft Contrastive Learning
    2026
    arXiv
12. LLM as a Risk Manager: LLM Semantic Filtering for Lead-Lag Trading in Prediction Markets
    2026
    arXiv
13. Evaluating LLMs in Finance Requires Explicit Bias Consideration
    2026
    arXiv
14. Forecasting Future Language: Context Design for Mention Markets
    2026
    arXiv
15. Herculean: An Agentic Benchmark for Financial Intelligence
    2026
    arXiv
16. Concordia: Self-Improving Synthetic Tables for Federated LLMs
    2026
    arXiv

1. I Asked ChatGPT to Manage a Stock Portfolio. Here's How It Did.
   The Wall Street Journal, 2026
2. Someone Gave ChatGPT $100 and Let It Trade Stocks for a Month
   Futurism, July 2025
3. Academic warns of systemic risk from AI-powered trading
   Risk.net, July 2025
4. A professor testing ChatGPT's, DeepSeek's and Grok's stock-picking skills suggests stockbrokers should worry
   MarketWatch, June 2025
5. Can ChatGPT Predict How Stocks Will Perform? New Research Says Yes
   Money, April 2023
6. The researchers that discovered ChatGPT can predict stock price movements discuss what AI investing can (and can't) do
   Fortune, April 2023
7. ChatGPT Can Decode Fed Statements, Predict Stock Moves From Headlines
   Bloomberg, April 2023
8. ChatGPT may be able to predict stock movements, finance professor shows
   CNBC, April 2023
9. Finance Professor Claims ChatGPT Can Predict Stock Performance
   Futurism, April 2023
10. DealBook: corporate risk disclosures during the pandemic
    The New York Times, September 2020
11. How to Beat Analysts and the Stock Market with Machine Learning
    Knowledge@Wharton, October 2020
12. How to beat analysts and the stock market with machine learning
    UNSW BusinessThink, October 2020
13. Using a Company's Own Words to Assess Its Risks
    Knowledge@Wharton, March 2019

1. Can Large Language Models Trade? (FSU AIMLx26)
   YouTube, February 2026
2. LLMs Limits in Finance: Information Overload and Return Predictability
   ESSEC-Amundi Chair Webinar, December 2025
3. Invited Talk: Generative AI in Finance
   NeurIPS 2025 Workshop, December 2025
4. ChatGPT and the Future of Financial Economics Research
   FutFinInfo Webinar (YouTube), June 2023
5. Video lecture series on AI in finance
   Henry Stewart Talks (HSTalks), 2024

1. The Predictive Edge with Dr. Alejandro Lopez-Lira
   Quantopian (YouTube), October 2025
2. Professor unpacks academic experiment on using AI to invest
   Fox Business, The Claman Countdown, June 2025
3. Challenging the Foundation of Asset Pricing Theory
   Excess Returns (podcast), February 2024
4. Using ChatGPT to Forecast Equity Price Movements
   Behind the Markets (WisdomTree / Wharton), July 2023
5. The Impact of ChatGPT on Investing
   Excess Returns (podcast), May 2023
6. AI will definitely increase the productivity of analysts, professor says
   Yahoo Finance Live, April 2023
7. ChatGPT as a stock picker: research breakdown
   CNBC Fast Money, April 2023
8. How ChatGPT is Changing the Way We Think About Finance
   Biz Bytes (OBIS), 2023
9. Generative AI Is Changing The Future of Stock Market Predictions
   ROIS Podcast, 2023

1. The Predictive Edge
   Publisher page, John Wiley & Sons, 2024
2. The Predictive Edge
   Amazon
3. The Predictive Edge (audiobook)
   Audible
4. Book review
   Financial Markets and Portfolio Management, 2025
5. Interview: AI in Financial Forecasting
   AI Street, July 2024
6. Market speculators get an edge through finance professor's new book
   UF Warrington College of Business, August 2024

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