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John Garcia

Associate Professor of Finance & Analytics · Cal Lutheran
(effective Fall 2026)

From immigrant field worker roots to finance researcher — bridging industry and academia.

Recent Updates

My Story

I am an educator and finance researcher who transitioned to academia after 21+ years of executive leadership. Starting from humble roots as the son of immigrant field workers, I built a career spanning Ernst & Young and Toyota North America, where I rose from Assistant Controller to corporate executive roles in finance and analytics. Today, my academic focus includes behavioral finance, investor sentiment, the application of machine learning to financial markets, and championing Generative AI literacy across disciplines.

Areas of Expertise

Finance & Strategy

  • Corporate Finance
  • Behavioral Finance
  • Financial Analysis & Reporting
  • Financial Distress
  • Pricing Strategy

Analytics & Technology

  • Business Analytics
  • Machine Learning
  • Data Mining
  • FinTech
  • Generative AI Literacy

Interdisciplinary Focus

  • AI in Education
  • Diversity, Equity & Inclusion in the Workplace

Education & Credentials

Certifications & Programs

Teaching

I teach 8+ courses across undergraduate, MBA, and EMBA levels, integrating analytics, finance, and artificial intelligence into the business curriculum. My median instructor evaluation is 4.8 / 5.0.

Course Level
UNIV-3ST Generative AI Literacy Undergraduate
BUS-356 Business Analytics II Undergraduate
MBA 526 Business Analytics MBA
Additional courses in Machine Learning & FinTech UG / Grad

Research & Publications

Research Interests

  • Investor Sentiment
  • Behavioral Finance
  • Liquidity & Financial Distress
  • Machine Learning in Finance
  • AI in Business Analytics

Peer-Reviewed Journal Articles

  1. 2026
    DOI “A Stabilizing Force? How Religiosity Moderates the Effect of Sentiment on Stock Liquidity” Review of Behavioral Finance
  2. 2025
    DOI “The Power of Attention: Examining The Roles of Institutional Investor and Macroeconomic News Attention in Shaping Share Liquidity” Global Finance Journal, 67, 101160
  3. 2025
    DOI “Beyond the Headlines: Sentiment Divergence and Financial Distress” Global Finance Journal, 66, 101126
  4. 2025
    DOI “Sentiment Divergence and its Impact on Share Liquidity” Multinational Finance Journal
  5. 2024
    DOI “Herding the Crowds: Effect of Sentiment on Crowdsourced Earnings Forecasts” Financial Markets and Portfolio Management, 38(3), 331–370
  6. 2023
    DOI “Do Employees Wave Financial Red Flags Through the Glassdoor?” Journal of Forensic Accounting Research, 8(1), 160–187
  7. 2023
    DOI “Measuring Valuation Uncertainty: A PCA Approach” Applied Finance Letters, 12(1)
  8. 2022
    DOI “Analysts’ Stock Ratings and the Predictive Value of News and Twitter Sentiment” Investment Analysts Journal, 51(4), 236–252
  9. 2022
    DOI “An Evaluation of Bankruptcy Prediction Algorithms Using Synthetic Samples” Machine Learning with Applications, 9, 100343
  10. 2021
    DOI “Analyst Herding and Firm-Level Investor Sentiment” Financial Markets and Portfolio Management, 35(4), 461–494
  11. 2021
    DOI “Measuring the Effect of Investor Sentiment on Financial Distress” Managerial Finance, 47(12), 1834–1852
  12. 2021
    DOI “Measuring the Effect of Investor Sentiment on Liquidity” Managerial Finance, 47(1), 59–85

Working Papers

  1. 2026
    SSRN “Algorithmic Anchoring: How Prompt-Embedded Reference Points Bias LLM Financial Estimates”
  2. 2025
    SSRN “Homo Silicus is Hyper-Rational: Why LLM Agents Fail to Replicate Attention-Driven Trading” Presented at SWFA 2026
  3. 2025
    SSRN “The Attention Economy of Retail Trading: Evidence from Robinhood and Social Media” Under review at Journal of Behavioral and Experimental Finance

Professional Experience

Academic Positions

Industry Experience

Technical Skills

Fluent in Spanish

Awards & Service

Recognition

University & Professional Service