John  Garcia

John Garcia, DBA

Assistant Professor of Finance

he / him / el

Office Hours: By Appointment

About

John joined the School of Management in the fall of 2021 as an Assistant Professor in the area of Finance. John joined CLU having most recently spent 1.5 years teaching analytics at the University of North Texas. Before transitioning to a career in academia in 2020, he spent 21 years in industry; 6 with Ernst & Young and 15 with Toyota, where he held multiple finance and analytics executive-level roles.

John is a Certified Public Accountant and Certified Analytics Professional. He also holds a bachelor’s in accounting (Cal Poly, SLO), a master’s in accounting (University of Notre Dame), a master’s in predictive analytics (Northwestern University), and a doctorate in business administration with a focus on finance and analytics (Creighton University).

Education

DBA, Finance & Analytics, Creighton University, 2020

MS Predictive Analytics, Northwestern University, 2017

MS Accountancy, University of Notre Dame, 2000

B.S. Business Administration, Cal Poly SLO, 1999

Expertise

  • Corporate Finance
  • Behavioral Finance
  • Stock Liquidity
  • Financial Distress
  • Data Mining
  • Machine Learning
  • Analytics
  • FinTech

Publications

Peer Reviewed Publications

 

Conference Presentations and Proceedings

  • Garcia, J. (2022). "Do Employees Waive Financial Red Flags Through the Glassdoor?" Southern Finance Association Annual Meeting, Key West, FL.
  • Garcia, J. (2022). “Herding the Crowds.” Financial Markets and Corporate Governance Conference, Virtual.
  • Garcia, J. (2022). “Bankruptcy Prediction Using Synthetic Sampling.” Southwestern Finance Association Annual Meeting, New Orleans, LA.
  • Garcia, J. (2021). “Analyst Rating Changes and the Predictive Value of News and Twitter Sentiment.” Southwestern Finance Association Annual Meeting, Virtual.
  • Garcia, J. (2020). “Analyst herding and firm-level investor sentiment.” Decision Sciences Institute, Virtual.
  •  Garcia, J. (2020). “An evaluation of bankruptcy prediction algorithms using synthetic samples.” Decision Sciences Institute, Virtual. DSI National Conference Regional Best Paper Award Finalist.
  • Garcia, J. (2020). “Measuring the effect of investor sentiment on financial distress.” INFORMS Annual Meeting, Virtual.
  •  Garcia, J (2020). “Comparative analysis of bankruptcy prediction models with synthetic sampling.” Southwest Decision Sciences Institute, San Antonio, TX. Awarded the SW DSI Best Paper award.
  • Garcia, J. (2019). “Measuring the effect of investor sentiment on liquidity.” Decision Sciences Institute, New Orleans, LA.

©