John Garcia, DBA

About

Dr. John Garcia joined the School of Management in the fall of 2021 as an Assistant Professor. He teaches both graduate and undergraduate courses in finance and business analytics. Prior to his current position, he taught analytics at the University of North Texas for 1.5 years. Before transitioning to academia in 2020, he held multiple executive-level finance and analytics roles for a total of 21 years, 6 of which were with Ernst & Young and 15 with Toyota.

John is a Certified Public Accountant and Certified Analytics Professional. He is a first generation college student and 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).

John's research interests lie in the fields of behavioral finance, corporate finance, and machine learning. His research has been featured in prominent journals, including the Investment Analyst Journal, Managerial Finance, Financial Markets and Portfolio Management, Journal of Forensic Accounting Research, and Machine Learning with Applications.

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

• Garcia, J. (2022), “Analyst rating changes and the predictive value of news and Twitter sentiment.”  Investment Analysts Journal, https://doi.org/10.1080/10293523.2022.2108651
• Garcia, J. (2022), “An evaluation of bankruptcy prediction algorithms using synthetic samples.” Machine Learning with Applications,  https://doi.org/10.1016/j.mlwa.2022.100343
• Dunham, L.M. and Garcia, J. (2021), "Measuring the effect of investor sentiment on financial distress", Managerial Finance, https://doi.org/10.1108/MF-02-2021-0056
• Dunham, L., Garcia, J. (2021), “Measuring the effect of investor sentiment on liquidity,” Managerial Finance, 47(1), 59-85.  https://doi.org/10.1108/MF-06-2019-0265
• Garcia, J. (2021), “Analyst herding and investor sentiment.” Financial Markets and Portfolio Management, 35(4), 461-494. https://doi.org/10.1007/s11408-021-00382-8

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.