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Sunday, January 19

All Hartt Community Division activities and concerts after noon today are canceled due to forecast weather conditions.

Student move-in is expected to proceed as scheduled Monday and Tuesday. However, please note that students and families who experience travel delays or have concerns following today's snow may arrive outside of their scheduled time slot at any time between 8:30 a.m. and 5 p.m. Monday or Tuesday. Students who need to arrive outside of these hours of 8:30 to 5 during these two days may contact the Office of Residential Life at reslife@liashapiro.com.

Please check back here for updates.

Ibrahim Onur Oz

Ibrahim Onur Oz headshot

Associate Professor of Accounting

Accounting & Taxation

Barney School of Business
860.768.4512 Auerbach Hall 406D
Education

PhD, Izmir University of Economics

BS in Business Administration, State University of New York at New Paltz

Dr. Ibrahim Onur Oz is an Associate Professor of Accounting and a Certified Management Accountant (CMA). Before joining the University of Hartford, he taught at Central Connecticut State University.

Dr. Oz has taught the following courses:
  • Intermediate Accounting I
  • Intermediate Accounting II
  • Intermediate Accounting III
  • Cost Accounting
  • Managerial Accounting
  • Financial Accounting
  • International Financial Reporting Standards (IFRS): Analysis and Implementation
  • Accounting For Decision Makers
His research interests include:
  • Financial Distress
  • Earnings Management
  • Audit Quality
  • IFRS

Oz, I.O., T. Yelkenci and G. Meral (2021). The role of earnings components and machine learning on the revelation of deteriorating firm performance. International Review of Financial Analysis, Volume 77.

Oz, I.O., and T.Yelkenci (2018). Examination of real and accrual earnings management: A cross-country analysis of legal origin under IFRS. International Review of Financial Analysis 58, 24-37.

Oz, I.O., and C.S.Mugan (2018). Bankruptcy prediction models’ generalizability: Evidence from emerging market economies. Advances in Accounting 41, 114-125.

Oz, I.O., and T.Yelkenci (2017). A Theoretical Approach to Financial Distress Prediction Modeling. Managerial Finance 43(2), 212-230.

Oz,I.O. and T.Yelkenci (2015). The generalizability of financial distress prediction models: Evidence from Turkey. Journal of Accounting and Management Information Systems 14(4), 685-703.