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Amir Hajbaba

Amir Hajbaba, PhD

Associate Professor

School of Business

Abbotsford campus, C2419

Phone: 604-504-7441 ext. 4137

email Amir


Dr. Amir Hajbaba obtained his PhD degree at the National University of Ireland - Cork (UCC).  The focus of his PhD dissertation was examining the explanations of acquirer's under-performance following takeover completion.  He has published and presented in both national and international journals in this area.

Dr. Hajbaba has worked in various positions within the finance industry including stock brokerage, venture capital and private equity firms.  He has taught a variety of courses in Corporate Finance and Investments at a number of local and international institutions as an adjunct professor.  Dr. Hajbaba's main research interest is behavioural finance and studying the effect of two key human emotions, fear and hope, on the financial markets.  Accordingly, he is also interested in cognitive psychology.  His other research interests include:  Corporate Finance, Performance Evaluation, and Corporate Governance.

In his spare time Amir usually can be found on the tennis courts of downtown Vancouver (weather permitting, of course).

Teaching Interests

Courses recently taught at UFV:


Campa, D., & Hajbaba, A. (2015, April). Earnings management in takeovers: Do targets run away with cash? Paper presented at the 38th European Accounting Association (EAA) Annual Congress, Glasgow, United Kingdom.


Campa, D., & Hajbaba, A. (2016). Do targets grab the cash in takeovers: The role of earnings management. International Review of Financial Analysis, 44, 56-64. doi: 10.1016/j.irfa.2016.01.008

Donnelly, R., & Hajbaba, A. (2014). The acquisition puzzle and mispricing: Evidence of over-optimism. International Journal of Managerial Finance, 10(4), 470-493. doi: 10.1108/IJMF-01-2012-0001.

Hajbaba, A., & Donnelly, R. (2013). Acquirers' performance in hot and cold merger markets: Evidence of mispricing. Review of Accounting and Finance, 12(3), 204-225. doi: 10.1108/RAF-Apr-2012-0034 (Highly Commended Paper Award Winner)

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