Education
- Ph.D., HEC Montreal, 2019
- M.S., Sabanci University, 2010
- B.A., Bogazici University, 2009
Courses
- Principles of Finance
- Corporate Finance
- Seminar in Finance
- Intermediate Corporate Finance
- Financial Management (MBA)
Research Interests
- Empirical Asset Pricing
- Financial Econometrics
- ESG Investing
Biography
Denada Ibrushi, Ph.D., is an Associate Professor of Finance and NuStar Professor of Finance at the Greehey School of Business, St. Mary’s University. She holds a Ph.D. in Finance from HEC Montreal, Canada. Ibrushi, Ph.D., is very passionate about teaching, and her teaching interests consist of but are not limited to, investments, financial management, and corporate finance. She has previously taught finance courses at HEC Montreal. In addition to her teaching responsibilities, Ibrushi, Ph.D. serves as the advisor for the Business Fellows Program and the ACEs Career Mentoring Program.
Ibrushi’s, Ph.D. research interests span the fields of empirical asset pricing, financial econometrics, and ESG investing. She has presented her work at multiple international conferences including the European and Annual Meetings of the Financial Management Association, and at the HEC Montreal-McGill Workshop, where she earned the Best Presentation Award. Her paper, titled “Time Variation in Cash Flows and Discount Rates,” was a semi-finalist at the 2019 Global Conference of Financial Management. During the last term of her Ph.D., Ibrushi, Ph.D. worked as a researcher at HEC Liege in Belgium.
Ibrushi, Ph.D. is a design thinker and has attended the Teaching and Learning Studio Summer 2022 at Stanford University. She enjoys learning foreign languages, traveling and exploring new cultures.
Selected Publications
“Time Variation in Cash Flows and Discount Rates”, with Tolga Cenesizoglu, Journal of Financial Econometrics, 2022;, nbac016, https://doi.org/10.1093/jjfinec/nbac016.
“Reconsidering Systematic Factors During the Covid-19 Pandemic – The Rising Importance of ESG”, with Violeta Diaz and Jialin Zhao, Finance Research Letters 38, 2021, 101870.
“Predicting Systematic Risk with Macroeconomic and Financial Variables”, with Tolga Cenesizoglu, Journal of Financial Research 43, 2020, 649-673