Bob Gaglardi School of Business and Economics

Dr. Mohammad Mahbobi Professor

Email: mmahbobi@tru.ca

Research Interests

  • Quantitative Methods and Modelling in Business, Management, and Economics
  • Applied Microeconomics
  • Applied Econometrics and Forecasting in Business, Economics and Finance
  • Application of Machine Learning/Data Mining in Business and Finance
  • International Trade and Trade Policy
  • Crude Oil Market
  • Use of New Teaching and Learning Technologies and Approaches

Education

  • B.Sc. Economics and MSc. Economics National University of Iran,(S.B.U.)
  • Ph.D. (U of S)

Publications

Recent Publications:

  1. Mahbobi, M. & Kimiagari S. (2024). An Integrated Classification Approach in Predicting Daily Stock Market Fluctuations: Implications for the Aftermath of COVID- 19. In Cemil Senel, Burak Unluonen, and Muhammed Veysel Kaya (Eds.) Innovations and Contemporary Trends in Business & Economics (pp. 59-86). Peter Lang, International Academic Publishers Press. https://utpdistribution.com/9783631919576/innovations-and-contemporary-trends-in-business-and-economics/
  2. Kimiagari, S., Mahbobi, M., Toolsee T. (2023), Attracting and retaining FDI: Africa gas and oil sector, Resources Policy, Volume(80),https://doi.org/10.1016/j.resourpol.2022.103219.
  3. Mahbobi, M., Kimiagari, S., and Vasudevan M. (2021), Credit risk classification: an integrated predictive accuracy algorithm using artificial and deep neural networks. Annals of Operations Research, 330, 609-637, https://doi.org/10.1007/s10479-021-04114-z
  4. Mahbobi, M. and Sukhmani R. (2017), Likelihood of financial distress in Canadian oil and gas market: An optimized hybrid forecasting approach, Journal of Economic and Financial Studies (JEFS), Vol(5)3, pp 12-25.
  5. Hasan, S. and Mahbobi, M. (2013), The Increasing Influence of Oil Price on Canadian Stock Market, International Journal of Business and Finance Research. Vol(7)3, pp 27-39.

Courses Taught

  • Applied Econometrics and ML in Business and Economics.
  • Applied Statistics Graduate Course.
  • Forecasting for Business and Economics.
  • Business Modelling and Simulation
  • Principles of Macroeconomics.
  • Managerial Economics.
  • Principles of Microeconomics.
  • Statistics in Business and Economics.
  • Mathematics for Economics.
  • Intermediate Macroeconomics.
  • Operational Research in Management Science.

Professional Affiliations

  • Association for the Advancement of Artificial Intelligence (AAAI)
  • American Economic Association, AEA.
  • Canadian Economic Association, CEA.
  • Society for Teaching and Learning in Higher Education, STLH.
  • International Society for the Scholarship of Teaching & Learning, ISSOTL