Hany Fahmy

Associate professor, Finance Intellectual Lead


Fahmy’s research interests include Energy Finance, Financial Economics, Financial Econometrics, and Climate Finance and Economics. His current research focuses on clean energy and green investments, climate mitigation and adaption policies, and the impact of climate events that raise investors’ attention to climate risks on clean energy assets and financial markets.

Fahmy’s work has been published in top tier academic journals such as Energy Economics, Applied Economics, and the Journal of Statistical Methods and Applications. His research papers have been accepted and presented at top economic and finance conferences such as the Canadian Economics Association Annual Conference and the American Finance Association Annual Meeting. Fahmy’s work has also been featured in the local media (BCBusiness) and other news outlets.


Fahmy has taught courses in economics, financial econometrics, corporate finance, business-statistics, and time series analysis at various academic institutions in Canada. He has taught and supervised student research at various MBA and PhD programs. In addition to his academic appointments, Fahmy previously worked as a senior economist at HLB Makary Consulting and at the American Chamber of Commerce. He is also an active member of the Canadian Sustainable Finance Network.

Fahmy holds a doctoral degree in economics from Concordia University, a master degree in economics from the American University and an undergraduate degree in mathematics from University of Toronto. He also holds a bachelor degree in business administration and foreign trade. He was awarded the Balvir Singh Award for academic excellence on the basis of an outstanding GPA of 4.02 in Concordia’s doctoral program.


Ph.D. in Economics

Concordia University

MA in Economics

American University

BSc in Mathematics

University of Toronto


Fahmy, H. (Forthcoming). “The cryptocurrency-energy nexus: Evidence from a VAR model” In Big Data in Finance – Opportunities and Challenges of Financial Digitalization, edited by Walker, T., Davis, F., and Schwartz, T. Palgrave Macmillan​​. 

Fahmy, H. (2022). “Investors’ adaptation to climate change: A temporal portfolio choice model with diminishing climate duration hazard​.” In Business Policy Solutions to Climate Change- From Mitigation to Adaptation, edited by Walker, T., McGaughey, J., Goubran, S., and Wagdy, N., Palgrave Macmillan​​. 

DOI: https://doi.org/10.1007/978-3-030-86803-1_11

Fahmy, H. (2022). The rise in investors awareness after the Paris Agreement and the clean energy-oil-technology nexus. Energy Economics, 106(1): 105738.

DOI: https://doi.org/10.1016/j.eneco.2021.105738

Fahmy, H. (2022). Clean energy deserves to be an asset class: A volatility-reward analysis. Economic Modelling, 106(1): 105696. DOI: https://doi.org/10.1016/j.econmod.2021.105696

Fahmy, H. (2021). A reappraisal of the Prebisch-Singer hypothesis using wavelets analysis. Journal of Risk and Financial Management, 14(7): 319-334. DOI: https://doi.org/10.3390/jrfm14070319

Fahmy, H. (2021). How technological emergence, saturation, and rejuvenation are re-shaping the e-commerce landscape and disrupting consumption? A time series analysis. Applied Economics, 53(6): 742-759. DOI: 10.1080/00036846.2020.1813249

Fahmy, H. (2020). Is the sharing economy causing a regime switch in consumption? Journal of Applied Economics, 23(1): 281-298. DOI: 10.1080/15140326.2020.1750121

Fahmy, H. (2020). Mean-variance-time: An extension of Markowitz’s mean-variance portfolio theory. Journal of Economics and Business, 109(1): 1-13. DOI: 10.1016/j.jeconbus.2019.105888

Fahmy, H. (2019). Classifying and modeling nonlinearity in commodity prices using Incoterms. The Journal of International Trade and Economic Development, 28(8): 1019-1046. DOI: 10.1080/09638199.2019.1629616

Fahmy, H. (2017). Testing the empirical validity of the adaptive markets hypothesis, Review of Economic Analysis, 9(1): 169-184. https://openjournals.uwaterloo.ca/index.php/rofea/article/view/1440

Fahmy, H. (2014). Modeling nonlinearities in commodity prices using smooth transition regression models with exogenous transition variables. Journal of Statistical Methods and Applications, 23(4): 577-600. DOI: 10.1007/s10260-014-0275-6


Fahmy, H. (2012). Regime Switching in Commodity Prices (thesis). Concordia University, Montreal, Canada. https://spectrum.library.concordia.ca/36071/