Assistant Research Fellow
Dr Quyen Nguyen is the STRAND Marsden Fund Project Postdoctoral Fellow (2021–2024) hosted at the Climate & Energy Finance Group (CEFGroup), Department of Accountancy & Finance, University of Otago.
She is the principal modeller for the STRAND Marsden Fund Project entitled "Should I stay or should I go? Climate-change risks to property values across space and time, and the related implications for financial stability".
Dr Nguyen is also working with EMMI on applying machine learning techniques to predict and forecast corporate carbon footprints.
Dr Nguyen completed her PhD Essays on Climate Finance Transition Risks (2018–2021) under the supervision of Associate Professor Ivan Diaz-Rainey and Dr Duminda Kuruppuarachchi.
Prior to moving into academia, Dr Nguyen worked in a number of finance, risk management and business analytics roles for Intel, Pfizer and a US healthcare start-up. Her current teaching and research interests are mainly in climate finance & data science.
She holds a BA in International Business Economics, an MBA (focused in finance) (Minnesota), and a PhD in Finance (Otago).
Nguyen, Q., Thorsnes, P. E., Diaz-Rainey, I., Moore, A., Cox, S., & Stirk-Wang, L. (2022). Price recovery after the flood: Risk to residential property values from climate change-related flooding. Australian Journal of Agricultural & Resource Economics. Advance online publication. doi: 10.1111/1467-8489.12471
Nguyễn, Q. T. H. (2021). Essays on climate finance transition risk (PhD). University of Otago, Dunedin, New Zealand. Retrieved from http://hdl.handle.net/10523/12130
Nguyen, Q., Diaz-Rainey, I., & Kuruppuarachchi, D. (2021). Predicting corporate carbon footprints for climate finance risk analyses: A machine learning approach. Energy Economics, 95, 105129. doi: 10.1016/j.eneco.2021.105129
Nguyen, Q., Diaz-Rainey, I., Moore, T., Thorsnes, P., Cox, S., McKenzie, L., & Stirk-Wang, L. (2019). Risk to residential property values from climate change-related flooding hazards: A mixed methods approach. SSRN. 71p. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3489445