BA, MBA(Minnesota), PhD(Otago).Email quyen.nguyen@otago.ac.nz
School of Surveying Room 123
Climate & Energy Finance Group (CEFGroup)
STRAND Marsden Fund Project
Profile
Dr Quyen Nguyen is the STRAND Marsden Fund Project Postdoctoral Fellow (2021–2024) hosted at the Climate and Energy Finance Group (CEFGroup), Department of Accountancy and 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 and data science.
Publications
Rio, M., Cadzow, M., & Nguyen, Q. (2024). Flooding an HPC: Parallelism optimisation in the STRAND project. Proceedings of the eRangahau | eResearch Aotearoa New Zealand 15th Annual Conference: Navigating an Evolving Research Landscape | He Moana Pukepuke e Ekengia e te Waka. Retrieved from https://eresearchnz.co.nz/ Conference Contribution - Published proceedings: Abstract
Cox, S. C., Ettema, M., Chambers, L., Nguyen, Q., Bodeker, G., Diaz-Rainey, I., & Moore, A. (2023). Forecasting the future state of groundwater in Dunedin under sea level rise. In G. E. Frontin-Rollett & S. D. Nodder (Eds.), Geoscience Society of New Zealand Miscellaneous Publication. 164A, (pp. 53). Wellington, New Zealand: Geoscience Society of New Zealand. [Abstract] Conference Contribution - Published proceedings: Abstract
Nguyen, Q., Diaz-Rainey, I., Kitto, A., McNeil, B. I., Pittman, N. A., & Zhang, R. (2023). Scope 3 emissions: Data quality and machine learning prediction accuracy. PLoS Climate, 2(11), e0000208. doi: 10.1371/journal.pclm.0000208 Journal - Research Article
Nguyen, Q., Diaz-Rainey, I., & Kuruppuarachchi, D. (2023). In search of climate distress risk. International Review of Financial Analysis, 85, 102444. doi: 10.1016/j.irfa.2022.102444 Journal - Research Article
Nguyen, Q., Diaz-Rainey, I., Kuruppuarachchi, D., McCarten, M., & Tan, E. K. M. (2023). Climate transition risk in U.S. loan portfolios: Are all banks the same? International Review of Financial Analysis, 85, 102401. doi: 10.1016/j.irfa.2022.102401 Journal - Research Article