| Predicting corporate carbon footprints for climate finance risk analyses: a machine learning approach Q Nguyen, I Diaz-Rainey, D Kuruppuarachchi Energy Economics 95, 105129, 2021 | 74 | 2021 |
| Climate transition risk in US loan portfolios: Are all banks the same? Q Nguyen, I Diaz-Rainey, D Kuruppuarachchi, M McCarten, EKM Tan International Review of Financial Analysis 85, 102401, 2023 | 42 | 2023 |
| In search of climate distress risk Q Nguyen, I Diaz-Rainey, D Kuruppuarachchi International Review of Financial Analysis, 2022 | 20 | 2022 |
| Scope 3 emissions: Data quality and machine learning prediction accuracy Q Nguyen, I Diaz-Rainey, A Kitto, BI McNeil, NA Pittman, R Zhang PLOS Climate 2 (11), e0000208, 2023 | 6 | 2023 |
| Price recovery after the flood: risk to residential property values from climate change‐related flooding Q Nguyen, P Thorsnes, I Diaz‐Rainey, A Moore, S Cox, L Stirk‐Wang Australian Journal of Agricultural and Resource Economics 66 (3), 532-560, 2022 | 4 | 2022 |
| Risk to Residential Property Values from Climate Change-Related Flooding Hazards: A Mixed Methods Approach Q Nguyen, I Diaz-Rainey, T Moore, P Thorsnes, S Cox, L McKenzie, ... Available at SSRN 3489445, 2019 | 4 | 2019 |
Dr. Ivan Diaz-RaineyProf. of Finance, Griffith UniversityVerified email at eui.eu
