Announcement of the Inaugural Ken Seng Tan Award in Risk Sciences
Published 22 June, 2026
Risk Sciences is pleased to announce the results of the Inaugural Ken Seng Tan Award in Risk Sciences 2026.
After careful review and deliberation, the Committee has selected the following paper as the award winner:
Winner
"Risk Aversion and Insurance Propensity"
Authors: Fabio Maccheroni, Massimo Marinacci, Ruodu Wang, and Qinyu Wu
Link: https://www.aeaweb.org/articles?id=10.1257/aer.20231529
The Committee has also selected the following two papers as joint runners-up:
Joint Runner-up
"Enterprise Risk Management and Management Earnings Forecasts"
Authors: Chan Li, Kristin Stack, Lili Sun, and Jianren Xu
Link: https://pubsonline.informs.org/doi/10.1287/mnsc.2022.01120
Joint Runner-up
"Uncovering Correlation Sensitivity in Decision Making Under Risk"
Authors: Moritz Loewenfeld and Jiakun Zheng
Link: https://onlinelibrary.wiley.com/doi/10.1111/iere.70035
Established in memory of Professor Ken Seng Tan (1970–2023), the award recognizes outstanding interdisciplinary research in the broad field of risk sciences. It honours Professor Tan's enduring legacy as a distinguished scholar in risk management, actuarial science, and quantitative finance, and his commitment to rigorous, integrative, and practically relevant research on complex risk challenges.
The Committee was impressed by the exceptional quality and diversity of the submitted papers. In line with the award's objectives, the selected papers were distinguished by their interdisciplinary innovation, methodological rigour, relevance to contemporary and emerging risk challenges, and potential to advance both scholarship and practice.
The winner will receive a prize of RMB 5,000 and a certificate of recognition. The award will be presented at the Risk Sciences Annual Conference (RSAC) 2026, to be held at Imperial College London, United Kingdom, on 1–2 September 2026.
We warmly congratulate the award winner and the joint runners-up on this achievement.
Inaugural Ken Seng Tan Award in Risk Sciences Committee
