- Seminar Calendar
- Seminar Archive
- 2024-2025 Semester 2
- 2024-2025 Semester 1
- 2023-2024 Semester 2
- 2023-2024 Semester 1
- 2022-2023 Semester 2
- 2022-2023 Semester 1
- 2021-2022 Semester 2
- 2021-2022 Semester 1
- 2020-2021 Semester 2
- 2020-2021 Semester 1
- 2019-2020 Semester 2
- 2019-2020 Semester 1
- 2018-2019 Semester 2
- 2018-2019 Semester 1
- 2017-2018 Semester 2
- 2017-2018 Semester 1
- 2016-2017 Semester 2
- 2016-2017 Semester 1
- 2015-2016 Semester 1
- 2015-2016 Semester 2
- 2014-2015 Semester 2
- 2014-2015 Semester 1
- 2013-2014 Semester 2
- 2013-2014 Semester 1
- 2012-2013 Semester 2
- 2012-2013 Semester 1
- 2011-2012 Semester 2
- 2011-2012 Semester 1
- 2010-2011 Semester 2
- 2010-2011 Semester 1
- 2009-2010 Semester 2
- 2009-2010 Semester 1
- 2008-2009 Semester 2
- 2008-2009 Semester 1
- 2007-2008 Semester 2
- 2007-2008 Semester 1
- 2006-2007 Semester 2
- 2006-2007 Semester 1
- 2005-2006 Semester 2
- 2005-2006 Semester 1
- Contact
- Site Map
Anonymized Risk Sharing
----------------------------------------------------------------------------------------------------
Department of Systems Engineering and Engineering Management
The Chinese University of Hong Kong
----------------------------------------------------------------------------------------------------
Date: Tuesday, May 20, 14:30 pm – 15:30 pm
Venue: ERB 513, The Chinese University of Hong Kong
Speaker: Professor Steven Kou, Boston University
Title: Anonymized Risk Sharing
Abstract: Anonymized risk sharing, which requires no information on
preferences, identities, private operations, and realized losses from
the individual agents, is especially relevant in the digital economy,
with applications such as P2P health care insurance, revenue sharing
of digital music and videos, and blockchain mining pools. Although
there is extensive literature on axiomatic approaches in decision
theory, so far there is no axiomatic theory for risk sharing. We
present such a theory in the context of anonymized risk sharing.
Pareto equilibrium and various notations of optimality are discussed.
Applications to the digital economy are presented.
Bio: Steven Kou is Allen and Kelli Questrom Professor in Finance at
Questrom School of Business, Boston University. He teaches courses on
FinTech, quantitative finance, and risk management. He was a co-area
editor for Operations Research. Currently, he is a co-editor for
Digital Finance and has served on editorial boards of many journals,
such as Operations Research, Management Science, Mathematics of
Operations Research, and Mathematical Finance. He is a fellow of the
Institute of Mathematical Statistics and won the Erlang Prize from
INFORMS in 2002. Some of his research results have been incorporated
into standard MBA textbooks.
Date:
Tuesday, May 20, 2025 - 14:30