Ninth PKU-NUS Annual International Conference

 on Quantitative Finance and Economics

17 – 18 May 2025

PKU Beijing, China

The 9th PKU-NUS Annual International Conference on Quantitative Finance and Economics (17–18 May 2025, Beijing, China) will be jointly organized by:

1. Key Laboratory of Mathematical Economics and Quantitative Finance, Peking University,

2. HSBC Business School, Peking University,

3. Risk Management Institute, National University of Singapore.

This international conference aims to provide a platform for researchers and practitioners from academia and    industry to enhance their quantitative finance techniques, explore the latest investment strategies and manage the fundamental regulatory changes in the financial sector.

Programme

The scientific programme will follow the format of an academic conference. It will solicit original, unpublished contributions in all aspects of quantitative finance and economics to be reviewed and selected by an international panel of experts. Concurrent sessions will be devoted to the dissemination of scientific findings. Suggested topics of interest include, but are not limited to:

•     Actuarial Science

•     Algorithmic trading

•     Computational finance

•     Econometrics

•     Financial derivatives

•     Financial modelling

•     FinTech

•     Governance

•     Machine Learning in Economics

•     Machine Learning in Finance

•     Macroeconomics

•     Mathematical economics

•     Mean field game theory

•     Microeconomics

•     Monetary economics

•     Portfolio selection

•     Risk management

The scientific program will also feature plenary talks by renowned researchers.

Paper Submission

Submissions and registrations may be made via the conference website (https://english.phbs.pku.edu.cn/nus/). The submission deadline is 11 April 2025. The authors will be notified of the review committee's decision by 18 April 2025.There are no registration fees for the conference.

Contact Us

If you have any queries, please contact Ms.Cao Jin at lmeqf@gsm.pku.edu.cn.