On November 5-6, 2022, the School of Statistics and Management of Shanghai University of Finance and Economics successfully held an International Symposium on Financial Statistics and Risk Management online. The symposium was hosted by the School of Statistics and Management of Shanghai University of Finance and Economics, with co-organizers including the Institute of Data Science and Statistics, the Center for Quantitative Finance and Risk Management, and the Shanghai Data Science and Decision Technology Research Center.
The opening ceremony of the seminar was hosted by Huang Mian, Assistant Dean of the School of Statistics and Management. Feng Xingdong, Dean of the School of Statistics and Management, delivered a speech at the opening ceremony.
The seminar invited a total of 17 well-known scholars and young teachers from both domestic and international fields of financial econometrics and quantitative finance to deliver exciting academic reports. The seminar fully emphasized the characteristics of interdisciplinary collaboration, with 17 reports covering numerous popular research topics such as financial econometrics, asset pricing, risk management, and derivative pricing, utilizing a variety of mathematical tools including machine learning, econometrics, equilibrium analysis, optimization methods, and stochastic analysis.
The International Seminar on Financial Statistics and Risk Management has been in preparation for a long time, with many young and middle-aged teachers from the School of Statistics and Management participating as hosts and contributors. The purpose of this conference is to provide a platform for scholars and experts in the fields of financial econometrics, financial engineering, and risk management for in-depth discussions and academic exchanges, jointly exploring cutting-edge theoretical research in financial econometrics and risk capacity, and promoting the development of related disciplines. The seminar is beneficial for promoting and strengthening academic exchanges and cooperation among researchers in the fields of financial econometrics, financial engineering, and risk management, accelerating the cultivation of talent in the areas relevant to financial econometrics and risk management.
