On March 22, the launch and implementation plan demonstration meeting of the key special project "Intelligent Monitoring and Discovery Technology and Application Demonstration for Abnormal Behavior in the Securities Market" (the "Project") of the National Key R&D Program "Technology Support for Social Governance and Smart Society", which is sponsored by Shenzhen Stock Exchange (SZSE) and undertaken by CITIC Securities Co., Ltd., was held in Beijing, marking the official implementation stage of the project.
The meeting was attended by over 60 people, including leaders of the project management units, recommendation units, undertaking units, such as the Ministry of Science and Technology, China Securities Regulatory Commission, and SZSE. The project expert group listened to the project and sub-project implementation plan reports and unanimously agreed to pass the project implementation plan demonstration.
Professor Xiong Xiong of the College of Management and Economics (CoME) at Tianjin University (TJU), along with team members Lin Shen, Lin Zixiao, Zhang Xinxin, Chen Qingchong, and Zhang Yumeng, attended the project kick-off meeting at the CITIC Securities Tower. Professor Xiong made a comprehensive introduction on the research background, task decomposition, implementation route, and organizational management of Sub-Project "Intelligent Simulation System Based on Market Behavior Extraction Features and Information Economics", and received opinions and suggestions from the expert group.
The Project is led by SZSE and consists of five sub-projects. Professor Xiong Xiong of the CoME at TJU leads the "Financial Engineering and Digital Finance" research team to undertake the research work of Sub-Project Four "Intelligent Simulation System Based on Market Behavior Extraction Features and Information Economics." This project aims to study and explore new methods and technologies to identify and warn abnormal trading behavior of investors in the securities market, and to improve the level of regulatory technology and intelligence. The work of Sub-Project Four focuses on the characterization of the heterogeneity and complexity of the micro-subject behavior in China's securities market, and constructs an intelligent simulation system for the securities market based on the information economics system and the characteristics of market micro-subject behavior, which simulates and infers abnormal trading behavior and systemic risk events that may be caused by market innovative factors. It provides simulation technology support for regulators/exchanges to carry out securities market risk prevention.
The "Financial Engineering and Digital Finance" team of Tianjin University was established in the mid-1990s, and conducts scientific research, talent cultivation and social services with the aim of targeting the forefront of international financial academic research and serving the major needs of China's financial development, facing the characteristics of the real composition of the financial market and cognizing the operation and risk laws of the financial system from the perspective of complex systems. Under the guidance of the relevant departments such as the Ministry of Science and Technology and China Securities Regulatory Commission, the sub-project team will work closely with the SZSE to promote the implementation of the project and sub-projects.
The approval of this sub-project is one of the important academic progresses of the CoME, which undertakes the construction of the "Double First-Class" discipline Management Science and Engineering ("Financial Engineering and Digital Finance in the Context of the Internet" direction), and is also an important result of CoME's adherence to the characteristic development concept of "Integration of Management and Engineering," closely combining with China's practice according to the guidance of the "Four Orientations" and carrying out researches on new theories and new methods of China's characteristic financial engineering and digital finance.
By College of Management and Economics
Editor: Sun Xiaofang
