(如面向本科生开放,请注明区分内容。 If the course is open to undergraduates, please indicate the
difference.)
本课程是一门研究方法课程,主要涵盖以下课题:金融科技研究中的相关理论和技术(如区块链
技术,智能合约技术等),主流计量经济因果推断实证研究方法,金融和社交网络建模与分析,以及
金融科技相关实证研究的介绍。通过学习,使学生掌握金融科技研究的理论和主要研究方法,并运用
这些方法进行相关的实证研究。该课程为研究生提供了金融科技实证研究的基础,为其学习相关金融
科技技术,从事创新金融行业奠定基础。
本课程还会给学生介绍金融科技与相关实证领域的中外前沿研究文献,特别是其中使用计量经济
因果推断方法的文献。学生会通过大量和深入阅读这些文献,并和教师和其他同学在课堂中对这些文
献进行充分讨论。
This course is a research methods course that mainly covers the following topics: related theories
and technologies in FinTech research (such as blockchain technology, smart contract technology, etc.),
mainstream econometric causal inference empirical research methods, financial and social network
construction modelling and analysis, as well as an introduction to fintech-related empirical research.
Through learning, students can master the theory and main research methods of financial technology
research and use these methods to conduct relevant empirical research. This course provides graduate
students with a foundation for empirical research in FinTech, laying a foundation for them to learn
related FinTech technologies and engage in innovative financial industries.
This course will also introduce students to the cutting-edge research literature in the field of
FinTech, especially those using econometric causal inference methods. Students will read the literature
extensively and in depth, and discuss it thoroughly with teachers and other students in the classroom.