Pioneering the First Course Worldwide on Text Analytics in Finance and Fintech
The University of Hong Kong
This project describes the development and implementation of the first course worldwide on text analytics and natural language processing (NLP) in finance and fintech. This is a cutting-edge topic that is gaining an increasing amount of attention both in academia as well as the industry and with regulators. People often ask me what this is all about. An example I often give is to analyze the words in the written statements by central banks to determine whether they are going to raise interest rates in the future. This is a trillion-dollar question and the techniques learned in this course can provide at least partial answers to this important topic. Another example is to analyze the text in company filings such as annual reports to learn more about the company and to ultimately make more profitable investment decisions. While a lot of work has been done before in fields such as computer science and statistics, there is relatively little prior information available on how this knowledge can be transferred to and applied in fields such as finance and fintech. Based on my own research expertise, this course has been developed to fill this gap and has been successfully taught for the first time worldwide at The University of Hong Kong from January to March 2018 in the Master of Finance Program of the Faculty of Business and Economics. This poster details the development and implementation of this course, which is the first of its kind worldwide.