Time and place: 23-27.8.2027 Turku
Learning goal and objectives: The objective is to cover both classical accounting and finance theories and emerging technologies and how firm information (disclosure and reporting) helps investors’ trading decisions and managers’ corporate decisions. We also discuss emerging topics such as using textual analysis and machine learning to analyze firm information, e.g., SEC filings, corporate presentations, conference calls, and social media.
Instruction and examination: The examination requirements are structured as a portfolio assessment. The assigned materials are split into main and background readings: videos, published review papers, and research papers (either published or working papers). Our focus will be on presenting and discussing research papers, and students must be prepared to discuss the main readings when we meet in class. Each seminar participant should expect to address the lecturer’s answers.
Credits: 6 ECTS
Grading: The evaluation is based on the preparatory tasks, the final essay, and active participation during the session. No grades are given in the assessment (passed/failed).
Prerequisites:
Admittance: 25 students are admitted to the course. Application guidelines, last application date 6.6.2027, they be notified of acceptance 18.6.2027
Instructors: Sean S. Cao, Associate Professor of FinTech, AI and Capital Markets (with tenure), Robert H. Smith School of Business, University of Maryland. (Email: scao824@umd.edu)
Course coordinator and contact information: Antti Fredriksson, University of Turku, School of Economics antfre@utu.fi