Course Description

The course aims to equip PhD students with a deep understanding of how Natural Language Processing (NLP) and Artificial Intelligence (AI) are transforming modern finance research. The course has two complementary goals. First, participants will learn how to use textual and AI-based methods as powerful empirical tools—covering the full pipeline from text extraction and cleaning to machine learning models, large language models (LLMs), and state-of-the-art applications in corporate finance, disclosure, and financial intermediation. Second, the course will explore how the rise of big data and AI is reshaping firms’ decisions, markets, and the behavior of economic agents, including managers, analysts, and investors. Throughout the week, students will critically evaluate academic studies, develop hands-on skills, and receive guidance for incorporating NLP and AI into their own research projects.