This course is designed to equip students with a various set of analytical skills, computational tools, and research methodologies essential for producing high-quality research in Finance, Management, and Economics. It emphasizes the principles and practices required to conduct rigorous and impactful research, focusing on methods and real-world applications. Unlike traditional courses that provide a broad overview of knowledge, this course dives deeper into selected advanced topics, prioritizing research design and practical implementation. The curriculum introduces cutting-edge methodologies, including but not limited to: ‧ Macroeconomics ‧ Continuous-time dynamic contracting problems ‧ Computational methods in economics ‧ Game theory applications in Finance ‧ Causal machine learning ‧ Regression discontinuity and kink design A key focus of the course is on the practical application of these methodologies and the development of skills necessary for writing academic research papers. Students will receive guidance on crafting a high-quality term paper and are required to use LaTeX for their submissions. By the end of the course, students are expected to have the tools and knowledge to conduct empirical research independently and the ability to write and present a scientific paper to a professional standard.

The course will be conducted in English. 1.Prerequisites: A basic understanding of economic principles is required. Familiarity with software tools such as Stata, Python, Julia, R, or MATLAB is strongly recommended. 2.Class Participation: Active and regular participation in class discussions is expected. 3.Assignments and Presentations: Students must complete all assigned course requirements, including delivering presentations on relevant topics. 4.Term Paper: Students are required to write, present, and submit a term paper.

There is no designated textbook or fixed reading list for this course. Instructional materials will be provided by the instructor throughout the semester and may include: -- Instructor-prepared lecture notes -- Selected academic journal articles -- Industry reports, case studies, or applied research documents All assigned materials will be distributed via the course platform or announced in class in accordance with the weekly course schedule and learning objectives.

Lecture notes and research papers will be provided for each topic, including both required and supplementary readings. All course materials will be made available on NTU COOL for easy access.