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FINANCIAL ECONOMETRICS(GPP)
| Subtitle | Project in Statistics and/or Finance |
|---|---|
| Lecturer(s) | POTIRON, YOANN |
| Credit(s) | 2 |
| Academic Year/Semester | 2026 Spring |
| Day/Period | Wed.4 |
| Campus | Mita |
| Class Format | Face-to-face classes (conducted mainly in-person) |
| Registration Number | 07165 |
| Faculty/Graduate School | BUSINESS AND COMMERCE |
| Department/Major | BUSINESS AND COMMERCE |
| Year Level | 3, 4 |
| Field | SPECIALIZED SUBJECTS |
| Grade Type | This item will appear when you log in (Keio ID required). |
| Course Description | This course covers financial econometrics. |
| K-Number | FBC-BC-34353-212-07 |
| Course Administrator | Faculty/Graduate School | FBC | BUSINESS AND COMMERCE |
|---|---|---|---|
| Department/Major | BC | BUSINESS AND COMMERCE | |
| Main Course Number | Level | 3 | Third-year level coursework |
| Major Classification | 4 | Major Field Course | |
| Minor Classification | 35 | Iii Major Field Elective Courses - Common | |
| Subject Type | 3 | Elective subject | |
| Supplemental Course Information | Class Classification | 2 | Lecture |
| Class Format | 1 | Face-to-face classes (conducted mainly in-person) | |
| Language of Instruction | 2 | English | |
| Academic Discipline | 07 | Economics, business administration, and related fields | |
Course Contents/Objectives/Teaching Method/Intended Learning Outcome
The main objective of this course is to develop the skills needed to do work in the industry or research with the use of statistics and/or financial data. The course aims to provide students with techniques and receipts for estimation and assessment of quality of statistical models. Each student is expected to choose a project, and to make a report and a final presentation to the class. In addition, the student is expected to discuss about the advancement of the project at least once during the semester. The presentation can include theory, numerical simulations and/or data analysis.
Course Taught by Faculty Member with Professional Experience
Not applicable
Active Learning MethodsDescription
Not applicable
Preparatory Study
Not applicable
Course Plan
Lesson 1
Introductory class #1 -- The professor will present the background required to choose about a project
Lesson 2
Introductory class #2 -- The professor will present the background required to choose about a project
Lesson 3
Students choose and work on their own project in class while the professor can "supervise" them
Lesson 4
Students choose and work on their own project in class while the professor can "supervise" them
Lesson 5
Students work on their own project in class while the professor can "supervise" them
Lesson 6
Students work on their own project in class while the professor can "supervise" them
Lesson 7
Students work on their own project in class while the professor can "supervise" them
Lesson 8
Students work on their own project in class while the professor can "supervise" them
Lesson 9
Students work on their own project in class while the professor can "supervise" them
Lesson 10
Students work on their own project in class while the professor can "supervise" them
Lesson 11
Students work on their own project in class while the professor can "supervise" them
Lesson 12
Students work on their own project in class while the professor can "supervise" them
Lesson 13
Students work on their own project in class while the professor can "supervise" them
Lesson 14
Students work on their own project in class while the professor can "supervise" them
Other
Students work on their own project in class while the professor can "supervise" them
Method of Evaluation
The evaluation will be based on the report (50% of the final grade) and the final presentation (50% of the final grade). The report should be written in Latex, and should be around 15-20 page long. Its style should be based on a research paper, with different sections and including a bibliography. The presentation will be 15 minute long, including 5 minutes for questions. Latex is a typing sofware for high-quality presentation.
Generative AI Policy for Classes
The use of AI is encouraged to study, however the final report should be fully written by the student.