Keio University Syllabus and Timetable

FINANCIAL ECONOMETRICS(GPP)

SubtitleProject in Statistics and/or Finance
Lecturer(s)POTIRON, YOANN
Credit(s)2
Academic Year/Semester2026 Spring
Day/PeriodWed.4
CampusMita
Class FormatFace-to-face classes (conducted mainly in-person)
Registration Number07165
Faculty/Graduate SchoolBUSINESS AND COMMERCE
Department/MajorBUSINESS AND COMMERCE
Year Level3, 4
FieldSPECIALIZED SUBJECTS
Grade TypeThis item will appear when you log in (Keio ID required).
Course DescriptionThis course covers financial econometrics.
K-Number FBC-BC-34353-212-07
Course AdministratorFaculty/Graduate SchoolFBCBUSINESS AND COMMERCE
Department/MajorBCBUSINESS AND COMMERCE
Main Course NumberLevel3Third-year level coursework
Major Classification4Major Field Course
Minor Classification35Iii Major Field Elective Courses - Common
Subject Type3Elective subject
Supplemental Course InformationClass Classification2Lecture
Class Format1Face-to-face classes (conducted mainly in-person)
Language of Instruction2English
Academic Discipline07Economics, 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.