Keio University Syllabus and Timetable

SEMINAR B(2)

Lecturer(s)WADA, TATSUMA
Credit(s)2
Academic Year/Semester2025 Fall
Day/PeriodThu.2
CampusSFC
Class FormatFace-to-face classes (conducted mainly in-person)
Registration Number16874
Faculty/Graduate SchoolPOLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Year Level1, 2, 3, 4
FieldRESEARCH SEMINARS SEMINARS
Grade TypeThis item will appear when you log in (Keio ID required).
Related ClassesC1069 計量経済学/ECONOMETRICS
C1095 国際金融論/INTERNATIONAL FINANCE
Recommended KnowledgeI suppose the students have a basic knowledge of linear regression. It will be helpful to know linear algebra (rank, inverse, determinants, eigenvalues, eigenvectors, orthogonalization, etc).
LocationSFC
Student Screening
Courses requiring entry to selection should be registered via SOL-A.
*Only students who have a CNS account and who are not students of the Faculty of Policy Studies, Faculty of Environment and Information Studies, Graduate School of Media and Governance, Faculty of Nursing and Medical Care, and Graduate School of Health Management can enter via the system.

Please check K-Support News for the details.
This item will appear when you log in (Keio ID required).
Lottery MethodThis item will appear when you log in (Keio ID required).
Student Screening DetailThis item will appear when you log in (Keio ID required).
Expected Number of AcceptancesThis item will appear when you log in (Keio ID required).
Assignment SubmissionThis item will appear when you log in (Keio ID required).
Contact(Mail)This item will appear when you log in (Keio ID required).
K-Number FPE-CO-05003-311-89
Course AdministratorFaculty/Graduate SchoolFPEPOLICY MANAGEMENT / ENVIRONMENT AND INFORMATION STUDIES
Department/MajorCO
Main Course NumberLevel0Faculty-wide
Major Classification5Research Seminars
Minor Classification00Seminar
Subject Type3Elective subject
Supplemental Course InformationClass Classification3Seminar
Class Format1Face-to-face classes (conducted mainly in-person)
Language of Instruction1Japanese
Academic Discipline89Academic Skills

Course Summary

We will be studying financial econometrics, both theory and applications. A basic understanding of statistics and econometrics is required. Students of this seminar will be required to use MATLAB, Eviews, and Stata.

Course Description/Objectives/Teaching Method/Intended Learning Outcome

We will study econometrics and applied statistics, with a primary focus on time-series analysis of financial data. While the course will mainly involve reading from the assigned textbooks (see below), students writing a senior thesis will be required to present their research progress during class. We will also cover the theoretical foundations of time-series analysis.

Research Seminar Theme

Research in Econometrics and Applied Statistics

Project Theme (next semester)

Financial Econometrics

Active Learning MethodsDescription

This item will appear when you log in (Keio ID required).

Preparatory Study

This item will appear when you log in (Keio ID required).

Course Plan

This item will appear when you log in (Keio ID required).

Method of Evaluation

This item will appear when you log in (Keio ID required).

Textbooks

Oliver Linton (2019) "Financial Econometrics Models and Methods," Cambridge University Press

Reference Books


1. James Hamilton (1995) "Time Series Analysis," Princeton University Press.


2. James Stock and Mark Watson (2019) "Introduction to Econometrics, 4th Edition," Pearson.


3. Walter Enders (2014) "Applied Econometric Time Series, 4th Edition" Wiley.

Lecturer's Comments to Students

This item will appear when you log in (Keio ID required).