Seminar I (C)

Seminar I (C)

Major Courses

Major course

Graduate School of Science

All

KCWMS5MCA3

4.00Credits

演習 (Seminar)

Spring semester 2026,Fall semester 2026

(Spring semester)

Bishnu Kumar Adhikary,Bishnu Kumar Adhikary

Graduate School of Social Science

English

None

1／2／3／4

10:00 - 17:00
Room A317 (Research Building 1)
School of Economics and Management

By appointment (adhikarykobejp@gmail.com)

1◎／2◎／3◎

2◎／3◎／4◎

1-1◎／1-2◎／2-1◎

Ability to keep polishing／Ability to collaborate

This seminar intends to discuss how to select a good topic for producing a quality master's thesis in the field of accounting and finance. In this seminar, students will learn how to systematically review past literature and figure out key research questions, identify critical theories, draft hypotheses, collect data, adopt appropriate univariate and multivariate analysis, present and discuss research results, and offer new avenues for research with policy implications. Then, it will shed light on topics such as corporate governance of the listed firms, earnings management, crowdfunding, venture capitalists, business angels, credit guarantee schemes, initial coin offerings, foreign direct investment, ESG performance, socially responsible finance, and the role of artificial intelligence in financial reporting. At the end, the students will produce an academic paper related to their research interests.

Subtitle: Research in Accounting
Keywords: Accounting, finance, corporate governance, venture capital, research, academic writing.

Lecture 1
Critical and Analytical thinking in exploring research ideas
Lecture 2
Deductive versus inductive research                                                                    
Lecture 3
Time series, cross-section, and panel data
Lecture 4
Techniques to review an academic article
Lecture 5
Introduction to corporate governance
Lecture 6
Reading of academic papers
Lecture 7
Understanding Credit Guarantee Schemes
Lecture 8
Review of academic papers
Lecture 9
Introduction to Crowdfunding
Lecture 10
Review of academic papers
Lecture 11
Understanding Earnings Management
Lecture 12
Review of academic papers
Lecture 13
Hypothesis testing and research methods
Lecture 14
Paper presentation by students
Lecture 15
Review of the seminar outcome/ final reports

In-person

Not required

Completely forbidden

The use of generative AI is completely forbidden

There is no textbook for this seminar. The instructor will supply all materials in the classroom.

Read as many academic articles as possible related to your thesis

This course is open to anyone, irrespective of specialization. Students will be assessed based on their conceptual and quantitative skills in understanding academic papers. Students will be given academic papers and cases as a home task to measure their conceptual and quantitative skills. This requires active study at home at least two hours before each lecture. This will take nearly 30 hours in total.  Finally, students need to write a final report to complete the course.  Altogether, this course will take 60 hours of study to attain a good grade.

Teaching pedagogy includes lectures, academic readings, cases, group discussions, assignments, and presentations. This is an interactive class. The instructor will provide the necessary materials in the classroom. Students must study outside the class for about two hours before each lecture to participate actively in classroom discussions. Finally, students need to produce an academic paper at the end of the seminar.

Class contributions 25%
Presentation 25%
Final report 50%

In the classroom

Students should be sincere when attending this seminar. They should read class materials at home to participate actively in classroom discussions.

Not avialable