BUS611 Seminar in Financial Risk Management

Syllabus | International University of Sarajevo - Last Update on Mar 03, 2026

Referencing Curricula

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Department of Economics and Management

Academic Year

Semester

Course Code

BUS611

Weekly Hours

3 Teaching + 0 Practice

ECTS

Prerequisites

None

Teaching Mode Delivery

Face-to-face

Prerequisite For

Teaching Mode Delivery Notes

Cycle

III Cycle

TBA

Course Lecturer

Position

Phone

033 957

Assistant(s)

Assistant E-mail

Course Objectives

The objective of this course is to provide a rigorous examination of financial risk management in a complex and dynamic financial environment. It focuses on advanced risk measurement techniques, financial derivatives, stress testing, regulatory frameworks, and the interplay of systemic risk and market stability. By integrating both theoretical foundations and empirical applications, the course equips students with the necessary analytical tools for high-level financial risk assessment and decision-making.

Learning Outcomes

After successful completion of the course, the student will be able to:

Develop a deep understanding of financial risk categories, including market, credit, operational, and liquidity risk.

Analyze quantitative models used for risk assessment, such as Value-at-Risk, Expected Shortfall, and Extreme Value Theory.

Apply advanced econometric techniques in financial risk modeling.

Effectively analyze and communicate complex financial risk concepts, methodologies, and research findings through high-quality reports and presentations tailored to diverse financial and regulatory audiences.

Course Materials

Required Textbook

No specific textbook / The list of required readings will be delivered separately.

Additional Literature

Teaching Methods

The methods include lectures

Student presentations

Projects

Research papers

And class discussions.

Weekly Topics

This weekly planning is subject to change with advance notice.

Week	Topic	Readings / References
1	Introduction to Financial Risk Management
2	Market Risk Measurement and Management
3	Credit Risk Modeling
4	Operational Risk
5	Operational and Cybersecurity Risks
6	Liquidity Risk
7	Derivatives and Risk Hedging Strategies
8	Midterm component
9	Stress Testing and Scenario Analysis
10	Systemic Risk and Financial Contagion
11	Advanced Econometrics for Risk Modeling
12	Risk Regulation and Compliance
13	Behavioral Aspects of Risk Management
14	Emerging Risks in Financial Markets
15	Empirical Methodologies in Financial Risk Research

Course Schedule (All Sections)

Course Schedules with all sections will be available here soon.

Office Hours & Room

Course Office hours will be available here soon.

Assessment Methods and Criteria

Assessment Components

40%x1

Final Paper

AI: Not Allowed

Alignment with Learning Outcomes :

30%x

Midterm component

AI: Not Allowed

Alignment with Learning Outcomes :

30%x

Other components

AI: Not Allowed

Alignment with Learning Outcomes :

IUS Grading System

Grading Scale	IUS Grading System	IUS Coeff.	Letter (B&H)	Numerical (B&H)
0 - 44	F	0	F	5
45 - 54	E	1	F	5
55 - 64	C	2	E	6
65 - 69	C+	2.3	D	7
70 -74	B-	2.7	D	7
75 - 79	B	3	C	8
80 - 84	B+	3.3	C	8
85 - 94	A-	3.7	B	9
95 - 100	A	4	A	10

Late Work Policy

Information about late submission policies will be shared during class and posted in this section. Please check back for official guidelines.

ECTS Credit Calculation

📚 Student Workload

This 6 ECTS credit course corresponds to 150 hours of total student workload, distributed as follows:

Lecture hours

45 hours ⏳ (15 week × 3 h)

Home study

15 hours ⏳ (15 week × 1 h)

Other components

20 hours ⏳ (2 week × 10 h)

Midterm component

20 hours ⏳ (1 week × 20 h)

Final paper

50 hours ⏳ (5 week × 10 h)

150 Total Workload Hours

6 ECTS Credits

Course Policies

Academic Integrity

All work submitted must be your own. Plagiarism, cheating, or any form of academic dishonesty will result in disciplinary action according to university policies. When in doubt about citation practices, consult the instructor.

Attendance Policy

Students are expected to adhere to the attendance requirements as outlined in the International University of Sarajevo Study Rules and Regulations. Excessive absences, whether excused or unexcused, may impact academic performance and eligibility for assessment. Mandatory sessions (e.g., labs, workshops) require attendance unless formally exempted. For detailed policies on absences, documentation, and penalties, please refer to the official university regulations.

Technology & AI Policy

Laptops/tablets may be used for note-taking only during lectures. Phones should be silenced and put away during all class sessions. Audio/video recording requires prior permission from the instructor.

Artificial Intelligence (AI) Usage: The use of AI tools (e.g., ChatGPT, Copilot, Gemini) varies by assessment component. Please refer to the AI usage indicator next to each assessment item in the Assessment Methods and Criteria section above. Submitting AI-generated content as your own work, where AI is not explicitly allowed, constitutes an academic integrity violation.

Communication Policy

All course-related communication should occur through official university channels (institutional email or SIS). Emails should include [BUS611] in the subject line.

Academic Quality Assurance Policy

Course Academic Quality Assurance is achieved through Semester Student Survey. At the end of each academic year, the institution of higher education is obliged to evaluate work of the academic staff, or the success of realization of the curricula.

More info

Learning Tips

Engage Actively

Be prepared to contribute thoughtfully during class discussions, labs, or collaborative work. Active participation deepens understanding and encourages critical thinking.

Read and Review Purposefully

Complete assigned readings or prep materials before class. Take notes, highlight key ideas, and jot down questions. Aim to grasp core concepts and their applications—not just facts.

Think Critically in Assignments

Use course frameworks or methodologies to analyze problems, case studies, or projects. Begin early to allow time for reflection and refinement. Seek feedback to improve your work.

Ask Questions Early

Don’t hesitate to reach out when something is unclear. Use office hours, discussion boards, or peer networks to clarify concepts and stay on track.

Syllabus Last Updated on Mar 03, 2026 | International University of Sarajevo

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Referencing Curricula Print this page

Course Code	Course Title			Weekly Hours*		ECTS		Weekly Class Schedule
				T	P
BUS611	Seminar in Financial Risk Management			3	0	6
Prerequisite	None		It is a prerequisite to	-
Lecturer			Office Hours / Room / Phone	Currently not available
E-mail
Assistant			Assistant E-mail
Course Objectives	The objective of this course is to provide a rigorous examination of financial risk management in a complex and dynamic financial environment. It focuses on advanced risk measurement techniques, financial derivatives, stress testing, regulatory frameworks, and the interplay of systemic risk and market stability. By integrating both theoretical foundations and empirical applications, the course equips students with the necessary analytical tools for high-level financial risk assessment and decision-making.
Textbook	No specific textbook / The list of required readings will be delivered separately.
Additional Literature
Learning Outcomes	After successful completion of the course, the student will be able to:
	Develop a deep understanding of financial risk categories, including market, credit, operational, and liquidity risk. Analyze quantitative models used for risk assessment, such as Value-at-Risk, Expected Shortfall, and Extreme Value Theory. Apply advanced econometric techniques in financial risk modeling. Effectively analyze and communicate complex financial risk concepts, methodologies, and research findings through high-quality reports and presentations tailored to diverse financial and regulatory audiences.
Teaching Methods	The methods include lectures, student presentations, projects, research papers, and class discussions.
Teaching Method Delivery	Face-to-face	Teaching Method Delivery Notes
WEEK	TOPIC						REFERENCE
Week 1	Introduction to Financial Risk Management
Week 2	Market Risk Measurement and Management
Week 3	Credit Risk Modeling
Week 4	Operational Risk
Week 5	Operational and Cybersecurity Risks
Week 6	Liquidity Risk
Week 7	Derivatives and Risk Hedging Strategies
Week 8	Midterm component
Week 9	Stress Testing and Scenario Analysis
Week 10	Systemic Risk and Financial Contagion
Week 11	Advanced Econometrics for Risk Modeling
Week 12	Risk Regulation and Compliance
Week 13	Behavioral Aspects of Risk Management
Week 14	Emerging Risks in Financial Markets
Week 15	Empirical Methodologies in Financial Risk Research

Assessment Methods and Criteria	Evaluation Tool	Quantity	Weight	Alignment with LOs	AI Usage
	Final Paper	1	40		Not Allowed
	Semester Evaluation Components
	Midterm component		30		Not Allowed
	Other components		30		Not Allowed
* ECTS Credit Calculation *

Activity	Hours	Weeks	Student Workload Hours	Activity	Hours	Weeks	Student Workload Hours
Lecture hours	3	15	45	Home study	1	15	15
Other components	10	2	20	Midterm component	20	1	20
Final paper	10	5	50
				Total Workload Hours =			150
*T= Teaching, P= Practice				ECTS Credit =			6
Course Academic Quality Assurance: Semester Student Survey						Last Update Date: 27/03/2026

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BUS611 Seminar in Financial Risk Management

BUS611 Seminar in Financial Risk Management

Department of Economics and Management

TBA

Course Objectives

Learning Outcomes

Course Materials

Required Textbook

Additional Literature

Teaching Methods

The methods include lectures

Student presentations

Projects

Research papers

And class discussions.

Weekly Topics Expand All

Course Schedule (All Sections)

Office Hours & Room

Assessment Methods and Criteria

Assessment Components

Final Paper

Midterm component

Other components

IUS Grading System

Late Work Policy

ECTS Credit Calculation

📚 Student Workload

Lecture hours

Home study

Other components

Midterm component

Final paper

Course Policies

Academic Integrity

Attendance Policy

Technology & AI Policy

Communication Policy

Academic Quality Assurance Policy

Learning Tips

Weekly Topics