FACULTY OF ARTS AND SCIENCES

Department of Mathematics

RM 401 | Course Introduction and Application Information

Course Name
Fundamentals of Risk Management
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
RM 401
Fall/Spring
3
0
3
4

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator -
Course Lecturer(s) -
Assistant(s) -
Course Objectives Main objective of the course is to define the main terms used for the financial risks such as market, credit, operational risks and enable students to review the methodologies and assumptions connected to these risks. Students are also expected to enable to analyze and manage these risks during their business life.
Learning Outcomes The students who succeeded in this course;
  • At the end of this course students are expected to have a background on distinguishing, classifying, identifying, measuring and managing financial risks.
  • During the course students are also expected appreciate to hedge the risks that financial institutions face, and will learn how to minimize these risks.
  • During the course students are also expected appreciate to hedge the risks that financial institutions face, and will learn how to minimize these risks.
Course Description Topics covered are: identification, classification, measurement and management of different types of financial risks.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
X
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to risk Lecturer’s Own Notes
2 Introduction to Financial Risk ManagementI Lecturer’s Own Notes
3 Relationship between risk and return Lecturer’s Own Notes
4 Probability Jorion, Ch.02
5 Risk management tools: forwards, futures Jorion, Ch.05, Ch.08
6 Risk management tools: options, swaps Jorion, Ch.05, Ch.06, Ch.08
7 Movie
8 Mid-term
9 Types of risk: Market risk and market risk management Jorion, Ch.10, Ch.11
10 Types of risk: Credit risk and credit risk management Jorion, Ch.18, Ch.22, Ch.23
11 Types of risk: Operational risk and operational risk management Jorion, Ch.24, Ch.27
12 Risk measurement: stdev, beta, VaR Jorion, Ch.03, Ch.14, Ch.15
13 Portfolio management Jorion, Ch.16
14 Presentations
15 Presentations
16 Review

 

Course Notes/Textbooks Book Chapters
Suggested Readings/Materials Diğer Kaynaklar/ Other Sources : BOOKS

The Essentials of Risk Management, M. Crouhy, D. Galai, R. Mark, (CGM) 2006

Elements of Financial Risk Management, Peter F. Christoffersen,2003

Risk Management in Banking, Joel Bessis, Wiley, 2010

Risk Management and Capital Adequacy, Reto Gallati, McGrawHill, 2003

Implementing ValueatRisk, Philip Best, Wiley, 1998

Journals & Magazines

Risk Magazine (http://www.risk.net/ , paid subscription required, abstracts available for free)

Global Risk Regulator (http://www.globalriskregulator.com , paid subscription required, abstracts and some articles are available for free)

The Journal of Risk (http://www.thejournalofrisk.com/)

Daily Journals

Financial Times

Wall Street Journal

WebSites (sign up required)

GARP (http://www.garp.org/)

PRMIA (http://www.prmia.org/)

Riskmetrics (http://www.riskmetrics.com/)

Bank for International Settlements (http://www.bis.org)

Risk Management WebSites

http://www.riskworld.com/websites/webfiles/ws5aa015.htm

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
10
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
1
45
Project
Seminar / Workshop
Oral Exams
Midterm
1
20
Final Exam
1
25
Total

Weighting of Semester Activities on the Final Grade
75
Weighting of End-of-Semester Activities on the Final Grade
25
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
16
1
16
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
10
1
10
Presentation / Jury
1
6
6
Project
1
10
10
Seminar / Workshop
0
Oral Exam
0
Midterms
1
10
10
Final Exam
1
14
14
    Total
114

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics.

2

To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics.

3

To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials.

4

To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning.

5

To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals.

6

To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project.

7

To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.

8

To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field.

X
9

To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security.

X
10

To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking.

X
11

To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language.

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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