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Program Type: 
Thesis
Course Code: 
FE 610
P: 
3
Lab: 
0
Credits: 
3
ECTS: 
10
Course Language: 
English
Course Objectives: 

The math of finance isn't easy, but market practices are based on a softer understanding of what actually happens. In other words, there is a lot of software in the market that is necessary to perform many mathematical operations, but in order to use them effectively, it is necessary to have a good command of the infrastructure, that is, the mathematical foundations of the operations performed by the software. Practitioners may think that simply using off-the-shelf software to price existing contracts is often sufficient, but it is often necessary to have these foundations for innovative new products. From an academic point of view, the problem of answering the wrong questions frequently encountered today actually stems from the lack of mathematical foundations. For these purposes, this course is designed to make up for the deficiencies.

Course Content: 

The course week is as follows: Prospect and arbitrage pricing, Entry - Prospect and Arbitrage Pricing, Discrete Processes, Continuous Processes, Pricing in the Foreign Exchange Market, Stock and Dividend Pricing, Bonds Pricing, Interest Rates, Single-factor HJM, Short-rate Models, Multi-factor Models, General Stock Model, Log-normal Models, Multiple Stock Models.

Teaching Methods: 
1: Lecture, 2: Question-Answer, 3: Discussion, 4: Simulation, 5: Case Study
Assessment Methods: 
A: Testing, B: Experiment, C: Homework, Q: Quiz

Vertical Tabs

Course Learning Outcomes

Learning Outcomes Programme Learning Outcomes Teaching Methods Assessment Methods
Understanding the mathematical foundations of expectations and arbitrage pricing 1,2,3,5 1,2,3 A, C
Understanding of discrete and continuous processes 1,2,3,5 1,2,3 A, C
Comprehending the mathematical foundations of interest rates 1, 5 1,2,3 A, C
Understanding single-factor and multi-factor models 1, 5 1,2,3 A, C

Course Flow

COURSE CONTENT
Week Topics Study Materials
1 Introduction - Anticipation and Arbitrage Pricing Chapter 1
2 Discrete Processes Chapter 2
3 Continuous Processes Chapter 3
4 Pricing in the Foreign Exchange Market Chapter 4
5 Stock and Dividend Pricing Chapter 5
6 Pricing of Bonds Chapter 6
7 Midterm Exam  
8 Interest Rates Chapter 7
9 One-factor HJM Chapter 8
10 Short-rate Models Chapter 9
11 Multi-factor Models Chapter 10
12 General Stock Models Chapter 11
13 Log-normal Models Chapter 12
14 Multiple Stock Models  
15 Final Exam All Content

Recommended Sources

RECOMMENDED SOURCES
Textbook -Financial calculus An introduction to derivative pricing, Martin Baxter, Andrew Rennie, 2012, Cambridge University Press
Additional Resources Course Notes Course website, lecture notes, financial markets laboratory, financial calculator, online resources, excel type software.

Material Sharing

MATERIAL SHARING
Documents Guidelines and additional examples for Lecture Topics and Homework Assignments
Assignments Homework assignments
 
Exams Midterm Exam and Final Exam

Assessment

ASSESSMENT
IN-TERM STUDIES NUMBER PERCENTAGE
Mid-Term 1 20
Class Performance 6 20
Final Exam 1 60
  Total 100
CONTRIBUTION OF FINAL EXAMINATION TO OVERALL
GRADE
  60
CONTRIBUTION OF IN-TERM STUDIES TO OVERALL
GRADE
  40
  Total 100
 
COURSE CATEGORY Expertise/Field Courses

Course’s Contribution to Program

COURSE'S CONTRIBUTION TO PROGRAMME
No Program Learning Outcomes Contribution
1 2 3 4 5
1 To comprehend the basic principles of finance and to be able to apply these principles in national and international areas.          X
2 To use modern information technologies and current financial tools effectively.        X  
3 To comprehend the ethical rules and social responsibility understanding accepted by financial professional organizations and to apply them in the decisions to be taken.    X      
4 To have the infrastructure that will enable them to do business in multicultural, multilingual and interdisciplinary environments.      X    
5 To have information about the markets and the functioning of the markets and to analyze the developments in these markets.     X X  
6 To recognize the management tools and models specific to multinational companies and to be able to apply them where necessary.          
7  To understand the structure of the global economic system and to analyze how new developments will affect this structure.   X      
8 To be able to use the ability of critical thinking in the decision making process.    X      
9 To transfer the acquired leadership, teamwork and communication skills to the lifelong learning process.           
10 To be able to manage the process with analytical and creative approaches by anticipating the opportunities and problems that dynamic working conditions may create.           

ECTS

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
Activities Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Including the exam week: 15x Total
course hours/week)
16 3 48
Hours for off-the-classroom study (Pre-study, practice,
review/week)
16 4 96
Homework 5+1(Proje) 60 60
Mid-term  1 10 20
Final 1 15 30
Total Work Load     254
Total Work Load / 25 (h)     10.16
ECTS Credit of the Course     10