ECTS - Introduction to Mathematical Finance
Introduction to Mathematical Finance (MATH313) Course Detail
| Course Name | Course Code | Season | Lecture Hours | Application Hours | Lab Hours | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| Introduction to Mathematical Finance | MATH313 | 3 | 0 | 0 | 3 | 6 |
| Pre-requisite Course(s) |
|---|
| Math 136 |
| Course Language | English |
|---|---|
| Course Type | N/A |
| Course Level | Bachelor’s Degree (First Cycle) |
| Mode of Delivery | Face To Face |
| Learning and Teaching Strategies | Lecture, Question and Answer, Problem Solving. |
| Course Lecturer(s) |
|
| Course Objectives | The main aim of this course is to provide students with a solid grounding in compound interest theory and experience of its application to the analysis of complex financial transactions. The compound interest model is developed in detail, and is applied to mortgage and commercial loans, to consumer credit transactions, to the valuation of securities, and to the measurement of investment performance. The term structure of interest rates is also covered. Uncertainty about future interest rates is modeled by assuming that future interest rates are random variables. |
| Course Learning Outcomes |
The students who succeeded in this course;
|
| Course Content | Introduction to theory of interest: simple and compound interest, time value of money, rate of interest, rate of discount, nominal rates, effective rates, compound interest functions, generalized cash flow modelling, loans, present value analysis, accumulated profit, and internal rate of return for investment projects, annuities, perpetuities, meas |
Weekly Subjects and Releated Preparation Studies
| Week | Subjects | Preparation |
|---|---|---|
| 1 | Introduction to theory of interest: Simple and compound interest | Book1-pp. 1-7 |
| 2 | Time value of money, Nominal rates, effective rates, rate of discount | 1.Kitap -s. 10-13 |
| 3 | Force of interest | Book 1-pp. 14-17 |
| 4 | Cash flows and Present value analysis | Book 1-pp. 18-25 |
| 5 | The equation of value, yields, annuities | Book 1-pp. 36-54 |
| 6 | Loan Schedules | Book 1-pp. 55-61 |
| 7 | Annuities payable pthly | Book 1-pp. 66-72 |
| 8 | Net present values and yields | Book 1-pp. 86-93 |
| 9 | The comparison investment projects , bonds | Book 1-pp. 107-114 Other Source: 223-236 |
| 10 | Probability | Book 2-pp. 1-31 |
| 11 | Geometric Brownian motion | Book 2-pp. 32-37 |
| 12 | Stochastic interest rates | Book 1-pp. 269-286 |
| 13 | Arbitrage and forward contracts | Book 2-pp.63-70 |
| 14 | The term structure of interest rates | Other source: 301-320 |
| 15 | Problem solving and review | |
| 16 | Final Exam |
Sources
| Course Book | 1. An Introduction to Mathematics of Finance, J. J. McCutcheon and W. Scott, 1986. |
|---|---|
| 2. An elementary introduction to mathematical finance, Options and other topics, Sheldon M. Ross, Cambridge University Press, 2003. | |
| Other Sources | 3. Mathematics of Investment and Credit, Samuel A. Broverman, ACTEX, 2010. |
Evaluation System
| Requirements | Number | Percentage of Grade |
|---|---|---|
| Attendance/Participation | - | - |
| Laboratory | - | - |
| Application | - | - |
| Field Work | - | - |
| Special Course Internship | - | - |
| Quizzes/Studio Critics | - | - |
| Homework Assignments | 3 | 7 |
| Presentation | - | - |
| Project | - | - |
| Report | - | - |
| Seminar | - | - |
| Midterms Exams/Midterms Jury | 2 | 50 |
| Final Exam/Final Jury | 1 | 35 |
| Toplam | 6 | 92 |
| Percentage of Semester Work | 65 |
|---|---|
| Percentage of Final Work | 35 |
| Total | 100 |
Course Category
| Core Courses | |
|---|---|
| Major Area Courses | X |
| Supportive Courses | |
| Media and Managment Skills Courses | |
| Transferable Skill Courses |
The Relation Between Course Learning Competencies and Program Qualifications
| # | Program Qualifications / Competencies | Level of Contribution | ||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 1 | Has the ability to apply scientific knowledge gained in the undergraduate education and to expand and extend knowledge in the same or in a different area | X | ||||
| 2 | Can apply gained knowledge and problem solving abilities in inter-disciplinary research | X | ||||
| 3 | Has the ability to work independently within research area, to state the problem, to develop solution techniques, to solve the problem, to evaluate the obtained results and to apply them when necessary | X | ||||
| 4 | Takes responsibility individually and as a team member to improve systematic approaches to produce solutions in unexpected complicated situations related to the area of study | X | ||||
| 5 | Can develop strategies, implement plans and principles on the area of study and can evaluate obtained results within the framework | X | ||||
| 6 | Can develop and extend the knowledge in the area and to use them with scientific, social and ethical responsibility | X | ||||
| 7 | Has the ability to follow recent developments within the area of research, to support research with scientific arguments and data, to communicate the information on the area of expertise in a systematically by means of written report and oral/visual presentation | X | ||||
| 8 | To have an oral and written communication ability in at least one of the common foreign languages ("European Language Portfolio Global Scale", Level B2) | X | ||||
| 9 | Has software and hardware knowledge in the area of expertise, and has proficient information and communication technology knowledge | X | ||||
| 10 | Follows scientific, cultural, and ethical criteria in collecting, interpreting and announcing data in the research area and has the ability to teach. | X | ||||
| 11 | Has professional ethical consciousness and responsibility which takes into account the universal and social dimensions in the process of data collection, interpretation, implementation and declaration of results in mathematics and its applications. | X | ||||
ECTS/Workload Table
| Activities | Number | Duration (Hours) | Total Workload |
|---|---|---|---|
| Course Hours (Including Exam Week: 16 x Total Hours) | 16 | 3 | 48 |
| Laboratory | |||
| Application | |||
| Special Course Internship | |||
| Field Work | |||
| Study Hours Out of Class | 14 | 3 | 42 |
| Presentation/Seminar Prepration | |||
| Project | |||
| Report | |||
| Homework Assignments | 5 | 6 | 30 |
| Quizzes/Studio Critics | |||
| Prepration of Midterm Exams/Midterm Jury | 2 | 10 | 20 |
| Prepration of Final Exams/Final Jury | 1 | 10 | 10 |
| Total Workload | 150 | ||