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İzmir Ekonomi Üniversitesi

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    GRADUATE SCHOOL

    Financial Economics (Without Thesis)

    ECON 515 | Course Introduction and Application Information

    Course Name
    Quantitative Methods in Economics and Finance
    Code
    Semester
    Theory
    (hour/week)
    Application/Lab
    (hour/week)
    Local Credits
    ECTS
    ECON 515
    Fall/Spring
    3
    0
    3
    7.5

    Prerequisites
    None
    Course Language
    English
    Course Type
    Elective
    Course Level
    Second Cycle
    Mode of Delivery -
    Teaching Methods and Techniques of the Course -
    National Occupation Classification -
    Course Coordinator -
    Course Lecturer(s) -
    Assistant(s) -
    Course Objectives The aim of this course is to develop spreadsheet applications of models in economics and finance that are flexible enough to be modified in the future.
    Learning Outcomes

    The students who succeeded in this course;

    • will be able to use statistical and financial functions in Excel.
    • will be able to develop spreadsheets of economic and financial models.
    • will be able to calculate the value of the firm based on cash flow projections.
    • will be able to perform econometric analysis of the simple regression model.
    • will be able to estimate the CAPM.
    • will be able to calculate bond duration in Excel.
    • will be able to calculate payment schedules for fixed-rate, flexible rate, constant payment and adjusted rate mortgages.
    • will be able to construct a spreadsheet to analyze portfolio return and risk.
    Course Description The course develops economic and financial models using EXCEL.The most widely used financial calculations will be performed in a spreadsheet format using simulated and real world data. Econometric analysis will be undertaken using the regression tool pack in EXCEL. At the end of the course, you will have several financial models in a spreadsheet format that you can modify for future use. Topics covered include NPV, IRR, Bond pricing, duration, option pricing, BlackSholes and binomial option pricing models, value at risk, value of the firm, portfolio risk.
    Related Sustainable Development Goals

     



    Course Category

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

     

    WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

    Week Subjects Related Preparation
    1 Introduction
    2 Basic Financial Calculations (PV, NPV, IRR)
    3 Econometric Models CAPM
    4 Loans, Mortgages
    5 Mortgages cont’d
    6 Bonds and Duration
    7 Midterm
    8 Value of the Firm
    9 Value of the Firm cont’d
    10 Modeling Portfolios
    11 Modeling Portfolios cont’d
    12 Modeling Portfolios and VaR
    13 Option Pricing
    14 Binomial Option Pricing
    15 Binomial Option Pricing cont’d
    16 Binomial Option Pricing cont’d

     

    Course Notes/Textbooks Simon Beninga, Financial Modelling
    Suggested Readings/Materials

     

    EVALUATION SYSTEM

    Semester Activities Number Weigthing
    Participation
    16
    10
    Laboratory / Application
    Field Work
    Quizzes / Studio Critiques
    Portfolio
    Homework / Assignments
    5
    25
    Presentation / Jury
    Project
    Seminar / Workshop
    Oral Exams
    Midterm
    1
    25
    Final Exam
    1
    40
    Total

    Weighting of Semester Activities on the Final Grade
    60
    Weighting of End-of-Semester Activities on the Final Grade
    40
    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
    3
    48
    Field Work
    0
    Quizzes / Studio Critiques
    0
    Portfolio
    0
    Homework / Assignments
    5
    13
    65
    Presentation / Jury
    0
    Project
    0
    Seminar / Workshop
    0
    Oral Exam
    0
    Midterms
    1
    24
    24
    Final Exam
    1
    40
    40
        Total
    225

     

    COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

    To improve and deepen expertise in economics and finance.
    -
    -
    -
    -
    X
    2

    To be able to comprehend the interaction between economics, finance and related fields.
    -
    -
    -
    -
    -
    3

    To be able to apply the advanced level knowledge acquired in economics and finance.
    -
    -
    -
    -
    X
    4

    To be able to create new knowledge by combining the knowledge of finance and economics with the knowledge coming from other disciplines and be able to solve problems which requires expert knowledge by applying scientific methods.
    -
    -
    -
    -
    -
    5

    To be able to use computer programs needed in the fields of economics and finance as well as information and communication technologies in advanced levels.
    -
    -
    -
    -
    -
    6

    To be able to think analytically to identify problems in finance and economics and to be able to make policy recommendations in economics and finance based on scientific analysis of issues and problems.
    -
    -
    -
    -
    X
    7

    To be able to develop new strategic approaches for unexpected, complicated situations in finance and economics and take responsibility in solving it.
    -
    -
    -
    X
    -
    8

    To protect the social, scientific and ethical values at the data collection, interpretation and dissemination stages and to be able to institute and observe these values.
    -
    -
    -
    -
    -
    9

    To be able to critically evaluate the knowledge in finance and economics, to lead learning and carry out advanced level research independently.
    -
    -
    -
    -
    -
    10

    To be able to use a foreign language for both following scientific progress and for written and oral communication.
    -
    -
    -
    -
    -

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

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