EKO681 - THEORIES of FINANCE

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
THEORIES of FINANCE EKO681 1st Semester 3 0 3 7
Prequisites-
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Drill and Practice
 
Instructor (s) 
Course objectiveThe objective of this course is to introduce the fundamental theories in finance.  
Learning outcomes
  1. At the end of this course the student will be able to follow the recent theoretical and empirical literature on financial economics; understand the interaction between monetary policy and financial markets; interpret recent evidence.
Course ContentPurchasing Power Parity,
Interest Rate Theories,
Asset Markets,
Capital Asset Pricing Model,
Term Structure of Interest Rate,
Derivatives
 
ReferencesEichberger, J. ve I.R. Harper (1997), Financial Economics, Oxford University Press, New York.  

Course outline weekly

WeeksTopics
Week 1Introduction to Finance, Financial decisions. Approaches to valuation of financial and real assets. Roles of inancial markets
Week 2Present value. Mechanics of PV calculations. Theories of determination of interest rates - Keynesian and monetarist, interest rates and inflations rates
Week 3Term structure of interest rates. Yield curve. Interest rate risk. Inflation risk. Credit risk
Week 4Common Stocks, Dividend Discount Model (DDM)
Week 5Capital Investments, Capital budgeting. Cash-flow calculations. Project Interaction
Week 6Introduction to Return and Risk: Measuring risk. Random walks
Week 7Diversification. Systematic risk and non-systematic risk. Portfolio theory. Efficient risk-return trade-off
Week 8Midterm Exam
Week 9Capital Asset Pricing Model (CAPM). Measuring betas. Applications of CAPM. Empirical evidence on CAPM
Week 10Efficient Market Hypothesis (EMH)
Week 11Tests of EMH. Implications of EMH
Week 12Basic idea of derivatives: Forwards and Futures, Forward and futures prices. Hedging with forwards and futures
Week 13Options and Their Applications: Options and their properties. Valuation of options: Binomial method and Black - Scholes model
Week 14Foreign Exchange Market, Exchange Rates in the Long Run: Law of One Price, Theory of Purchasing Power Parity
Week 15Exchange Rates in the Short Run: Interest Parity Condition, Explaining Changes in Exchange Rates
Week 16Final Exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments00
Presentation120
Project00
Seminar00
Midterms130
Final exam150
Total100
Percentage of semester activities contributing grade succes250
Percentage of final exam contributing grade succes150
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14798
Presentation / Seminar Preparation12020
Project000
Homework assignment000
Midterms (Study duration)12020
Final Exam (Study duration) 13030
Total Workload3180210

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. To have the knowledge of the graduate level microeconomic and macroeconomic theory.    X
2. To have the knowledge of the graduate-level econometrics and mathematical techniques.    X
3. To conceive the relationship between economics and other fields of science.    X
4. To understand basic econometric techniques and be able to undertake empirical analysis using appropriate econometric tools.    X
5. To be able to analyze complex economic issues and to develop solutions to economic problems.    X
6. To complete an acceptable dissertation that advances the state of knowledge in the field of economics.    X
7. To be able to write research papers and effectively communicate their results both in writing and orally.    X
8. To be able to use the skills of modelling and empirical analysis for formulating policy options.    X
9. To demonstrate leadership in problem solving.    X
10. To adhere ethical behavior during data gathering, implementation and article writing processes.    X
11. be able to use information and communication technologies.    X
12. To have social responsibility and conciousness about the needs of the society and to develop projects in these areas.    X

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