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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS IŞL 6036 BEHAVIORAL FINANCE ELECTIVE 3 0 0 6

Offered By

Business Administration

Level of Course Unit

Third Cycle Programmes (Doctorate Degree)

Course Coordinator

PROFESSOR GÖKTUĞ CENK AKKAYA

Offered to

Business Administration

Course Objective

To analyze the behavior of investors in financial markets.

Learning Outcomes of the Course Unit

1   To be able to classify the investors' patterns of behavior 2   To be able to summarize the mental mistakes investors 3   To be able to classify the market activities 4   To be able to summarize the theory of expectation 5   To be able to summarize financial decision-making process

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction and Course Description 2 Financial Decision-Making Process 3 Price Booms 4 Asset trading under expectations theory 5 Concept of market efficiency 6 Insider dealing 7 Manipulation 8 Investor behavior and stock exchanges 9 Mental and intuitive errors of investors 10 Profit share distribution and effect of signal Theory 11 Arbitrage limitations 12 Irrational investor behavior 13 Rational capital budgeting in an irrational world 14 Conclusion and Evaluation

Recomended or Required Reading

Behavioral Finance-William Forbes

Planned Learning Activities and Teaching Methods

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 STT TERM WORK (SEMESTER) 3 FIN FINAL EXAM 4 FCG FINAL COURSE GRADE MTE * 0.20 + STT* 0.40 + FIN* 0.40 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.20 + STT * 0.40 + RST* 0.40 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

cenk.akkaya@deu.edu.tr

Office Hours

Monday 16:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparing assignments 1 20 20 Preparations before/after weekly lectures 14 3 42 Preparation for midterm exam 1 17 17 Preparation for final exam 1 25 25 Midterm 1 2 2 Final 1 2 2 TOTAL WORKLOAD (hours) 150

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 LO.1 1 LO.2 1 LO.3 1 LO.4 1 LO.5 1