COURSE UNIT TITLE

: EFFICIENCY IN FINANCE INDUSTRY

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IKT 5097 EFFICIENCY IN FINANCE INDUSTRY ELECTIVE 3 0 0 6

Offered By

Economics

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ÜZEYIR AYDIN

Offered to

Economics

Course Objective

To explain the conditions of sustainable competition oriented to the efficient use ofresources in the banking sector within the scope of the financial industry; to gain the ability to develop strategies with measurement methods of industry's capital and management efficiency and productivity (non-parametric approaches) to decision-making units of the company and industry.

Learning Outcomes of the Course Unit

1   To be able to analyze the financing models of finance industry to real industries within the framework of micro-economic theory
2   To be able to explain the importance of Banking industry and its place in the financial industry with the micro-economic fundamentals
3   To be able to learn the techniques of risk and decision-making under uncertainty
4   To be able to learn the financial industry-based Crisis models and approaches of financial liberalization
5   To be able to learn the basic elements of an effective resource utilization in the financial industry
6   To be able to analyze with Non-Parametric Approaches (Data Envelopment Analysis-DEA) and evaluate the stability compatible to the markets, sustainability and efficiency oriented to the process of competition in the context of interaction
7   To be develop strategies to improve the efficiency and competitiveness of the banking industry

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The conceptual framework for the financial industry
2 Development of the financial industry, The place and importance of financial markets and financial institutions in the economy
3 The functional structure of the financial industry and its functioning
4 The tools of the financial industry and the financing models for the funding of investments
5 Financial liberalization and international financial integration
6 The risks of the international financial integration and the models of the financial crisis, the provision of financial prices
7 The importance of efficient use of resources in the financial industry and the competitiveness brings to the national competition
8 Organisational structure of the banking industry as a financial institution
9 Functioning, efficiency and competitiveness of the banking industry as a financial institution (Midterm Exam will be held in this week out of course hour)
10 Discussions and practical method to measure the financial industry events and some selected samples from the literature
11 Banking industry efficiency measurement methods: Data envelopment analysis (DEA)
12 Banking industry productivity measurement methods: Malmquist total factor productivity
13 Data envelopment analysis (DEA) and Malmquist total factor productivity applications for the banking industry
14 Discussions of strategy development depending on the studies during the semester

Recomended or Required Reading

Mishkin S. Frederic, The Economics of Money, Banking, and Financial Markets,8th ed. P. Cm., The Addison Pearson Wesley Series in Economics.
Allen Steven, Financial Risk Management, John Wiley & Sons Inc., USA, 2003.
Arshadi Nesser, Karels Gordon V., Modern Financial Intermediaries and Markets, New- Jersey, Prentice Hall Inc., 1997.
Bakırcı Fehim, Üretimde Etkinlik ve Verimlilik Ölçümü-Veri Zarflama Analizi, Atlas Yayınları, Ankara, Mayıs 2006
Blake David, Financial Market Analysis, International Edition, Finance Series, London, Mc Graw Hill Inc., 1992.
Coelli Tim, "A Guide to DEAP version 2.1: A Data Envelopment Analysis (Computer) Program", CEPA Working Paper 96/08, 1996.
Eakins Stanley G., Mishkin Frederic S., Financial Markets and Intitutions, Second Edition, Massachusetts, Longman Inc.,1998.
Kök Recep, Deliktaş Ertuğrul, Endüstri Iktisadında Verimlilik Ölçme Ve Strateji Geliştirme Teknikleri (Iş Dünyasından Örneklerle), DEÜ IIBF Yayınları Izmir, 2003.

Planned Learning Activities and Teaching Methods

The estimation methods are used to test the knowledge and the findings with the reference textbooks and applied literature. The methods, which analyze the computer based application results, are used.

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 * 0.25 + STT * 0.25 + FIN* 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE* 0.25 + STT * 0.25 + RST* 0.50


*** 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)

uzeyir.aydin@deu.edu.tr
3010621

Office Hours

Thursday 13:00 - 15:00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 13 2 26
Preparation for midterm exam 1 15 15
Preparation for final exam 1 25 25
Preparing assignments 2 15 30
Midterm 1 3 3
Final 1 4 4
TOTAL WORKLOAD (hours) 145

Contribution of Learning Outcomes to Programme Outcomes

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LO.2555555555
LO.3555555555
LO.4555555555
LO.5555555555
LO.6555555555
LO.7555555555

CONTACT INFORMATION
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Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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