COURSE UNIT TITLE

: FINANCIAL ANALYSIS AND MODELLING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
FIB 5020 FINANCIAL ANALYSIS AND MODELLING ELECTIVE 3 0 0 5

Offered By

Financial Economics and Banking

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

Offered to

Financial Economics and Banking

Course Objective

The aim of the course is of explain credit facility for risk, financial management, financial decision-making issues and teach modelling techniques in these issues computer environment.

Learning Outcomes of the Course Unit

1   To be able to gain background for working at banks, financial institutions, businesses and regulatory public institutions, and with having this theoretical and technical base will be able to solve the job-oriented questions easily.
2   To be able to apply required techniques for management of financial units.
3   To be able to measure and analyse the process of credit facility for risk at banking.
4   To be able to learn the techniques of financial analysis and modelling at computer environment.
5   To be able to build a model to solve financial problems, analyse the reasons of finanacial success/failure and generate strategies at financial issues.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Financial Statement Analysis: (Basic and Additional Disclosure of Financial Statements)
2 Related to the Financial Statements to be prepared for the analysis Transmission and Purification Operations and Financial Statement Makeup
3 Classical Analysis Techniques (Vertical Analysis, Trend Percentages, Comparative Analysis, Ratio Analysis, Profit Planning Analysis, Change in Net Operating Capital and Funds Flow Analysis)
4 Scenario Analysis, New Analysis Techniques (Cash Flow Approach Measurement of Achievement the Financial Operating s, Chesser, Altman and Bathory Early Warning Models, FCV, FC)
5 Within the scope of Basel II Risk Management and Financial Rating Techniques
6 @ Risk Applications, Financial Forecasting, and What-If Analysis
7 Financial Activity Monitoring: Budgeting and Diversion Analysis (1)
8 Financial Activity Monitoring: Budgeting and Diversion Analysis (2) (Midterm exam will also be held this week after course hour)
9 Business Capital s Management and Analysis (Cash, Receivables, Inventory and Short-Term Foreign Resource Management)
10 Financial Decision Making: Financial Mathematics and the Time Value of Money
11 Excel Functions for Financial Modelling and presentation of extensions
12 Analysis of Investment Decisions and Capital Budgeting Techniques with Excel
13 Leasing and Modelling
14 Capital Cost, Capital Structure Decisions and Financial Optimization Solver Extension Analysis

Recomended or Required Reading

1) Nalan AKDOĞAN ve Nejat TENKER, Finansal Tablolar ve Mali Analiz Teknikleri, (11. Baskı), Ankara 2007.
2) Burhanettin TANDOĞAN, Risk Analizi Tekniklerine Yönelik Finansal Tablolar Analizi ve Finansman Yöntemlerinin Değerlendirilmesi, Ankara 2002.
3) Hakan ŞAKAR, Bankalarda Kredilendirme Teknikleri, Istanbul 2002.
4) Öztin AKGÜÇ, Finansal Yönetim, (7.Baskı), Istanbul 1998.
5) Şenol BABUŞÇU, Basel II Düzenlemeleri Çerçevesinde Bankalarda Risk Yönetimi, Ankara 2000.
6) Hasan CANDAN ve Alper ÖZÜN, Bankalarda Risk Yönetimi ve Basel II, Istanbul 2006.
7) Ebubekir AYAN, Bankacılıkta Risklerin Yönetiminde Basel II Uzlaşısı, Istanbul 2002.
8) Osman OKKA, Mühendislik Ekonomisine Giriş I, II, Çözümlü Problemleri, Ankara 2006.
9) Simon BENNINGA, Financial Modeling, (Second Edition), London 2000
10) Chandan SENGUPTA, Financial Modeling Using Excel and VBA, New Jersey 2004.
11) Tom Y. SAWYER, Pro Excel Financial Modeling: Building Models For Technology Startups, New York 2009.

Planned Learning Activities and Teaching Methods

Course is explained by the instructor, mathematical models at computer environment.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 FCG FINAL COURSE GRADE
3 FCGR FINAL COURSE GRADE MTE * 0.40 + FCG* 0.60
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.40 + RST* 0.60


*** 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)

ilkin.baray@deu.edu.tr

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparation for midterm exam 1 20 20
Preparation for final exam 1 25 25
Reading 1 15 15
Preparations before/after weekly lectures 14 2 28
Midterm 1 3 3
Final 1 3 3
TOTAL WORKLOAD (hours) 136

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9
LO.155
LO.2555555
LO.3555555555
LO.455
LO.555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

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