COURSE INFORMATION
Course Title: FINANCIAL ANALYSIS
Code Course Type Regular Semester Theory Practice Lab Credits ECTS
BAF 415 B 1 3 0 0 3 7.5
Lecturer and Office Hours: Erindi Allaj Friday: 17:00 - 18:00 PM
Second Lecturer(s): NA
Teaching Assistant(s) and Office Hours: NA
Language: English
Compulsory/Elective: Elective
Classroom and Meeting Time: Computer Lab I; 18:00 - 20:45 PM
Course Description: Financial Analysis course provides comprehensive information on financial analysis in areas of planning and control. This course qualitatively and quantitatively defines, reviews, and illustrates the principles of corporate finance, including: profit/loss, asset and cash management, operational budgets, cost analysis, profitability, leverage, and decision and risk. It presents various industry approaches, cases, means and methods used to meet long-term and short-term corporate goals.
Course Objectives: This course aims to give students the necessary tools for solving complicated and concrete financial problems. Thanks to this course students will acquire the fundamental Microsoft Excel skills crucial to professional success. These skills include choosing between alternative investments, selecting the optimal portfolio, measuring risk, price forecasting and option valuation.
COURSE OUTLINE
Week Topics
1 Course Introduction; Introduction to Excel; Time value of Money
2 Understanding Internal Rate of Return (IRR)
3 Introduction to Capital Budgeting
4 Problems in Capital Budgeting; Gordon model; Weighted Average Cost of Capital (WACC)
5 Free Cash Flow Valuation; Introduction to Risk
6 Statistics for Portfolios
7 Regression in Finance
8 Midterm Review
9 Midterm
10 Portfolio Returns and the Efficient Frontier
11 Capital Market Line and Security Market Line
12 Introduction to Options
13 Option Pricing Facts
14 Final Exam Review
Prerequisite(s):
Textbook: Principles of Finance with Microsoft Excel, 2nd Edition, Simon Benninga, 2011, Oxford University Press
Other References: Financial Modeling, 3rd Edition, Simon Benninga, 2008, Massachusetts Institute of Technology
Laboratory Work: Yes
Computer Usage: Excel
Others: No
COURSE LEARNING OUTCOMES
1 Learning a wide variety of real financial problems
2 Analyzing financial problems
3 Making sound financial decisions
4 Working knowledge of Microsoft Excel
COURSE CONTRIBUTION TO... PROGRAM COMPETENCIES
(Blank : no contribution, 1: least contribution ... 5: highest contribution)
No Program Competencies Cont.
MSc BAF Program
1 The students are gained the ability to look at the problems of daily life from a broader perspective. They gain the needed skills not only to understand economic problems in banking and finance but also to construct a model and defend in meaningful way.
2 They have knowledge about the finance and banking. 4
3 They have knowledge about the money and banking. 4
4 They have knowledge about the international finance and banking.
5 They have ability to use mathematical and statistical methods in banking and finance. 4
6 They know how to use computer programs in both daily office usage and statistical data evaluations in banking and finance department. 5
7 They have necessary banking and finance skills that needed in private and public sector. 4
8 They are intended to be specialist in one of departmental fields that they choose from the list of general economics, finance economics, public finance, corporate finance, finance management, international finance markets and institutions, banking and central banking, international finance and banking, money and banking, international trade and banking.
9 They have ability to utilize fundamental economic theories and tools to solve economic problems in banking and finance.
10 They are aware of the fact that banking and finance is a social science and they respect the social perspectives and social values of the society’s ethics.
COURSE EVALUATION METHOD
Method Quantity Percentage
Midterm Exam(s)
1
40
Final Exam
1
50
Attendance
10
Total Percent: 100%
ECTS (ALLOCATED BASED ON STUDENT WORKLOAD)
Activities Quantity Duration(Hours) Total Workload(Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 41.5 41.5
Assignments 0
Final examination 1 50 50
Other 0
Total Work Load:
187.5
Total Work Load/25(h):
7.5
ECTS Credit of the Course:
7.5