EPOKA UNIVERSITY
FACULTY OF ECONOMICS AND ADMINISTRATIVE SCIENCES
DEPARTMENT OF BANKING AND FINANCE
COURSE SYLLABUS
COURSE INFORMATIONCourse Title: FINANCIAL ANALYSIS |
Code | Course Type | Regular Semester | Theory | Practice | Lab | Credits | ECTS |
---|---|---|---|---|---|---|---|
BAF 415 | B | 1 | 3 | 0 | 0 | 3 | 7.5 |
Academic staff member responsible for the design of the course syllabus (name, surname, academic title/scientific degree, email address and signature) | NA |
Lecturer (name, surname, academic title/scientific degree, email address and signature) and Office Hours: | Erindi Allaj , Friday: 17:00 - 18:00 PM |
Second Lecturer(s) (name, surname, academic title/scientific degree, email address and signature) and Office Hours: | 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. |
Master of Science in Economics Program | ||
1 | Students apply advanced knowledge in economics | 4 |
2 | Students explain the interaction between related disciplines and economics | |
3 | Students apply scientific methods to address economic problems | |
4 | Students define existing theory in a specialized branch of economics | |
5 | Students critically evaluate knowledge in economics and carry out advanced research independently | |
6 | Students develop economic models and formulate policy options | |
7 | Students make an original contribution to the discipline | |
8 | Students effectively communicate in a variety of professional and academic contexts | |
9 | Students will develop new strategic approaches for unexpected, complicated situations in economics and take responsibility in solving them | |
10 | Students uphold and defend ethical values data collection, interpretation and dissemination | |
11 | Students use advanced empirical analyses to address social problems | |
12 | Students interact with professional networks in their field of specialization |
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 |