Investment Analysis (IND500)
The course focuses on analyses of return in investment projects, portfolio analysis, cost for capital and processes for management of risk in projects.
Course description for study year 2024-2025. Please note that changes may occur.
Course code
IND500
Version
1
Credits (ECTS)
5
Semester tution start
Autumn
Number of semesters
1
Exam semester
Autumn
Language of instruction
English
Content
The course focuses on analyses of return in investment projects, portfolio analysis, cost for capital and processes for management of risk in projects.
Learning outcome
Skills
The following list summarizes some of the topics the student will know after completing the course:
calculate present value for different types of investment projects
understand the effects of decision makers' attitudes to risk on investment decisions
calculate return requirements for investments using CAPM
identify and describe real options in investment projects
use decision trees to analyze investment projects with uncertainty and flexibility
perform sensitivity and Monte Carlo analysis on investment projects
understand trade-offs and possible consequences of the form of financing for investments
General competence
Once they complete the course, students will be able to follow and understand finance-related news and debates covered in the media and finance journals. Students will also be able to understand the basics of investment decisions and carry out at least a basic conversation with industry representatives.
Required prerequisite knowledge
Exam
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Written exam | 1/1 | 3 Hours | Letter grades | Basic calculator |
Digital exam on campus.
Coursework requirements
The student is required to have a mandatory assignment approved to be able to take the exam. If the assignment is not approved, the student will not be allowed to write the exam.
Course teacher(s)
Course coordinator:
Andreea-Laura CojocaruCourse teacher:
Sigbjørn Landazuri TveteraasHead of Department:
Tore MarkesetMethod of work
Approximately one 3-hour lecture per week and recommended exercises. Lectures will be delivered in English.
Overlapping courses
Course | Reduction (SP) |
---|---|
Investment analysis (MIN100_1) | 5 |
Open for
This course is open to all master students at the faculty for science and technology as well as the business school at UiS.