INVESTMENT APPRAISAL

Course Description

This course is devoted to the techniques of cost-benefit analysis of investment projects. The course covers both the analytical techniques as well as their practical applications in decision-making. The course topics will cover financial modeling of investment projects, alternative investment criteria, the role of discounting the time value of money, pre-feasibility and feasibility studies in project appraisal, sensitivity analysis and maintaining consistency between real and nominal prices, inflation rates, exchange rates and interest rates. It will also cover how to determine the optimal scale and timing of investments and how to construct income statements and balance sheets from cash flow projections.

INVESTMENT APPRAISAL

Evaluation Tools (Active Term)

Course outcomes

No course outcomes have been defined yet.

Course Syllabus

Reference Books & Course Materials

1. 01 Glenn P. Jenkins, Chun – Yan Kuo, and Arnold C. Harberger, Cost-Benefit Analysis for Investment Decisions, First ed. Kindle Direct Publishing 2019.
2. 02 Belli, P., et.al, Economic Analysis of Investment Operations: Analytical Tools and Practical Applications, WBI Development Studies, World Bank Institute, World Bank, 2001

Learning Outcomes

1. L01 To construct a pre-feasibility study SOLO 4
2. L02 To analyze investment projects to determine whether they should be implemented using modern investment decision-making criteria SOLO 4
3. L03 To apply methods of financial modeling for investment projects SOLO 3
4. L04 To integrate financial, economical, and stakeholder analysis SOLO 4
5. L05 To compare alternative investment criteria SOLO 4
6. L06 To assess implementation of public and private invesment projects SOLO 5

Program Outcomes

1. To be able to interpret and evaluate the discussions on the theoretical aspects of International Banking and Finance.
2. To be able to identify regional and global problems that directly or indirectly affect financial issues, to develop solutions and strategies based on evidence and research.
3. To be able to define, evaluate and interpret the classical and current theories of international banking and finance policies and strategies, differences and relationships between them.
4. To have social, scientific and ethical values in the collection, interpretation, announcement and application of data in the field of international banking and finance and to assimilate these values.
5. To be able to follow, understand, interpret and analyze the changing trends in banking and financial activities in the world at an advanced level, and apply innovation and innovative working principles.
6. To be able to set goals and take initiatives to achieve them, to be creative and open to criticism and to have professional competencies at an advanced level.
7. To have an advanced level of foreign language to follow and use the information in the field and to communicate with colleagues.
8. To have advanced computer software and hardware knowledge required by the field of International Banking and Finance, and to be able to use information and communication technologies at an advanced level.
9. To be able to use theoretical and practical knowledge gained in the field of International Banking and Finance at an advanced level.
10. To be able to benefit from other fields that form the basis of financial policies and to understand the interaction between these disciplines.
11. To be able to examine the basic problems in the field of International Banking and Finance with scientific methods, to interpret and evaluate the data.
12. To be able to take responsibility individually and as a team member to solve complex problems encountered in practice related to International Banking and Finance, and to produce solutions.
13. To be able to critically evaluate the knowledge and skills acquired in the fields of International Banking and Finance, to determine learning needs and to carry the learning process to an advanced level.
14. To inform experts or non-experts on financial issues, to share their ideas and problems and solution methods by supporting them with quantitative and qualitative data.

Po-Lo Matrix