Applying Investment Decision Rules for Startups
About this Course
In the previous course, you learned financial statement analysis and how to make estimate of future financial status. In this course, you are going to learn capital budgeting. That is, how to make an investment decision. You would like to select the best project among various projects you can take. Then, you need to know the criteria. In this course, you are going to learn investment decision criteria such as NPV and IRR, which are most popular decision rules. Using financial analysis and discounted cash flow method, you can make pro forma financial statement and estimate project cash flows. Then, you apply investment criteria to determine whether to invest or not. After learning how to apply NPV and IRR method to investment decision, you are going to learn how to evaluate NPV estimate and scenario, what-if analyses and break-even analysis. In addition to NPV and IRR, you are going to learn Payback period method and Profitability method to determine whether to invest or not when there is a political risk or capital rationing.Created by: Yonsei University

Related Online Courses
The Robotic Process Automation (RPA) specialization offers comprehensive knowledge and professional-level skills focused on developing and deploying software robots. It starts with the basic... more
This specialization is intended for people without programming experience who seek to develop C++ programming skills and learn about the underlying computer science concepts that will allow them to... more
Learn and practice the basic principles of running an effective music ensemble rehearsal. Techniques and strategies are applicable to a variety of ensembles, including bands, orchestras, choirs,... more
This course offers an advanced exploration of review techniques and test automation tools, aimed at enhancing software testing practices. It covers the role of a Technical Test Analyst in reviews,... more
This course aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and information science.... more