- 25 Videos
- 4 Quizzes
- 1 Survey
- 2 Downloads
- 1 Exam
- 2.0 hrs
Scenario and sensitivity analysis course overview
This advanced financial modeling course will teach you how to perform Excel sensitivity analysis with a focus on practical applications for professionals working in investment banking, equity research, financial planning & analysis (FP&A), and finance functions. The tutorial goes step by step through all the formulas and functions required to perform the analysis in Excel from scratch.
What will I learn about Excel sensitivity analysis?
This course is highly condensed and students will learn a lot in a short time. The agenda for this tutorial is:
- Why perform sensitivity analysis? - how to enhance financial modeling and analysis
- Scenario analysis in Excel - structure, setup and CHOOSE function
- Sensitivity model integration - direct and Indirect methods, data tables
- Analyzing results - sorting and organizing the data
- Gravity sort table - using large/small functions in Excel to auto sort
- Tornado charts - a visual representation of the results
- Presenting results - making the output presentation ready
By the end of this course, you will have a thorough grasp of how to build a robust sensitivity analysis system into your Excel financial model. Form and function are both critical to ensuring you can handle quick changes and information requests when you're working on a live transaction.
Why take this Excel sensitivity analysis course?
This course is designed based on years of practical experience performing financial model sensitivity analysis. We use real-life templates and examples to teach you how to perform it step-by-step the way industry veterans do.
Unlike other courses, ours uses both the direct and direct methods of measuring financial sensitivity - and applies those methods to both operating and financial stresses.
Our sensitivity analysis Excel template can be downloaded at the end of the course and used as an example in your own work.
For further CPE information, please read before purchasing: