Here is what we are doing on 2nd Jun in Financial Modeling for Founders Workshop.
Day 1. Session 1.
Maya's Closet. Case Study.
Analyzing Growth in the middle of a pandemic Validating assumptions
Modeling growth
Dry run of Maya expansion model
Modeling downside.
Day 2. Session 2.
Maya continued.
Adding complexity and sophistication
Revenue drivers for an e-commerce business
Stress testing and scenario analysis
Using the distribution for stress scenarios
Founder models meet banking models.
Day 3. Session 3.
GEMS School Systems. A private equity case study.
The questions you want to answer?
Modeling GEMS's outlook
Sophisticated drivers, sophisticated models.
Modeling Debt Schedules. Fixed Asset Schedules.
Thou Shall not do? Rules to live by.
Day 4. Session 4.
GEMS Case Study continued.
Untangling the statement of cash flows
Reality checks. Bringing it all together
Calibrating the model
Using data tables for calibration
Shortfall. Downside. Cashflows
How much is GEMS really worth?
Answering the valuation question?
The 5th half day is a bonus day. Surprise day.
The 5 half day course on financial modeling has evolved over 20 years to get to its current fully remote edition.
The 2nd June cohort is sold out and closed. 14th June cohort is still open.
Interested in picking the full course up at a discount?
US$ 1,250 at half to 30% off?
We ran a flash Twitter auction last week.
If you missed it here it is again for the 14th Jun cohort
24 hour auction begins now. Opening bid US$625. By now price $1,000.
What does it take to run the mile in less than 9 minutes?
Not a lot if you are a fit 30 year old runner or fitness professional. Malcolm Gladwell the 57 year old author of Outliers ran it in 5:15 earlier this week beating out a much younger field.
One would think it's easy?
That depends on what your comparative peer group is? 50 year old Pakistani men?
60 year Boston Qualifier who have run the Boston Marathon every year for the last few years?
The models we build depend on the stories we want to tell and the questions we want to answer.
The most important of building the model is figuring out the question we are trying to answer.
Do that first before you start with Excel.
Our ability to generate scenarios for stress testing and sensitivity analysis is limited by acceptable and common ranges.
Understanding the distribution of drivers we are modeling can lead to richer and far more appropriate scenarios.
While most model builders are comfortable with putting together a balance sheet and income statement, quite a few struggle with statement of cash flows. If they can or could, they would skip it.
You can't balance your balance sheet or pass model cross checks without one.