Disclaimer
The information presented in this lecture is for educational and informational purposes only and should not be construed as investment advice. Nothing discussed constitutes a recommendation to buy, sell, or hold any financial instrument or security. Investment decisions should be made based on individual research and consultation with a qualified financial professional. The presenter assumes no responsibility for any financial decisions made based on this content.
All publicly available content used in this lecture is available and also shared on my GitHub page. Participants are encouraged to review, modify, and use it for their own learning and research purposes. However, no guarantees are made regarding the accuracy, completeness, or suitability of the code for any specific application.
For any questions or concerns, please feel free to reach out via email at lucas.macoris@fgv.br
This is a hands-on, applied course on Valuation designed for professional master’s students in management. Throughout the course, students will:
Basic text-book
Supplementary Reading
Although some topics may vary as we move along the course, we aim to cover the following areas:
Complementary Content
Students are encouraged to bring in new topics and/or in-depth discussions of the covered topics that are of the interest of a broader audience. Whenever applicable, the professor will provide supplementary content in the form of whitepapers, policy papers, and academic papers to foster the discussion.
Grading will be composed of the following activities:
Office-hours
I also host office-hours (by appointment) on Thursdays, 5PM-6PM. In these sessions, I’ll be more than happy to help you with anything you need from this course. Use the Office-hour Appointments link at the bottom of this slide to schedule some time (or click here).
How you can get the best of this course
How the professor can facilitate you getting the best of this course
Definition
Valuation is the process of estimating what something is worth today, based on its expected future benefits. In corporate finance, this typically involves discounting future cash flows using an appropriate discount rate that reflects the risk of those cash flows (Berk and DeMarzo 2023)
Valuation ≠ Price Forecasting: it estimates fundamental value, not short-term market movements.
Purposes of Valuation: Investment decisions, fundraising, M&A, taxation, strategic planning.
A Blend of Science and Judgment: Relies on models and assumptions—cash flows, risk, growth, reinvestment.
\(\rightarrow\) Example: WeWork’s $47B pre-IPO valuation collapsed after governance and business model scrutiny, revealing an inflated narrative disconnected from fundamentals
The fastest way to assess the value of a firm is to compare and contrast it to similar firms in which we assume to know the value upfront
This is what we call Relative Valuation:
\(\rightarrow\) Example: SaaS startups valued at 10x–20x revenue during bull markets
\[ V=\sum_{t=0}^{\infty}\dfrac{FCF}{(1+r)^t} \]
\(\rightarrow\) Example: valuing the introduction of a new project within a given company requires estimates around (expected) future cash flows and its associated risk, as well as the investment needed
\(\rightarrow\) Example: the liquidation value of Lehman Brothers post-crisis
\(\rightarrow\) Example: Meta lost $200B in market cap in 2022 after weak earnings and guidance—market revised growth expectations sharply
“Every valuation tells a story. The danger lies when the story is fiction.” – Aswath Damodaran
What happens when standard valuation models don’t work to frame a specific valuation target?
There are common real-world examples that pose difficulties for the standard valuation methods:
\(\rightarrow\) Example: Uber pre-IPO required projecting market share in unproven markets
\(\rightarrow\) Example: Nikola surged on hydrogen truck hype—collapsed after short-seller revelations