Financial Analysis · Valuation
Valuation techniques for financial analysts
A structured program covering the methods analysts actually use — from DCF modelling to comparable company analysis — with live sessions where you work through real cases.
Ask about enrolmentWhat the program covers
The curriculum is built around the methods that show up most in analyst work. Each module focuses on one technique, then connects it to the others so you see how they interact in practice.
Sessions run live, which means you can ask questions as they come up rather than waiting for a forum reply. Recordings are available if you miss one.
Foundations of business value
What drives value in a business, how accounting connects to economics, and where analysts typically misread the numbers.
Discounted cash flow modelling
Building a DCF from scratch — projecting free cash flows, choosing a discount rate, and stress-testing your assumptions with sensitivity tables.
Comparable company analysis
Selecting the right peer group, adjusting for capital structure differences, and interpreting multiples without over-relying on them.
Precedent transaction analysis
Reading deal data, accounting for control premiums, and understanding why transaction multiples diverge from trading multiples.
Putting the methods together
Reconciling outputs from different approaches, building a valuation range, and presenting your conclusions clearly to a non-technical audience.
How sessions are structured
Each session follows the same rhythm so you know what to expect, but the material changes week to week.
Concept walkthrough
Each session opens with a focused explanation of the technique — no background assumed beyond basic accounting. The instructor works through the logic before touching any model.
~30 minLive model build
The instructor builds or extends a spreadsheet model on screen while explaining each step. You follow along with a template sent before the session.
~40 minCase discussion
A short real-company case is reviewed together. Participants share their read on the numbers before the instructor walks through the analysis — disagreement is expected and useful.
~20 minOpen Q&A
The last segment is unstructured. Bring questions from your own work — the instructor answers directly, and other participants often jump in with their experience.
~15 min