In my previous post, “What Must Greek Companies Earn to Justify Their Value?”, I applied Professor Aswath Damodaran’s reverse-engineered valuation framework to the Top-10 Greek companies by market capitalization.
Instead of asking the traditional question — “What is this company worth?” — the framework reframes valuation in a more transparent way:
How much revenue must a company generate today for its current market value to be justified?
By solving a simplified, stable-growth valuation model for revenue rather than price, we can directly compare what companies need to earn with what they actually earn. Applied to Greece’s largest listed firms — representing roughly 65% of total ATHEX market capitalization — this approach suggested that Greek large caps are not in bubble territory, even after a strong rally.
In this post, I take the analysis one step further.
From a One-Off Valuation to a Living Market Dashboard
Rather than treating breakeven valuation as a static exercise, I built a Market Dashboard (available via the Market Dashboard tab on my blog) that tracks these relationships daily, both at the market level and at the level of a representative large-cap firm.
The idea is simple:
Markets move every day — fundamentals move more slowly.
This framework allows us to observe how valuation pressure evolves over time, rather than relying on isolated snapshots.
The Core Measures Tracked Daily
The dashboard is built around five core valuation measures, derived from firm-level breakeven revenues and aggregated upward.
Market-Level Measures
Figure 1: Total Market Breakeven Revenue vs. Total Market LTM Revenue
Shows the total revenue the Top-10 ATHEX companies would need to generate to justify current prices, compared with the trailing twelve-month revenue they actually generate.
Figure 2: Total Market Breakeven Gap
Displays the absolute euro difference between required and actual revenue — a direct measure of valuation pressure at the market level.
Representative Firm Measures
Figure 3: Representative Firm — Implied vs. Actual Revenue
Shows the market-capitalization-weighted breakeven revenue of a representative large-cap firm versus its actual trailing revenue.
Figure 4: Representative Firm Breakeven Revenue Gap
The euro revenue shortfall of the representative firm relative to what would be required to justify its valuation.
Figure 5: Relative Revenue Gap (Breakeven − Actual) / Actual
Expresses the valuation gap in percentage terms, both at the market level and for the representative firm. For example, a value of 1.25 implies that revenues would need to rise by 25% for valuations to be considered fair.
Together, these measures answer two related but distinct questions:
Is the Greek equity market as a whole stretched?
Are the largest firms driving that stretch — or masking it?
Importantly, they do so on a daily basis.
While we do not expect dramatic changes from one day to the next, the dashboard is designed to capture:
infrequent but meaningful valuation shifts, and
broader trends that only become visible through continuous tracking.
For example, prices may fall while breakeven revenues improve — suggesting a correction rather than deteriorating fundamentals — or vice versa.
Methodology (Brief Overview)
Firm-level data (LTM revenue, net profit margin, ROE, and market capitalization) are collected daily.
Breakeven revenues are computed using a stable-growth valuation framework inspired by Damodaran, described in detail in my previous post and accompanying spreadsheet.
Market-level totals and market-cap-weighted averages are recalculated each day.
Long-term assumptions — the perpetual growth rate and the cost of equity — are updated monthly, not daily, to avoid unnecessary noise.
What Happened Last Week (8–12 December)
Last week marks the first full week of collected data.
Over the period:
Actual revenues remained stable, as expected over such a short horizon.
Breakeven revenues fluctuated modestly, driven mainly by changes in market capitalization rather than fundamentals.
As a result, the market-level revenue gap narrowed mid-week, before widening again toward the end.
At the representative firm level, movements were similar but less volatile, reinforcing an important insight:
Short-term valuation changes in Greece are currently driven primarily by price movements, not by changes in underlying earnings power.
Adding a Missing Piece: Country Risk Premium
Alongside the valuation dashboard, I am also computing a daily, rolling Country Risk Premium (CRP) for Greece, which will be added to the dashboard shortly.
Unlike static CRP estimates, this measure:
updates daily,
incorporates bond market movements and equity volatility, and
is designed to remain internally consistent across maturities.
As with valuations, the focus is not on daily noise but on outliers and trends.
Valuation does not exist in isolation — it moves with risk.
Going Forward
From now on:
📊 The dashboard will be updated on an almost daily basis, subject to data availability. In the event of data collection issues, temporary alternatives may be used
📆 Long-term assumptions will be updated monthly
🔍 I will publish weekly or bi-weekly summaries on LinkedIn, discussing changes in these measures alongside developments in the Greek yield curve
The yield curve itself will not appear directly on the dashboard, as its structure makes daily visualization less informative, but it will be discussed alongside the valuation metrics.
Why This Framework Matters
This dashboard is not designed to predict returns or function as a trading signal.
The methodology is not claimed to be perfect. It represents my current approach, and it is open to refinement. Constructive feedback and alternative perspectives are welcome and encouraged.
What this framework does is structure the valuation conversation by focusing on a small set of economically meaningful questions:
What does the market require companies to earn?
What do companies actually deliver?
Is the gap between the two widening or closing — and why?
How does valuation interact with risk perceptions and the yield curve?
Rather than offering forecasts, the dashboard aims to make valuation pressure observable, trackable, and comparable over time.
This is an ongoing experiment in applied valuation.
As always, feedback and discussion are welcome.
Links
Blog
(1) Google: https://panagiotismoutsiopoulos.blogspot.com/
(2) LinkedIn: https://www.linkedin.com/in/panagiotis-moutsiopoulos/
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