8Mês·

Part 8 - Reading volatility correctly: Risk, information or opportunity?

Reading time: about 4 minutes

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The past few weeks have been a good example of how quickly market sentiment can shift. Intraday movements typically seen only during periods of stress, abrupt changes in direction, days with a +2% gain followed by a −3% drop (and in some cases, much more). Many discussions immediately centered on fear, panic, or “unnecessary nervousness.” To me, this explanation falls short. After all, such fluctuations don’t arise out of nowhere—they occur when the market becomes uncertain about which valuation logic actually applies.


That is precisely why it’s worth viewing volatility not just as a risk, but as a source of information.


Volatility is not a phenomenon in and of itself. It is a symptom—and often a fairly honest one. When markets are calm, it doesn’t mean they’re healthy. It simply means that expectations, valuations, and capital flows are not currently in conflict. Conversely, rising volatility does not necessarily signal danger, but rather uncertainty about how value is currently being measured.


The VIX is a good example of this. It does not measure fear in the emotional sense, but rather the expected range of fluctuation. During periods when the market framework is shifting, this uncertainty inevitably rises. Old narratives still linger, while new ones have not yet taken hold. The market feels its way forward—not linearly, but in fits and starts. The result is precisely the kind of price movements we’ve seen recently.


Those who view volatility merely as a disruptive factor ignore this information. Those who can interpret it gain insights into where the market is currently struggling to find meaning.


A common fallacy is equating volatility with a poor investment environment. Historically, many of the best entry points arise precisely when volatility increases—not because the situation is objectively improving, but because valuations are falling faster than fundamentals. Quality stocks with robust cash flows, in particular, are often sold off during periods of nervousness, even though little changes from an operational standpoint. $MSFT (+0,45%) (Microsoft), $V (-0,01%) (Visa), or even $AMZN (-0,08%) (Amazon) demonstrate this pattern time and again: volatility rises, prices correct, and long-term value remains intact.


In this context, drawdowns are not a flaw, but rather part of the pricing mechanism. Without pullbacks, there is no revaluation; without revaluation, there is no adjustment to a new market environment. The situation only becomes critical when declines have structural causes—such as persistently falling margins, rising debt, or an eroding business model. This is precisely where operational volatility differs from fundamental volatility.


What matters, therefore, is not whether volatility is rising, but where it occurs. Broad market volatility often points to macroeconomic uncertainty or liquidity issues. Selective volatility at the individual-stock level is usually far more meaningful. When high-growth but unprofitable stocks fluctuate sharply while profitable, high-quality stocks remain comparatively stable, this is no coincidence but rather an expression of a shifting valuation benchmark. Capital is becoming more selective.


Transitional phases—those intermediate zones I mentioned in the last part—are particularly challenging. These are phases in which old narratives still dominate, but the market framework has already shifted. Volatility increases because market participants are operating under different models. One buys into the story, while another sells based on the balance sheet. Doing both at the same time creates movement but no clear direction.


Most poor decisions are made during such phases. Those who reflexively avoid volatility often sell precisely when valuations are becoming attractive again. Those who blindly exploit it jump into structurally flawed business models too early. I haven’t traded outside of my savings plans this week. However, some stocks are nearing my target prices. Patience is crucial for me here (even if my fingers have itched a few times). The key lies in the valuation framework: Which cash flows are realistic? Which margins are sustainable? Which capital structure is viable?


Volatility is therefore not a timing tool, but a contextual signal. It doesn’t tell you what to buy or sell, but rather when the market is particularly uncertain about a stock’s value. And that’s exactly when it’s worth taking a closer look.


For my own decision-making, this means: Rising volatility doesn’t automatically increase my risk—it increases my attention. Assumptions must be reviewed, expected values adjusted, and price and value clearly distinguished. This is especially true for stocks like $GOOGL (+0,22%) (Alphabet) or $HON (+0,02%) (Honeywell), volatility in the past was less of a warning signal than an invitation—provided one understood why the market was nervous at that moment.


In the next part, we’ll expand this perspective to include another dimension:

fiscal policy, debt, and markets. The government as a market participant. When debt is problematic—and when it enables growth. An analysis that goes beyond simple debt-to-GDP ratios. Because here, too, the same principle applies: What matters isn’t the headline, but the valuation framework within which it operates.

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12 Comentários

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Thank you for the explanation my dear.
A great example for me this week is $SPGI.
I bought it because it's rare to find such quality at such a relatively 'cheap' price.
Other examples as you have already mentioned, $MSFT Or actually the entire software sector 😭

How do you see it at $SPGI, I would be interested in your well-founded assessment 💪🏾
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@ShindyDeanMartin Thanks for your comment - great quality stock. I only had a quick look at S&P Global and deliberately did not do an in-depth analysis, but rather a superficial fair value classification. On the basis of conservative EPS growth of around 10-11% p.a., I consider a fair value corridor of around USD 520-580 (around EUR 480-535) to be plausible, based on a time horizon of around 1.5 to 2 years, i.e. as a medium-term orientation value and not as a short-term price target. Technically, the picture is not yet completely clear in the short term, as the relevant SMAs have been breached to the downside - I see this effect lasting for weeks to a few months. Fundamentally, however, the entry is a good fit for me: a quality buy with a medium-term horizon, where patience is more important than perfect timing.
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@Liebesspieler Wow, thanks for your assessment!
That's exactly how I see it too. My fair value was also around €550-600.
As long as the AI issue is not backed up with real figures, it's sentiment noise, not a structural problem.
I believe in the business model and see AI, if then as an enhancer, and not as a destroyer of the business model.
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@ShindyDeanMartin I'm definitely keeping my fingers crossed 👍
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@Liebesspieler Thank you, me too.
By the way, a little feedback, I always find the knowledge you impart outstanding, keep it up 👍🏽
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@ShindyDeanMartin That's super nice of you! Thank you ❤️
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Thank you for your analysis. As a trader, I naturally like rising volatilities. I can achieve the same or higher returns with much less risk, especially in the derivatives area, because I can choose lower leverage.
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Saved as a bookmark Part 8 🙏🏽🤝
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As a holder of $JEPQ, for example, I also like it when the vola in the underlying index is higher. This helps to realize rising option premiums 😀
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@GoDividend Thanks for the interesting tip. I have a similar view: in phases of higher volatility, the covered call logic works well because the premiums rise. But you trade that for limited upside - exciting as an income component, but not so much as a yield turbo
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@Liebesspieler Depending on the situation, you can use this to your advantage
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@GoDividend absolutely :)
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