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The real risk isn't the event, it's your reaction to it

The noise is deafening. The question is: what do you do about it?

I have been doing this for over 20 years, and I cannot recall a period where markets have been this reactive to headlines. Liberation Day tariffs drove a near 20 percent drawdown in just seven weeks. Then concerns around the Strait of Hormuz pushed oil above 100. An Iran ceasefire delivered the Dow’s best single day since April. Small caps have rallied 45 percent off their April 2025 lows.

On any given day, it feels like we are toggling between crisis and opportunity, depending on which headline you are reading.

What I keep coming back to is simple. The noise itself is not the issue. It is how we respond to it that ultimately drives outcomes.

The real risk isn’t the event, it’s your reaction to it

When markets spike or crater on headlines, the instinct is to do something, raise cash, chase the rally, dump whatever just got hit. I get it. But I tend to lean on the data, and more often than not, it tells a very different story.

The challenge is that unless you had the foresight (or luck) to anticipate the event, by the time it’s in the headlines, the first move is already behind you. So, the real question becomes: what happens next? In many cases, that initial drawdown is more behavioral than fundamental, a knee-jerk repricing driven by emotion rather than economics. But once the second-order effects begin to work their way through the broader economy, that’s when things can get more serious. At that point, downside risk can accelerate meaningfully. We’ve seen how that plays out—just look at 2007–2008.

Markets, in my experience, tend to unfold in two phases. First, you get the behavioral move, the panic or euphoria driven by headlines and positioning. Then comes the fundamental follow-through, when the real economic impact becomes clear and prices adjust accordingly. It’s that second phase that tends to matter most, and where the bigger opportunities, and risks, usually sit.

What I actually watch

So, if headlines are not the signal, what is?

I focus on four core indicators. Not because they can predict the future, but because together they capture the interaction between behavioral sentiment and underlying fundamentals.

  • The S&P 500 shows what the market is pricing in. When it gets extended, you often see behavior creep in, where optimism outruns what can actually be justified. That is typically where overpricing starts to build.
  • The VIX reflects fear in real time. But context matters. A spike in volatility is not automatically a sell signal. Sometimes it is rational repricing. Sometimes it is panic that creates opportunity. The distinction is critical.
  • The Leading Economic Index is the forward looking reality check. Markets can drift away from fundamentals for a while, but LEI helps anchor where the economy is actually heading, not where the narrative suggests it should be.
  • And then there is the Fed. When policy shifts outside of scheduled meetings, that is not noise. That is a signal that conditions have changed in a meaningful way.

Where this gets tricky is when you isolate any one of these.

I have learned this the hard way. The VIX spikes, you move to cash, and the market rallies without you. The S&P pulls back, you rotate defensively, and small caps take the lead. LEI softens, you trim exposure, and then the Fed pivots and risk assets surge.

Each signal, on its own, can be right. Acting on it in isolation is where things tend to go wrong.

That is how portfolios get whipsawed. The first moves are often driven by behavioral sentiment and positioning. They feel urgent, but they are not always durable. The more consequential moves come later, when fundamentals and policy begin to assert themselves.

If you are reacting to the first phase and missing the second, that is where the real risk tends to sit.

Secondary testing: the confirmation layer

Let me walk through how this plays out in practice.

Take LEI as an example. If it starts to weaken, that is an important signal. It is flagging the potential for fundamental stress ahead. But on its own, that is not enough to drive allocation changes. I want to see confirmation in the trend. Is this just a one month wobble, or are we seeing a more persistent deterioration?

That second layer of testing acts as a filter. It is what separates reacting to noise from responding to a genuine shift in conditions. We are not trying to sidestep all volatility. That is not realistic. The objective is to avoid the kind of losses that occur when behavioral sentiment disconnects from fundamental reality and leaves assets overpriced.

That is exactly what the h-factor® is designed to capture. It measures the probability that a company will fail to deliver the revenue growth indicated by its stock price. When that probability is elevated, you are effectively taking risk without being properly compensated. That is the type of risk we aim to systematically avoid.

The discipline of dynamic allocation

Here is what the current framework looks like in practice.

Quarterly rebalances set the baseline across equities, fixed income, and alternatives including cash. Mid quarter checkpoints help us identify emerging conditions before they escalate. And when the Fed acts between meetings, the framework automatically reassesses. If the central bank is moving with urgency, the process should too.

It is systematic, not reactive. Probability based, not predictive. The philosophy is consistent. Avoid the losers rather than trying to pick every winner.

What I’m watching now

I will not pretend to know what comes next with tariffs, Iran, or the Fed. Anyone claiming that level of certainty is usually selling something.

What I can do is show you what the signals are saying and how the framework responds. That transparency matters. It should.

We are compiling actual performance data that validates this approach that we will publish on our Substack. No cherry-picked windows. Just real results from a disciplined process operating in real time. To be notified when this becomes available, subscribe to our Substack at https://juliankoski.substack.com/.

The noise is not going away, and neither is the urge to react to it. But there is a clear difference between systematic allocation and emotional decision making dressed up as strategy.

To me, that is not speculation. That is professional responsibility.

Julian Koski, CIO, New Age Alpha

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This document is provided for informational purposes only and should not be construed as investment advice or an offer or solicitation to buy or sell securities. We discuss general market activity, industry or sector trends, or other broad-based economic or market conditions and this should not be construed as research, securities recommendations or investment advice. Investors are urged to consult with their financial advisors before buying or selling any securities. Any forecasts or predictions are subject to high levels of uncertainty that may affect actual performance. Accordingly, all such predictions should be viewed as merely representative of a broad range of possible outcomes.

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Human FactorTM "h-factor®" scores measure the probability that, according to the Human Factor algorithm, a company cannot deliver the growth necessary to support its stock price and are not alone a recommendation about how to invest. The h-factor is a risk that comes from humans interpreting vague or ambiguous information in a systematically incorrect way. We believe that the h-factor causes stocks to be mispriced. We measure how the h-factor affects stock prices to identify which stocks are over or underpriced. We apply our methodology to over 4000 stocks and global indexes to identify a risk that impacts stock prices and is caused by human behavior. Investments not included in the h-factor tool may have characteristics similar or superior to those being analyzed. The accuracy of the h-factor is materially reliant on the integrity of the information utilized in the calculations, including any assumptions and or interpretations made by the user about the data. Data discrepancies, user assumptions, and data input by user can all contribute to differing outcomes. The underlying assumptions and processes presented herein are subject to change. Furthermore, any h-factor score referenced herein is a snapshot taken at a particular point in time and any analysis or information contained in such score is outdated and should not be relied upon as investment advice as such information may have materially changed since publication.

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