The hidden rules of markets: why structure drives behaviour more than surprises

Talking about the future of markets is often framed as guesswork: reacting to the latest news, chasing trends, or interpreting signals from mountains of data. But there is another way. In this article, STE Analytics Managing Partner Pekka Aarnisalo explains how you can anticipate market movements through structure, instead of being at the mercy of surprises by using the right tools and methods.

“We shape our tools and thereafter our tools shape us.”
– Marshall McLuhan

Seeing the forest through structure

At STE Analytics, we aim to see the metaphorical forest through structure. Our method is grounded in systems thinking and system dynamics, because in many industries the real drivers of change are not chaotic events. They are established structures that evolve surprisingly slowly over time.

For example, commodity markets like containerboard or fine paper are clearly shaped by this structural inertia, which arises from:

• capacity lead times
• contract lengths
• inventory levels acting as buffers
• decision-making habits that don’t shift overnight.

These elements dampen volatility and create recurring patterns that are best understood using models designed to reflect market structure and feedback loops.

What if the future isn’t chaotic, just misunderstood?

We often think of the future as uncertain, driven by surprises and sudden change. Headlines shift daily, markets jump, and boardrooms react on gut feeling. But what if that view is only part of the truth?

In many industries, the direction is already set, shaped by structures that evolve slowly, like capacity, contracts, inventories, and embedded behaviours.

The challenge is not predicting surprises, but understanding the trajectory that is already unfolding.

When foresight works and when it doesn’t

It’s common to hear: “You can’t predict the future.” And in some areas, like currency exchange rates or politics, that is obviously true. These systems respond rapidly to:

• sentiment
• speculation
• unpredictable shocks.

But many other systems behave differently.

Consider two unrelated examples of predictable systems: the Moon’s stable orbit around Earth, and the annual cycle of seasons driven by Earth’s axial tilt and its orbit around the Sun. These are systems with high structural inertia. Their behaviour is guided by well-understood rules that don’t change. We may not know every detail in advance, but the broad patterns are foreseeable.

The same applies in many industries:

• Capacity cannot be built or removed overnight.
• Inventories don’t vanish in a day.
• Buyers and sellers follow decision rules that have evolved over decades and are deeply embedded into the market structure. Facing similar supply and demand conditions today, they often make decisions very similar to those made in the past.

These are not chaotic systems. They are systems with memory, structure, and resistance to rapid change.

So while not everything can be anticipated, a great deal of the future is already shaped by today’s structures. System dynamics helps us make sense of that.

Structural simplicity beneath the complexity

Modern business environments often feel complex, packed with data, headlines, and shifting trends. But when you look closer, much of this complexity arises from the interaction of a few simple underlying structures.

System dynamics helps uncover these foundations. Compared to AI or statistical models, it emphasises:

• Causality – understanding why changes happen, not just observing that they do.
• Transparency – making the assumptions and rules behind the model visible, so decisions are based on clear logic.
• Beyond pattern recognition – showing the drivers behind the patterns, not just spotting correlations.

In many industries, the way players act in different market situations has been surprisingly consistent for decades. Once we discover the system’s structure, we can use it to explain both past behaviour and future trends.

Leading with foresight

This perspective also changes how leadership works. Instead of reacting week by week, managers can focus on longer time horizons and proactive planning.

You can stop reacting to noise and start responding to structure. The benefits are significant: more clarity and resilience, and better-informed decisions.

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Coming up next

In the next blog article, Pekka writes about the myth of forecasting impossibility and introduces our practical tool for structural market foresight.