How the Crypto Market Challenges the Efficient-Market Hypothesis

Imagine a market where apples in one row sell for three euros per kilogram, and in the next row, the exact same apples – same variety, same weight – sell for five. The sellers know it. The buyers know it. But no one moves from one row to the other. It sounds absurd. Yet this is precisely the picture that unfolds in the crypto-asset markets, when translated into the language of finance, and it's what the study I want to tell you about has captured.

The Myth of the Smart Market and Crypto

The Myth of the 'Smart Market'

In economic theory, there is a beautiful idea: the efficient-market hypothesis. Formulated in the 1960s and '70s, it posits that asset prices always reflect all available information. In other words, the market is a collective intelligence that instantly digests any news, any signal, any change, and incorporates it into the price. Deceiving such a market is, in theory, impossible: if there's a 'cheap' asset somewhere that is undervalued, smart investors will immediately buy it, the price will rise, and the anomaly will vanish.

It's a wonderful theory. The trouble is, people aren't algorithms. And markets, made up of real people with their fears, habits, and blind spots, behave very differently.

That is precisely why, when researchers decided to test just how 'smart' cryptocurrency markets are, the results were, to put it mildly, discouraging. The market isn't just inefficient – it violates the most basic rules of equilibrium that should hold true under any reasonable assumptions about investor behavior.

Market Equilibrium Violation in Crypto Assets

What Is 'Equilibrium,' and Why Is Violating It a Big Deal?

Let me explain with an analogy. Suppose you're deciding where to invest your money – in two different bank deposits. Both offer the same baseline risk; both banks could go bankrupt with an equal probability. But one deposit is also tied to the dollar exchange rate, meaning there's an additional currency risk. For this extra risk, you would logically expect an additional return. That's reasonable. This is the 'risk premium.'

Now, for the key question: should this extra payment for currency risk be the same for all deposits with the same baseline bankruptcy risk? Of course, it should. If one place pays 2% more for the same currency risk, while another pays 2% less, that's a breakdown of logic. It's a signal that something is preventing the market from functioning normally.

This is exactly what researchers found in the cryptocurrency markets – only on a scale that is difficult to explain by chance or data error.

Study Design Twin Portfolios Different Fates

How the Experiment Was Designed: Twin Portfolios with Different Fates

The study's methodology is elegant in its logic. Scientists took hundreds of crypto-assets and sorted them into groups based on their degree of 'sensitivity' to the overall market movement – let's call it the 'market beta coefficient.' Essentially, this is a measure of how much a particular token follows the general wave: if Bitcoin rises, it rises; if the market falls, it falls too.

Within each of these groups (with roughly the same sensitivity to the overall market), the researchers then divided the assets by an additional risk factor. They considered three such factors:

• Asset size – large coins versus small ones. Smaller cryptocurrencies are more volatile and less liquid, so it's logical to assume they should compensate investors for this discomfort with higher returns.
• Momentum – coins that have been rising in recent months versus those that have been falling. The 'winners keep winning' effect has long been known in stock markets, and the researchers checked if it works in crypto.
• Volatility – how wildly an asset's price 'jumps.' The more 'jumps,' the higher the compensation for the stress should be.

The result was pairs of portfolios: two portfolios with the same sensitivity to the overall market but with different degrees of additional risk. Let's call them the 'stable' and 'risky' portfolios.

If the market operates rationally, the 'risky' portfolio in each group should either consistently outperform the 'stable' one (if the risk is being rewarded) or consistently underperform (if investors, for some reason, don't demand compensation). The key word here is consistently. The sign of the premium should be the same across all groups.

Crypto Market Data Contradicts Itself

What the Data Showed: The Market Contradicts Itself

The results were astounding. Across all three factors – size, momentum, and volatility – the researchers found the same pattern: the premium for additional risk changes its sign depending on which market sensitivity group the asset is in.

To put it simply: small coins with low market sensitivity yielded higher returns than large ones – completely logical. But small coins with high market sensitivity suddenly started underperforming large ones. Same risk, different price. The difference in returns between portfolios sometimes exceeded 2–3% per month, and this wasn't statistical noise: the figures are significant with 99% confidence.

This is roughly like if fire insurance was expensive for wooden houses in one neighborhood and cheap for the exact same wooden houses in the next. Meanwhile, the actual probability of a fire is identical. This isn't pricing – it's chaos.

The story repeated with momentum. In some asset groups, the 'winners' continued their winning streak – the momentum effect worked. In other groups, the very same 'winners' suddenly started losing to the 'underdogs.' The average monthly spread in returns between high- and low-momentum portfolios ranged from plus 1.5% to minus 1.0% – depending on which 'market group' the assets were in.

The same pattern emerged with volatility: in some market segments, more 'jittery' assets generously rewarded patient investors, while in others, they punished them for the exact same 'jitteriness.'

Why Inefficiency in Crypto Markets Matters

Why This Matters: It's Not a 'Wrong Model,' It's a Broken Market

It's worth pausing here to appreciate the scale of this discovery. Often, when economists talk about 'inefficiency,' they mean 'our model is imperfect' or 'we measured the risk incorrectly.' It's a convenient explanation that allows them to preserve their faith in the theory and write off anomalies as imperfections in their tools.

This study was specifically designed to rule out that explanation. The method the authors use doesn't require knowing the exact price of risk. It only says one thing: if risk is assessed in any reasonably consistent manner, the sign of the premium cannot change based on extraneous circumstances. If you're rewarded for the risk of 'being a small coin' in one context and penalized for it in another, this isn't a modeling issue. It means that capital is not flowing where it should, and something is physically obstructing that flow.

What is it? The researchers call it 'frictions' – and this is where the most interesting part begins.

Frictions Five Reasons Crypto Markets Get Stuck

Frictions: Five Reasons Why the Market 'Gets Stuck'

Imagine a smart investor who sees a clear anomaly: here's portfolio A, here's portfolio B; the risk is the same, but B is more expensive than it should be. The logical move is to buy A and sell B, capturing a risk-free profit. This is called arbitrage – the mechanism that, in theory, should instantly correct such imbalances.

But in crypto markets, this mechanism often fails. Why?

First: transaction costs. Fees on crypto markets, especially for illiquid altcoins, can be so high that they eat up all the theoretical profit from arbitrage. By the time you carry the apples from the cheap row to the expensive one, half of them have spoiled on the way.

Second: liquidity. Many small tokens simply cannot be bought or sold in the required volume without crashing the price yourself. It's like trying to sell a rare painting: as soon as your intentions are known, the price immediately reacts to them.

Third: information chaos. Stock markets have strict disclosure rules, regulators, and auditors. In the crypto space of 2017–2022, when most of the data used in such studies was generated, information spread through Twitter, Telegram channels, and anonymous forums. Some investors knew more, others knew less, and this inequality created persistent price distortions.

Fourth: behavioral biases. Crypto markets are a unique ecosystem of emotions. The fear of missing out (FOMO), when everyone around you is making money on the latest token and your hand reaches to buy, and the fear of loss, when the market is crashing and you want to sell everything immediately – these emotions distort pricing far more than on traditional markets. The retail investor, who makes decisions based on headlines and chatroom advice, is not the 'rational agent' of efficient-market dreams.

Fifth: fragmentation. Cryptocurrencies trade on dozens of exchanges worldwide simultaneously, each with its own rules, fees, and regulatory environment. The same Bitcoin can, at any given moment, be slightly more expensive on exchange A and slightly cheaper on exchange B. Theoretically, this is also an arbitrage opportunity – but transaction costs, delays, and technical limitations make it difficult to achieve for most participants.

Implications of Crypto Market Inefficiencies for Investors

What This Means for Investors

If the market is inefficient, this leads to two opposite conclusions – and both are true at the same time.

On the one hand, inefficiency is an opportunity. If prices don't always reflect true value, then a smart and informed investor can theoretically systematically beat the market by finding assets with mispriced risk. The study literally describes how to do it: look for situations where the same secondary risk is priced differently in different market segments.

On the other hand, inefficiency is a danger. Markets where prices don't reflect information are unpredictable and prone to sharp movements. An investor who ignores these peculiarities and simply 'holds a diversified portfolio,' as one would on the stock market, risks taking on risks for which they won't be compensated. In other words: you can't just 'buy and forget' here.

Understanding Markets General Lessons from Crypto

What This Means for Understanding Markets in General

There's a broader and, in my view, more important takeaway from this research. Cryptocurrency markets are not some exotic curiosity on the fringes of the financial world. They are a kind of laboratory where we can observe how market mechanisms work (or don't work) under conditions of minimal regulation, high participant emotionality, and information chaos.

And what do we see in this laboratory? We see that the efficient-market hypothesis is not a law of nature but a condition that is met only in the presence of a specific institutional environment: transparency, liquidity, regulation, and experienced participants. Take away these conditions, and the market starts behaving as if everyone is trading in their own parallel universe.

The study's authors separately emphasize that as cryptocurrency markets mature, attract institutional investors, and come under regulatory scrutiny – a process that has noticeably accelerated since 2020 – some of the identified inefficiencies will likely smooth out. But as long as the infrastructure remains fragmented and a significant portion of participants are guided by emotions rather than analysis, there will be no 'smart market' here.

Frictions in Crypto Markets Mirror Society

Frictions as a Mirror of Society

I particularly like the word 'frictions,' which the study's authors use. In physics, friction is what impedes motion, converts energy into heat, and slows a system down. In economics, frictions are everything that prevents capital from flowing where it is most needed: costs, information asymmetry, emotions, and regulatory barriers.

And here's what's interesting: the frictions in crypto markets are not a technical glitch that can be fixed with a software update. They are a reflection of who trades in these markets and how. It's the fear of missing out that drives buying at the peak. It's the mistrust of unfamiliar assets that deters arbitrage. It's the greed that prevents rational risk assessment.

Money only exists because we believe in it – but markets only function because we agree on the rules of the game. When the rules are blurry and the players each follow their own, the market transforms from a mechanism for resource allocation into an arena where the winner isn't the smartest, but the one who best understands the fears and illusions of others.

Cryptocurrency markets are perhaps the most honest reflection of this truth that the financial world has produced in recent decades.