Can you imagine a physicist, accustomed to studying black holes or subatomic particles, analysing stock market behaviour? Not only is it possible, but it is becoming increasingly common. This is how econophysics emerged: a discipline which, much like biophysics or geophysics, applies the methods and tools of physics to the study of economics. This stems from the fact that both physical and economic phenomena can share universal characteristics, and that complex systems can be analysed using the standard toolkit of physics. The term was coined by Boston University physics professor H. Eugene Stanley during a conference on statistical physics held in Calcutta (India) in 1995.
The aim of econophysics is to analyse complex economic phenomena, such as price dynamics, the formation of bubbles or the collective behaviour of market participants, using mathematical, statistical and computational models drawn from physics. This discipline has reshaped the way we understand financial markets by applying these methods to economic analysis. Through the study of complex systems and the management of large volumes of data, econophysicists seek to identify patterns and regularities that classical economic theory fails to explain or tends to overlook, such as herd behaviour.
Economics and finance have relied on mathematics for more than a century—from Brownian motion to game theory, where the outcome for one participant depends on the decisions of others. Today, econophysics is no longer confined to academia. Banks, investment funds and insurers increasingly employ physicists to design financial products, manage risk and analyse data.
The key advantage of econophysics lies in the ability to view markets from entirely new perspectives. Recognising that extreme events occur more frequently than traditionally assumed helps in designing more realistic investment protection strategies. For instance, prices do not follow a normal distribution (the well-known Gaussian bell curve), but instead exhibit “fat tails”, representing extreme outcomes. In this context, models such as truncated Lévy flights are used to better capture the likelihood of large market movements.
Moreover, when making predictions, econophysicists can simulate the behaviour of thousands of agents operating with limited information and without perfectly rational decision-making, thereby offering a more accurate reflection of reality. A practical example can be seen in supermarkets during the COVID-19 pandemic: a small number of shoppers begin stockpiling toilet paper; others, observing this, follow suit for fear of shortages. Ultimately, a scarcity emerges that did not initially exist. Econophysics studies these chain reactions—akin to how, in physics, a small force can trigger a large effect—to explain price surges, financial crises or sudden shifts in the economy.
In short, this field helps us to better understand markets, manage risk and, in the process, reminds us that the economy, much like nature, is full of surprises and unexpected collective behaviours.
Diari d’Andorra 13.05.26
