Econophysics is bringing together physics, mathematics, economics, and finance to study how complex financial systems behave. The field applies tools from statistical physics, nonlinear dynamics, network theory, and computational modelling to problems involving markets risks and economic behavior. The term was coined by physicist H. Eugene Stanley in 1995 at a statistical physics conference in Kolkata. Since then, researchers have used physics-based approaches to examine financial fluctuations, market correlations, wealth distribution, bubbles, and systemic risks. One important area is the analysis of financial markets as complex systems rather than assuming that markets always behave in simple or predictable ways. Methods such as random matrix theory, agent-based modelling, and network analysis can help researchers study relationships between assets and interactions among market participants. The growing field offers new opportunities for students with backgrounds in physics, mathematics, computer science, economics, and data science, particularly in quantitative finance and financial research.
Econophysics: How Physics Is Transforming Financial Research
