Frontiers of finance: Evolution and efficient markets

TL;DR

This review discusses recent advances in quantitative financial market modeling, highlighting the shift from traditional rationality-based models to evolutionary and ecological approaches that view markets as dynamic, adaptive systems.

Contribution

It introduces the emerging field of evolutionary and ecological models in finance, emphasizing their potential to better explain market dynamics beyond rationality assumptions.

Findings

Evolutionary models offer new insights into market behavior.

Ecological perspectives view markets as adaptive systems.

Research in this area is still in early stages.

Abstract

In this review article we explore several recent advances in the quantitative modeling of financial markets. We begin with the Efficient Markets Hypothesis and describe how this controversial idea has stimulated a number of new directions of research, some focusing on more elaborate mathematical models that are captable of rationalizing the empirical facrts, others taking a completely different different tack in rejecting rationality altogether. One of the most promising directions is to view financial markets from a biological perspective and, specifically, with an evolutionary framework in which markets, instruments, institutions, and investors interact and evolve dynamically according to the "law" of economic selection. Under this view, financial agents compete and adapt, but they do not necessarily do so in an optimal fashion. Evolutionary and ecological models of financial markets is truly a new frontier whose exploration has just begun.