Behavioral economics and finance: a selective review of models, methods and tools

Abstract

Purpose

This paper aims to survey literature on behavioral economics and finance, with particular emphasis on a selection of models, methods and tools that this strand of thought uses to approach and explain observable phenomena.

Design/methodology/approach

After a brief discussion on the meaning and context of behavioral economics, the manuscript identifies five topics of special interest: time preference, heuristics, emotions, finance and macro behavior. For each of these topics, relevant models, methods and tools are identified and scrutinized.

Findings

Behavioral economics and finance establish an effective bridge between orthodox economic thinking and new and revolutionary methods of analysis. Exploring the intricacies of human behavior can frequently be done by adapting the trivial and conventional intertemporal utility maximization models that economists insistently resort to, but to fully grasp such intricacies, a step forward is required. Agent-based models and other tools from complexity sciences constitute the analytical arsenal that is needed to improve our understanding of how behavioral issues attach to heterogeneity, local interaction, path-dependence, out-of-equilibrium dynamics and emergence.

Originality/value

Although surveys on behavioral economics and finance abound in the specialized literature, this study has the peculiarity of emphasizing five relevant topics that are particularly illustrative of the pivotal role of behavioral science in promoting the transition from the strict neoclassical perspective to a less mechanic and more organic view of economics and finance.

Citation

Gomes, O. (2023), "Behavioral economics and finance: a selective review of models, methods and tools", Studies in Economics and Finance, Vol. 40 No. 3, pp. 393-410. https://doi.org/10.1108/SEF-06-2022-0304