This paper surveys learning-to-forecast experiments (LtFEs) with human subjects to test
theories of expectations and learning. Subjects must repeatedly forecast a market price …

This chapter surveys the state-of-art of heterogeneous agent models (HAMs) in finance
using a jointly theoretical and empirical analysis, combined with numerical analysis from the …

Статья посвящена новым методам эволюционного моделирования. Автор показывает
недостатки стандартной экономической теории и предлагает сделать объектом …

The paper, largely based on the introduction to Dosi (2012), elaborates on the main
interpretative ingredients, methodology and challenges ahead of the evolutionary research …

The traditional financial paradigm seeks to understand financial markets by using models in
which markets are perfect, which includes agents who are “rational” and update their beliefs …

In this manuscript, we summarize prior research on the agent-based modeling of financial
markets. While extensive research related to agent-based modeling has been done in …

This paper extends the analysis of the seminal work of Brock and Hommes (1997, 1998) on
heterogeneous beliefs and rational routes to randomness in discrete-time models to a …

The dynamics of a financial market with heterogeneous agents are analyzed under different
market architectures. We start with a tractable behavioral model under Walrasian market …

This short note compares and contrasts two forms of learning which are present in most
agent-based financial markets. First, passive learning refers to a form of “as if rationality” …

In a repeated market for short-lived assets, we investigate wealth-driven selection among
investment rules that depend on endogenous market variables, such as current and past …