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 …

This survey discusses behavioral and experimental macroeconomics, emphasizing a
complex systems perspective. The economy consists of boundedly rational heterogeneous …

Recognising that the economy is a complex system with boundedly rational interacting
agents, the book presents a theory of behavioral rationality and heterogeneous expectations …

This paper aims to investigate herding behavior and its impact on volatility under
uncertainty. We apply a cross-sectional absolute deviation approach as well as Quantile …

In recent “learning to forecast” experiments (Hommes et al. 2005), three different patterns in
aggregate price behavior have been observed: slow monotonic convergence, permanent …

This paper investigates the nexus between climate-related variables, commodity price co-
movements and financial stability. First, we project the commodity price time series onto a …

Macroeconomic theories have traditionally been tested using nonexperimental field data,
most often national income account data on GDP and its components. This practice follows …

We analyze the individual and macroeconomic impacts of heterogeneous expectations and
action rules within an agent‐based model populated by heterogeneous, interacting firms …

We outline a vision for an ambitious program to understand the economy and financial
markets as a complex evolving system of coupled networks of interacting agents. This is a …