Overconfidence has been extensively documented in psychology and economics. This paper studies the long-term interaction between two overconfident agents who learn about common payoff-relevant fundamentals, such as the quality of a joint project or their working environment, and choose how much...

We introduce a novel framework to study targeted policy interventions. Agents: 1) differ both in their likelihood of and loss from interaction, 2) exert negative externalities through interaction, and 3) can exert costly effort to isolate. Additionally, a planner can select a subset of agents to...

We explore the macro-financial consequences of the disruption of a supply chain in an agent based framework characterized by two networks, a credit network connecting banks and firms and a production network connecting upstream and down-stream firms. We consider two scenarios. In the first one,...

This article presents an equilibrium-based multi-agent optimal consumption and portfolio problem incorporating sentiments, where multiple agents have heterogeneous (optimistic, pessimistic, neutral) views on fundamental risks represented by Brownian motions.Each agent maximizes its expected...

Overconfidence has been extensively documented in psychology and economics. This paper studies the long-term interaction between two overconfident agents who learn about common payoff-relevant fundamentals, such as the quality of a joint project or their working environment, and choose how...

This study will examine a dataset that contains 352 observations with 36 distinct variables. The dataset reflects people's thoughts and sentiments regarding a realistic fiction stock market game. The reason for analyzing this data is to identify any trends or patterns that might explain why...

We study settings in which, prior to playing an incomplete information game, players observe many draws of private signals about the state from some information structure. Signals are i.i.d. across draws, but may display arbitrary correlation across players. For each information structure, we...

We study an equilibrium-based continuous asset pricing problem for the securities market. In the previous work [16], we have shown that a certain price process, which is given by the solution to a forward backward stochastic differential equation of conditional McKean-Vlasov type, asymptotically...

We model the learning process of market traders during the unprecedented COVID-19 event. We introduce a behavioral heterogeneous agents’ model with bounded rationality by including a correction mechanism through representativeness (Gennaioli et al., 2015). To inspect the market crash induced...

As envisaged in the Sustainable Development Goals, eradicating poverty by 2030 is among the most important steps to achieve a better and more sustainable future. A key contribution to reach this target is to ensure that vulnerable households are effectively protected against weather-related...