Can boundedly rational agents survive competition with fully rational agents? The authors develop a highly nonlinear heterogeneous agents model with rational forward looking versus boundedly rational backward looking agents and evolving market shares depending on their relative performance. Their novel numerical solution method detects equilibrium paths characterized by complex bubble and crash dynamics. Boundedly rational trend-extrapolators amplify small deviations from fundamentals, while rational agents anticipate market crashes after large bubbles and drive prices back close to fundamental value. Overall rational and non-rational beliefs co-evolve over time, with time-varying impact, and their interaction produces complex endogenous bu...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
In the present paper, a model of a market consisting of real and financial interacting sectors is st...
This article develops a general method to solve dynamic models of interactions between multiple stra...
We propose an extension of the class of rational expectations bubbles (REBs) to the more general rat...
Summary. We explore market dynamics generated by the Santa-Fe Artificial Stock Market model. It allo...
Here, we show that agents who are ex ante rational, if allowed to interact locally, may generate clu...
Here, we show that agents who are ex ante rational, if allowed to interact locally, may generate clu...
This chapter reviews some work on bounded rationality, expectation formation and learning in complex...
This chapter reviews some work on bounded rationality, expectation formation and learning in complex...
Standard economic theory assumes that agents in markets behave rationally. However, the observation ...
Traditional finance is built on the rationality paradigm. This chapter discusses simple models from ...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
In the present paper, a model of a market consisting of real and financial interacting sectors is st...
This article develops a general method to solve dynamic models of interactions between multiple stra...
We propose an extension of the class of rational expectations bubbles (REBs) to the more general rat...
Summary. We explore market dynamics generated by the Santa-Fe Artificial Stock Market model. It allo...
Here, we show that agents who are ex ante rational, if allowed to interact locally, may generate clu...
Here, we show that agents who are ex ante rational, if allowed to interact locally, may generate clu...
This chapter reviews some work on bounded rationality, expectation formation and learning in complex...
This chapter reviews some work on bounded rationality, expectation formation and learning in complex...
Standard economic theory assumes that agents in markets behave rationally. However, the observation ...
Traditional finance is built on the rationality paradigm. This chapter discusses simple models from ...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
In this paper I study the relationship between rationality and asset prices when agents have heterog...
In the present paper, a model of a market consisting of real and financial interacting sectors is st...
This article develops a general method to solve dynamic models of interactions between multiple stra...