An informationally inefficiency market is produced without an exogenous source of noise in the price. Fundamental traders acquire private information directly through research. Regression traders employ a learning process to extract the private fundamental information from the public price. The relative popularity between these two strategies evolves based on performance. The model converges towards adoption of regression analysis to the point of creating instability, endogenously producing a noisy price. The lack of a revealing price in the coupled learning and population processes reflects the Grossman and Stiglitz (Amer. Econ. Rev. 70(3)(1980)393) impossibility of informationally efficient markets. © 2004 Elsevier B.V. All rights reserve...
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The paper demonstrates how the E-stability principle introduced by Evans and Honkapohja [2001. Learn...
Trading skills are highly rewarded in practice but largely ignored in theoretical models of financia...
In this paper we apply a learning model from machine learning, to a human trading crowd to understan...
A dynamic model of financial markets with learning is demonstrated to produce a self-organized syste...
A dynamic model with learning and adaptation captures the evolution in trader beliefs and trading st...
In a dynamic asset pricing model informed traders receive a noisy signal of the value of a risky ass...
The topic of this dissertation is equilibrium selection in models with incomplete and imperfect info...
We study a dynamic market process in which traders condition their beliefs about payoff-relevant par...
This research explores one possible explanation for market efficiency, the Marginal Trader Hypothesi...
An agent-based artificial financial market (AFM) is used to study market efficiency and learning in ...
We study the informational efficiency of a market with a single traded asset. The price initially di...
This paper considers a duopoly price-choice game in which the unique Nash equilibrium is the Bertran...
Increasingly, it has become difficult to explain economic phenomena within the neo-classical framewo...
An agent-based artificial financial market (AFM) is used to study market efficiency and learning in ...
We consider a duopoly pricing game with a unique Bertrand–Nash equilib-rium. The high-price firm has...
The paper demonstrates how the E-stability principle introduced by Evans and Honkapohja [2001. Learn...
Trading skills are highly rewarded in practice but largely ignored in theoretical models of financia...
In this paper we apply a learning model from machine learning, to a human trading crowd to understan...