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on Evolutionary Economics |
By: | Menkhoff, Lukas; Nikiforow, Marina |
Abstract: | This paper provides evidence on the hypothesis that many behavioral finance patterns are so deeply rooted in human behavior that they are difficult to overcome by learning. We test this on a target group which has undoubtedly very strong incentives to learn efficient behavior, i.e. fund managers. We split this group into endorsers and non-endorsers of behavioral finance. Endorsers do, indeed, view markets differently as they regard stronger influences from behavioral biases. However, when it comes to the perception of one's own behavior the endorsement of behavioral finance becomes almost meaningless, even though endorsers otherwise do adapt behavior to their endorsement. |
Keywords: | behavioral finance, fund managers, biasess |
JEL: | G10 D83 |
Date: | 2008–03 |
URL: | http://d.repec.org/n?u=RePEc:han:dpaper:dp-392&r=evo |
By: | H. Peyton Young |
Abstract: | A person learns by trial and error if he occasionally tries out new strategies, rejecting choices that are erroneous in the sense that they do not lead to higher payoffs. In a game, however, strategies can become erroneous due to a change of behavior by someone else. We introduce a learning rule in which behavior is condition on whether a player experiences an error of the first or second type. This rule, called interactive trial and error learning, implements Nash equilibrium behavior in any game with generic payoffs and at least one pure Nash equilibrium. |
Keywords: | Learning, Adaptive Dynamics, Nash Equilibrium, Bounded Rationality |
JEL: | C72 D83 |
Date: | 2008 |
URL: | http://d.repec.org/n?u=RePEc:oxf:wpaper:384&r=evo |
By: | Jason Shachat; J. Todd Swarthout |
Abstract: | We examine experimentally how humans behave when they, unbeknownst to them, play against a computer which implements its part of a mixed strategy Nash equilibrium. We consider two games, one zero-sum and another unprofitable with a pure minimax strategy. A minority of subjects' play was consistent with their Nash equilibrium strategy. But a larger percentage of subjects' play was more consistent with different models of play: equal-probable play for the zero-sum game, and the minimax strategy in the non-profitable game. |
Date: | 2008–03 |
URL: | http://d.repec.org/n?u=RePEc:exc:wpaper:2008-07&r=evo |
By: | Tavoni, Alessandro |
Abstract: | Substantial evidence has been accumulated in recent empirical works on the limited ability of the Nash equilibrium to rationalize observed behavior in many classes of games played by experimental subjects. This realization has led to several attempts aimed at finding tractable equilibrium concepts which perform better empirically, often by introducing a reference point to which players compare the available payoff allocations, as in impulse balance equilibrium (Selten & Chmura, forthcoming) and in the inequity aversion model (Fehr & Schmidt,1999). The purpose of this paper is to review some features of this recent literature and to propose a new, empirically sound, unifying concept which combines elements of fairness with reference considerations. |
Keywords: | Fairness; Inequity aversion; Aspiration level; Impulse balance; Behavioral economics; Experimental economics; Jacknife estimator |
JEL: | D63 D01 C72 C91 |
Date: | 2007–10 |
URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:7760&r=evo |
By: | H. Peyton Young |
Abstract: | A person is concerned about self-image if his utility function depends, not only on his actions, but also on his beliefs about what sort of person he is. This dual motivation problem makes it difficult, and in some cases impossible, for someone to learn who he really is based solely on his revealed behavior. Indeed, there are very simple situations, involving just two actions and two possible identities, such that, if there is any initial uncertainty about one's true identity, it will never be resolved even when one has an infinite number of opportunities to act. |
Keywords: | Knowledge, Self-Signalling, Learning |
JEL: | C70 D83 |
Date: | 2008 |
URL: | http://d.repec.org/n?u=RePEc:oxf:wpaper:383&r=evo |
By: | Ariel Rubinstein |
Date: | 2008–03–17 |
URL: | http://d.repec.org/n?u=RePEc:cla:levrem:122247000000001984&r=evo |