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When asset returns are unstable, investment performance directly depends on learning about their patterns optimally. Without optimal learning, strong investment performance is not possible. Yet, optimal learning is often considered too complex for investors to achieve. In order to test this...
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Neoclassical finance assumes that investors are Bayesian. In many realistic situations, Bayesian learning is challenging. Here, we consider investment opportunities that change randomly, while payoffs are observable only when invested. In a stylized version of the task, we wondered whether...
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How do people record information about the outcomes they observe in their environment? Building on a well-established neuroscientific framework, we propose a model in which people are hampered in their perception of outcomes that they expect to seldom encounter. We provide experimental evidence...
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We investigate subjective reactions when subjects realize they have been victims of framing-effects in situations of risky choices - that is, when they violated the invariance principle in decision-theory. We try to assess various explanations of this violation in terms of bounded rationality...
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