Overconfidence is used to explain various instances of detrimental decision making. In behavioral economic and finance models, it is usually captured by misperceiving the reliability of signals and results in overweighting private information. Empirical tests of these models often fail to find...

Overweighting private information is often used to explain various detrimental decisions. In behavioral economics and finance, it is usually modeled as a direct consequence of misperceiving signal reliability. This bias is typically dubbed overconfidence and linked to the judgment literature in...

We investigate the theoretically proposed link between judgmental overconfidence and trading activity. In addition to applying classical measures of miscalibration, we introduce a measure to capture misperception of signal reliability, which is the relevant bias in the theoretical overconfidence...

We investigate whether experimental participants follow their private information and contradict herds in situations where it is empirically optimal to do so. We consider two sequences of players, an observed and an unobserved sequence. Observed players sequentially predict which of two options...

We investigate the theoretically proposed link between judgmental overconfidence and trading activity. In addition to applying classical measures of miscalibration, we introduce a measure to capture misperception of signal reliability, which is the relevant bias in the theoretical overconfidence...

Weizsäcker (2010) estimates the payoff of actions to test rational expectations and to measure the success of social learning in information cascade experiments. He concludes that participants perform poorly when learning from others and that rational expectations are violated. We show that his...

We investigate whether experimental participants follow their private information and contradict herds in situations where it is empirically optimal to do so. We consider two sequences of players, an observed and an unobserved sequence. Observed players sequentially predict which of two options...

We examine in an experiment the causes, consequences and possible cures of myopic loss aversion (MLA) for investment behaviour under risk. We find that both, investment horizons and feedback frequency contribute almost equally to the effects of MLA. Longer investment horizons and less frequent...

Myopic loss aversion (MLA) has been established as one prominent explanation for the equity premium puzzle. In this paper we address two issues related to the effects of MLA on risky investment decisions. First, we assess the relative impact of feedback frequency and investment flexibility (via...