Researchers, using the survey conducted by Money Market Services, Inc., have found that the anticipated component in the Federal Reserve's weekly money supply announcement is negatively correlated with the post- announcement change in market yields. We prove that eliminating a (downward) bias in...

As a group, market forecasters are egregiously overconfident. In conformity to the dynamic model of overconfidence of Gervais and Odean (2001), successful forecasters become more overconfident. What's more, more experienced forecasters have quot;learned to be overconfident,quot; and hence are...

There is evidence that risk-taking behavior is influenced by prior monetary gains and losses. When endowed with house money, people become more risk taking. This paper is the first to report a house money effect in a dynamic, financial setting. Using an experimental method, the authors compare...

The robustness of bubbles and crashes in markets for finitely lived assets is perplexing. This paper reports the results of experimental asset markets in which participants trade two assets. In some markets, price bubbles form. In these markets, traders will pay even higher prices for the asset...

In twelve sessions conducted in a typical bubble-generating experimental environment, we design a pair of assets that can detect both irrationality and speculative behavior. The specific form of irrationality we investigate is probability judgment error associated with low-probability,...

Researchers, using the survey conducted by Money Market Services, Inc., have found that the anticipated component in the Federal Reserve's weekly money supply announcement is negatively correlated with the post- announcement change in market yields. We prove that eliminating a (downward) bias in...

We document using the ZEW panel of German stock market forecasters that weak forecasters tend to be overconfident in the sense that they provide extreme forecasts and their confidence intervals are less likely to contain eventual realizations. Moderate filters based on forecast accuracy over...