We develop and test a framework of mental information representation in an asset market setting. The model predicts heterogeneous trading behavior as a consequence of two distinct mental capabilities: analytical skills and mentalizing, where the former involves quantitative, objective aspects of...

We develop a novel experimental paradigm to study the causal impact of trading algorithms on informational efficiency, liquidity, and welfare. In our design, public information about the asset value is revealed during trading, which gives algorithms a reaction speed advantage. We distinguish...

We survey clients of a German online bank to study retail investors' beliefs about the autocorrelation of annual returns of the aggregate stock market, and the role of these beliefs in financial decisions. A majority of our respondents believe in mean reversion of aggregate returns, and these...

This paper shows that consumption-based asset pricing puzzles arise from using globally concave-shaped consumption utility. We empirically find that asset returns correlate negatively with many individuals' low-quantile consumption growth. This finding challenges most mainstream models and...

This paper examines the relation between investor attention and stock market anomalies in the US stock market. We find anomalies are stronger following high rather than low attention periods. Returns on the long–short strategy based on a composite mispricing score during high attention months...