We propose a new measure of investor disagreement based on thirty-nine factors from the return-predicting anomaly literature. Consistent with theoretical work on volume, we show that a one standard deviation change in anomaly-based disagreement is associated with a 16.7% higher turnover in the...

This paper shows that belief differences have strong effects on asset prices in consumption-based asset-pricing models with long-run risks. Belief heterogeneity leads to time-varying consumption and wealth shares of the agents. This time variation can resolve several asset-pricing puzzles,...

We examine the presence of the Ramadan effect in feedback trading drawing on a sample of eleven majority Muslim markets for the period of 29/6/2001 to 1/8/2016. Feedback trading is significant in several of these markets, appearing stronger outside, rather than within, Ramadan. These results...

In this paper, we propose a stop-loss strategy to limit the downside risk of the well-known momentum strategy. At a stop-level of 10%, we find, with data from January 1926 to December 2013, that the maximum monthly losses of the equal- and value-weighted momentum strategies go down from -49.79%...

This paper intends to contribute to the theoretical literature on the determinants of exchange rate fluctuations. We build an agent-based model, based on behavioral assumptions inspired by the literature on behavioral finance and by empirical surveys about the behavior of foreign exchange...

This paper aims at providing new insights on the pricing of aggregate volatility risk by incorporating investor sentiment in the relation between sensitivity to innovations in implied market volatility and expected stock returns. Using both cross-sectional and time series analysis, we...

This paper presents a stylized model of interaction among boundedly rational heterogeneousagents in a multi-asset financial market to examine how agents' impatience, extrapolation, andswitching behaviours can affect cross-section market stability. Besides extrapolation and performance based...