We use novel data on individual activity in a sports betting market to study the effect of past performance sequences on individual behavior in a real market. The revelation of fundamental values in this market enables us to disentangle whether behavior is caused by sentiment or by superior...

We show that mutual fund managers' trading experiences bias their future repurchasing decisions. Specifically, a fund is 17% more likely to repurchase a stock when it previously sold the stock for a gain rather than for a loss. Fund managers still prefer to repurchase stocks they sold for a gain...

This paper shows investors' lottery preference can attenuate price underreaction to extreme good earnings news. Such news reaffirms investors' preference for stocks with strong ex ante lottery-like features, thereby accelerating price adjustments. We find that PEAD attenuates for stocks with...

This study proposes that the performance of mutual fund managers is linked to how efficiently they allocate attention across assets in their investment set. Motivated by existing models of optimal portfolio choice and rational inattention, we posit that the efficiency of attention allocation...

This paper explores an unexamined sentiment channel through which technical analysis can add value. We use a spectrum of technical trading strategies to build a daily market sentiment indicator that is highly correlated with other commonly used sentiment measures. This technical-analysis-based...

We extend the noise trader risk model of Delong et al. (J Polit Econ 98:703–738, 1990) to a model with multiple risky assets to demonstrate the effect of investor sentiment on the cross-section of stock returns. Our model formally demonstrates that market-wide sentiment leads to relatively...

We analyse the relationship between large cap returns and sentiment indexes, using a Capital Asset Pricing Model (CAPM) framework. We try to provide a better explanation of asset prices and their deviations from standard theories by means of sentiment indicators, assuming the latter being...

Using instant message communications and trading records of professional traders, we directly measure how investment information propagates in traders’ social networks and how it affects their trading decisions and performance. Traders are more likely to mention stocks with gains over losses,...

This study analyzes the potential effectiveness of using simple technical analysis indicators to determine the overall riskiness of portfolio asset allocation. Using the 200-day simple moving average of the S&P500 as our technical indicator in two separate strategies, we employ a “risk-on”...