We show that economic activity plays an important role in explaining momentum-based anomalies. A simple two-factor model containing the market and alternative indicators of economic activity as risk factors—industrial production, capacity utilization rate, retail sales, and a broad economic index—offers considerable explanatory power for the cross-section of price and industry momentum portfolios. Hence past winners enjoy higher average returns than past losers because they have larger macroeconomic risk. The model compares favorably with popular multifactor models used in the literature. Moreover, our model is consistent with Merton’s Intertemporal CAPM framework, since the macro variables forecast stock market volatility and future economic activity.

We provide strong evidence that the dispersion of individual stock options trading volume across moneynesses (IDISP) contains valuable information about future stock returns. Stocks with high IDISP consistently underperform those with low IDISP by more than 1% per month. In line with the idea that IDISP reflects dispersion in investors’ beliefs, we find that the negative IDISP-return relationship is particularly pronounced around earnings announcements, in high sentiment periods and among stocks that exhibit relatively high short-selling impediments. Moreover, the IDISP effect is highly persistent and robustly distinct from the effects of a large array of previously documented cross-sectional return predictors.