Using theories from the behavioral finance literature to predict that investors are attracted to industries with more salient outcomes and that therefore firms in such industries have higher valuations, we find that firms in industries that have high industry-level dispersion of profitability...

Value stocks are more exposed to disaster risk than growth stocks. Embedding disasters into an investment-based asset pricing model induces strong nonlinearity in the pricing kernel. Our single-factor model reproduces the failure of the CAPM in explaining the value premium in finite samples in...

Motivated from investment-based asset pricing, we propose a new factor model that consists of the market factor, a size factor, an investment factor, and a return-on-equity factor. The new model [i] outperforms the Carhart (1997) four-factor model in pricing portfolios formed on earnings...

Motivated from investment-based asset pricing, we propose a new factor model consisting of the market factor, a size factor, an investment factor, and a return on equity factor. The new factor model outperforms the Carhart four-factor model in pricing portfolios formed on earnings surprise,...

This paper compares the Hou, Xue, and Zhang (2014) q-factor model and the Fama and French (2014a) five-factor model on both conceptual and empirical grounds. It raises four concerns with the motivation of the five-factor model: The internal rate of return often correlates negatively with the...

Using monthly returns for over 27,000 stocks from 49 countries over a three-decade period, we show that a multifactor model that includes factor-mimicking portfolios based on momentum and cash flow-to-price captures significant time-series variation in global stock returns, and has lower pricing...

We use earnings forecasts from a cross-sectional model to proxy for cash flow expectations and estimate the implied cost of capital (ICC) for a large sample of firms over 1968–2008. The earnings forecasts generated by the cross-sectional model are superior to analysts' forecasts in terms of...

We parsimoniously characterize the severity of market frictions affecting a stock using the delay with which its price responds to information. The most delayed firms command a large return premium not explained by size, liquidity, or microstructure effects. Moreover, delay captures part of the...

I argue that the slow diffusion of industry information is a leading cause of the lead-lag effect in stock returns. I find that the lead-lag effect between big firms and small firms is predominantly an intra-industry phenomenon. Moreover, this effect is driven by sluggish adjustment to negative...