Many recently proposed, seemingly different factor models are closely related. In spanning tests, the q-factor model largely subsumes the Fama-French 5- and 6-factor models, and the q^5 model subsumes the Stambaugh-Yuan 4-factor model. Their “mispricing” factors are sensitive to the...

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...

Is the value premium predictable? We study time-variations of the expected value premium using a two-state Markov switching model. We find that when conditional volatilities are high, the expected excess returns of value stocks are more sensitive to aggregate economic conditions than the...

We construct accounting-based costs of equity for dollar neutral long-short trading strategies formed on a comprehensive list of anomaly variables. These variables include book-to-market, size, composite issuance, net stock issues, abnormal investment, asset growth, investment-to-assets,...

We question a deep-ingrained doctrine in asset pricing: If an empirical characteristic-return relation is consistent with investor "rationality," the relation must be "explained" by a risk factor model. The investment approach changes the big picture of asset pricing. Factors formed on...

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,...

We take a simple q-theory model and ask how well it can explain external financing anomalies, both qualitatively and quantitatively. Our central insight is that optimal investment is an important driving force of these anomalies. The model simultaneously reproduces procyclical equity issuance...