We propose that innovative originality (InnOrig) is a valuable organizational resource, and that owing to limited investor attention and skepticism of complexity, firms with greater InnOrig are undervalued. We find that firms' InnOrig strongly predicts higher, more persistent, and less volatile...

We propose a theoretically-motivated factor model based on investor psychology and assess its ability to explain the cross-section of U.S. equity returns. Our factor model augments the market factor with two factors which capture long- and short-horizon mispricing. The long-horizon factor...

Theories of customer supplier relationships hold that the private information of suppliers about buyers explains the use of trade credit even when there is a competitive banking sector. If suppliers possess private information about their buyers, then the buyer's order size and ability to pay on...

We find that innovative efficiency (IE), patents or citations scaled by R&D, is a strong positive predictor of future returns after controlling for firm characteristics and risk. The IE-return relation is associated with the loading on a mispricing factor, and the high Sharpe ratio of the...

We propose that innovative originality is a valuable organizational resource, and that owing to limited investor attention and skepticism of complexity, greater innovative originality may be undervalued. We find that firms' innovative originality strongly predicts higher, more persistent, and...

These are the slides for the paper “Innovative Originality, Profitability, And Stock Returns.” The abstract of this paper is the following: We propose that innovative originality is a valuable organizational resource and that owing to limited investor attention and skepticism of complexity,...

We propose a theoretically-motivated factor model based on investor psychology and assess its ability to explain the cross-section of U.S. equity returns. Our factor model augments the market factor with two factors which capture long- and short-horizon mispricing. The long-horizon factor...

A war-related factor model derived from textual analysis of media news reports explains the cross section of expected asset returns. Using a semi-supervised topic model to extract discourse topics from 7,000,000 New York Times stories spanning 160 years, the war factor predicts the cross section...