This paper explores stock return predictability by exploiting the cross-section of oil futures prices. Motivated by the principal component analysis, we find the curvature factor of the oil futures curve predicts monthly stock returns: a 1% per month increase in the curvature factor predicts...

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 carry out a large-scale investigation of the out-of-sample profitability of in-sample profitable carry trade strategies, using foreign exchange data for 48 countries spanning a period from 1983 to 2015 and employing reality check and stepwise tests to correct for data-snooping bias (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...

We carry out a large-scale investigation of technical trading rules in the foreign exchange market, using daily data over a maximum of forty years for thirty developed and emerging market currencies. Employing a stepwise test to safeguard against data-snooping bias and examining over 21,000...

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,...