
doi: 10.1093/rof/rfq019
Abstract I derive and test implications of the operating leverage hypothesis for the cross-section of expected returns. Using a novel measure of operating leverage, I document that operating leverage predicts returns in the cross-section, and that strategies formed by sorting on operating leverage earn significant excess returns. Operating leverage also explains why the value premium is weak and non-monotonic across industries, but strong and monotonic within industries. Intra-industry differences in book-to-market are driven by differences in operating leverage, giving rise to expected return differences. Industry differences in book-to-market are driven by differences in the capital intensity of production unrelated to returns.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 286 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
