We have excellent news.
The Journal of Financial Economics selected the paper, Core Earnings: New Data & Evidence, for publication.
The paper reveals:
- Legacy fundamental datasets suffer from significant inaccuracies, omissions and biases.
- Only our “novel database” enables investors to overcome those flaws and apply reliable fundamental data in their research.
- Our proprietary measures of Core Earnings and Earnings Distortion materially improve stock picking and forecasting of profits.
Now, all investors, not just Wall Street insiders, can properly assess corporate profits after excluding the unusual gains and losses that companies bury in footnotes.
The authors, professors from Harvard Business School and MIT Sloan, invested years of research into the paper. After it was rigorously reviewed by experts, The Journal of Financial Economics, a top-three peer-reviewed journal in the world, selected it for publication.
With the 100% transparency of our models, the authors could unequivocally demonstrate the differences in our data and models versus legacy firms. We eagerly share the unrivalled rigor of our research.
The paper also highlights the difficulty in collecting critical data from the footnotes and the MD&A. It underscores the unrivaled efficacy of our Robo-Analyst technology for intelligently analyzing complex financial statements and disclosures at unprecedented scale.
Harvard Business School and MIT Sloan are not the only institutions to write papers on the superiority of our data and research. Find more papers here.
This article originally published on January 12, 2021.
Disclosure: David Trainer, Kyle Guske II, and Matt Shuler receive no compensation to write about any specific stock, sector, style, or theme.