As the leading provider of insights into the fundamentals and valuation of private and public businesses, we’re proud to announce that our proprietary Robo-Analyst technology and unique fundamental data will be featured in The Journal of Financial Economics, one of the top peer-reviewed journals in the world.
The Journal of Financial Economics accepted for publication, Core Earnings: New Data & Evidence, a paper by Harvard Business School (Ethan Rouen & Charles Wang) & MIT Sloan (Eric So) professors that empirically demonstrates the unprecedented value-add of New Constructs’ fundamental data.
The paper utilizes our Robo-Analyst technology, which leverages artificial intelligence to mine the footnotes of financial filings to create a more accurate measure of earnings, named Core Earnings by the professors.
“Validation of the superiority of our fundamental data by a top-three peer-reviewed journal is a major endorsement of the unique value of our research and our Robo-Analyst technology”, said David Trainer, CEO of New Constructs. “Investors need access to data buried in the footnotes to get the truth about profits, and we are excited to see the academic community recognize our efforts to democratize access to research previously available only to Wall Street insiders.”
“The findings from this academic research confirm that investors shouldn’t ignore the treasure trove of data that gets buried in the footnotes of company financial statements,” said Lee Moneta-Koehler, COO of New Constructs. “We are proud to see the academic community shed light on the importance of adjusting traditional profitability metrics for unusual gains/losses that other firms and Wall Street analysts tend to ignore.”
This article originally published on December 3, 2020.
Disclosure: David Trainer, Kyle Guske II, and Matt Shuler receive no compensation to write about any specific stock, sector, style, or theme.