A New Paradigm For Fundamental Data
For 5,000+ U.S. Exchange-traded stocks, 700+ ETFs and 7,000+ mutual funds with history back to 1998.
Harvard Business School & MIT Sloan paper features our "novel dataset" of earnings adjustments and shows investors how to:
Measure & predict earnings more accurately
Lower risks of using misleading data from traditional firms
Generate Alpha
The implications of these findings are potentially far-reaching for investors and for researchers.
HBS & MIT Sloan paper, page 33
...this is the most comprehensive dataset that captures what a fundamental analyst would be likely to identify as transitory or non-operating earnings items ...
HBS & MIT Sloan paper, page 9-10