title | author | date | output |
---|---|---|---|
Beneish M-Score Calculator |
Michael Jonelis |
8/11/2021 |
html_document |
Prof. Daniel Beneish created the M-Score as a way to predict earnings manipulation. His model takes data from the Income Statement, Balance Sheet, and Statement of Cash Flows of a company for two consecutive years. The data are combined into eight indices that are used as input variables in a probit model. The output of the model combined with a standard normal distribution can be used to predict the probability that the company has manipulated its earnings in the most recent year.
This app allows you to select from 384 companies from the S&P500 to view their m-scores, probabilities of manipulating earnings, and descriptive graphs about their financials. Note that the model should not be used on financial institutions, so we've removed them from our data set along with companies that were missing required line-items.
Beneish's Model follows the form:
To read Beneish's original paper click below.
Beneish M-Score